{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:42:59Z","timestamp":1792788179350,"version":"4.5.0"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T00:00:00Z","timestamp":1783728000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T00:00:00Z","timestamp":1791331200000},"content-version":"vor","delay-in-days":88,"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":"publisher","award":["82471321"],"award-info":[{"award-number":["82471321"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005230","name":"Natural Science Foundation of Chongqing Municipality","doi-asserted-by":"publisher","award":["CSTB2023NSCQ-MSX0107"],"award-info":[{"award-number":["CSTB2023NSCQ-MSX0107"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005230","name":"Natural Science Foundation of Chongqing Municipality","doi-asserted-by":"publisher","award":["CSTB2025NSCQ-GPX1144"],"award-info":[{"award-number":["CSTB2025NSCQ-GPX1144"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chongqing Medical Leading Talents Program","award":["YXLJ202429"],"award-info":[{"award-number":["YXLJ202429"]}]},{"name":"Kuanren Talents Program of the Second Affiliated Hospital of Chongqing Medical University","award":["20241708"],"award-info":[{"award-number":["20241708"]}],"id":[{"id":"https:\/\/ror.org\/00r67fz39","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Transl Med"],"DOI":"10.1186\/s12967-026-08555-7","type":"journal-article","created":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T06:53:46Z","timestamp":1783752826000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative single-cell and spatial transcriptomic analysis reveals a lactate-driven crosstalk between NFATc4\u207a tumor cells and SPP1\u207a macrophages in glioblastoma"],"prefix":"10.1186","volume":"24","author":[{"given":"Ruoli","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wantao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ye","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongyi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junyi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxin","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linhui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinrui","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4582-2556","authenticated-orcid":false,"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongyi","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,11]]},"reference":[{"key":"8555_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1038\/s41572-024-00516-y","volume":"10","author":"M Weller","year":"2024","unstructured":"Weller M, Wen PY, Chang SM, Dirven L, Lim M, Monje M, et al. Glioma Nat Rev Dis Primers. 2024;10:33. https:\/\/doi.org\/10.1038\/s41572-024-00516-y.","journal-title":"Glioma Nat Rev Dis Primers"},{"key":"8555_CR2","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1093\/neuonc\/noab106","volume":"23","author":"DN Louis","year":"2021","unstructured":"Louis DN, Perry A, Wesseling P, Brat DJ, Cree IA, Figarella-Branger D, et al. The 2021 WHO classification of tumors of the central nervous system: A summary. Neuro-oncol. 2021;23:1231\u201351. https:\/\/doi.org\/10.1093\/neuonc\/noab106.","journal-title":"Neuro-oncol"},{"key":"8555_CR3","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1200\/JCO.2017.73.0119","volume":"35","author":"BM Alexander","year":"2017","unstructured":"Alexander BM, Cloughesy TF. Adult glioblastoma. J Clin Oncol: Off J Am Soc Clin Oncol. 2017;35:2402\u20139. https:\/\/doi.org\/10.1200\/JCO.2017.73.0119.","journal-title":"J Clin Oncol: Off J Am Soc Clin Oncol"},{"key":"8555_CR4","doi-asserted-by":"publisher","first-page":"1580","DOI":"10.1038\/s41416-020-0814-x","volume":"122","author":"S Han","year":"2020","unstructured":"Han S, Liu Y, Cai SJ, Qian M, Ding J, Larion M, et al. IDH mutation in glioma: Molecular mechanisms and potential therapeutic targets. Br J Cancer. 