{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T17:50:52Z","timestamp":1791827452358,"version":"4.3.4"},"reference-count":245,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:00:00Z","timestamp":1791763200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:00:00Z","timestamp":1791763200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pharmacol. Rep"],"DOI":"10.1007\/s43440-026-00912-z","type":"journal-article","created":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T17:26:13Z","timestamp":1791825973000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Linking preclinical models with functional imaging and artificial intelligence to decode tumor angiogenesis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8965-1528","authenticated-orcid":false,"given":"Lenka","family":"Varinsk\u00e1","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0314-6788","authenticated-orcid":false,"given":"Pieter","family":"Koolwijk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,12]]},"reference":[{"issue":"8","key":"912_CR1","doi-asserted-by":"publisher","first-page":"1277","DOI":"10.1038\/s41591-018-0096-5","volume":"24","author":"D Lambrechts","year":"2018","unstructured":"Lambrechts D, Wauters E, Boeckx B, Aibar S, Nittner D, Burton O, et al. Phenotype molding of stromal cells in the lung tumor microenvironment. Nat Med. 2018;24(8):1277\u201389. https:\/\/doi.org\/10.1038\/s41591-018-0096-5.","journal-title":"Nat Med"},{"issue":"3","key":"912_CR2","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.ccr.2005.08.010","volume":"8","author":"MJ Paszek","year":"2005","unstructured":"Paszek MJ, Zahir N, Johnson KR, Lakins JN, Rozenberg GI, Gefen A, et al. Tensional homeostasis and the malignant phenotype. Cancer Cell. 2005;8(3):241\u201354. https:\/\/doi.org\/10.1016\/j.ccr.2005.08.010.","journal-title":"Cancer Cell"},{"issue":"6","key":"912_CR3","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1016\/j.cell.2015.08.016","volume":"162","author":"CH Chang","year":"2015","unstructured":"Chang CH, Qiu J, O\u2019sullivan D, Buck MD, Noguchi T, Curtis JD, et al. Metabolic competition in the tumor microenvironment is a driver of cancer progression. Cell. 2015;162(6):1229\u201341. https:\/\/doi.org\/10.1016\/j.cell.2015.08.016.","journal-title":"Cell"},{"issue":"38","key":"912_CR4","doi-asserted-by":"publisher","first-page":"15101","DOI":"10.1073\/pnas.1213353109","volume":"109","author":"T Stylianopoulos","year":"2012","unstructured":"Stylianopoulos T, Martin JD, Chauhan VP, Jain SR, Diop-Frimpong B, Bardeesy N, et al. Causes, consequences, and remedies for growth-induced solid stress in murine and human tumors. Proc Natl Acad Sci USA. 2012;109(38):15101\u201308. https:\/\/doi.org\/10.1073\/pnas.1213353109.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"11","key":"912_CR5","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1016\/j.trecan.2023.06.010","volume":"9","author":"A Nowosad","year":"2023","unstructured":"Nowosad A, Marine JC, Karras P. Perivascular niches: critical hubs in cancer evolution. Trends Cancer. 2023;9(11):897\u2013910. https:\/\/doi.org\/10.1016\/j.trecan.2023.06.010.","journal-title":"Trends Cancer"},{"issue":"23","key":"912_CR6","doi-asserted-by":"publisher","first-page":"2335","DOI":"10.1056\/NEJMoa032691","volume":"350","author":"H Hurwitz","year":"2004","unstructured":"Hurwitz H, Fehrenbacher L, Novotny W, Cartwright T, Hainsworth J, Heim W, et al. Bevacizumab plus irinotecan, fluorouracil, and leucovorin for metastatic colorectal cancer. N Engl J Med. 2004;350(23):2335\u201342. https:\/\/doi.org\/10.1056\/NEJMoa032691.","journal-title":"N Engl J Med"},{"issue":"8","key":"912_CR7","doi-asserted-by":"publisher","first-page":"2379","DOI":"10.1016\/j.cell.2026.03.016","volume":"189","author":"S Subudhi","year":"2026","unstructured":"Subudhi S, Lee S, Jain RK. Targeting angiogenesis: lessons from 25 years of normalizing tumor vasculature. Cell. 2026;189(8):2379\u2013415. https:\/\/doi.org\/10.1016\/j.cell.2026.03.016.","journal-title":"Cell"},{"issue":"6","key":"912_CR8","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1016\/S1535-6108(04)00305-8","volume":"6","author":"F Winkler","year":"2004","unstructured":"Winkler F, Kozin SV, Tong RT, Chae SS, Booth MF, Garkavtsev I, et al. Kinetics of vascular normalization by VEGFR2 blockade governs brain tumor response to radiationRole of oxygenation, angiopoietin-1, and matrix metalloproteinases. Cancer Cell. 2004;6(6):553\u201363. https:\/\/doi.org\/10.1016\/S1535-6108(04)00305-8.","journal-title":"Cancer Cell"},{"issue":"43","key":"912_CR9","doi-asserted-by":"publisher","first-page":"17561","DOI":"10.1073\/pnas.1215397109","volume":"109","author":"Y Huang","year":"2012","unstructured":"Huang Y, Yuan J, Righi E, Kamoun WS, Ancukiewicz M, Nezivar J, et al. Vascular normalizing doses of antiangiogenic treatment reprogram the immunosuppressive tumor microenvironment and enhance immunotherapy. Proc Natl Acad Sci USA. 2012;109(43):17561\u201366. https:\/\/doi.org\/10.1073\/pnas.1215397109.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"11","key":"912_CR10","doi-asserted-by":"publisher","first-page":"2308","DOI":"10.1038\/s12276-023-01114-w","volume":"55","author":"Y Choi","year":"2023","unstructured":"Choi Y, Jung K. Normalization of the tumor microenvironment by harnessing vascular and immune modulation to achieve enhanced cancer therapy. Exp Mol Med. 2023;55(11):2308\u201319. https:\/\/doi.org\/10.1038\/s12276-023-01114-w.","journal-title":"Exp Mol Med"},{"issue":"6","key":"912_CR11","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1016\/j.ccell.2016.10.006","volume":"30","author":"AR Cantelmo","year":"2016","unstructured":"Cantelmo AR, Conradi LC, Brajic A, Goveia J, Kalucka J, Pircher A, et al. Inhibition of the glycolytic activator PFKFB3 in endothelium induces tumor vessel normalization, impairs metastasis, and improves chemotherapy. Cancer Cell. 2016;30(6):968\u201385. https:\/\/doi.org\/10.1016\/j.ccell.2016.10.006.","journal-title":"Cancer Cell"},{"issue":"1","key":"912_CR12","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1186\/1756-9966-28-124","volume":"28","author":"R Cong","year":"2009","unstructured":"Cong R, Sun Q, Yang L, Gu H, Zeng Y, Wang B. Effect of genistein on vasculogenic mimicry formation by human uveal melanoma cells. J Exp Clin Cancer Res. 2009;28(1):124. https:\/\/doi.org\/10.1186\/1756-9966-28-124.","journal-title":"J Exp Clin Cancer Res"},{"key":"912_CR13","doi-asserted-by":"publisher","unstructured":"Pezzella F, Ribatti D. Vascular co-option and vasculogenic mimicry mediate resistance to antiangiogenic strategies. Cancer Rep. 2022;5(12):e 1318. https:\/\/doi.org\/10.1002\/cnr2.1318.","DOI":"10.1002\/cnr2.1318"},{"key":"912_CR14","doi-asserted-by":"publisher","first-page":"221","DOI":"10.3389\/fonc.2020.00221","volume":"10","author":"Y Haibe","year":"2020","unstructured":"Haibe Y, Kreidieh M, El Hajj H, Khalifeh I, Mukherji D, Temraz S, et al. Resistance mechanisms to anti-angiogenic therapies in cancer. Front Oncol. 2020;10:221. https:\/\/doi.org\/10.3389\/fonc.2020.00221.","journal-title":"Front Oncol"},{"issue":"17","key":"912_CR15","doi-asserted-by":"publisher","first-page":"5822","DOI":"10.1158\/1078-0432.CCR-11-1185","volume":"17","author":"C Carbone","year":"2011","unstructured":"Carbone C, Moccia T, Zhu C, Paradiso G, Budillon A, Chiao PJ, et al. Anti-VEGF treatment\u2013resistant pancreatic cancers secrete proinflammatory factors that contribute to malignant progression by inducing an EMT cell phenotype. Clin Cancer Res. 2011;17(17):5822\u201332. https:\/\/doi.org\/10.1158\/1078-0432.CCR-11-1185.","journal-title":"Clin Cancer Res"},{"issue":"4","key":"912_CR16","doi-asserted-by":"publisher","first-page":"1173","DOI":"10.2353\/ajpath.2008.071131","volume":"173","author":"R Hlushchuk","year":"2008","unstructured":"Hlushchuk R, Riesterer O, Baum O, Wood J, Gruber G, Pruschy M, et al. Tumor recovery by angiogenic switch from sprouting to intussusceptive angiogenesis after treatment with PTK787\/ZK222584 or ionizing radiation. Am J Pathol. 2008;173(4):1173\u201385. https:\/\/doi.org\/10.2353\/ajpath.2008.071131.","journal-title":"Am J Pathol"},{"issue":"3","key":"912_CR17","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/s10456-023-09876-7","volume":"26","author":"AC Dudley","year":"2023","unstructured":"Dudley AC, Griffioen AW. Pathological angiogenesis: mechanisms and therapeutic strategies. Angiogenesis. 2023;26(3):313\u201347. https:\/\/doi.org\/10.1007\/s10456-023-09876-7.","journal-title":"Angiogenesis"},{"issue":"10","key":"912_CR18","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1038\/nrc3366","volume":"12","author":"B Sennino","year":"2012","unstructured":"Sennino B, McDonald DM. Controlling escape from angiogenesis inhibitors. Nat Rev Cancer. 2012;12(10):699\u2013709. https:\/\/doi.org\/10.1038\/nrc3366.","journal-title":"Nat Rev Cancer"},{"issue":"8","key":"912_CR19","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1038\/s41568-023-00591-5","volume":"23","author":"Q Zeng","year":"2023","unstructured":"Zeng Q, Mousa M, Nadukkandy AS, Franssens L, Alnaqbi H, Alshamsi FY, et al. Understanding tumour endothelial cell heterogeneity and function from single-cell omics. Nat Rev Cancer. 2023;23(8):544\u201364. https:\/\/doi.org\/10.1038\/s41568-023-00591-5.","journal-title":"Nat Rev Cancer"},{"issue":"4","key":"912_CR20","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.ccr.2005.09.005","volume":"8","author":"O Casanovas","year":"2005","unstructured":"Casanovas O, Hicklin DJ, Bergers G, Hanahan D. Drug resistance by evasion of antiangiogenic targeting of VEGF signaling in late-stage pancreatic islet tumors. Cancer Cell. 2005;8(4):299\u2013309. https:\/\/doi.org\/10.1016\/j.ccr.2005.09.005.","journal-title":"Cancer Cell"},{"key":"912_CR21","doi-asserted-by":"publisher","unstructured":"Kuczynski EA, Yin M, Bar-Zion A, Lee CR, Butz H, Man S, et al. Co-option of liver vessels and not sprouting angiogenesis drives acquired Sorafenib Resistance in hepatocellular carcinoma. JNCI J Natl Cancer Inst. 2016;108(8):djw030. https:\/\/doi.org\/10.1093\/jnci\/djw030.","DOI":"10.1093\/jnci\/djw030"},{"issue":"8","key":"912_CR22","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1038\/s41571-019-0181-9","volume":"16","author":"EA Kuczynski","year":"2019","unstructured":"Kuczynski EA, Vermeulen PB, Pezzella F, Kerbel RS, Reynolds AR. Vessel co-option in cancer. Nat Rev Clin Oncol. 2019;16(8):469\u201393. https:\/\/doi.org\/10.1038\/s41571-019-0181-9.","journal-title":"Nat Rev Clin Oncol"},{"issue":"3","key":"912_CR23","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1016\/S0002-9440(10)65173-5","volume":"155","author":"AJ Maniotis","year":"1999","unstructured":"Maniotis AJ, Folberg R, Hess A, Seftor EA, Gardner LMG, Pe\u2019er J, et al. Vascular channel formation by human melanoma cells in vivo and in vitro: vasculogenic mimicry. Am J Pathol. 1999;155(3):739\u201352. https:\/\/doi.org\/10.1016\/S0002-9440(10)65173-5.","journal-title":"Am J Pathol"},{"issue":"16","key":"912_CR24","doi-asserted-by":"publisher","first-page":"5827","DOI":"10.1158\/1078-0432.CCR-04-2655","volume":"11","author":"P Marzola","year":"2005","unstructured":"Marzola P, Degrassi A, Calderan L, Farace P, Nicolato E, Crescimanno C, et al. Early antiangiogenic activity of SU11248 evaluated in vivo by dynamic contrast-enhanced magnetic resonance imaging in an experimental model of colon carcinoma. Clin Cancer Res. 2005;11(16):5827\u201332. https:\/\/doi.org\/10.1158\/1078-0432.CCR-04-2655.","journal-title":"Clin Cancer Res"},{"issue":"4","key":"912_CR25","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1007\/s10456-017-9566-5","volume":"20","author":"J Zhou","year":"2017","unstructured":"Zhou J, Zhang H, Wang H, Lutz AM, El Kaffas A, Tian L, et al. Early prediction of tumor response to bevacizumab treatment in murine colon cancer models using three-dimensional dynamic contrast-enhanced ultrasound imaging. Angiogenesis. 2017;20(4):547\u201355. https:\/\/doi.org\/10.1007\/s10456-017-9566-5.","journal-title":"Angiogenesis"},{"key":"912_CR26","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1016\/j.nucmedbio.2011.01.010","volume":"38","author":"S Valable","year":"2011","unstructured":"Valable S, Petit E, Roussel S, Marteau L, Toutain J, Divoux D, et al. Complementary information from magnetic resonance imaging and 18F-fluoromisonidazole positron emission tomography in the assessment of the response to an antiangiogenic treatment in a rat brain tumor model. Nucl Med Biol. 2011;38:781\u201393. https:\/\/doi.org\/10.1016\/j.nucmedbio.2011.01.010.","journal-title":"Nucl Med Biol"},{"issue":"9","key":"912_CR27","doi-asserted-by":"publisher","first-page":"1745","DOI":"10.1007\/s00018-019-03351-7","volume":"77","author":"R Lugano","year":"2020","unstructured":"Lugano R, Ramachandran M, Dimberg A. Tumor angiogenesis: causes, consequences, challenges and opportunities. Cell Mol Life Sci. 2020;77(9):1745\u201370. https:\/\/doi.org\/10.1007\/s00018-019-03351-7.","journal-title":"Cell Mol Life Sci"},{"issue":"3","key":"912_CR28","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/S0092-8674(00)80108-7","volume":"86","author":"D Hanahan","year":"1996","unstructured":"Hanahan D, Folkman J. Patterns and emerging mechanisms of the angiogenic switch during tumorigenesis. Cell. 1996;86(3):353\u201364. https:\/\/doi.org\/10.1016\/S0092-8674(00)80108-7.","journal-title":"Cell"},{"issue":"6398","key":"912_CR29","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1038\/359843a0","volume":"359","author":"D Shweiki","year":"1992","unstructured":"Shweiki D, Itin A, Soffer D, Keshet E. Vascular endothelial growth factor induced by hypoxia may mediate hypoxia-initiated angiogenesis. Nature. 