{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T19:05:02Z","timestamp":1771527902821,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["81172186"],"award-info":[{"award-number":["81172186"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"crossref","award":["2018CFB504"],"award-info":[{"award-number":["2018CFB504"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Guidance Foundation of Renmin Hospital of Wuhan University","award":["RMYD2018M67"],"award-info":[{"award-number":["RMYD2018M67"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Gastroenterol"],"DOI":"10.1186\/s12876-025-03845-8","type":"journal-article","created":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T15:57:37Z","timestamp":1744732657000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Development and verification of a radiomics model to forecast Ki67 index and prognosis in advanced gastric tubular adenocarcinoma"],"prefix":"10.1186","volume":"25","author":[{"given":"Jiatong","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiushuang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangfang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junfeng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Tong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,15]]},"reference":[{"issue":"22","key":"3845_CR1","doi-asserted-by":"publisher","first-page":"e38376","DOI":"10.1097\/MD.0000000000038376","volume":"103","author":"C Liu","year":"2024","unstructured":"Liu C, Lu J, An L. Development and validation of nomograms for predicting the prognosis of early and late recurrence of advanced gastric cancer after radical surgery based on post-recurrence survival. Medicine. 2024;103(22):e38376.","journal-title":"Medicine"},{"issue":"42","key":"3845_CR2","doi-asserted-by":"publisher","first-page":"e35585","DOI":"10.1097\/MD.0000000000035585","volume":"102","author":"C Liu","year":"2023","unstructured":"Liu C, Tao F, Lu J, Park S, An L. Defining nomograms for predicting prognosis of early and late recurrence in gastric cancer patients after radical gastrectomy. Medicine. 2023;102(42):e35585.","journal-title":"Medicine"},{"issue":"2","key":"3845_CR3","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s00412-018-0659-8","volume":"127","author":"X Sun","year":"2018","unstructured":"Sun X, Kaufman PD. Ki-67: more than a proliferation marker. Chromosoma. 2018;127(2):175\u201386.","journal-title":"Chromosoma"},{"key":"3845_CR4","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.cca.2019.01.011","volume":"491","author":"SS Menon","year":"2019","unstructured":"Menon SS, Guruvayoorappan C, Sakthivel KM, Rasmi RR. Ki-67 protein as a tumour proliferation marker. Clin Chim Acta. 2019;491:39\u201345.","journal-title":"Clin Chim Acta"},{"issue":"22","key":"3845_CR5","doi-asserted-by":"publisher","first-page":"5339","DOI":"10.7150\/jca.30074","volume":"10","author":"DD Xiong","year":"2019","unstructured":"Xiong DD, Zeng CM, Jiang L, Luo DZ, Chen G. Ki-67\/MKI67 as a predictive biomarker for clinical outcome in gastric cancer patients: an updated Meta-analysis and systematic review involving 53 studies and 7078 patients. J Cancer. 2019;10(22):5339\u201354.","journal-title":"J Cancer"},{"key":"3845_CR6","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1186\/1471-2407-11-486","volume":"11","author":"PA Fasching","year":"2011","unstructured":"Fasching PA, Heusinger K, Haeberle L, Niklos M, Hein A, Bayer CM, et al. Ki67, chemotherapy response, and prognosis in breast cancer patients receiving neoadjuvant treatment. BMC Cancer. 2011;11:486.","journal-title":"BMC Cancer"},{"issue":"1","key":"3845_CR7","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1186\/s13104-019-4653-x","volume":"12","author":"AA Hashmi","year":"2019","unstructured":"Hashmi AA, Hashmi KA, Irfan M, Khan SM, Edhi MM, Ali JP, et al. Ki67 index in intrinsic breast cancer subtypes and its association with prognostic parameters. BMC Res Notes. 