2020;122:1580\u20139. https:\/\/doi.org\/10.1038\/s41416-020-0814-x.","journal-title":"Br J Cancer"},{"key":"8555_CR5","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/s11060-017-2379-y","volume":"134","author":"K Ludwig","year":"2017","unstructured":"Ludwig K, Kornblum HI. Molecular markers in glioma. J Neuro-oncol. 2017;134:505\u201312. https:\/\/doi.org\/10.1007\/s11060-017-2379-y.","journal-title":"J Neuro-oncol"},{"key":"8555_CR6","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1038\/s41423-020-0488-6","volume":"17","author":"Y Zhang","year":"2020","unstructured":"Zhang Y, Zhang Z. The history and advances in cancer immunotherapy: Understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications. Cell Mol Immunol. 2020;17:807\u201321. https:\/\/doi.org\/10.1038\/s41423-020-0488-6.","journal-title":"Cell Mol Immunol"},{"key":"8555_CR7","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1186\/s40164-025-00689-6","volume":"14","author":"R Wang","year":"2025","unstructured":"Wang R, Zhuang J, Zhang Q, Wu W, Yu X, Zhang H, et al. Decoding the metabolic dialogue in the tumor microenvironment: From immune suppression to precision cancer therapies. Exp Hematol Oncol. 2025;14:99. https:\/\/doi.org\/10.1186\/s40164-025-00689-6.","journal-title":"Exp Hematol Oncol"},{"key":"8555_CR8","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1038\/s42255-024-01011-0","volume":"6","author":"X Liu","year":"2024","unstructured":"Liu X, Li S, Cui Q, Guo B, Ding W, Liu J, et al. Activation of GPR81 by lactate drives tumour-induced cachexia. Nat Metab. 2024;6:708\u201323. https:\/\/doi.org\/10.1038\/s42255-024-01011-0.","journal-title":"Nat Metab"},{"key":"8555_CR9","doi-asserted-by":"publisher","first-page":"2320951","DOI":"10.1080\/2162402X.2024.2320951","volume":"13","author":"J Su","year":"2024","unstructured":"Su J, Mao X, Wang L, Chen Z, Wang W, Zhao C, et al. Lactate\/GPR81 recruits regulatory T cells by modulating CX3CL1 to promote immune resistance in a highly glycolytic gastric cancer. Oncoimmunology. 2024;13:2320951. https:\/\/doi.org\/10.1080\/2162402X.2024.2320951.","journal-title":"Oncoimmunology"},{"key":"8555_CR10","doi-asserted-by":"publisher","first-page":"115441","DOI":"10.1016\/j.celrep.2025.115441","volume":"44","author":"K Rao","year":"2025","unstructured":"Rao K, Zhang X, Luo Y, Xia Q, Jin Y, He J. Lactylation orchestrates ubiquitin-independent degradation of cGAS and promotes tumor growth. Cell Rep. 2025;44:115441. https:\/\/doi.org\/10.1016\/j.celrep.2025.115441.","journal-title":"Cell Rep"},{"key":"8555_CR11","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1038\/nri1632","volume":"5","author":"F Macian","year":"2005","unstructured":"Macian F. NFAT proteins: Key regulators of T-cell development and function. Nat Rev Immunol. 2005;5:472\u201384. https:\/\/doi.org\/10.1038\/nri1632.","journal-title":"Nat Rev Immunol"},{"key":"8555_CR12","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1186\/s12935-022-02619-6","volume":"22","author":"Q-H Zhong","year":"2022","unstructured":"Zhong Q-H, Zha S-W, Lau ATY, Xu Y-M. Recent knowledge of NFATc4 in oncogenesis and cancer prognosis. Cancer Cell Int. 2022;22:212. https:\/\/doi.org\/10.1186\/s12935-022-02619-6.","journal-title":"Cancer Cell Int"},{"key":"8555_CR13","doi-asserted-by":"publisher","first-page":"6197","DOI":"10.1007\/s11033-019-05055-4","volume":"46","author":"Q Su","year":"2019","unstructured":"Su Q, Liu M, Jiang M, Wang Y, Ma X, Li S, et al. Involvement of calcineurin\/NFATc4 pathway in a single-prolonged stress-based rat model of post-traumatic stress disorder. Mol Biol Rep. 2019;46:6197\u2013204. https:\/\/doi.org\/10.1007\/s11033-019-05055-4.","journal-title":"Mol Biol Rep"},{"key":"8555_CR14","doi-asserted-by":"publisher","first-page":"e2308769","DOI":"10.1002\/advs.202308769","volume":"11","author":"S Yu","year":"2024","unstructured":"Yu S, Sun Z, Ju T, Liu Y, Mei Z, Wang C, et al. The m7G Methyltransferase Mettl1 Drives Cardiac Hypertrophy by Regulating SRSF9-Mediated Splicing of NFATc4. Adv Sci (Weinh). 