1992;359(6398):843\u201345. https:\/\/doi.org\/10.1038\/359843a0.","journal-title":"Nature"},{"issue":"6","key":"912_CR30","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1016\/j.cell.2011.08.039","volume":"146","author":"M Potente","year":"2011","unstructured":"Potente M, Gerhardt H, Carmeliet P. Basic and therapeutic aspects of angiogenesis. Cell. 2011;146(6):873\u201387. https:\/\/doi.org\/10.1016\/j.cell.2011.08.039.","journal-title":"Cell"},{"issue":"6","key":"912_CR31","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1038\/nrd3455","volume":"10","author":"P Carmeliet","year":"2011","unstructured":"Carmeliet P, Jain RK. Principles and mechanisms of vessel normalization for cancer and other angiogenic diseases. Nat Rev Drug Discov. 2011;10(6):417\u201327. https:\/\/doi.org\/10.1038\/nrd3455.","journal-title":"Nat Rev Drug Discov"},{"issue":"4","key":"912_CR32","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1016\/S0002-9440(10)65006-7","volume":"156","author":"H Hashizume","year":"2000","unstructured":"Hashizume H, Baluk P, Morikawa S, McLean JW, Thurston G, Roberge S, et al. Openings between defective endothelial cells explain tumor vessel leakiness. Am J Pathol. 2000;156(4):1363\u201380. https:\/\/doi.org\/10.1016\/S0002-9440(10)65006-7.","journal-title":"Am J Pathol"},{"issue":"6976","key":"912_CR33","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1038\/427695a","volume":"427","author":"TP Padera","year":"2004","unstructured":"Padera TP, Stoll BR, Tooredman JB, Capen D, di Tomaso E, Jain RK. Pathology: cancer cells compress intratumour vessels. Nature. 2004;427(6976):695. https:\/\/doi.org\/10.1038\/427695a.","journal-title":"Nature"},{"issue":"3","key":"912_CR34","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.cell.2005.02.034","volume":"121","author":"A Orimo","year":"2005","unstructured":"Orimo A, Gupta PB, Sgroi DC, Arenzana-Seisdedos F, Delaunay T, Naeem R, et al. Stromal fibroblasts present in invasive human breast carcinomas promote tumor growth and angiogenesis through elevated SDF-1\/CXCL12 secretion. Cell. 2005;121(3):335\u201348. https:\/\/doi.org\/10.1016\/j.cell.2005.02.034.","journal-title":"Cell"},{"issue":"4","key":"912_CR35","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1038\/s41568-023-00549-7","volume":"23","author":"M Tsoumakidou","year":"2023","unstructured":"Tsoumakidou M. The advent of immune stimulating CAFs in cancer. Nat Rev Cancer. 2023;23(4):258\u201369. https:\/\/doi.org\/10.1038\/s41568-023-00549-7.","journal-title":"Nat Rev Cancer"},{"issue":"19","key":"912_CR36","doi-asserted-by":"publisher","first-page":"11052","DOI":"10.3390\/ijms231911052","volume":"23","author":"M Garcia-Caballero","year":"2022","unstructured":"Garcia-Caballero M, Sokol L, Cuypers A, Carmeliet P. Metabolic reprogramming in tumor endothelial cells. IJMS. 2022;23(19):11052. https:\/\/doi.org\/10.3390\/ijms231911052.","journal-title":"IJMS"},{"issue":"6423","key":"912_CR37","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1038\/362841a0","volume":"362","author":"KJ Kim","year":"1993","unstructured":"Kim KJ, Li B, Winer J, Armanini M, Gillett N, Phillips HS, et al. Inhibition of vascular endothelial growth factor-induced angiogenesis suppresses tumour growth in vivo. Nature. 1993;362(6423):841\u201344. https:\/\/doi.org\/10.1038\/362841a0.","journal-title":"Nature"},{"issue":"7129","key":"912_CR38","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1038\/nature05571","volume":"445","author":"M Hellstrom","year":"2007","unstructured":"Hellstrom M, Phng LK, Hofmann JJ, Wallgard E, Coultas L, Lindblom P, et al. Dll4 signalling through Notch1 regulates formation of tip cells during angiogenesis. Nature. 2007;445(7129):776\u201380. https:\/\/doi.org\/10.1038\/nature05571.","journal-title":"Nature"},{"issue":"5322","key":"912_CR39","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1126\/science.277.5322.55","volume":"277","author":"PC Maisonpierre","year":"1997","unstructured":"Maisonpierre PC, Suri C, Jones PF, Bartunkova S, Wiegand SJ, Radziejewski C, et al. Angiopoietin-2, a natural antagonist for Tie2 that disrupts in vivo angiogenesis. Science. 1997;277(5322):55\u201360. https:\/\/doi.org\/10.1126\/science.277.5322.55.","journal-title":"Science"},{"issue":"2","key":"912_CR40","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1006\/mvre.1996.0025","volume":"51","author":"S Patan","year":"1996","unstructured":"Patan S, Munn LL, Jain RK. Intussusceptive microvascular growth in a human colon adenocarcinoma xenograft: a novel mechanism of tumor angiogenesis. Microvasc Res. 1996;51(2):260\u201372. https:\/\/doi.org\/10.1006\/mvre.1996.0025.","journal-title":"Microvasc Res"},{"issue":"11","key":"912_CR41","doi-asserted-by":"publisher","first-page":"1294","DOI":"10.1038\/nm.4197","volume":"22","author":"S Frentzas","year":"2016","unstructured":"Frentzas S, Simoneau E, Bridgeman VL, Vermeulen PB, Foo S, Kostaras E, et al. Vessel co-option mediates resistance to anti-angiogenic therapy in liver metastases. Nat Med. 2016;22(11):1294\u2013302. https:\/\/doi.org\/10.1038\/nm.4197.","journal-title":"Nat Med"},{"issue":"38","key":"912_CR42","doi-asserted-by":"publisher","first-page":"5356","DOI":"10.1038\/sj.onc.1203035","volume":"18","author":"J Holash","year":"1999","unstructured":"Holash J, Wiegand SJ, Yancopoulos GD. New model of tumor angiogenesis: dynamic balance between vessel regression and growth mediated by angiopoietins and VEGF. Oncogene. 1999;18(38):5356\u201362. https:\/\/doi.org\/10.1038\/sj.onc.1203035.","journal-title":"Oncogene"},{"issue":"7325","key":"912_CR43","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1038\/nature09557","volume":"468","author":"L Ricci-Vitiani","year":"2010","unstructured":"Ricci-Vitiani L, Pallini R, Biffoni M, Todaro M, Invernici G, Cenci T, et al. Tumour vascularization via endothelial differentiation of glioblastoma stem-like cells. Nature. 2010;468(7325):824\u201328. https:\/\/doi.org\/10.1038\/nature09557.","journal-title":"Nature"},{"issue":"7325","key":"912_CR44","doi-asserted-by":"publisher","first-page":"829","DOI":"10.1038\/nature09624","volume":"468","author":"R Wang","year":"2010","unstructured":"Wang R, Chadalavada K, Wilshire J, Kowalik U, Hovinga KE, Geber A, et al. Glioblastoma stem-like cells give rise to tumour endothelium. Nature. 2010;468(7325):829\u201333. https:\/\/doi.org\/10.1038\/nature09624.","journal-title":"Nature"},{"issue":"12","key":"912_CR45","doi-asserted-by":"publisher","first-page":"1546","DOI":"10.1101\/gad.436307","volume":"21","author":"DJ Nolan","year":"2007","unstructured":"Nolan DJ, Ciarrocchi A, Mellick AS, Jaggi JS, Bambino K, Gupta S, et al. Bone marrow-derived endothelial progenitor cells are a major determinant of nascent tumor neovascularization. Genes Dev. 2007;21(12):1546\u201358. https:\/\/doi.org\/10.1101\/gad.436307.","journal-title":"Genes Dev"},{"key":"912_CR46","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/978-1-59745-241-0_10","volume":"467","author":"ML Ponce","year":"2009","unstructured":"Ponce ML. Tube formation: an in vitro matrigel angiogenesis assay. Methods Mol Biol. 2009;467:183\u201388.","journal-title":"Methods Mol Biol"},{"issue":"5","key":"912_CR47","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1111\/j.0959-9673.2004.00396.x","volume":"85","author":"CA Staton","year":"2004","unstructured":"Staton CA, Stribbling SM, Tazzyman S, Hughes R, Brown NJ, Lewis CE. Current methods for assaying angiogenesis in vitro and in vivo. Int J Exp Path. 2004;85(5):233\u201348. https:\/\/doi.org\/10.1111\/j.0959-9673.2004.00396.x.","journal-title":"Int J Exp Path"},{"issue":"2","key":"912_CR48","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1023\/A:1012218401036","volume":"4","author":"D Donovan","year":"2001","unstructured":"Donovan D, Brown NJ, Bishop ET, Lewis CE. Comparison of three in vitro human \u2018angiogenesis\u2019 assays with capillaries formed in vivo. Angiogenesis. 2001;4(2):113\u201321. https:\/\/doi.org\/10.1023\/A:1012218401036.","journal-title":"Angiogenesis"},{"key":"912_CR49","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/S0076-6879(08)02004-1","volume":"443","author":"MN Nakatsu","year":"2008","unstructured":"Nakatsu MN, Hughes CC. An optimized three-dimensional in vitro model for the analysis of angiogenesis. Methods Enzymol. 2008;443:65\u201382.","journal-title":"Methods Enzymol"},{"key":"912_CR50","doi-asserted-by":"crossref","unstructured":"Bellacen K, Lewis EC. Aortic ring assay. J Vis Exp. 2009;1564.","DOI":"10.3791\/1564"},{"key":"912_CR51","doi-asserted-by":"publisher","first-page":"104304","DOI":"10.1016\/j.mvr.2021.104304","volume":"140","author":"D Ribatti","year":"2022","unstructured":"Ribatti D. Two new applications in the study of angiogenesis the CAM assay: acellular scaffolds and organoids. Microvasc Res. 2022;140:104304. https:\/\/doi.org\/10.1016\/j.mvr.2021.104304.","journal-title":"Microvasc Res"},{"key":"912_CR52","doi-asserted-by":"publisher","first-page":"104026","DOI":"10.1016\/j.mvr.2020.104026","volume":"131","author":"D Ribatti","year":"2020","unstructured":"Ribatti D, Annese T, Tamma R. The use of the chick embryo CAM assay in the study of angiogenic activiy of biomaterials. Microvasc Res. 2020;131:104026. https:\/\/doi.org\/10.1016\/j.mvr.2020.104026.","journal-title":"Microvasc Res"},{"issue":"1","key":"912_CR53","doi-asserted-by":"publisher","first-page":"7150","DOI":"10.1038\/s41598-025-91826-y","volume":"15","author":"WJ Kowalski","year":"2025","unstructured":"Kowalski WJ, Vatti S, Sakamoto T, Li W, Odutola SR, Liu C, et al. In vivo transplantation of mammalian vascular organoids onto the chick chorioallantoic membrane reveals the formation of a hierarchical vascular network. Sci Rep. 2025;15(1):7150. https:\/\/doi.org\/10.1038\/s41598-025-91826-y.","journal-title":"Sci Rep"},{"issue":"44","key":"912_CR54","doi-asserted-by":"publisher","first-page":"17406","DOI":"10.1073\/pnas.0703446104","volume":"104","author":"K Stoletov","year":"2007","unstructured":"Stoletov K, Montel V, Lester RD, Gonias SL, Klemke R. High-resolution imaging of the dynamic tumor cell\u2013vascular interface in transparent zebrafish. Proc Natl Acad Sci USA. 2007;104(44):17406\u201311. https:\/\/doi.org\/10.1073\/pnas.0703446104.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"1","key":"912_CR55","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1186\/s13046-017-0631-0","volume":"36","author":"JQ Wu","year":"2017","unstructured":"Wu JQ, Zhai J, Li CY, Tan AM, Wei P, Shen LZ, et al. Patient-derived xenograft in zebrafish embryos: a new platform for translational research in gastric cancer. J Exp Clin Cancer Res. 2017;36(1):160. https:\/\/doi.org\/10.1186\/s13046-017-0631-0.","journal-title":"J Exp Clin Cancer Res"},{"issue":"9","key":"912_CR56","doi-asserted-by":"publisher","first-page":"107734","DOI":"10.1016\/j.isci.2023.107734","volume":"26","author":"J Zhong","year":"2023","unstructured":"Zhong J, Xiao C, Chen Q, Pan X, Xu T, Wang Y, et al. Zebrafish functional xenograft vasculature platform identifies PF-502 as a durable vasculature normalization drug. iScience. 2023;26(9):107734. https:\/\/doi.org\/10.1016\/j.isci.2023.107734.","journal-title":"iScience"},{"issue":"4","key":"912_CR57","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.1021\/acsptsci.0c00129","volume":"4","author":"RA Umans","year":"2021","unstructured":"Umans RA, Ten Kate M, Pollock C, Sontheimer H. Fishing for contact: modeling perivascular glioma invasion in the zebrafish brain. ACS Pharmacol Transl Sci. 2021;4(4):1295\u2013305. https:\/\/doi.org\/10.1021\/acsptsci.0c00129.","journal-title":"ACS Pharmacol Transl Sci"},{"issue":"1","key":"912_CR58","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5487\/TR.2014.30.1.001","volume":"30","author":"J Jung","year":"2014","unstructured":"Jung J. Human tumor xenograft models for preclinical assessment of anticancer drug development. Toxicol Res. 2014;30(1):1\u20135. https:\/\/doi.org\/10.5487\/TR.2014.30.1.001.","journal-title":"Toxicol Res"},{"issue":"1","key":"912_CR59","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1038\/s41392-023-01419-2","volume":"8","author":"Y Liu","year":"2023","unstructured":"Liu Y, Wu W, Cai C, Zhang H, Shen H, Han Y. Patient-derived xenograft models in cancer therapy: technologies and applications. Sig Transduct Target Ther. 2023;8(1):160. https:\/\/doi.org\/10.1038\/s41392-023-01419-2.","journal-title":"Sig Transduct Target Ther"},{"issue":"1","key":"912_CR60","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1158\/2326-6066.CIR-16-0114","volume":"5","author":"SIS Mosely","year":"2017","unstructured":"Mosely SIS, Prime JE, Sainson RCA, Koopmann JO, Wang DYQ, Greenawalt DM, et al. Rational selection of syngeneic preclinical tumor models for immunotherapeutic drug discovery. Cancer Immunol Res. 2017;5(1):29\u201341. https:\/\/doi.org\/10.1158\/2326-6066.CIR-16-0114.","journal-title":"Cancer Immunol Res"},{"issue":"23","key":"912_CR61","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1172\/jci.insight.150735","volume":"6","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Huang H, Coleman M, Ziemys A, Gopal P, Kazmi SM, et al. VEGFR2 activity on myeloid cells mediates immune suppression in the tumor microenvironment. JCI Insight. 