2019;12(1):605.","journal-title":"BMC Res Notes"},{"issue":"1","key":"3845_CR8","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1186\/s12885-022-09557-6","volume":"22","author":"J Brown","year":"2022","unstructured":"Brown J, Scardo S, Method M, Schlauch D, Misch A, Picard S, et al. A real-world retrospective study of the use of Ki-67 testing and treatment patterns in patients with HR+, HER2- early breast cancer in the united States. BMC Cancer. 2022;22(1):502.","journal-title":"BMC Cancer"},{"issue":"1","key":"3845_CR9","doi-asserted-by":"publisher","first-page":"3617","DOI":"10.1038\/s41598-022-07593-7","volume":"12","author":"Z Selmani","year":"2022","unstructured":"Selmani Z, Molimard C, Overs A, Bazan F, Chaigneau L, Dobi E, et al. Low correlation between Ki67 assessed by qRT-PCR in oncotype Dx score and Ki67 assessed by immunohistochemistry. Sci Rep. 2022;12(1):3617.","journal-title":"Sci Rep"},{"issue":"12","key":"3845_CR10","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, et al. Radiomics: the Bridge between medical imaging and personalized medicine. Nat Reviews Clin Oncol. 2017;14(12):749\u201362.","journal-title":"Nat Reviews Clin Oncol"},{"key":"3845_CR11","doi-asserted-by":"publisher","first-page":"1121485","DOI":"10.3389\/fonc.2023.1121485","volume":"13","author":"Y Xie","year":"2023","unstructured":"Xie Y, Wang M, Xia H, Sun H, Yuan Y, Jia J, et al. Development and validation of a CECT-based radiomics model for predicting IL1B expression and prognosis of head and neck squamous cell carcinoma. Front Oncol. 2023;13:1121485.","journal-title":"Front Oncol"},{"issue":"4","key":"3845_CR12","doi-asserted-by":"publisher","first-page":"2227","DOI":"10.1245\/s10434-022-13026-6","volume":"30","author":"S-J Zheng","year":"2022","unstructured":"Zheng S-J, Zheng C-P, Zhai T-T, Xu X-E, Zheng Y-Q, Li Z-M, et al. Development and validation of a new staging system for esophageal squamous cell carcinoma patients based on combined pathological TNM, radiomics, and proteomics. Ann Surg Oncol. 2022;30(4):2227\u201341.","journal-title":"Ann Surg Oncol"},{"key":"3845_CR13","doi-asserted-by":"crossref","unstructured":"Jiang Y, Zhou K, Sun Z, Wang H, Xie J, Zhang T et al. Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics. Cell Rep Med. 2023;4(8).","DOI":"10.1016\/j.xcrm.2023.101146"},{"key":"3845_CR14","doi-asserted-by":"publisher","first-page":"101348","DOI":"10.1016\/j.eclinm.2022.101348","volume":"46","author":"Y Cui","year":"2022","unstructured":"Cui Y, Zhang J, Li Z, Wei K, Lei Y, Ren J, et al. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study. EClinicalMedicine. 2022;46:101348.","journal-title":"EClinicalMedicine"},{"issue":"10","key":"3845_CR15","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1093\/jnci\/djp082","volume":"101","author":"MC Cheang","year":"2009","unstructured":"Cheang MC, Chia SK, Voduc D, Gao D, Leung S, Snider J, et al. Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst. 2009;101(10):736\u201350.","journal-title":"J Natl Cancer Inst"},{"issue":"1","key":"3845_CR16","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1038\/s41379-020-0643-8","volume":"34","author":"SU Baskota","year":"2021","unstructured":"Baskota SU, Dabbs DJ, Clark BZ, Bhargava R. Prosigna\u00ae breast cancer assay: histopathologic correlation, development, and assessment of size, nodal status, Ki-67 (SiNK\u2122) index for breast cancer prognosis. Mod Pathology: Official J United States Can Acad Pathol Inc. 2021;34(1):70\u20136.","journal-title":"Mod Pathology: Official J United States Can Acad Pathol Inc"},{"issue":"9","key":"3845_CR17","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1038\/s41379-019-0260-6","volume":"32","author":"P Hammarsten","year":"2019","unstructured":"Hammarsten P, Josefsson A, Thysell E, Lundholm M, H\u00e4ggl\u00f6f C, Iglesias-Gato D, et al. Immunoreactivity for prostate specific antigen and Ki67 differentiates subgroups of prostate cancer related to outcome. Mod Pathology: Official J United States Can Acad Pathol Inc. 2019;32(9):1310\u20139.","journal-title":"Mod Pathology: Official J United States Can Acad Pathol Inc"},{"issue":"3","key":"3845_CR18","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1111\/ejh.14016","volume":"111","author":"S Atrash","year":"2023","unstructured":"Atrash S, Robinson M, Taneja A, Paul B, Cassetta K, Ndiaye A, et al. Bone marrow Ki-67 index is of prognostic value in newly diagnosed multiple myeloma. Eur J Haematol. 