2024;11:e2308769. https:\/\/doi.org\/10.1002\/advs.202308769.","journal-title":"Adv Sci (Weinh)"},{"key":"8555_CR15","doi-asserted-by":"publisher","first-page":"2400","DOI":"10.1111\/cas.70122","volume":"116","author":"W Yang","year":"2025","unstructured":"Yang W, Wu X, Cai F, Guo Z, Xu Z, Peng Y, et al. NFATc4 promotes lung adenocarcinoma progression via the CCNB1\/CDK1 pathway and is a potential prognostic biomarker. Cancer Sci. 2025;116:2400\u201312. https:\/\/doi.org\/10.1111\/cas.70122.","journal-title":"Cancer Sci"},{"key":"8555_CR16","doi-asserted-by":"publisher","first-page":"e131486","DOI":"10.1172\/jci.insight.131486","volume":"5","author":"AJ Cole","year":"2020","unstructured":"Cole AJ, Iyengar M, Panesso-G\u00f3mez S, O\u2019Hayer P, Chan D, Delgoffe GM, et al. NFATC4 promotes quiescence and chemotherapy resistance in ovarian cancer. JCI Insight. 2020;5:e131486. https:\/\/doi.org\/10.1172\/jci.insight.131486.","journal-title":"JCI Insight"},{"key":"8555_CR17","doi-asserted-by":"publisher","first-page":"573124","DOI":"10.3389\/fgene.2020.573124","volume":"11","author":"C Zhao","year":"2020","unstructured":"Zhao C, Yang S, Lu W, Liu J, Wei Y, Guo H, et al. Increased NFATC4 correlates with poor prognosis of AML through recruiting regulatory T cells. Front Genet. 2020;11:573124. https:\/\/doi.org\/10.3389\/fgene.2020.573124.","journal-title":"Front Genet"},{"key":"8555_CR18","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1038\/s41587-023-01767-y","volume":"42","author":"Y Hao","year":"2024","unstructured":"Hao Y, Stuart T, Kowalski MH, Choudhary S, Hoffman P, Hartman A, et al. Dictionary learning for integrative, multimodal and scalable single-cell analysis. Nat Biotechnol Nat Publishing Group. 2024;42:293\u2013304. https:\/\/doi.org\/10.1038\/s41587-023-01767-y.","journal-title":"Nat Biotechnol Nat Publishing Group"},{"key":"8555_CR19","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1038\/s41592-019-0619-0","volume":"16","author":"I Korsunsky","year":"2019","unstructured":"Korsunsky I, Millard N, Fan J, Slowikowski K, Zhang F, Wei K, et al. Fast, sensitive and accurate integration of single-cell data with harmony. Nat Methods Nat Publishing Group. 2019;16:1289\u201396. https:\/\/doi.org\/10.1038\/s41592-019-0619-0.","journal-title":"Nat Methods Nat Publishing Group"},{"key":"8555_CR20","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1038\/s41586-019-1678-1","volume":"574","author":"D Zhang","year":"2019","unstructured":"Zhang D, Tang Z, Huang H, Zhou G, Cui C, Weng Y, et al. Metabolic regulation of gene expression by histone lactylation. Nature. 2019;574:575\u201380. https:\/\/doi.org\/10.1038\/s41586-019-1678-1.","journal-title":"Nature"},{"key":"8555_CR21","doi-asserted-by":"publisher","first-page":"644","DOI":"10.3390\/ph16050644","volume":"16","author":"Z Cheng","year":"2023","unstructured":"Cheng Z, Huang H, Li M, Liang X, Tan Y, Chen Y. Lactylation-related gene signature effectively predicts prognosis and treatment responsiveness in hepatocellular carcinoma. Pharm (basel Switz). 2023;16:644. https:\/\/doi.org\/10.3390\/ph16050644.","journal-title":"Pharm (basel Switz)"},{"key":"8555_CR22","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1038\/s41467-022-28421-6","volume":"13","author":"Z Liu","year":"2022","unstructured":"Liu Z, Liu L, Weng S, Guo C, Dang Q, Xu H, et al. Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer. Nat Commun. 