2021;6(23):6. https:\/\/doi.org\/10.1172\/jci.insight.150735.","journal-title":"JCI Insight"},{"issue":"4","key":"912_CR62","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1158\/2326-6066.CIR-24-1046","volume":"13","author":"N Lonberg","year":"2025","unstructured":"Lonberg N. The problem with syngeneic mouse tumor models. Cancer Immunol Res. 2025;13(4):456\u201362. https:\/\/doi.org\/10.1158\/2326-6066.CIR-24-1046.","journal-title":"Cancer Immunol Res"},{"issue":"11","key":"912_CR63","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1158\/2159-8290.CD-18-0044","volume":"8","author":"B Olson","year":"2018","unstructured":"Olson B, Li Y, Lin Y, Liu ET, Patnaik A. Mouse models for Cancer immunotherapy research. Cancer DiscovCancer Discov. 2018;8(11):1358\u201365. https:\/\/doi.org\/10.1158\/2159-8290.CD-18-0044.","journal-title":"Cancer DiscovCancer Discov"},{"issue":"23","key":"912_CR64","doi-asserted-by":"publisher","first-page":"11238","DOI":"10.1158\/0008-5472.CAN-06-1278","volume":"66","author":"EY Lin","year":"2006","unstructured":"Lin EY, Li JF, Gnatovskiy L, Deng Y, Zhu L, Grzesik DA, et al. Macrophages regulate the angiogenic switch in a mouse model of breast cancer. Cancer Res. 2006;66(23):11238\u201346. https:\/\/doi.org\/10.1158\/0008-5472.CAN-06-1278.","journal-title":"Cancer Res"},{"issue":"7","key":"912_CR65","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1038\/s41590-019-0416-z","volume":"20","author":"TM Allen","year":"2019","unstructured":"Allen TM, Brehm MA, Bridges S, Ferguson S, Kumar P, Mirochnitchenko O, et al. Humanized immune system mouse models: progress, challenges and opportunities. Nat Immunol. 2019;20(7):770\u201374. https:\/\/doi.org\/10.1038\/s41590-019-0416-z.","journal-title":"Nat Immunol"},{"issue":"11","key":"912_CR66","doi-asserted-by":"publisher","first-page":"1567","DOI":"10.1038\/ng.3967","volume":"49","author":"U Ben-David","year":"2017","unstructured":"Ben-David U, Ha G, Tseng YY, Greenwald NF, Oh C, Shih J, et al. Patient-derived xenografts undergo mouse-specific tumor evolution. Nat Genet. 2017;49(11):1567\u201375. https:\/\/doi.org\/10.1038\/ng.3967.","journal-title":"Nat Genet"},{"issue":"2","key":"912_CR67","doi-asserted-by":"publisher","first-page":"188527","DOI":"10.1016\/j.bbcan.2021.188527","volume":"1875","author":"S Rauth","year":"2021","unstructured":"Rauth S, Karmakar S, Batra SK, Ponnusamy MP. Recent advances in organoid development and applications in disease modeling. Biochim et Biophys Acta (BBA) - Rev Cancer. 2021;1875(2):188527. https:\/\/doi.org\/10.1016\/j.bbcan.2021.188527.","journal-title":"Biochim et Biophys Acta (BBA) - Rev Cancer"},{"key":"912_CR68","doi-asserted-by":"publisher","unstructured":"Zhou R, Brislinger D, Fuchs J, Lyons A, Langthaler S, Hauser CAE, et al. Vascularised organoids: recent advances and applications in cancer research. Clin Transl Med. 2025;15(3):e70258. https:\/\/doi.org\/10.1002\/ctm2.70258.","DOI":"10.1002\/ctm2.70258"},{"key":"912_CR69","doi-asserted-by":"publisher","unstructured":"Ahn H, Min J, Park W, Park S, Lee Y, Lee J, et al. A microelectrode-integrated perfusable vessel-on-a-chip enabling simultaneous measurement of Transendothelial electrical Resistance and vascular permeability. Adv Mater Technol. 2026;11(13):e02113. https:\/\/doi.org\/10.1002\/admt.202502113.","DOI":"10.1002\/admt.202502113"},{"issue":"12","key":"912_CR70","doi-asserted-by":"publisher","first-page":"4351","DOI":"10.1002\/aic.16448","volume":"64","author":"JH Sung","year":"2018","unstructured":"Sung JH, Wang YI, Kim JH, Lee JM, Shuler ML. Application of chemical reaction engineering principles to \u201cbody-on-a-chip\u201d systems. AlChE J. 2018;64(12):4351\u201360. https:\/\/doi.org\/10.1002\/aic.16448.","journal-title":"AlChE J"},{"issue":"4","key":"912_CR71","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1007\/BF02630910","volume":"27","author":"DS Grant","year":"1991","unstructured":"Grant DS, Lelkes PI, Fukuda K, Kleinman HK. Intracellular mechanisms involved in basement membrane induced blood vessel differentiation in vitro. Vitro Cell Dev Biol - Anim. 1991;27(4):327\u201336. https:\/\/doi.org\/10.1007\/BF02630910.","journal-title":"Vitro Cell Dev Biol - Anim"},{"issue":"7","key":"912_CR72","doi-asserted-by":"publisher","first-page":"2474","DOI":"10.1091\/mbc.e02-01-0006","volume":"13","author":"JO Connolly","year":"2002","unstructured":"Connolly JO, Simpson N, Hewlett L, Hall A. Rac regulates endothelial morphogenesis and capillary assembly. Mol Biol Cell. 2002;13(7):2474\u201385. https:\/\/doi.org\/10.1091\/mbc.e02-01-0006.","journal-title":"MBoC"},{"issue":"3","key":"912_CR73","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/0248-4900(91)90298-2","volume":"72","author":"A Bikfalvi","year":"1991","unstructured":"Bikfalvi A, Cramer EM, Tenza D, Tobelem G. Phenotypic modulations of human umbilical vein endothelial cells and human dermal fibroblasts using two angiogenic assays. Biol Cell. 1991;72(3):275\u201378. https:\/\/doi.org\/10.1016\/0248-4900(91)90298-2.","journal-title":"Biol Cell"},{"issue":"2","key":"912_CR74","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1006\/bbrc.1995.2178","volume":"213","author":"AB Zimrin","year":"1995","unstructured":"Zimrin AB, Villeponteau B, Maciag T. Models of in vitro angiogenesis: endothelial cell differentiation on fibrin but not matrigel is transcriptionally dependent. Biochem Bioph Res Co. 1995;213(2):630\u201338. https:\/\/doi.org\/10.1006\/bbrc.1995.2178.","journal-title":"Biochem Bioph Res Co"},{"issue":"1","key":"912_CR75","doi-asserted-by":"publisher","first-page":"6985","DOI":"10.1038\/s41598-017-07622-w","volume":"7","author":"D Racordon","year":"2017","unstructured":"Racordon D, Valdivia A, Mingo G, Erices R, Aravena R, Santoro F, et al. Structural and functional identification of vasculogenic mimicry in vitro. Sci Rep. 2017;7(1):6985. https:\/\/doi.org\/10.1038\/s41598-017-07622-w.","journal-title":"Sci Rep"},{"issue":"4","key":"912_CR76","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1016\/S0002-9440(10)63207-5","volume":"164","author":"C Lugassy","year":"2004","unstructured":"Lugassy C, Kleinman HK, Engbring JA, Welch DR, Harms JF, Rufner R, et al. Pericyte-like location of GFP-tagged melanoma cells: ex vivo and in vivo studies of extravascular migratory metastasis. Am J Pathol. 2004;164(4):1191\u201398. https:\/\/doi.org\/10.1016\/S0002-9440(10)63207-5.","journal-title":"Am J Pathol"},{"key":"912_CR77","doi-asserted-by":"publisher","unstructured":"Baum O, Suter F, Gerber B, Tschanz SA, Buergy R, Blank F, et al. VEGF-A promotes intussusceptive angiogenesis in the developing chicken chorioallantoic membrane. Microcirculation. 2010;17:no-no. https:\/\/doi.org\/10.1111\/j.1549-8719.2010.00043.x.","DOI":"10.1111\/j.1549-8719.2010.00043.x"},{"issue":"4","key":"912_CR78","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1111\/j.1365-2133.2007.08120.x","volume":"157","author":"C Lugassy","year":"2007","unstructured":"Lugassy C, Kleinman HK, Vernon SE, Welch DR, Barnhill RL. C16 laminin peptide increases angiotropic extravascular migration of human melanoma cells in a shell-less chick chorioallantoic membrane assay. Br J Dermatol. 2007;157(4):780\u201382. https:\/\/doi.org\/10.1111\/j.1365-2133.2007.08120.x.","journal-title":"Br J Dermatol"},{"key":"912_CR79","doi-asserted-by":"publisher","unstructured":"Zhang N, Yin R, Zhou P, Liu X, Fan P, Qian L, et al. DLL1 orchestrates CD8 + T cells to induce long-term vascular normalization and tumor regression. Proc Natl Acad Sci USA. 2021;118(22):e2020057118. https:\/\/doi.org\/10.1073\/pnas.2020057118.","DOI":"10.1073\/pnas.2020057118"},{"issue":"1","key":"912_CR80","doi-asserted-by":"publisher","first-page":"2034","DOI":"10.1038\/s41598-024-52268-0","volume":"14","author":"N Bauer","year":"2024","unstructured":"Bauer N, Beckmann D, Reinhardt D, Frost N, Bobe S, Erapaneedi R, et al. Therapy-induced modulation of tumor vasculature and oxygenation in a murine glioblastoma model quantified by deep learning-based feature extraction. Sci Rep. 2024;14(1):2034. https:\/\/doi.org\/10.1038\/s41598-024-52268-0.","journal-title":"Sci Rep"},{"issue":"3","key":"912_CR81","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1021\/acsbiomaterials.1c01099","volume":"8","author":"Z Hu","year":"2022","unstructured":"Hu Z, Cao Y, Galan EA, Hao L, Zhao H, Tang J, et al. Vascularized tumor spheroid-on-a-chip Model verifies synergistic vasoprotective and chemotherapeutic effects. ACS Biomater Sci Eng. 2022;8(3):1215\u201325. https:\/\/doi.org\/10.1021\/acsbiomaterials.1c01099.","journal-title":"ACS Biomater Sci Eng"},{"key":"912_CR82","doi-asserted-by":"publisher","unstructured":"Staples SCR, Yin H, Sutherland FSK, Prescott EK, Tinney D, Hamilton DW, et al. Intussusceptive angiogenesis-on-a-chip: evidence for transluminal vascular bridging by endothelial delamination. Proc Natl Acad Sci USA. 2025;122(16):e2423700122. https:\/\/doi.org\/10.1073\/pnas.2423700122.","DOI":"10.1073\/pnas.2423700122"},{"issue":"1","key":"912_CR83","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s13206-022-00090-z","volume":"17","author":"J Bae","year":"2023","unstructured":"Bae J, Kim M-H, Han S, Park S. Development of tumor-vasculature interaction on chip mimicking vessel co-option of glioblastoma. Biochip J. 2023;17(1):77\u201384. https:\/\/doi.org\/10.1007\/s13206-022-00090-z.","journal-title":"Biochip J"},{"key":"912_CR84","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s44164-023-00064-x","volume":"3","author":"A Villasante","year":"2024","unstructured":"Villasante A, Lopez-Martinez MJ, Quinonero G, Garcia-Lizarribar A, Peng X, Samitier J. Microfluidic model of the alternative vasculature in neuroblastoma. Vitro Model. 2024;3:49\u201363.","journal-title":"Vitro Model"},{"issue":"1","key":"912_CR85","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0014-4827(92)90397-Q","volume":"202","author":"S Vukicevic","year":"1992","unstructured":"Vukicevic S, Kleinman HK, Luyten FP, Roberts AB, Roche NS, Reddi AH. Identification of multiple active growth factors in basement membrane Matrigel suggests caution in interpretation of cellular activity related to extracellular matrix components. Exp Cell Res. 1992;202(1):1\u20138. https:\/\/doi.org\/10.1016\/0014-4827(92)90397-Q.","journal-title":"Exp Cell Res"},{"issue":"5","key":"912_CR86","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1007\/s10616-014-9727-y","volume":"67","author":"NC Talbot","year":"2015","unstructured":"Talbot NC, Caperna TJ. Proteome array identification of bioactive soluble proteins\/peptides in Matrigel: relevance to stem cell responses. Cytotechnology. 2015;67(5):873\u201383. https:\/\/doi.org\/10.1007\/s10616-014-9727-y.","journal-title":"Cytotechnology"},{"key":"912_CR87","doi-asserted-by":"publisher","unstructured":"DeCicco-Skinner KL, Henry GH, Cataisson C, Tabib T, Gwilliam JC, Watson NJ, et al. Endothelial cell tube formation assay for the in vitro study of angiogenesis. J Vis Exp. 2014;(91):e51312. https:\/\/doi.org\/10.3791\/51312-v.","DOI":"10.3791\/51312-v"},{"issue":"7","key":"912_CR88","doi-asserted-by":"publisher","first-page":"0096","DOI":"10.1038\/s41551-017-0096","volume":"1","author":"EH Nguyen","year":"2017","unstructured":"Nguyen EH, Daly WT, Le NNT, Farnoodian M, Belair DG, Schwartz MP, et al. Versatile synthetic alternatives to Matrigel for vascular toxicity screening and stem cell expansion. Nat Biomed Eng. 2017;1(7):0096. https:\/\/doi.org\/10.1038\/s41551-017-0096.","journal-title":"Nat Biomed Eng"},{"issue":"7","key":"912_CR89","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1038\/s41578-020-0199-8","volume":"5","author":"EA Aisenbrey","year":"2020","unstructured":"Aisenbrey EA, Murphy WL. Synthetic alternatives to Matrigel. Nat Rev Mater. 2020;5(7):539\u201351. https:\/\/doi.org\/10.1038\/s41578-020-0199-8.","journal-title":"Nat Rev Mater"},{"issue":"4","key":"912_CR90","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1023\/A:1026546219962","volume":"3","author":"ET Bishop","year":"1999","unstructured":"Bishop ET, Bell GT, Bloor S, Broom IJ, Hendry NFK, Wheatley DN. An in vitro model of angiogenesis: basic features. Angiogenesis. 1999;3(4):335\u201344. https:\/\/doi.org\/10.1023\/A:1026546219962.","journal-title":"Angiogenesis"},{"issue":"6","key":"912_CR91","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1034\/j.1600-0463.2003.1110609.x","volume":"111","author":"T Friis","year":"2003","unstructured":"Friis T, Kjaer Sorensen B, Engel AM, Rygaard J, Houen G. A quantitative ELISA-based co-culture angiogenesis and cell proliferation assay. APMIS. 