2023;111(3):373\u201381.","journal-title":"Eur J Haematol"},{"issue":"1","key":"3845_CR19","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1186\/s12885-021-07880-y","volume":"21","author":"M Zeng","year":"2021","unstructured":"Zeng M, Zhou J, Wen L, Zhu Y, Luo Y, Wang W. The relationship between the expression of Ki-67 and the prognosis of osteosarcoma. BMC Cancer. 2021;21(1):210.","journal-title":"BMC Cancer"},{"key":"3845_CR20","doi-asserted-by":"publisher","first-page":"100242","DOI":"10.1016\/j.aohep.2020.07.010","volume":"20","author":"Z Qiang","year":"2021","unstructured":"Qiang Z, Zhang W, Jin S, Dai K, He Y, Tao L, et al. Carcinoembryonic antigen, \u03b1-fetoprotein, and Ki67 as biomarkers and prognostic factors in intrahepatic cholangiocarcinoma: A retrospective cohort study. Ann Hepatol. 2021;20:100242.","journal-title":"Ann Hepatol"},{"issue":"2","key":"3845_CR21","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1111\/his.14819","volume":"82","author":"G Centonze","year":"2023","unstructured":"Centonze G, Maisonneuve P, Simbolo M, Lagano V, Grillo F, Fabbri A, et al. Lung carcinoid tumours: histology and Ki-67, the eternal rivalry. Histopathology. 2023;82(2):324\u201339.","journal-title":"Histopathology"},{"key":"3845_CR22","doi-asserted-by":"crossref","unstructured":"Geelvink M, Babmorad A, Maurer A, St\u00f6hr R, Grimm T, Bach C et al. Diagnostic and prognostic implications of FGFR3(high)\/Ki67(high) papillary bladder cancers. Int J Mol Sci. 2018;19(9).","DOI":"10.3390\/ijms19092548"},{"issue":"4","key":"3845_CR23","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/S1995-7645(14)60033-X","volume":"7","author":"HW Wu","year":"2014","unstructured":"Wu HW, Qin CY, Huang JL, Kong XY, Wang WJ, Bai WK. Correlations of \u03b2-catenin, Ki67 and Her-2\/neu with gastric cancer. Asian Pac J Trop Med. 2014;7(4):257\u201361.","journal-title":"Asian Pac J Trop Med"},{"key":"3845_CR24","doi-asserted-by":"publisher","first-page":"1329801","DOI":"10.3389\/fonc.2024.1329801","volume":"14","author":"X Luo","year":"2024","unstructured":"Luo X, Zheng R, Zhang J, He J, Luo W, Jiang Z, et al. CT-based radiomics for predicting Ki-67 expression in lung cancer: a systematic review and meta-analysis. Front Oncol. 2024;14:1329801.","journal-title":"Front Oncol"},{"issue":"1","key":"3845_CR25","doi-asserted-by":"publisher","first-page":"638","DOI":"10.1186\/s12885-023-11130-8","volume":"23","author":"S Deng","year":"2023","unstructured":"Deng S, Ding J, Wang H, Mao G, Sun J, Hu J, et al. Deep learning-based radiomic nomograms for predicting Ki67 expression in prostate cancer. BMC Cancer. 2023;23(1):638.","journal-title":"BMC Cancer"},{"key":"3845_CR26","doi-asserted-by":"crossref","unstructured":"Qiao X, Gu X, Liu Y, Shu X, Ai G, Qian S et al. MRI Radiomics-Based machine learning models for Ki67 expression and Gleason grade group prediction in prostate cancer. Cancers. 2023;15(18).","DOI":"10.3390\/cancers15184536"},{"issue":"1","key":"3845_CR27","doi-asserted-by":"publisher","first-page":"225","DOI":"10.2214\/AJR.19.22744","volume":"216","author":"LM Treanor","year":"2021","unstructured":"Treanor LM, Frank RA, Atyani A, Sharifabadi AD, Hallgrimson Z, Fabiano N, et al. Reporting bias in imaging diagnostic test accuracy studies: are studies with positive conclusions or titles submitted and published faster?? AJR Am J Roentgenol. 