2022;13:816. https:\/\/doi.org\/10.1038\/s41467-022-28421-6.","journal-title":"Nat Commun"},{"key":"8555_CR23","doi-asserted-by":"publisher","first-page":"2798","DOI":"10.1016\/j.csbj.2024.06.035","volume":"23","author":"H Liu","year":"2024","unstructured":"Liu H, Zhang W, Zhang Y, Adegboro AA, Fasoranti DO, Dai L, et al. Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection. Comput Struct Biotechnol J. 2024;23:2798\u2013810. https:\/\/doi.org\/10.1016\/j.csbj.2024.06.035.","journal-title":"Comput Struct Biotechnol J"},{"key":"8555_CR24","doi-asserted-by":"publisher","first-page":"687975","DOI":"10.3389\/fimmu.2021.687975","volume":"12","author":"D Zeng","year":"2021","unstructured":"Zeng D, Ye Z, Shen R, Yu G, Wu J, Xiong Y, et al. Multi-omics immuno-oncology biological research to decode tumor microenvironment and signatures. Front Immunol. 2021;12:687975. https:\/\/doi.org\/10.3389\/fimmu.2021.687975.","journal-title":"Front Immunol"},{"key":"8555_CR25","doi-asserted-by":"publisher","unstructured":"Yang C, Zhang H, Chen M, Wang S, Qian R, Zhang L, et al. A survey of optimal strategy for signature-based drug repositioning and an application to liver cancer [Internet]. eLife. 2022. [cited 2025 Oct 21]. https:\/\/doi.org\/10.7554\/eLife.71880.","DOI":"10.7554\/eLife.71880"},{"key":"8555_CR26","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1016\/j.neo.2019.04.003","volume":"21","author":"Immune signature-based","year":"2019","unstructured":"Immune signature-based. subtypes of cervical squamous cell carcinoma tightly associated with human papillomavirus type 16 expression, molecular features, and clinical outcome. Neoplasia Elsevier. 2019;21:591\u2013601. https:\/\/doi.org\/10.1016\/j.neo.2019.04.003.","journal-title":"Neoplasia Elsevier"},{"key":"8555_CR27","doi-asserted-by":"publisher","unstructured":"Yang C, Huang X, Li Y, Chen J, Lv Y, Dai S. Prognosis and personalized treatment prediction in TP53-mutant hepatocellular carcinoma: an in silico strategy towards precision oncology. Brief Bioinform 2021. [cited 2025 Oct 21];22. https:\/\/doi.org\/10.1093\/bib\/bbaa164.","DOI":"10.1093\/bib\/bbaa164"},{"key":"8555_CR28","doi-asserted-by":"publisher","first-page":"3927","DOI":"10.1002\/1878-0261.13315","volume":"16","author":"H Zhang","year":"2022","unstructured":"Zhang H, Zhang N, Dai Z, Wang Z, Zhang X, Liang X, et al. Hyaluronic acids mediate the infiltration, migration, and M2 polarization of macrophages: evaluating metabolic molecular phenotypes in gliomas. Mol Oncol. 2022;16:3927\u201348. https:\/\/doi.org\/10.1002\/1878-0261.13315.","journal-title":"Mol Oncol"},{"key":"8555_CR29","doi-asserted-by":"publisher","first-page":"1694","DOI":"10.1016\/j.cell.2022.03.033","volume":"185","author":"P Baldominos","year":"2022","unstructured":"Baldominos P, Barbera-Mourelle A, Barreiro O, Huang Y, Wight A, Cho J-W, et al. Quiescent cancer cells resist T cell attack by forming an immunosuppressive niche. Cell. 2022;185:1694\u2013e170819. https:\/\/doi.org\/10.1016\/j.cell.2022.03.033.","journal-title":"Cell"},{"key":"8555_CR30","doi-asserted-by":"publisher","first-page":"2852","DOI":"10.21037\/tcr-23-325","volume":"12","author":"D Zheng","year":"2023","unstructured":"Zheng D, Long S, Xi M. A comprehensive pan-cancer analysis identifies a novel glycolysis score and its hub genes as prognostic and immunological biomarkers. Transl Cancer Res. 2023;12:2852\u201374. https:\/\/doi.org\/10.21037\/tcr-23-325.","journal-title":"Transl Cancer Res"},{"key":"8555_CR31","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1158\/1078-0432.CCR-19-0909","volume":"26","author":"RA Vaubel","year":"2020","unstructured":"Vaubel RA, Tian S, Remonde D, Schroeder MA, Mladek AC, Kitange GJ, et al. Genomic and phenotypic characterization of a broad panel of patient-derived xenografts reflects the diversity of glioblastoma. Clin Cancer Res: Off J Am Assoc Cancer Res. 2020;26:1094\u2013104. https:\/\/doi.org\/10.1158\/1078-0432.CCR-19-0909.","journal-title":"Clin Cancer Res: Off J Am Assoc Cancer Res"},{"key":"8555_CR32","doi-asserted-by":"publisher","first-page":"289","DOI":"10.2217\/cns.13.20","volume":"2","author":"D Guo","year":"2013","unstructured":"Guo D, Bell EH, Chakravarti A. Lipid metabolism emerges as a promising target for malignant glioma therapy. Cns Oncol. 