2003;111(6):658\u201368. https:\/\/doi.org\/10.1034\/j.1600-0463.2003.1110609.x.","journal-title":"APMIS"},{"key":"912_CR92","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/978-1-0716-2059-5_21","volume":"2441","author":"AF Odell","year":"2022","unstructured":"Odell AF, Mannion AJ. In vitro Co-culture of fibroblast and endothelial cells to assess angiogenesis. Methods Mol Biol. 2022;2441:277\u201386.","journal-title":"Methods Mol Biol"},{"issue":"7","key":"912_CR93","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1038\/nmeth.2089","volume":"9","author":"CA Schneider","year":"2012","unstructured":"Schneider CA, Rasband WS, Eliceiri KW. NIH image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9(7):671\u201375. https:\/\/doi.org\/10.1038\/nmeth.2089.","journal-title":"Nat Methods"},{"issue":"7","key":"912_CR94","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1038\/nmeth.2019","volume":"9","author":"J Schindelin","year":"2012","unstructured":"Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9(7):676\u201382. https:\/\/doi.org\/10.1038\/nmeth.2019.","journal-title":"Nat Methods"},{"issue":"1","key":"912_CR95","doi-asserted-by":"publisher","first-page":"11568","DOI":"10.1038\/s41598-020-67289-8","volume":"10","author":"G Carpentier","year":"2020","unstructured":"Carpentier G, Berndt S, Ferratge S, Rasband W, Cuendet M, Uzan G, et al. Angiogenesis analyzer for ImageJ \u2014 a comparative morphometric analysis of \u201cendothelial tube formation assay\u201d and \u201cfibrin bead assay\u201d. Sci Rep. 2020;10(1):11568. https:\/\/doi.org\/10.1038\/s41598-020-67289-8.","journal-title":"Sci Rep"},{"key":"912_CR96","doi-asserted-by":"publisher","unstructured":"Zudaire E, Gambardella L, Kurcz C, Vermeren S. A computational tool for quantitative analysis of vascular networks. PLoS One. 2011;6(11):e27385. https:\/\/doi.org\/10.1371\/journal.pone.0027385.","DOI":"10.1371\/journal.pone.0027385"},{"key":"912_CR97","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2507.02024","volume-title":"TubuleTracker: a high-fidelity shareware software to quantify angiogenesis architecture and maturity","author":"D Mahmood","year":"2025","unstructured":"Mahmood D, Buczkowski S, Shah S, Anthony A, Desetty R, Bartoli CR. TubuleTracker: a high-fidelity shareware software to quantify angiogenesis architecture and maturity. arXiv [Preprint]. 2025. https:\/\/doi.org\/10.48550\/arXiv.2507.02024."},{"issue":"2","key":"912_CR98","doi-asserted-by":"publisher","first-page":"1102","DOI":"10.3390\/ijms24021102","volume":"24","author":"A Ibragimov","year":"2023","unstructured":"Ibragimov A, Senotrusova S, Markova K, Karpulevich E, Ivanov A, Tyshchuk E, et al. Deep semantic segmentation of angiogenesis images. IJMS. 2023;24(2):1102. https:\/\/doi.org\/10.3390\/ijms24021102.","journal-title":"IJMS"},{"issue":"1","key":"912_CR99","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1186\/s13040-025-00478-1","volume":"18","author":"G Okoro","year":"2025","unstructured":"Okoro G, Wityk P, Nelappana MB, Jackiewicz KA, Kucharczyk VZ, Tigranyan A, et al. A graph-theoretic framework for quantitative analysis of angiogenic networks. Biodata Min. 2025;18(1):69. https:\/\/doi.org\/10.1186\/s13040-025-00478-1.","journal-title":"Biodata Min"},{"issue":"2","key":"912_CR100","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1083\/jcb.111.2.743","volume":"111","author":"M Pepper","year":"1990","unstructured":"Pepper M, Belin D, Montesano R, Orci L, Vassalli J. Transforming growth factor-beta 1 modulates basic fibroblast growth factor-induced proteolytic and angiogenic properties of endothelial cells in vitro. J Cell Biol. 1990;111(2):743\u201355. https:\/\/doi.org\/10.1083\/jcb.111.2.743.","journal-title":"J Cell Biol"},{"issue":"6","key":"912_CR101","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1083\/jcb.132.6.1177","volume":"132","author":"P Koolwijk","year":"1996","unstructured":"Koolwijk P, Van Erck M, De Vree W, Vermeer MA, Weich HA, Hanemaaijer R, et al. Cooperative effect of TNFalpha, bFGF, and VEGF on the formation of tubular structures of human microvascular endothelial cells in a fibrin matrix. Role of urokinase activity. J Cell Biol. 1996;132(6):1177\u201388. https:\/\/doi.org\/10.1083\/jcb.132.6.1177.","journal-title":"J Cell Biol"},{"key":"912_CR102","doi-asserted-by":"publisher","unstructured":"Nakatsu MN, Davis J, Hughes CCW. Optimized fibrin gel bead assay for the study of angiogenesis. J Vis Exp. 2007;(3):186. https:\/\/doi.org\/10.3791\/186-v.","DOI":"10.3791\/186-v"},{"issue":"1","key":"912_CR103","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1038\/s42003-024-07431-8","volume":"8","author":"C Hiepen","year":"2025","unstructured":"Hiepen C, Benamar M, Barrasa-Fano J, Condor M, Ilhan M, Munch J, et al. Endothelial tip-cell position, filopodia formation and biomechanics require BMPR2 expression and signaling. Commun Biol. 2025;8(1):21. https:\/\/doi.org\/10.1038\/s42003-024-07431-8.","journal-title":"Commun Biol"},{"issue":"12","key":"912_CR104","doi-asserted-by":"publisher","first-page":"820","DOI":"10.3390\/gels10120820","volume":"10","author":"C Radermacher","year":"2024","unstructured":"Radermacher C, Rohde A, Kucikas V, Buhl EM, Wein S, Jonigk D, et al. Various hydrogel types as a potential in vitro angiogenesis Model. Gels. 2024;10(12):820. https:\/\/doi.org\/10.3390\/gels10120820.","journal-title":"Gels"},{"key":"912_CR105","doi-asserted-by":"publisher","first-page":"2671","DOI":"10.1038\/s41598-018-20966-1","volume":"8","author":"JR Bezenah","year":"2018","unstructured":"Bezenah JR, Kong YP, Putnam AJ. Evaluating the potential of endothelial cells derived from human induced pluripotent stem cells to form microvascular networks in 3D cultures. Sci Rep. 2018;8:2671.","journal-title":"Sci Rep"},{"key":"912_CR106","doi-asserted-by":"publisher","unstructured":"Francis CR, Kushner EJ. Capturing membrane trafficking events during 3D angiogenic development in vitro. Microcirculation. 2022;29(6\u20137):e12726. https:\/\/doi.org\/10.1111\/micc.12726.","DOI":"10.1111\/micc.12726"},{"key":"912_CR107","doi-asserted-by":"publisher","unstructured":"Carpenter AE, Jones TR, Lamprecht MR, Clarke C, Kang IH, Friman O, et al. CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol. 2006;7(10):R100. https:\/\/doi.org\/10.1186\/gb-2006-7-10-r100.","DOI":"10.1186\/gb-2006-7-10-r100"},{"key":"912_CR108","doi-asserted-by":"publisher","unstructured":"Winters L, Thambi N, Andreev J, Kuhnert F. Evaluation of angiogenesis inhibitors using the HUVEC fibrin bead sprouting assay. Bio Protoc. 2016;6(19):e1947\u2013e. https:\/\/doi.org\/10.21769\/BioProtoc.1947.","DOI":"10.21769\/BioProtoc.1947"},{"issue":"9","key":"912_CR109","doi-asserted-by":"publisher","first-page":"1444","DOI":"10.3390\/life12091444","volume":"12","author":"K Petrova","year":"2022","unstructured":"Petrova K, Backorova M, Demcisakova Z, Petrovova E, Goga M, Vilkova M, et al. Usnic acid isolated from Usnea antarctica (Du Rietz) reduced in vitro angiogenesis in VEGF- and bFGF-stimulated HUVECs and ex ovo in quail chorioallantoic membrane (CAM) assay. Life (Basel). 2022;12(9):1444. https:\/\/doi.org\/10.3390\/life12091444.","journal-title":"Life (Basel)"},{"issue":"1","key":"912_CR110","doi-asserted-by":"publisher","first-page":"7279","DOI":"10.1038\/s41598-023-33090-6","volume":"13","author":"M Beter","year":"2023","unstructured":"Beter M, Abdollahzadeh A, Pulkkinen HH, Huang H, Orsenigo F, Magnusson PU, et al. SproutAngio: an open-source bioimage informatics tool for quantitative analysis of sprouting angiogenesis and lumen space. Sci Rep. 2023;13(1):7279. https:\/\/doi.org\/10.1038\/s41598-023-33090-6.","journal-title":"Sci Rep"},{"issue":"1","key":"912_CR111","doi-asserted-by":"publisher","first-page":"016106","DOI":"10.1063\/5.0180703","volume":"8","author":"KO Rojek","year":"2024","unstructured":"Rojek KO, Wrzos A, Zukowski S, Bogdan M, Lisicki M, Szymczak P, et al. Long-term day-by-day tracking of microvascular networks sprouting in fibrin gels: from detailed morphological analyses to general growth rules. APL Bioeng. 2024;8(1):016106. https:\/\/doi.org\/10.1063\/5.0180703.","journal-title":"APL Bioeng"},{"key":"912_CR112","doi-asserted-by":"publisher","first-page":"104915","DOI":"10.1016\/j.mvr.2026.104915","volume":"165","author":"CR Gonyea","year":"2026","unstructured":"Gonyea CR, Hayward-Piatkovskyi B, Gleghorn JP. BEADS: an interactive semi-automated workflow for 3D fibrin angiogenesis assays enabling co-culture and directionality analysis. Microvasc Res. 2026;165:104915. https:\/\/doi.org\/10.1016\/j.mvr.2026.104915.","journal-title":"Microvasc Res"},{"issue":"17","key":"912_CR113","doi-asserted-by":"publisher","first-page":"4273","DOI":"10.3390\/cancers14174273","volume":"14","author":"L Faihs","year":"2022","unstructured":"Faihs L, Firouz B, Slezak P, Slezak C, Weissensteiner M, Ebner T, et al. A novel artificial intelligence-based approach for quantitative assessment of angiogenesis in the Ex Ovo CAM Model. Cancers (Basel). 2022;14(17):4273. https:\/\/doi.org\/10.3390\/cancers14174273.","journal-title":"Cancers (Basel)"},{"key":"912_CR114","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/BF02624102","volume":"26","author":"RF Nicosia","year":"1990","unstructured":"Nicosia RF, Ottinetti A. Modulation of microvascular growth and morphogenesis by reconstituted basement membrane gel in three-dimensional cultures of rat aorta: a comparative study of angiogenesis in matrigel, collagen, fibrin, and plasma clot. Vitro Cell Dev Biol. 1990;26:119\u201328.","journal-title":"Vitro Cell Dev Biol"},{"key":"912_CR115","doi-asserted-by":"publisher","first-page":"4113","DOI":"10.1111\/j.1582-4934.2009.00891.x","volume":"13","author":"R Nicosia","year":"2009","unstructured":"Nicosia R. The aortic ring model of angiogenesis: a quarter century of search and discovery. J Cell Mol Med. 2009;13:4113\u201336.","journal-title":"J Cell Mol Med"},{"key":"912_CR116","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/978-1-0716-2217-9_17","volume-title":"VEGF signaling: methods and protocols","author":"V Mehta","year":"2022","unstructured":"Mehta V, Mahmoud M. Ex vivo mouse aortic ring angiogenesis assay. In: Fiedler LR, Pellet-Many C, editors. VEGF signaling: methods and protocols. 2nd. New York, NY: Humana; 2022. p. 229\u201338.","edition":"2nd"},{"key":"912_CR117","doi-asserted-by":"crossref","unstructured":"Birsner AE, Benny O, D\u2019Amato RJ. The corneal micropocket assay: a model of angiogenesis in the mouse eye. J Vis Exp. 2014;90:e51375.","DOI":"10.3791\/51375"},{"key":"912_CR118","doi-asserted-by":"crossref","unstructured":"Lung HL, Lung ML. In vivo matrigel plug angiogenesis assay. Bio Protoc. 2012;2:e261\u2013e.","DOI":"10.21769\/BioProtoc.261"},{"key":"912_CR119","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1038\/nprot.2011.435","volume":"7","author":"M Baker","year":"2011","unstructured":"Baker M, Robinson SD, Lechertier T, Barber PR, Tavora B, D\u2019amico G, et al. Use of the mouse aortic ring assay to study angiogenesis. Nat Protoc. 2011;7:89\u2013104.","journal-title":"Nat Protoc"},{"issue":"3","key":"912_CR120","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/s10456-018-9613-x","volume":"21","author":"P Nowak-Sliwinska","year":"2018","unstructured":"Nowak-Sliwinska P, Alitalo K, Allen E, Anisimov A, Aplin AC, Auerbach R, et al. Consensus guidelines for the use and interpretation of angiogenesis assays. Angiogenesis. 2018;21(3):425\u2013532. https:\/\/doi.org\/10.1007\/s10456-018-9613-x.","journal-title":"Angiogenesis"},{"issue":"3","key":"912_CR121","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1007\/s10456-019-09667-z","volume":"22","author":"AC Aplin","year":"2019","unstructured":"Aplin AC, Nicosia RF. The plaque-aortic ring assay: a new method to study human atherosclerosis-induced angiogenesis. Angiogenesis. 2019;22(3):421\u201331. https:\/\/doi.org\/10.1007\/s10456-019-09667-z.","journal-title":"Angiogenesis"},{"key":"912_CR122","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1016\/j.mbplus.2020.100025","volume":"6-7","author":"A Kapoor","year":"2020","unstructured":"Kapoor A, Chen CG, Iozzo RV. A simplified aortic ring assay: a useful ex vivo method to assess biochemical and functional parameters of angiogenesis. Matrix Biol Plus. 2020;6-7:6\u20137. 100025. https:\/\/doi.org\/10.1016\/j.mbplus.2020.100025.","journal-title":"Matrix Biol Plus"},{"issue":"1","key":"912_CR123","doi-asserted-by":"publisher","first-page":"100281","DOI":"10.1016\/j.xpro.2020.100281","volume":"2","author":"G Blot","year":"2021","unstructured":"Blot G, Sartoris TM, Sennlaub F, Guillonneau X. Modifications to the classical rat aortic ring model to allow vascular degeneration studies. Star Protoc. 