2021;216(1):225\u201332.","journal-title":"AJR Am J Roentgenol"},{"key":"3845_CR28","doi-asserted-by":"publisher","first-page":"107327482412936","DOI":"10.1177\/10732748241293699","volume":"31","author":"L Shen","year":"2024","unstructured":"Shen L, Li Y, Huang H, Lu Z, Chen B. HER2 in gastric cancer: A comprehensive analysis combining Meta-Analysis and DCE-MRI radiomics. Cancer Control: J Moffitt Cancer Cent. 2024;31:10732748241293699.","journal-title":"Cancer Control: J Moffitt Cancer Cent"},{"key":"3845_CR29","doi-asserted-by":"publisher","first-page":"16","DOI":"10.3390\/cancers13163965","volume":"13","author":"GC Manikis","year":"2021","unstructured":"Manikis GC, Ioannidis GS, Siakallis L, Nikiforaki K, Iv M, Vozlic D, et al. Multicenter DSC-MRI-Based radiomics predict IDH mutation in gliomas. Cancers. 2021;13:16.","journal-title":"Cancers"},{"key":"3845_CR30","doi-asserted-by":"publisher","first-page":"1478385","DOI":"10.3389\/fonc.2024.1478385","volume":"14","author":"AK Abou-Foul","year":"2024","unstructured":"Abou-Foul AK, Dretzke J, Albon E, Kristunas C, Moore DJ, Karwath A, et al. Clinical predictive models for recurrence and survival in treated laryngeal and hypopharyngeal cancer: a systematic review and meta-analysis. Front Oncol. 2024;14:1478385.","journal-title":"Front Oncol"},{"issue":"1","key":"3845_CR31","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1007\/s12194-024-00877-9","volume":"18","author":"Y Ieko","year":"2025","unstructured":"Ieko Y, Kadoya N, Tanaka S, Kikuchi K, Yamamoto T, Ariga H, et al. Radiomics and dosiomics approaches to estimate lung function after stereotactic body radiation therapy in patients with lung tumors. Radiol Phys Technol. 2025;18(1):238\u201348.","journal-title":"Radiol Phys Technol"},{"key":"3845_CR32","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1186\/s12885-016-2659-5","volume":"16","author":"P Grossmann","year":"2016","unstructured":"Grossmann P, Gutman DA, Dunn WD Jr., Holder CA, Aerts HJ. Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in glioblastoma. BMC Cancer. 2016;16:611.","journal-title":"BMC Cancer"},{"key":"3845_CR33","doi-asserted-by":"publisher","first-page":"1517765","DOI":"10.3389\/fmed.2025.1517765","volume":"12","author":"H Wang","year":"2025","unstructured":"Wang H, Hong Y, Zhang Z, Cheng K, Chen B, Zhang R. Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms. Front Med. 2025;12:1517765.","journal-title":"Front Med"},{"key":"3845_CR34","doi-asserted-by":"crossref","unstructured":"Dong Y, Zhang J, Lam S, Zhang X, Liu A, Teng X et al. Multimodal data integration to predict severe acute oral mucositis of nasopharyngeal carcinoma patients following radiation therapy. Cancers. 2023;15(7).","DOI":"10.3390\/cancers15072032"},{"issue":"3","key":"3845_CR35","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1016\/j.radonc.2016.04.004","volume":"119","author":"TP Coroller","year":"2016","unstructured":"Coroller TP, Agrawal V, Narayan V, Hou Y, Grossmann P, Lee SW, et al. Radiomic phenotype features predict pathological response in non-small cell lung cancer. Radiotherapy Oncology: J Eur Soc Therapeutic Radiol Oncol. 2016;119(3):480\u20136.","journal-title":"Radiotherapy Oncology: J Eur Soc Therapeutic Radiol Oncol"},{"issue":"6","key":"3845_CR36","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1093\/aje\/kwk052","volume":"165","author":"E Vittinghoff","year":"2007","unstructured":"Vittinghoff E, McCulloch CE. Relaxing the rule of ten events per variable in logistic and Cox regression. Am J Epidemiol. 2007;165(6):710\u20138.","journal-title":"Am J Epidemiol"},{"issue":"12","key":"3845_CR37","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1016\/S0895-4356(96)00236-3","volume":"49","author":"P Peduzzi","year":"1996","unstructured":"Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373\u20139.","journal-title":"J Clin Epidemiol"},{"issue":"30","key":"3845_CR38","doi-asserted-by":"publisher","first-page":"50273","DOI":"10.18632\/oncotarget.17305","volume":"8","author":"G Luo","year":"2017","unstructured":"Luo G, Hu Y, Zhang Z, Wang P, Luo Z, Lin J, et al. Clinicopathologic significance and prognostic value of Ki-67 expression in patients with gastric cancer: a meta-analysis. Oncotarget. 