2013;2:289\u201399. https:\/\/doi.org\/10.2217\/cns.13.20.","journal-title":"Cns Oncol"},{"key":"8555_CR33","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1517\/14728222.2014.944899","volume":"18","author":"I Nakano","year":"2014","unstructured":"Nakano I. Therapeutic potential of targeting glucose metabolism in glioma stem cells. Expert Opin Ther Targets. 2014;18:1233\u20136. https:\/\/doi.org\/10.1517\/14728222.2014.944899.","journal-title":"Expert Opin Ther Targets"},{"key":"8555_CR34","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1021\/acs.bioconjchem.4c00287","volume":"35","author":"X Chai","year":"2024","unstructured":"Chai X, Zhang Y, Zhang W, Feng K, Jiang Y, Zhu A, et al. Tumor metabolism: A new field for the treatment of glioma. Bioconjug Chem. 2024;35:1116\u201341. https:\/\/doi.org\/10.1021\/acs.bioconjchem.4c00287.","journal-title":"Bioconjug Chem"},{"key":"8555_CR35","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1016\/j.it.2022.10.005","volume":"43","author":"P Apostolova","year":"2022","unstructured":"Apostolova P, Pearce EL. Lactic acid and lactate: Revisiting the physiological roles in the tumor microenvironment. Trends Immunol. 2022;43:969\u201377. https:\/\/doi.org\/10.1016\/j.it.2022.10.005.","journal-title":"Trends Immunol"},{"key":"8555_CR36","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1038\/nature13490","volume":"513","author":"OR Colegio","year":"2014","unstructured":"Colegio OR, Chu N-Q, Szabo AL, Chu T, Rhebergen AM, Jairam V, et al. Functional polarization of tumour-associated macrophages by tumour-derived lactic acid. Nature. 2014;513:559\u201363. https:\/\/doi.org\/10.1038\/nature13490.","journal-title":"Nature"},{"key":"8555_CR37","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.ccell.2022.01.001","volume":"40","author":"S Kumagai","year":"2022","unstructured":"Kumagai S, Koyama S, Itahashi K, Tanegashima T, Lin Y-T, Togashi Y, et al. Lactic acid promotes PD-1 expression in regulatory T cells in highly glycolytic tumor microenvironments. Cancer Cell. 2022;40:201\u2013e2189. https:\/\/doi.org\/10.1016\/j.ccell.2022.01.001.","journal-title":"Cancer Cell"},{"key":"8555_CR38","doi-asserted-by":"publisher","first-page":"2871","DOI":"10.3748\/wjg.v27.i21.2871","volume":"27","author":"Z-S Ye","year":"2021","unstructured":"Ye Z-S, Zheng M, Liu Q-Y, Zeng Y, Wei S-H, Wang Y, et al. Survival-associated alternative splicing events interact with the immune microenvironment in stomach adenocarcinoma. World J Gastroenterol. 2021;27:2871\u201394. https:\/\/doi.org\/10.3748\/wjg.v27.i21.2871.","journal-title":"World J Gastroenterol"},{"key":"8555_CR39","doi-asserted-by":"publisher","first-page":"16521","DOI":"10.1038\/s41598-021-95969-6","volume":"11","author":"Y Mori","year":"2021","unstructured":"Mori Y, Yokota H, Hoshino I, Iwatate Y, Wakamatsu K, Uno T, et al. Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer. Sci Rep. 2021;11:16521. https:\/\/doi.org\/10.1038\/s41598-021-95969-6.","journal-title":"Sci Rep"},{"key":"8555_CR40","doi-asserted-by":"publisher","first-page":"5054324","DOI":"10.1155\/2022\/5054324","volume":"2022","author":"X Li","year":"2022","unstructured":"Li X, Zhang M, Yu X, Xue M, Li X, Ma C, et al. AHCYL1 is a novel biomarker for predicting prognosis and immunotherapy response in colorectal cancer. J Oncol. 