2021;2(1):100281. https:\/\/doi.org\/10.1016\/j.xpro.2020.100281.","journal-title":"Star Protoc"},{"issue":"1","key":"912_CR124","doi-asserted-by":"publisher","first-page":"291","DOI":"10.3390\/ijms26010291","volume":"26","author":"P Wolint","year":"2024","unstructured":"Wolint P, Hofmann S, von Atzigen J, Boni R, Miescher I, Giovanoli P, et al. Standardization to characterize the complexity of vessel network using the aortic ring Model. Int J Mol Sci. 2024;26(1):291. https:\/\/doi.org\/10.3390\/ijms26010291.","journal-title":"IJMS"},{"key":"912_CR125","first-page":"523","volume":"60","author":"CA Diglio","year":"1989","unstructured":"Diglio CA, Grammas P, Giacomelli F, Wiener J. Angiogenesis in rat aorta ring explant cultures. Lab Invest. 1989;60:523\u201331.","journal-title":"Lab Invest"},{"issue":"1\u20132","key":"912_CR126","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1023\/A:1021509004829","volume":"5","author":"WH Zhu","year":"2002","unstructured":"Zhu WH, Nicosia RF. The thin prep rat aortic ring assay: a modified method for the characterization of angiogenesis in whole mounts. Angiogenesis. 2002;5(1\u20132):81\u201386. https:\/\/doi.org\/10.1023\/A:1021509004829.","journal-title":"Angiogenesis"},{"issue":"1","key":"912_CR127","doi-asserted-by":"publisher","first-page":"4867","DOI":"10.1038\/s41598-022-08516-2","volume":"12","author":"A Dritsoula","year":"2022","unstructured":"Dritsoula A, Dowsett L, Pilotti C, O\u2019connor MN, Moss SE, Greenwood J. Angiopathic activity of LRG1 is induced by the IL-6\/STAT3 pathway. Sci Rep. 2022;12(1):4867. https:\/\/doi.org\/10.1038\/s41598-022-08516-2.","journal-title":"Sci Rep"},{"issue":"2\u20133","key":"912_CR128","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/0021-9150(92)90022-9","volume":"95","author":"RF Nicosia","year":"1992","unstructured":"Nicosia RF, Bonanno E, Villaschi S. Large-vessel endothelium switches to a microvascular phenotype during angiogenesis in collagen gel culture of rat aorta. Atherosclerosis. 1992;95(2\u20133):191\u201399. https:\/\/doi.org\/10.1016\/0021-9150(92)90022-9.","journal-title":"Atherosclerosis"},{"issue":"5","key":"912_CR129","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1038\/labinvest.3700255","volume":"85","author":"WW Kilarski","year":"2005","unstructured":"Kilarski WW, Jura N, Gerwins P. An ex vivo model for functional studies of myofibroblasts. Lab Investigation. 2005;85(5):643\u201354. https:\/\/doi.org\/10.1038\/labinvest.3700255.","journal-title":"Lab Investigation"},{"key":"912_CR130","first-page":"65","volume":"41","author":"V Muthukkaruppan","year":"2000","unstructured":"Muthukkaruppan V, Shinners B, Lewis R, Park S, Baechler B, Auerbach R. The chick embryo aortic arch assay: a new, rapid, quantifiable in vitro method for testing the efficacy of angiogenic and anti-angiogenic factors in a three-dimensional, serum-free organ culture system. Proc Am Assoc Cancer Res. 2000;41:65.","journal-title":"Proc Am Assoc Cancer Res"},{"issue":"10","key":"912_CR131","doi-asserted-by":"publisher","first-page":"1459","DOI":"10.1038\/nprot.2015.097","volume":"10","author":"W Song","year":"2015","unstructured":"Song W, Fhu CW, Ang KH, Liu CH, Johari NAB, Lio D, et al. The fetal mouse metatarsal bone explant as a model of angiogenesis. Nat Protoc. 2015;10(10):1459\u201373. https:\/\/doi.org\/10.1038\/nprot.2015.097.","journal-title":"Nat Protoc"},{"issue":"3","key":"912_CR132","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1111\/j.1365-2613.2008.00633.x","volume":"90","author":"CA Staton","year":"2009","unstructured":"Staton CA, Reed MWR, Brown NJ. A critical analysis of current in vitro and in vivo angiogenesis assays. Int J Exp Path. 2009;90(3):195\u2013221. https:\/\/doi.org\/10.1111\/j.1365-2613.2008.00633.x.","journal-title":"Int J Exp Path"},{"issue":"12","key":"912_CR133","doi-asserted-by":"publisher","first-page":"3477","DOI":"10.1007\/s00432-021-03814-0","volume":"147","author":"SM Bhat","year":"2021","unstructured":"Bhat SM, Badiger VA, Vasishta S, Chakraborty J, Prasad S, Ghosh S, et al. 3D tumor angiogenesis models: recent advances and challenges. J Cancer Res Clin Oncol. 2021;147(12):3477\u201394. https:\/\/doi.org\/10.1007\/s00432-021-03814-0.","journal-title":"J Cancer Res Clin Oncol"},{"issue":"1","key":"912_CR134","doi-asserted-by":"publisher","first-page":"73","DOI":"10.2174\/1389201003379040","volume":"1","author":"D Ribatti","year":"2000","unstructured":"Ribatti D, Vacca A, Roncali L, Dammacco F. The chick embryo chorioallantoic membrane as a model for in vivo research on anti-angiogenesis. CPB. 2000;1(1):73\u201382. https:\/\/doi.org\/10.2174\/1389201003379040.","journal-title":"CPB"},{"key":"912_CR135","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/j.addr.2021.04.022","volume":"174","author":"E Preis","year":"2021","unstructured":"Preis E, Schulze J, Gutberlet B, Pinnapireddy SR, Jedelska J, Bakowsky U. The chorioallantoic membrane as a bio-barrier model for the evaluation of nanoscale drug delivery systems for tumour therapy. Adv Drug Deliv Rev. 2021;174:317\u201336. https:\/\/doi.org\/10.1016\/j.addr.2021.04.022.","journal-title":"Adv Drug Deliv Rev"},{"issue":"2","key":"912_CR136","doi-asserted-by":"publisher","first-page":"112510","DOI":"10.1016\/j.yexcr.2021.112510","volume":"400","author":"D Ribatti","year":"2021","unstructured":"Ribatti D. The CAM assay in the study of the metastatic process. Exp Cell Res. 2021;400(2):112510. https:\/\/doi.org\/10.1016\/j.yexcr.2021.112510.","journal-title":"Exp Cell Res"},{"issue":"1","key":"912_CR137","doi-asserted-by":"publisher","first-page":"32168","DOI":"10.1038\/srep32168","volume":"6","author":"I Moreno-Jimenez","year":"2016","unstructured":"Moreno-Jimenez I, Hulsart-Billstrom G, Lanham SA, Janeczek AA, Kontouli N, Kanczler JM, et al. The chorioallantoic membrane (CAM) assay for the study of human bone regeneration: a refinement animal model for tissue engineering. Sci Rep. 2016;6(1):32168. https:\/\/doi.org\/10.1038\/srep32168.","journal-title":"Sci Rep"},{"key":"912_CR138","doi-asserted-by":"publisher","first-page":"904","DOI":"10.1242\/jcs.112748","volume":"126","author":"K Stoletov","year":"2013","unstructured":"Stoletov K, Strnadel J, Zardouzian E, Momiyama M, Park FD, Kelber JA, et al. Role of connexins in metastatic breast cancer and melanoma brain colonization. J Cell Sci. 2013;126:904\u201313. https:\/\/doi.org\/10.1242\/jcs.112748.","journal-title":"J Cell Sci"},{"issue":"12","key":"912_CR139","doi-asserted-by":"publisher","first-page":"19626","DOI":"10.1021\/acsnano.2c03990","volume":"16","author":"KS Butler","year":"2022","unstructured":"Butler KS, Brinker CJ, Leong HS. Bridging the in vitro to in vivo gap: using the chick embryo Model to accelerate nanoparticle validation and qualification for in vivo studies. ACS Nano. 2022;16(12):19626\u201350. https:\/\/doi.org\/10.1021\/acsnano.2c03990.","journal-title":"ACS Nano"},{"issue":"6","key":"912_CR140","doi-asserted-by":"publisher","first-page":"1119","DOI":"10.1007\/s00418-008-0536-2","volume":"130","author":"EI Deryugina","year":"2008","unstructured":"Deryugina EI, Quigley JP. Chick embryo chorioallantoic membrane model systems to study and visualize human tumor cell metastasis. Histochem Cell Biol. 2008;130(6):1119\u201330. https:\/\/doi.org\/10.1007\/s00418-008-0536-2.","journal-title":"Histochem Cell Biol"},{"key":"912_CR141","doi-asserted-by":"crossref","unstructured":"Herrmann A, Moss D, S\u00e9e V. The chorioallantoic membrane of the chick embryo to assess tumor formation and metastasis. Tumor angiogenesis assays: methods and protocols. New York, NY: Humana Press; 2016. p. 97\u2013105.","DOI":"10.1007\/978-1-4939-3999-2_9"},{"key":"912_CR142","doi-asserted-by":"publisher","first-page":"104806","DOI":"10.1016\/j.mvr.2025.104806","volume":"160","author":"D Ribatti","year":"2025","unstructured":"Ribatti D. Lymphatics in the chick embryo chorioallantoic membrane. Microvasc Res. 2025;160:104806.","journal-title":"Microvasc Res"},{"key":"912_CR143","doi-asserted-by":"publisher","unstructured":"Dhayer M, Jordao A, Dekiouk S, Cleret D, Germain N, Marchetti P. Implementing chicken chorioallantoic membrane (CAM) assays for validating biomaterials in tissue engineering: rationale and methods. J Biomed Mater Res B Appl Biomater. 2024;112(11):e35496. https:\/\/doi.org\/10.1002\/jbm.b.35496.","DOI":"10.1002\/jbm.b.35496"},{"key":"912_CR144","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1038\/s41563-020-00804-4","volume":"20","author":"E Garreta","year":"2021","unstructured":"Garreta E, Kamm RD, Chuva de Sousa Lopes SM, Lancaster MA, Weiss R, Trepat X, et al. Rethinking organoid technology through bioengineering. Nat Mater. 2021;20:145\u201355.","journal-title":"Nat Mater"},{"issue":"1","key":"912_CR145","doi-asserted-by":"publisher","first-page":"15663","DOI":"10.1038\/s41598-019-52204-7","volume":"9","author":"P W\u00f6rsd\u00f6rfer","year":"2019","unstructured":"W\u00f6rsd\u00f6rfer P, Dalda N, Kern A, Kr\u00fcger S, Wagner N, Kwok CK, et al. Generation of complex human organoid models including vascular networks by incorporation of mesodermal progenitor cells. Sci Rep. 2019;9(1):15663. https:\/\/doi.org\/10.1038\/s41598-019-52204-7.","journal-title":"Sci Rep"},{"issue":"8","key":"912_CR146","first-page":"1642","volume":"8","author":"LC DeBord","year":"2018","unstructured":"DeBord LC, Pathak RR, Villaneuva M, Liu H-C, Harrington DA, Yu W, et al. The chick chorioallantoic membrane (CAM) as a versatile patient-derived xenograft (PDX) platform for precision medicine and preclinical research. Am J Cancer Res. 2018;8(8):1642.","journal-title":"Am J Cancer Res"},{"issue":"9","key":"912_CR147","first-page":"3970","volume":"44","author":"AF Chambers","year":"1984","unstructured":"Chambers AF, Ling V. Selection for experimental metastatic ability of heterologous tumor cells in the chick embryo after DNA-mediated transfer. Cancer Res. 1984;44(9):3970\u201375.","journal-title":"Cancer Res"},{"issue":"4","key":"912_CR148","doi-asserted-by":"publisher","first-page":"253","DOI":"10.2220\/biomedres.9.253","volume":"9","author":"K Spanel-Borowski","year":"1988","unstructured":"Spanel-Borowski K, Schnapper U, Heymer B. The chick chorioallantoic membrane assay in the assessment of angiogenic factors. Biomed Res. 1988;9(4):253\u201360. https:\/\/doi.org\/10.2220\/biomedres.9.253.","journal-title":"Biomed Res"},{"key":"912_CR149","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1039\/b205471j","volume":"1","author":"MJ Hammer-Wilson","year":"2002","unstructured":"Hammer-Wilson MJ, Cao D, Kimel S, Berns MW. Photodynamic parameters in the chick chorioallantoic membrane (CAM) bioassay for photosensitizers administered intraperitoneally (IP) into the chick embryo. Photochem Photobiol Sci. 2002;1:721\u201328.","journal-title":"Photochem Photobiol Sci"},{"issue":"2","key":"912_CR150","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1002\/jemt.1161","volume":"55","author":"M Papoutsi","year":"2001","unstructured":"Papoutsi M, Sleeman JP, Wilting J. Interaction of rat tumor cells with blood vessels and lymphatics of the avian chorioallantoic membrane. Microscopy Res Technique. 2001;55(2):100\u201307. https:\/\/doi.org\/10.1002\/jemt.1161.","journal-title":"Microscopy Res Technique"},{"key":"912_CR151","first-page":"461","volume":"32","author":"N Mangir","year":"2018","unstructured":"Mangir N, Raza A, Haycock JW, Chapple C, Macneil S. An improved in vivo methodology to visualise tumour induced changes in vasculature using the chick chorionic allantoic membrane assay. Vivo. 2018;32:461\u201372.","journal-title":"Vivo"},{"issue":"1","key":"912_CR152","doi-asserted-by":"publisher","first-page":"4991","DOI":"10.1038\/s41598-017-04572-1","volume":"7","author":"B Jefferies","year":"2017","unstructured":"Jefferies B, Lenze F, Sathe A, Truong N, Anton M, von Eisenhart-Rothe R, et al. Non-invasive imaging of engineered human tumors in the living chicken embryo. Sci Rep. 2017;7(1):4991. https:\/\/doi.org\/10.1038\/s41598-017-04572-1.","journal-title":"Sci Rep"},{"issue":"10","key":"912_CR153","doi-asserted-by":"publisher","first-page":"2364","DOI":"10.3390\/cancers14102364","volume":"14","author":"P Kunze","year":"2022","unstructured":"Kunze P, Kreiss L, Novosadova V, Roehe AV, Steinmann S, Prochazka J, et al. Multiphoton microscopy reveals DAPK1-dependent extracellular matrix remodeling in a chorioallantoic membrane (CAM) Model. Cancers (Basel). 2022;14(10):2364. https:\/\/doi.org\/10.3390\/cancers14102364.","journal-title":"Cancers (Basel)"},{"key":"912_CR154","doi-asserted-by":"publisher","first-page":"4595","DOI":"10.1364\/BOE.8.004595","volume":"8","author":"S Pi","year":"2017","unstructured":"Pi S, Camino A, Zhang M, Cepurna W, Liu G, Huang D, et al. Angiographic and structural imaging using high axial resolution fiber-based visible-light OCT. Biomed Opt Express. 2017;8:4595\u2013608.","journal-title":"Biomed Opt Express"},{"issue":"2","key":"912_CR155","doi-asserted-by":"publisher","first-page":"463","DOI":"10.3390\/cells10020463","volume":"10","author":"L Chen","year":"2021","unstructured":"Chen L, Wang S, Feng Y, Zhang J, Du Y, Zhang J, et al. Utilisation of Chick embryo chorioallantoic membrane as a Model platform for imaging-navigated biomedical research. Cells. 