2017;8(30):50273\u201383.","journal-title":"Oncotarget"},{"issue":"5","key":"3845_CR39","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1007\/s12094-017-1774-3","volume":"20","author":"C Yang","year":"2018","unstructured":"Yang C, Zhang J, Ding M, Xu K, Li L, Mao L, et al. Ki67 targeted strategies for cancer therapy. Clin Translational Oncology: Official Publication Federation Span Oncol Soc Natl Cancer Inst Mexico. 2018;20(5):570\u20135.","journal-title":"Clin Translational Oncology: Official Publication Federation Span Oncol Soc Natl Cancer Inst Mexico"},{"issue":"1","key":"3845_CR40","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1186\/s12876-020-01484-9","volume":"20","author":"Z Wei","year":"2020","unstructured":"Wei Z, Huang L, Zhang X, Xu A. Expression and significance of Her2 and Ki-67 in gastric adenocarcinoma without distant metastasis: a cohort study. BMC Gastroenterol. 2020;20(1):343.","journal-title":"BMC Gastroenterol"},{"key":"3845_CR41","doi-asserted-by":"crossref","unstructured":"Gerdes J, Lemke H, Baisch H, Wacker HH, Schwab U, Stein H. Cell cycle analysis of a cell proliferation-associated human nuclear antigen defined by the monoclonal antibody Ki-67. Journal of immunology (Baltimore, Md: 1950). 1984;133(4):1710-5.","DOI":"10.4049\/jimmunol.133.4.1710"},{"issue":"2","key":"3845_CR42","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1007\/s10549-013-2560-8","volume":"139","author":"EC Inwald","year":"2013","unstructured":"Inwald EC, Klinkhammer-Schalke M, Hofst\u00e4dter F, Zeman F, Koller M, Gerstenhauer M, et al. Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry. Breast Cancer Res Treat. 2013;139(2):539\u201352.","journal-title":"Breast Cancer Res Treat"},{"issue":"22","key":"3845_CR43","doi-asserted-by":"publisher","first-page":"1656","DOI":"10.1093\/jnci\/djr393","volume":"103","author":"M Dowsett","year":"2011","unstructured":"Dowsett M, Nielsen TO, A\u2019Hern R, Bartlett J, Coombes RC, Cuzick J, et al. Assessment of Ki67 in breast cancer: recommendations from the international Ki67 in breast cancer working group. J Natl Cancer Inst. 2011;103(22):1656\u201364.","journal-title":"J Natl Cancer Inst"},{"issue":"19","key":"3845_CR44","doi-asserted-by":"publisher","first-page":"3986","DOI":"10.1182\/blood-2012-05-433334","volume":"120","author":"ZY Xu-Monette","year":"2012","unstructured":"Xu-Monette ZY, Wu L, Visco C, Tai YC, Tzankov A, Liu WM, et al. Mutational profile and prognostic significance of TP53 in diffuse large B-cell lymphoma patients treated with R-CHOP: report from an international DLBCL Rituximab-CHOP consortium program study. Blood. 2012;120(19):3986\u201396.","journal-title":"Blood"},{"issue":"8","key":"3845_CR45","doi-asserted-by":"publisher","first-page":"1882","DOI":"10.1182\/blood-2011-10-388470","volume":"119","author":"W Klapper","year":"2012","unstructured":"Klapper W, Kreuz M, Kohler CW, Burkhardt B, Szczepanowski M, Salaverria I, et al. Patient age at diagnosis is associated with the molecular characteristics of diffuse large B-cell lymphoma. Blood. 2012;119(8):1882\u20137.","journal-title":"Blood"},{"issue":"4","key":"3845_CR46","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.1002\/hep.21328","volume":"44","author":"JH Luo","year":"2006","unstructured":"Luo JH, Ren B, Keryanov S, Tseng GC, Rao UN, Monga SP, et al. Transcriptomic and genomic analysis of human hepatocellular carcinomas and hepatoblastomas. Hepatology (Baltimore MD). 2006;44(4):1012\u201324.","journal-title":"Hepatology (Baltimore MD)"},{"issue":"4","key":"3845_CR47","doi-asserted-by":"publisher","first-page":"1117","DOI":"10.1053\/j.gastro.2006.01.006","volume":"130","author":"DF Calvisi","year":"2006","unstructured":"Calvisi DF, Ladu S, Gorden A, Farina M, Conner EA, Lee JS, et al. Ubiquitous activation of Ras and Jak\/Stat pathways in human HCC. Gastroenterology. 2006;130(4):1117\u201328.","journal-title":"Gastroenterology"},{"issue":"4","key":"3845_CR48","doi-asserted-by":"publisher","first-page":"e243","DOI":"10.1016\/j.clgc.2015.03.002","volume":"13","author":"K Tanabe","year":"2015","unstructured":"Tanabe K, Yoshida S, Koga F, Inoue M, Kobayashi S, Ishioka J, et al. High Ki-67 expression predicts favorable survival in Muscle-Invasive bladder cancer patients treated with Chemoradiation-Based bladder-Sparing protocol. Clin Genitourin Cancer. 