2022;2022:5054324. https:\/\/doi.org\/10.1155\/2022\/5054324.","journal-title":"J Oncol"},{"key":"8555_CR41","doi-asserted-by":"publisher","first-page":"5772","DOI":"10.7150\/thno.108654","volume":"15","author":"M Lei","year":"2025","unstructured":"Lei M, Yeung YT, Nie W, Yang R, Li J, Chen H, et al. AHCYL1 mediates the tumor-promoting effect of PREX2 in non-small cell lung carcinoma. Theranostics. 2025;15:5772\u201389. https:\/\/doi.org\/10.7150\/thno.108654.","journal-title":"Theranostics"},{"key":"8555_CR42","doi-asserted-by":"publisher","first-page":"4018","DOI":"10.1038\/s41598-025-34043-x","volume":"16","author":"D Monaco","year":"2026","unstructured":"Monaco D, Traversa D, Mattioli E, Zito FA, Cristiani G, Buono F, et al. Biological and prognostic relevance of a-to-I RNA editing across consensus molecular subtypes of colon cancer. Sci Rep. 2026;16:4018. https:\/\/doi.org\/10.1038\/s41598-025-34043-x.","journal-title":"Sci Rep"},{"key":"8555_CR43","doi-asserted-by":"publisher","first-page":"3288","DOI":"10.1093\/brain\/awac222","volume":"145","author":"R Perelroizen","year":"2022","unstructured":"Perelroizen R, Philosof B, Budick-Harmelin N, Chernobylsky T, Ron A, Katzir R, et al. Astrocyte immunometabolic regulation of the tumour microenvironment drives glioblastoma pathogenicity. Brain. 2022;145:3288\u2013307. https:\/\/doi.org\/10.1093\/brain\/awac222.","journal-title":"Brain"},{"key":"8555_CR44","doi-asserted-by":"publisher","first-page":"1742","DOI":"10.1038\/s41467-022-29366-6","volume":"13","author":"J Qi","year":"2022","unstructured":"Qi J, Sun H, Zhang Y, Wang Z, Xun Z, Li Z, et al. Single-cell and spatial analysis reveal interaction of FAP+ fibroblasts and SPP1\u2009+\u2009macrophages in colorectal cancer. Nat Commun. 2022;13:1742. https:\/\/doi.org\/10.1038\/s41467-022-29366-6.","journal-title":"Nat Commun"},{"key":"8555_CR45","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1186\/s13046-024-03255-w","volume":"43","author":"C Liu","year":"2024","unstructured":"Liu C, Wu K, Li C, Zhang Z, Zhai P, Guo H, et al. SPP1\u2009+\u2009macrophages promote head and neck squamous cell carcinoma progression by secreting TNF-\u03b1 and IL-1\u03b2. J Exp Clin Cancer Res: CR. 2024;43:332. https:\/\/doi.org\/10.1186\/s13046-024-03255-w.","journal-title":"J Exp Clin Cancer Res: CR"},{"key":"8555_CR46","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1038\/s41568-020-0273-y","volume":"20","author":"RD Leone","year":"2020","unstructured":"Leone RD, Powell JD. Metabolism of immune cells in cancer. Nat Rev Cancer. 2020;20:516\u201331. https:\/\/doi.org\/10.1038\/s41568-020-0273-y.","journal-title":"Nat Rev Cancer"}],"container-title":["Journal of Translational Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12967-026-08555-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12967-026-08555-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12967-026-08555-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T00:06:45Z","timestamp":1791331605000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12967-026-08555-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,11]]},"references-count":46,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["8555"],"URL":"https:\/\/doi.org\/10.1186\/s12967-026-08555-7","relation":{},"ISSN":["1479-5876"],"issn-type":[{"value":"1479-5876","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,11]]},"assertion":[{"value":"7 February 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors have agreed on the contents of the manuscript.","order":2,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors declare that they have no competing interests.","order":3,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"1253"}}