2021;10(2):463. https:\/\/doi.org\/10.3390\/cells10020463.","journal-title":"Cells"},{"key":"912_CR156","doi-asserted-by":"publisher","first-page":"104072","DOI":"10.1016\/j.mvr.2020.104072","volume":"133","author":"E Pion","year":"2021","unstructured":"Pion E, Asam C, Feder AL, Felthaus O, Heidekrueger PI, Prantl L, et al. Laser speckle contrast analysis (LASCA) technology for the semiquantitative measurement of angiogenesis in in-ovo-tumor-model. Microvasc Res. 2021;133:104072. https:\/\/doi.org\/10.1016\/j.mvr.2020.104072.","journal-title":"Microvasc Res"},{"issue":"15","key":"912_CR157","doi-asserted-by":"publisher","first-page":"2321","DOI":"10.3390\/cells11152321","volume":"11","author":"PM Kuri","year":"2022","unstructured":"Kuri PM, Pion E, Mahl L, Kainz P, Schwarz S, Brochhausen C, et al. Deep learning-based image analysis for the quantification of tumor-induced angiogenesis in the 3D in vivo tumor Model\u2014establishment and addition to laser speckle contrast imaging (LSCI). Cells. 2022;11(15):2321. https:\/\/doi.org\/10.3390\/cells11152321.","journal-title":"Cells"},{"issue":"8","key":"912_CR158","doi-asserted-by":"publisher","first-page":"4605","DOI":"10.1364\/BOE.530366","volume":"15","author":"Z Dong","year":"2024","unstructured":"Dong Z, Mahler S, Readhead C, Chen X, Dickson M, Bronner M, et al. Non-invasive laser speckle contrast imaging (LSCI) of extra-embryonic blood vessels in intact avian eggs at early developmental stages. Biomed Opt Express. 2024;15(8):4605\u201324. https:\/\/doi.org\/10.1364\/BOE.530366.","journal-title":"Biomed Opt Express"},{"key":"912_CR159","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.ydbio.2024.12.005","volume":"519","author":"C Readhead","year":"2025","unstructured":"Readhead C, Mahler S, Dong Z, Sato Y, Yang C, Bronner ME. Automated non-invasive laser speckle imaging of the chick heart rate and extraembryonic blood vessels and their response to nifedipine and amlodipine drugs. Dev Biol. 2025;519:46\u201354. https:\/\/doi.org\/10.1016\/j.ydbio.2024.12.005.","journal-title":"Dev Biol"},{"issue":"10","key":"912_CR160","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1117\/1.JBO.20.10.106007","volume":"20","author":"J Eom","year":"2015","unstructured":"Eom J, Park SJ, Lee BH. Noncontact photoacoustic tomography of in vivo chicken chorioallantoic membrane based on all-fiber heterodyne interferometry. J Biomed Opt. 2015;20(10):1\u20138. https:\/\/doi.org\/10.1117\/1.JBO.20.10.106007.","journal-title":"J Biomed Opt"},{"issue":"11","key":"912_CR161","doi-asserted-by":"publisher","first-page":"2821","DOI":"10.1364\/OSAC.432084","volume":"4","author":"S Khan","year":"2021","unstructured":"Khan S, Pathak P, Vasudevan S, Nayak D. Non-invasive photoacoustic screening of blood vasculature during anti-angiogenesis using CAM assay. OSA Continuum. 2021;4(11):2821\u201336. https:\/\/doi.org\/10.1364\/OSAC.432084.","journal-title":"OSA Continuum"},{"issue":"1","key":"912_CR162","doi-asserted-by":"publisher","first-page":"18585","DOI":"10.1038\/s41598-020-75660-y","volume":"10","author":"J Eckrich","year":"2020","unstructured":"Eckrich J, Kugler P, Buhr CR, Ernst BP, Mendler S, Baumgart J, et al. Monitoring of tumor growth and vascularization with repetitive ultrasonography in the chicken chorioallantoic-membrane-assay. Sci Rep. 2020;10(1):18585. https:\/\/doi.org\/10.1038\/s41598-020-75660-y.","journal-title":"Sci Rep"},{"key":"912_CR163","doi-asserted-by":"publisher","unstructured":"Power EA, Fernandez-Torres J, Zhang L, Yaun R, Lucien F, Daniels DJ. Chorioallantoic membrane (CAM) assay to study treatment effects in diffuse intrinsic pontine glioma. PLoS One. 2022;17(2):e0263822. https:\/\/doi.org\/10.1371\/journal.pone.0263822.","DOI":"10.1371\/journal.pone.0263822"},{"issue":"1","key":"912_CR164","doi-asserted-by":"publisher","first-page":"4907","DOI":"10.1038\/s41598-019-41373-0","volume":"9","author":"C Huang","year":"2019","unstructured":"Huang C, Lowerison MR, Lucien F, Gong P, Wang D, Song P, et al. Noninvasive contrast-free 3D evaluation of tumor angiogenesis with ultrasensitive ultrasound microvessel imaging. Sci Rep. 2019;9(1):4907. https:\/\/doi.org\/10.1038\/s41598-019-41373-0.","journal-title":"Sci Rep"},{"issue":"1","key":"912_CR165","doi-asserted-by":"publisher","first-page":"10063","DOI":"10.1038\/s41598-024-60783-3","volume":"14","author":"J Schueler","year":"2024","unstructured":"Schueler J, Kuenzel J, Thuesing A, Pion E, Behncke RY, Haegerling R, et al. Ultra high frequency ultrasound enables real-time visualization of blood supply from chorioallantoic membrane to human autosomal dominant polycystic kidney tissue. Sci Rep. 2024;14(1):10063. https:\/\/doi.org\/10.1038\/s41598-024-60783-3.","journal-title":"Sci Rep"},{"key":"912_CR166","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.yclnex.2015.08.001","volume":"2","author":"YM Dupertuis","year":"2015","unstructured":"Dupertuis YM, Delie F, Cohen M, Pichard C. In ovo method for evaluating the effect of nutritional therapies on tumor development, growth and vascularization. Clin Nutr Exp. 2015;2:9\u201317. https:\/\/doi.org\/10.1016\/j.yclnex.2015.08.001.","journal-title":"Clin Nutr Exp"},{"issue":"10","key":"912_CR167","doi-asserted-by":"publisher","first-page":"1782","DOI":"10.2967\/jnumed.112.117150","volume":"54","author":"G Warnock","year":"2013","unstructured":"Warnock G, Turtoi A, Blomme A, Bretin F, Bahri MA, Lemaire C, et al. In vivo PET\/CT in a human glioblastoma chicken chorioallantoic membrane model: a new tool for oncology and radiotracer development. J Nucl Med. 2013;54(10):1782\u201388. https:\/\/doi.org\/10.2967\/jnumed.112.117150.","journal-title":"J Nucl Med"},{"issue":"1","key":"912_CR168","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s44303-023-00001-3","volume":"1","author":"LM Smith","year":"2023","unstructured":"Smith LM, Greenwood HE, Tyrrell WE, Edwards RS, de Santis V, Baark F, et al. The chicken chorioallantoic membrane as a low-cost, high-throughput model for cancer imaging. Npj Imag. 2023;1(1):1. https:\/\/doi.org\/10.1038\/s44303-023-00001-3.","journal-title":"Npj Imag"},{"key":"912_CR169","doi-asserted-by":"publisher","first-page":"153601211880958","DOI":"10.1177\/1536012118809585","volume":"17","author":"A Herrmann","year":"2018","unstructured":"Herrmann A, Taylor A, Murray P, Poptani H, See V. Magnetic resonance imaging for characterization of a chick embryo Model of cancer cell metastases. Mol Imag. 2018;17:1536012118809585. https:\/\/doi.org\/10.1177\/1536012118809585.","journal-title":"Mol Imag"},{"issue":"4","key":"912_CR170","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1002\/nbm.3270","volume":"28","author":"Z Zuo","year":"2015","unstructured":"Zuo Z, Syrovets T, Genze F, Abaei A, Ma G, Simmet T, et al. High-resolution MRI analysis of breast cancer xenograft on the chick chorioallantoic membrane. NMR Biomed. 2015;28(4):440\u201347. https:\/\/doi.org\/10.1002\/nbm.3270.","journal-title":"NMR Biomed"},{"issue":"1","key":"912_CR171","doi-asserted-by":"publisher","first-page":"7505","DOI":"10.1038\/s41598-020-64290-z","volume":"10","author":"CF Waschkies","year":"2020","unstructured":"Waschkies CF, Pfiffner FK, Heuberger DM, Schneider MA, Tian Y, Wolint P, et al. Tumor grafts grown on the chicken chorioallantoic membrane are distinctively characterized by MRI under functional gas challenge. Sci Rep. 2020;10(1):7505. https:\/\/doi.org\/10.1038\/s41598-020-64290-z.","journal-title":"Sci Rep"},{"issue":"13","key":"912_CR172","doi-asserted-by":"publisher","first-page":"4526","DOI":"10.7150\/thno.87266","volume":"13","author":"S Deng","year":"2023","unstructured":"Deng S, Li C, Cao J, Cui Z, Du J, Fu Z, et al. Organ-on-a-chip meets artificial intelligence in drug evaluation. Theranostics. 2023;13(13):4526\u201358. https:\/\/doi.org\/10.7150\/thno.87266.","journal-title":"Theranostics"},{"issue":"2","key":"912_CR173","doi-asserted-by":"publisher","first-page":"620","DOI":"10.21873\/invivo.13481","volume":"38","author":"ERG Salvante","year":"2024","unstructured":"Salvante ERG, Popoiu AV, Barb AC, Cosma AA, Fenesan MP, Saxena AK, et al. Artificial intelligence (AI) based analysis of in vivo polymers and collagen scaffolds inducing vascularization. Artif Intel (AI) Based Anal Vivo Polym Collagen Scaffolds Inducing Vascularization. Vivo. 2024;38(2):620\u201329. https:\/\/doi.org\/10.21873\/invivo.13481.","journal-title":"Artif Intel (AI) Based Anal Vivo Polym Collagen Scaffolds Inducing Vascularization. Vivo"},{"issue":"7","key":"912_CR174","doi-asserted-by":"publisher","first-page":"1291","DOI":"10.1016\/j.bbadis.2016.04.009","volume":"1862","author":"S Rezzola","year":"2016","unstructured":"Rezzola S, Paganini G, Semeraro F, Presta M, Tobia C. Zebrafish (danio rerio) embryo as a platform for the identification of novel angiogenesis inhibitors of retinal vascular diseases. Biochim Et Biophys Acta (BBA) - Mol Basis Disease. 2016;1862(7):1291\u201396. https:\/\/doi.org\/10.1016\/j.bbadis.2016.04.009.","journal-title":"Biochim Et Biophys Acta (BBA) - Mol Basis Disease"},{"issue":"2","key":"912_CR175","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1006\/dbio.2002.0711","volume":"248","author":"ND Lawson","year":"2002","unstructured":"Lawson ND, Weinstein BM. In vivo imaging of embryonic vascular development using transgenic zebrafish. Dev Biol. 2002;248(2):307\u201318. https:\/\/doi.org\/10.1006\/dbio.2002.0711.","journal-title":"Dev Biol"},{"issue":"2","key":"912_CR176","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1016\/j.ydbio.2007.01.023","volume":"304","author":"J Choi","year":"2007","unstructured":"Choi J, Dong L, Ahn J, Dao D, Hammerschmidt M, Chen JN. FoxH1 negatively modulates flk1 gene expression and vascular formation in zebrafish. Dev Biol. 2007;304(2):735\u201344. https:\/\/doi.org\/10.1016\/j.ydbio.2007.01.023.","journal-title":"Dev Biol"},{"issue":"23","key":"912_CR177","doi-asserted-by":"publisher","first-page":"11386","DOI":"10.1158\/0008-5472.CAN-07-3126","volume":"67","author":"TC Tran","year":"2007","unstructured":"Tran TC, Sneed B, Haider J, Blavo D, White A, Aiyejorun T, et al. Automated, quantitative screening assay for antiangiogenic compounds using transgenic zebrafish. Cancer Res. 2007;67(23):11386\u201392. https:\/\/doi.org\/10.1158\/0008-5472.CAN-07-3126.","journal-title":"Cancer Res"},{"issue":"1","key":"912_CR178","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/S0145-305X(03)00103-4","volume":"28","author":"SH Lam","year":"2004","unstructured":"Lam SH, Chua HL, Gong Z, Lam TJ, Sin YM. Development and maturation of the immune system in zebrafish, danio rerio: a gene expression profiling, in situ hybridization and immunological study. Dev Comp Immunol. 2004;28(1):9\u201328. https:\/\/doi.org\/10.1016\/S0145-305X(03)00103-4.","journal-title":"Dev Comp Immunol"},{"key":"912_CR179","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.bbrc.2021.03.160","volume":"557","author":"X Qin","year":"2021","unstructured":"Qin X, Chen C, Wang L, Chen X, Liang Y, Jin X, et al. In-vivo 3D imaging of Zebrafish\u2019s intersegmental vessel development by a bi-directional light-sheet illumination microscope. Biochem Bioph Res Co. 2021;557:8\u201313. https:\/\/doi.org\/10.1016\/j.bbrc.2021.03.160.","journal-title":"Biochem Bioph Res Co"},{"key":"912_CR180","doi-asserted-by":"publisher","unstructured":"Watkins SC, Maniar S, Mosher M, Roman BL, Tsang M, St Croix CM. High resolution imaging of vascular function in zebrafish. PLoS One. 2012;7(8):e44018. https:\/\/doi.org\/10.1371\/journal.pone.0044018.","DOI":"10.1371\/journal.pone.0044018"},{"issue":"4","key":"912_CR181","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1364\/BOE.390410","volume":"11","author":"R Haindl","year":"2020","unstructured":"Haindl R, Deloria AJ, Sturtzel C, Sattmann H, Rohringer W, Fischer B, et al. Functional optical coherence tomography and photoacoustic microscopy imaging for zebrafish larvae. Biomed Opt Express. 2020;11(4):2137\u201351. https:\/\/doi.org\/10.1364\/BOE.390410.","journal-title":"Biomed Opt Express"},{"key":"912_CR182","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2019\/8214975","volume":"2019","author":"K Zhang","year":"2019","unstructured":"Zhang K, Zhang H, Zhou H, Crookes D, Li L, Shao Y, et al. Zebrafish embryo vessel segmentation using a novel dual ResUNet Model. Comput Intel Neurosci. 2019;2019:1\u201314. https:\/\/doi.org\/10.1155\/2019\/8214975.","journal-title":"Comput Intel Neurosci"},{"issue":"5","key":"912_CR183","doi-asserted-by":"publisher","first-page":"2896","DOI":"10.1364\/BOE.449714","volume":"13","author":"J Yin","year":"2022","unstructured":"Yin J, Yang G, Qin X, Li H, Wang L. Optimized U-Net model for 3D light-sheet image segmentation of zebrafish trunk vessels. Biomed Opt Express. 2022;13(5):2896\u2013908. https:\/\/doi.org\/10.1364\/BOE.449714.","journal-title":"Biomed Opt Express"},{"issue":"10","key":"912_CR184","doi-asserted-by":"publisher","first-page":"5344","DOI":"10.1364\/BOE.470058","volume":"13","author":"G Yang","year":"2022","unstructured":"Yang G, Wang L, Qin X, Chen X, Liang Y, Jin X, et al. Heterogeneities of zebrafish vasculature development studied by a high throughput light-sheet flow imaging system. Biomed Opt Express. 