2015;13(4):e243\u201351.","journal-title":"Clin Genitourin Cancer"},{"issue":"8","key":"3845_CR49","doi-asserted-by":"publisher","first-page":"1282","DOI":"10.1038\/sj.bjc.6605333","volume":"101","author":"\u00d8 Fluge","year":"2009","unstructured":"Fluge \u00d8, Gravdal K, Carlsen E, Vonen B, Kjellevold K, Refsum S, et al. Expression of EZH2 and Ki-67 in colorectal cancer and associations with treatment response and prognosis. Br J Cancer. 2009;101(8):1282\u20139.","journal-title":"Br J Cancer"},{"issue":"12","key":"3845_CR50","first-page":"817","volume":"46","author":"XX Wei","year":"2017","unstructured":"Wei XX, Zhang R, Pu TJ, Yang LB, Ye F, Bu H. [Ki-67 expression and its effect on response to neo-adjuvant chemotherapy in invasive breast cancer]. Zhonghua Bing Li Xue Za zhi\u2009=\u2009chinese. J Pathol. 2017;46(12):817\u201321.","journal-title":"J Pathol"},{"issue":"3","key":"3845_CR51","doi-asserted-by":"publisher","first-page":"2101","DOI":"10.3892\/ol.2016.4199","volume":"11","author":"P Yuan","year":"2016","unstructured":"Yuan P, Xu B, Wang C, Zhang C, Sun M, Yuan L. Ki-67 expression in luminal type breast cancer and its association with the clinicopathology of the cancer. Oncol Lett. 2016;11(3):2101\u20135.","journal-title":"Oncol Lett"},{"issue":"12","key":"3845_CR52","doi-asserted-by":"publisher","first-page":"1300","DOI":"10.15537\/smj.2023.44.12.20230246","volume":"44","author":"M Awadh","year":"2023","unstructured":"Awadh M, Darwish A, Alqatari H, Buzaid FM, Darwish A. A descriptive analysis of gastric cancer with an immunohistochemical study of Ki67 and p53 as prognostic factors.: Bahrain experience. Saudi Med J. 2023;44(12):1300\u20139.","journal-title":"Saudi Med J"},{"issue":"5","key":"3845_CR53","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1093\/annonc\/mdw040","volume":"27","author":"NY Chia","year":"2016","unstructured":"Chia NY, Tan P. Molecular classification of gastric cancer. Annals Oncology: Official J Eur Soc Med Oncol. 2016;27(5):763\u20139.","journal-title":"Annals Oncology: Official J Eur Soc Med Oncol"},{"issue":"5","key":"3845_CR54","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1038\/nm.3850","volume":"21","author":"R Cristescu","year":"2015","unstructured":"Cristescu R, Lee J, Nebozhyn M, Kim KM, Ting JC, Wong SS, et al. Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes. Nat Med. 2015;21(5):449\u201356.","journal-title":"Nat Med"}],"container-title":["BMC Gastroenterology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12876-025-03845-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12876-025-03845-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12876-025-03845-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T18:02:53Z","timestamp":1744740173000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcgastroenterol.biomedcentral.com\/articles\/10.1186\/s12876-025-03845-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,15]]},"references-count":54,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["3845"],"URL":"https:\/\/doi.org\/10.1186\/s12876-025-03845-8","relation":{},"ISSN":["1471-230X"],"issn-type":[{"value":"1471-230X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,15]]},"assertion":[{"value":"7 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 April 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study strictly adhered to the Declaration of Helsinki, and all experimental procedures were reviewed and approved by the Clinical Research Ethics Committee at Renmin Hospital of Wuhan University (Approval No. WDRY2022-K227). Participants in this study provided informed consent, and written informed consent was signed by them or their guardians.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not Applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"260"}}