2022;13(10):5344\u201357. https:\/\/doi.org\/10.1364\/BOE.470058.","journal-title":"Biomed Opt Express"},{"key":"912_CR185","doi-asserted-by":"publisher","unstructured":"Kugler EC, Rampun A, Chico TJA, Armitage PA. Analytical approaches for the segmentation of the zebrafish brain vasculature. Curr Protocol. 2022;2(5):e443. https:\/\/doi.org\/10.1002\/cpz1.443.","DOI":"10.1002\/cpz1.443"},{"issue":"6","key":"912_CR186","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1016\/j.ejca.2003.11.021","volume":"40","author":"MC Bibby","year":"2004","unstructured":"Bibby MC. Orthotopic models of cancer for preclinical drug evaluation: advantages and disadvantages. Eur J Cancer (Oxford, Engl: 1990). 2004;40(6):852\u201357. https:\/\/doi.org\/10.1016\/j.ejca.2003.11.021.","journal-title":"Eur J Cancer (Oxford, Engl: 1990)"},{"issue":"1","key":"912_CR187","doi-asserted-by":"publisher","first-page":"11117","DOI":"10.1038\/s41598-019-47308-z","volume":"9","author":"W Zhang","year":"2019","unstructured":"Zhang W, Fan W, Rachagani S, Zhou Z, Lele SM, Batra SK, et al. Comparative study of subcutaneous and orthotopic mouse models of prostate cancer: vascular perfusion, vasculature density, hypoxic burden and BB2r-targeting efficacy. Sci Rep. 2019;9(1):11117. https:\/\/doi.org\/10.1038\/s41598-019-47308-z.","journal-title":"Sci Rep"},{"issue":"6","key":"912_CR188","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1038\/nrclinonc.2012.61","volume":"9","author":"JJ Tentler","year":"2012","unstructured":"Tentler JJ, Tan AC, Weekes CD, Jimeno A, Leong S, Pitts TM, et al. Patient-derived tumour xenografts as models for oncology drug development. Nat Rev Clin Oncol. 2012;9(6):338\u201350. https:\/\/doi.org\/10.1038\/nrclinonc.2012.61.","journal-title":"Nat Rev Clin Oncol"},{"issue":"1","key":"912_CR189","doi-asserted-by":"publisher","first-page":"4653","DOI":"10.1038\/s41467-024-47547-3","volume":"15","author":"RE Hynds","year":"2024","unstructured":"Hynds RE, Huebner A, Pearce DR, Hill MS, Akarca AU, Moore DA, et al. Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models. Nat Commun. 2024;15(1):4653. https:\/\/doi.org\/10.1038\/s41467-024-47547-3.","journal-title":"Nat Commun"},{"issue":"1","key":"912_CR190","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1186\/1479-5876-11-110","volume":"11","author":"BL Hylander","year":"2013","unstructured":"Hylander BL, Punt N, Tang H, Hillman J, Vaughan M, Bshara W, et al. Origin of the vasculature supporting growth of primary patient tumor xenografts. J Transl Med. 2013;11(1):110. https:\/\/doi.org\/10.1186\/1479-5876-11-110.","journal-title":"J Transl Med"},{"issue":"1","key":"912_CR191","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1186\/s12967-017-1331-4","volume":"15","author":"A Hauge","year":"2017","unstructured":"Hauge A, Wegner CS, Gaustad JV, Simonsen TG, Andersen LMK, Rofstad EK. DCE-MRI of patient-derived xenograft models of uterine cervix carcinoma: associations with parameters of the tumor microenvironment. J Transl Med. 2017;15(1):225. https:\/\/doi.org\/10.1186\/s12967-017-1331-4.","journal-title":"J Transl Med"},{"key":"912_CR192","doi-asserted-by":"publisher","unstructured":"Maeda A, DaCosta RS. Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature. Intravital. 2014;3(1):e27935. https:\/\/doi.org\/10.4161\/intv.27935.","DOI":"10.4161\/intv.27935"},{"issue":"17","key":"912_CR193","first-page":"4564","volume":"54","author":"F Yuan","year":"1994","unstructured":"Yuan F, Salehi HA, Boucher Y, Vasthare US, Tuma RF, Jain RK. Vascular permeability and microcirculation of gliomas and mammary carcinomas transplanted in rat and mouse cranial windows. Cancer Res. 1994;54(17):4564\u201368.","journal-title":"Cancer Res"},{"issue":"10","key":"912_CR194","doi-asserted-by":"publisher","first-page":"3664","DOI":"10.1021\/acs.molpharmaceut.2c00474","volume":"19","author":"Y Ren","year":"2022","unstructured":"Ren Y, Pan F, Kan X, Wang J, Han P, Yan J, et al. Multimodal imaging response after the singular or combination treatments of vascular endothelial growth factor inhibitor and immune checkpoint inhibitor. Mol. Pharm. 2022;19(10):3664\u201372. https:\/\/doi.org\/10.1021\/acs.molpharmaceut.2c00474.","journal-title":"Mol. Pharm"},{"issue":"03","key":"912_CR195","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1160\/TH12-10-0721","volume":"109","author":"J Ehling","year":"2013","unstructured":"Ehling J, Lammers T, Kiessling F. Non-invasive imaging for studying anti-angiogenic therapy effects. Thromb Haemost. 2013;109(03):375\u201390. https:\/\/doi.org\/10.1160\/TH12-10-0721.","journal-title":"Thromb Haemost"},{"issue":"1","key":"912_CR196","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1038\/s41392-023-01366-y","volume":"8","author":"JW Bai","year":"2023","unstructured":"Bai JW, Qiu SQ, Zhang GJ. Molecular and functional imaging in cancer-targeted therapy: current applications and future directions. Sig Transduct Target Ther. 2023;8(1):89. https:\/\/doi.org\/10.1038\/s41392-023-01366-y.","journal-title":"Sig Transduct Target Ther"},{"issue":"1","key":"912_CR197","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1186\/s13058-024-01950-2","volume":"27","author":"T Whitmarsh","year":"2025","unstructured":"Whitmarsh T, Cope W, Carmona-Bozo J, Manavaki R, Sammut SJ, Woitek R, et al. Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation. Breast Cancer Res. 2025;27(1):17. https:\/\/doi.org\/10.1186\/s13058-024-01950-2.","journal-title":"Breast Cancer Res"},{"issue":"1","key":"912_CR198","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1038\/s42003-021-02275-y","volume":"4","author":"S Kostrikov","year":"2021","unstructured":"Kostrikov S, Johnsen KB, Braunstein TH, Gudbergsson JM, Fliedner FP, Obara EAA, et al. Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors. Commun Biol. 2021;4(1):815. https:\/\/doi.org\/10.1038\/s42003-021-02275-y.","journal-title":"Commun Biol"},{"issue":"1","key":"912_CR199","doi-asserted-by":"publisher","first-page":"7383","DOI":"10.1038\/s41467-024-51432-4","volume":"15","author":"MC Schubert","year":"2024","unstructured":"Schubert MC, Soyka SJ, Tamimi A, Maus E, Schroers J, Wissmann N, et al. Deep intravital brain tumor imaging enabled by tailored three-photon microscopy and analysis. Nat Commun. 2024;15(1):7383. https:\/\/doi.org\/10.1038\/s41467-024-51432-4.","journal-title":"Nat Commun"},{"issue":"1","key":"912_CR200","doi-asserted-by":"publisher","first-page":"13995","DOI":"10.1038\/s41598-022-18393-4","volume":"12","author":"A Majumdar","year":"2022","unstructured":"Majumdar A, Allam N, Zabel WJ, Demidov V, Flueraru C, Vitkin IA. Binary dose level classification of tumour microvascular response to radiotherapy using artificial intelligence analysis of optical coherence tomography images. Sci Rep. 2022;12(1):13995. https:\/\/doi.org\/10.1038\/s41598-022-18393-4.","journal-title":"Sci Rep"},{"issue":"1","key":"912_CR201","doi-asserted-by":"publisher","first-page":"10047","DOI":"10.1038\/s41598-021-89469-w","volume":"11","author":"O Mahmoud","year":"2021","unstructured":"Mahmoud O, El-Sakka M, Janssen BGH. Two-step machine learning method for the rapid analysis of microvascular flow in intravital video microscopy. Sci Rep. 2021;11(1):10047. https:\/\/doi.org\/10.1038\/s41598-021-89469-w.","journal-title":"Sci Rep"},{"issue":"3","key":"912_CR202","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1038\/ncb3312","volume":"18","author":"A Fatehullah","year":"2016","unstructured":"Fatehullah A, Tan SH, Barker N. Organoids as an in vitro model of human development and disease. Nat Cell Biol. 2016;18(3):246\u201354. https:\/\/doi.org\/10.1038\/ncb3312.","journal-title":"Nat Cell Biol"},{"issue":"6194","key":"912_CR203","doi-asserted-by":"publisher","first-page":"1247125","DOI":"10.1126\/science.1247125","volume":"345","author":"MA Lancaster","year":"2014","unstructured":"Lancaster MA, Knoblich JA. Organogenesis in a dish: modeling development and disease using organoid technologies. Science. 2014;345(6194):1247125. https:\/\/doi.org\/10.1126\/science.1247125.","journal-title":"Science"},{"issue":"7","key":"912_CR204","doi-asserted-by":"publisher","first-page":"1586","DOI":"10.1016\/j.cell.2016.05.082","volume":"165","author":"H Clevers","year":"2016","unstructured":"Clevers H. Modeling development and disease with organoids. Cell. 2016;165(7):1586\u201397. https:\/\/doi.org\/10.1016\/j.cell.2016.05.082.","journal-title":"Cell"},{"issue":"1","key":"912_CR205","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1038\/s41467-024-45710-4","volume":"15","author":"C Quintard","year":"2024","unstructured":"Quintard C, Tubbs E, Jonsson G, Jiao J, Wang J, Werschler N, et al. A microfluidic platform integrating functional vascularized organoids-on-chip. Nat Commun. 2024;15(1):1452. https:\/\/doi.org\/10.1038\/s41467-024-45710-4.","journal-title":"Nat Commun"},{"key":"912_CR206","doi-asserted-by":"publisher","unstructured":"Sun XY, Ju XC, Li Y, Zeng PM, Wu J, Zhou YY, et al. Generation of vascularized brain organoids to study neurovascular interactions. Elife. 2022;11:e76707. https:\/\/doi.org\/10.7554\/eLife.76707.","DOI":"10.7554\/eLife.76707"},{"issue":"4","key":"912_CR207","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1016\/j.devcel.2020.07.023","volume":"54","author":"EM Holloway","year":"2020","unstructured":"Holloway EM, Wu JH, Czerwinski M, Sweet CW, Wu A, Tsai YH, et al. Differentiation of human intestinal organoids with endogenous vascular endothelial cells. Dev Cell. 2020;54(4):516\u201328.e7. https:\/\/doi.org\/10.1016\/j.devcel.2020.07.023.","journal-title":"Dev Cell"},{"key":"912_CR208","doi-asserted-by":"publisher","unstructured":"Skylar-Scott MA, Uzel SGM, Nam LL, Ahrens JH, Truby RL, Damaraju S, et al. Biomanufacturing of organ-specific tissues with high cellular density and embedded vascular channels. Sci Adv. 2019;5(9):eaaw 2459. https:\/\/doi.org\/10.1126\/sciadv.aaw2459.","DOI":"10.1126\/sciadv.aaw2459"},{"issue":"23","key":"912_CR209","doi-asserted-by":"publisher","first-page":"3687","DOI":"10.1039\/C8LC00596F","volume":"18","author":"VS Shirure","year":"2018","unstructured":"Shirure VS, Bi Y, Curtis MB, Lezia A, Goedegebuure MM, Goedegebuure SP, et al. Tumor-on-a-chip platform to investigate progression and drug sensitivity in cell lines and patient-derived organoids. Lab Chip. 2018;18(23):3687\u2013702. https:\/\/doi.org\/10.1039\/C8LC00596F.","journal-title":"Lab Chip"},{"key":"912_CR210","doi-asserted-by":"publisher","first-page":"1336910","DOI":"10.3389\/fcvm.2024.1336910","volume":"11","author":"PN Nwokoye","year":"2024","unstructured":"Nwokoye PN, Abilez OJ. Blood vessels in a dish: the evolution, challenges, and potential of vascularized tissues and organoids. Front Cardiovasc Med. 2024;11:1336910. https:\/\/doi.org\/10.3389\/fcvm.2024.1336910.","journal-title":"Front Cardiovasc Med"},{"issue":"6","key":"912_CR211","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1039\/D5LC00890E","volume":"26","author":"B Menzani","year":"2026","unstructured":"Menzani B, De Gea P, Gidrol X, Tubbs E. Vascularizing organoids-on-chip for perfused and personalized models. Lab Chip. 2026;26(6):1798\u2013819. https:\/\/doi.org\/10.1039\/D5LC00890E.","journal-title":"Lab Chip"},{"key":"912_CR212","doi-asserted-by":"publisher","unstructured":"Kim H, Cho SW, Kim HN. Vascularized tumor-on-a-chip Model as a platform for studying tumor-microenvironment-drug interaction. Macromol Biosci. 2025;25(10):e00240. https:\/\/doi.org\/10.1002\/mabi.202500240.","DOI":"10.1002\/mabi.202500240"},{"key":"912_CR213","doi-asserted-by":"publisher","unstructured":"Du Y, Wang YR, Bao QY, Xu XX, Xu C, Wang S, et al. Personalized vascularized tumor organoid-on-a-chip for tumor metastasis and therapeutic targeting assessment. Adv Mater. 2025;37(6):e2412815. https:\/\/doi.org\/10.1002\/adma.202412815.","DOI":"10.1002\/adma.202412815"},{"key":"912_CR214","doi-asserted-by":"publisher","unstructured":"Soliman BG, Nguyen AK, Gooding JJ, Kilian KA. Advancing synthetic hydrogels through nature-inspired materials chemistry. Adv Mater. 2024;36(42):e2404235. https:\/\/doi.org\/10.1002\/adma.202404235.","DOI":"10.1002\/adma.202404235"},{"key":"912_CR215","doi-asserted-by":"publisher","unstructured":"Delage E, Guilbert T, Yates F. Successful 3D imaging of cleared biological samples with light sheet fluorescence microscopy. J Cell Biol. 2023;222(11):e202307143. https:\/\/doi.org\/10.1083\/jcb.202307143.","DOI":"10.1083\/jcb.202307143"},{"issue":"1","key":"912_CR216","doi-asserted-by":"publisher","first-page":"26118","DOI":"10.1038\/s41598-025-12015-5","volume":"15","author":"J Tan","year":"2025","unstructured":"Tan J, Li Y, Wang M, Huang H, Li J, Ai Y, et al. Nylon mesh chip promotes three-dimensional visualization of intestinal organoids. Sci Rep. 2025;15(1):26118. https:\/\/doi.org\/10.1038\/s41598-025-12015-5.","journal-title":"Sci Rep"},{"key":"912_CR217","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1177\/2211068214561025","volume":"20","author":"B Srinivasan","year":"2015","unstructured":"Srinivasan B, Kolli AR, Esch MB, Abaci HE, Shuler ML, Hickman JJ. TEER measurement techniques for in vitro barrier model systems. J Lab Autom. 2015;20:107\u201326.","journal-title":"J Lab Autom"},{"issue":"1","key":"912_CR218","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1186\/s12859-025-06270-6","volume":"26","author":"M Schuttler","year":"2025","unstructured":"Schuttler M, Dogan L, Kirchner J, Ergun S, Worsdorfer P, Fischer SC. VESNA: an open-source tool for automated 3D vessel segmentation and network analysis. BMC Bioinf. 2025;26(1):254. https:\/\/doi.org\/10.1186\/s12859-025-06270-6.","journal-title":"BMC Bioinf"},{"issue":"1","key":"912_CR219","doi-asserted-by":"publisher","first-page":"12737","DOI":"10.1038\/s41598-017-13070-3","volume":"7","author":"E Biselli","year":"2017","unstructured":"Biselli E, Agliari E, Barra A, Bertani FR, Gerardino A, De Ninno A, et al. Organs on chip approach: a tool to evaluate cancer -immune cells interactions. Sci Rep. 2017;7(1):12737. https:\/\/doi.org\/10.1038\/s41598-017-13070-3.","journal-title":"Sci Rep"},{"issue":"1","key":"912_CR220","doi-asserted-by":"publisher","first-page":"6789","DOI":"10.1038\/s41598-019-42475-5","volume":"9","author":"MC Comes","year":"2019","unstructured":"Comes MC, Casti P, Mencattini A, Di Giuseppe D, Mermet-Meillon F, De Ninno A, et al. The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applications. Sci Rep. 2019;9(1):6789. https:\/\/doi.org\/10.1038\/s41598-019-42475-5.","journal-title":"Sci Rep"},{"issue":"13","key":"912_CR221","doi-asserted-by":"publisher","first-page":"3884","DOI":"10.1016\/j.celrep.2018.12.015","volume":"25","author":"M Nguyen","year":"2018","unstructured":"Nguyen M, De Ninno A, Mencattini A, Mermet-Meillon F, Fornabaio G, Evans SS, et al. Dissecting effects of Anti-cancer drugs and Cancer-associated Fibroblasts by on-chip reconstitution of immunocompetent tumor microenvironments. Cell Rep. 2018;25(13):3884\u201393.e3. https:\/\/doi.org\/10.1016\/j.celrep.2018.12.015.","journal-title":"Cell Rep"},{"issue":"1","key":"912_CR222","doi-asserted-by":"publisher","first-page":"7653","DOI":"10.1038\/s41598-020-64246-3","volume":"10","author":"A Mencattini","year":"2020","unstructured":"Mencattini A, Di Giuseppe D, Comes MC, Casti P, Corsi F, Bertani FR, et al. Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments. Sci Rep. 2020;10(1):7653. https:\/\/doi.org\/10.1038\/s41598-020-64246-3.","journal-title":"Sci Rep"},{"key":"912_CR223","doi-asserted-by":"publisher","unstructured":"Paek K, Kim S, Tak S, Kim MK, Park J, Chung S, et al. A high-throughput biomimetic bone-on-a-chip platform with artificial intelligence-assisted image analysis for osteoporosis drug testing. Bioeng & Transla Med. 2023;8(1):e10313. https:\/\/doi.org\/10.1002\/btm2.10313.","DOI":"10.1002\/btm2.10313"},{"issue":"3","key":"912_CR224","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1039\/D2LC00983H","volume":"23","author":"DH Choi","year":"2023","unstructured":"Choi DH, Liu HW, Jung YH, Ahn J, Kim JA, Oh D, et al. Analyzing angiogenesis on a chip using deep learning-based image processing. Lab Chip. 2023;23(3):475\u201384. https:\/\/doi.org\/10.1039\/D2LC00983H.","journal-title":"Lab Chip"},{"key":"912_CR225","doi-asserted-by":"publisher","first-page":"108953","DOI":"10.1016\/j.cmpb.2025.108953","volume":"271","author":"L Xu","year":"2025","unstructured":"Xu L, Song P, Zhu S, Zhang Y, Zhang R, Zheng Z, et al. Label-free prediction of vascular connectivity in perfused microvascular networks in vitro. Comput Methods Programs Biomed. 2025;271:108953. https:\/\/doi.org\/10.1016\/j.cmpb.2025.108953.","journal-title":"Comput Methods Programs Biomed"},{"issue":"4","key":"912_CR226","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1016\/j.cmet.2025.01.002","volume":"37","author":"NTB Nguyen","year":"2025","unstructured":"Nguyen NTB, Gevers S, Kok RNU, Burgering LM, Neikes H, Akkerman N, et al. Lactate controls cancer stemness and plasticity through epigenetic regulation. Cell MetabCell Metab. 2025;37(4):903\u201319.e10. https:\/\/doi.org\/10.1016\/j.cmet.2025.01.002.","journal-title":"Cell MetabCell Metab"},{"key":"912_CR227","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.biotno.2024.01.001","volume":"5","author":"SK Srivastava","year":"2024","unstructured":"Srivastava SK, Foo GW, Aggarwal N, Chang MW. Organ-on-chip technology: opportunities and challenges. Biotechnol Notes. 2024;5:8\u201312. https:\/\/doi.org\/10.1016\/j.biotno.2024.01.001.","journal-title":"Biotechnol Notes"},{"key":"912_CR228","doi-asserted-by":"publisher","first-page":"1376964","DOI":"10.3389\/frlct.2024.1376964","volume":"3","author":"J Meneses","year":"2024","unstructured":"Meneses J, Concei\u00e7\u00e3o F, Van Der Meer A, de Wit S, Moreira Teixeira L. Guiding organs-on-chips towards applications: a balancing act between integration of advanced technologies and standardization. Front Lab Chip Technol. 2024;3:1376964. https:\/\/doi.org\/10.3389\/frlct.2024.1376964.","journal-title":"Front Lab Chip Technol"},{"key":"912_CR229","doi-asserted-by":"publisher","first-page":"9869518","DOI":"10.34133\/2022\/9869518","volume":"2022","author":"J Li","year":"2022","unstructured":"Li J, Chen J, Bai H, Wang H, Hao S, Ding Y, et al. An overview of organs-on-chips based on deep learning. Res (Wash D C). 2022;2022:9869518. https:\/\/doi.org\/10.34133\/2022\/9869518.","journal-title":"Res (Wash D C)"},{"issue":"6","key":"912_CR230","doi-asserted-by":"publisher","first-page":"5777","DOI":"10.3390\/cimb46060345","volume":"46","author":"CD Gutierrez Reyes","year":"2024","unstructured":"Gutierrez Reyes CD, Alejo-Jacuinde G, Perez Sanchez B, Chavez Reyes J, Onigbinde S, Mogut D, et al. Multi omics applications in biological systems. CIMB. 2024;46(6):5777\u201393. https:\/\/doi.org\/10.3390\/cimb46060345.","journal-title":"CIMB"},{"key":"912_CR231","doi-asserted-by":"publisher","first-page":"1413273","DOI":"10.3389\/fonc.2024.1413273","volume":"14","author":"HT Wei","year":"2024","unstructured":"Wei HT, Xie LY, Liu YG, Deng Y, Chen F, Lv F, et al. Elucidating the role of angiogenesis-related genes in colorectal cancer: a multi-omics analysis. Front Oncol. 2024;14:1413273. https:\/\/doi.org\/10.3389\/fonc.2024.1413273.","journal-title":"Front Oncol"},{"issue":"1","key":"912_CR232","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1186\/s12943-024-02040-9","volume":"23","author":"Y Jin","year":"2024","unstructured":"Jin Y, Zuo Y, Li G, Liu W, Pan Y, Fan T, et al. Advances in spatial transcriptomics and its applications in cancer research. Mol Cancer. 2024;23(1):129. https:\/\/doi.org\/10.1186\/s12943-024-02040-9.","journal-title":"Mol Cancer"},{"issue":"1","key":"912_CR233","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1038\/s41698-025-00896-8","volume":"9","author":"H Tang","year":"2025","unstructured":"Tang H, Cai Y, Yang M, Tang S, Huang Q, Li H, et al. Single-cell and spatial transcriptomics reveals the key role of MCAM+ tip-like endothelial cells in osteosarcoma metastasis. NPJ Precis Onc. 2025;9(1):104. https:\/\/doi.org\/10.1038\/s41698-025-00896-8.","journal-title":"Npj Precis Onc"},{"key":"912_CR234","doi-asserted-by":"publisher","first-page":"933474","DOI":"10.3389\/fcell.2022.933474","volume":"10","author":"J Flournoy","year":"2022","unstructured":"Flournoy J, Ashkanani S, Chen Y. Mechanical regulation of signal transduction in angiogenesis. Front Cell Dev Biol. 2022;10:933474. https:\/\/doi.org\/10.3389\/fcell.2022.933474.","journal-title":"Front Cell Dev Biol"},{"issue":"2","key":"912_CR235","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1161\/CIRCRESAHA.120.316851","volume":"127","author":"G Eelen","year":"2020","unstructured":"Eelen G, Treps L, Li X, Carmeliet P. Basic and therapeutic aspects of angiogenesis updated. Circ Res. 2020;127(2):310\u201329. https:\/\/doi.org\/10.1161\/CIRCRESAHA.120.316851.","journal-title":"Circ Res"},{"issue":"6","key":"912_CR236","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1038\/s41571-024-00886-y","volume":"21","author":"HY Kuo","year":"2024","unstructured":"Kuo HY, Khan KA, Kerbel RS. Antiangiogenic\u2013immune-checkpoint inhibitor combinations: lessons from phase III clinical trials. Nat Rev Clin Oncol. 2024;21(6):468\u201382. https:\/\/doi.org\/10.1038\/s41571-024-00886-y.","journal-title":"Nat Rev Clin Oncol"},{"key":"912_CR237","doi-asserted-by":"publisher","unstructured":"Li J, Wang D, Tang F, Ling X, Zhang W, Zhang Z. Pan-cancer integrative analyses dissect the remodeling of endothelial cells in human cancers. Natl Sci Rev. 2024;11(9):nwae231. https:\/\/doi.org\/10.1093\/nsr\/nwae231.","DOI":"10.1093\/nsr\/nwae231"},{"issue":"8024","key":"912_CR238","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1038\/s41586-024-07698-1","volume":"632","author":"X Pan","year":"2024","unstructured":"Pan X, Li X, Dong L, Liu T, Zhang M, Zhang L, et al. Tumour vasculature at single-cell resolution. Nature. 2024;632(8024):429\u201336. https:\/\/doi.org\/10.1038\/s41586-024-07698-1.","journal-title":"Nature"},{"issue":"1","key":"912_CR239","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s44466-026-00043-3","volume":"2","author":"L Zhu","year":"2026","unstructured":"Zhu L, Jiang N, Zhang Z. The cellular actors of the tumor microenvironment: a single-cell atlas perspective on specialized subtypes, coordinated networks, and immunotherapy. Immun Inflamm. 2026;2(1):27. https:\/\/doi.org\/10.1007\/s44466-026-00043-3.","journal-title":"Immun Inflamm"},{"issue":"2","key":"912_CR240","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.cell.2018.03.017","volume":"173","author":"SH Lee","year":"2018","unstructured":"Lee SH, Hu W, Matulay JT, Silva MV, Owczarek TB, Kim K, et al. Tumor evolution and drug response in patient-derived organoid models of bladder cancer. Cell. 2018;173(2):515\u201328.e17. https:\/\/doi.org\/10.1016\/j.cell.2018.03.017.","journal-title":"Cell"},{"issue":"8","key":"912_CR241","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1038\/s41568-024-00706-6","volume":"24","author":"R Polak","year":"2024","unstructured":"Polak R, Zhang ET, Kuo CJ. Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment. Nat Rev Cancer. 2024;24(8):523\u201339. https:\/\/doi.org\/10.1038\/s41568-024-00706-6.","journal-title":"Nat Rev Cancer"},{"issue":"9","key":"912_CR242","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1016\/j.trecan.2018.07.003","volume":"4","author":"A Buque","year":"2018","unstructured":"Buque A, Galluzzi L. Modeling tumor immunology and immunotherapy in mice. Trends Cancer. 2018;4(9):599\u2013601. https:\/\/doi.org\/10.1016\/j.trecan.2018.07.003.","journal-title":"Trends Cancer"},{"key":"912_CR243","doi-asserted-by":"publisher","unstructured":"Marti\u0107-Kehl MI, Wernery J, Folkers G, Schubiger PA. Quality of animal experiments in Anti-angiogenic cancer Drug development \u2013 a systematic review. PLoS One. 2015;10(9):e0137235. https:\/\/doi.org\/10.1371\/journal.pone.0137235.","DOI":"10.1371\/journal.pone.0137235"},{"issue":"14","key":"912_CR244","doi-asserted-by":"publisher","first-page":"3489","DOI":"10.1158\/1078-0432.CCR-16-3083","volume":"23","author":"DR Liston","year":"2017","unstructured":"Liston DR, Davis M. Clinically relevant concentrations of anticancer drugs: a Guide for nonclinical studies. Clin Cancer Res. 2017;23(14):3489\u201398. https:\/\/doi.org\/10.1158\/1078-0432.CCR-16-3083.","journal-title":"Clin Cancer Res"},{"issue":"19","key":"912_CR245","doi-asserted-by":"publisher","first-page":"1556","DOI":"10.3390\/cells14191556","volume":"14","author":"F Tavassol","year":"2025","unstructured":"Tavassol F, Winterboer J, Jehn P, Kappler M, Tilsen F, Kampmann A. Improved murine Model for the intravital microscopic examination of manifest tumors. Cells. 2025;14(19):1556. https:\/\/doi.org\/10.3390\/cells14191556.","journal-title":"Cells"}],"container-title":["Pharmacological Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s43440-026-00912-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s43440-026-00912-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s43440-026-00912-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T17:26:17Z","timestamp":1791825977000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s43440-026-00912-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,12]]},"references-count":245,"alternative-id":["912"],"URL":"https:\/\/doi.org\/10.1007\/s43440-026-00912-z","relation":{},"ISSN":["1734-1140","2299-5684"],"issn-type":[{"value":"1734-1140","type":"print"},{"value":"2299-5684","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,12]]},"assertion":[{"value":"5 June 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 September 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 October 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Author LV used ChatGPT to improve the grammatical structure and language refinement. Generative AI was not used to generate the scientific content of this manuscript. The selection and interpretation of the literature, scientific arguments, and conclusions were developed and verified by the authors, who take full responsibility for the final manuscript.","order":1,"name":"Ethics","label":"Disclosure of using artificial intelligence (AI) in the writing process","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}]}}