{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T16:47:58Z","timestamp":1793810878015,"version":"4.6.1"},"reference-count":87,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:00:00Z","timestamp":1772064000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:00:00Z","timestamp":1772064000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Strategic Priority Research Program of Chinese Academy of Sciences","award":["XDB38050200"],"award-info":[{"award-number":["XDB38050200"]}]},{"name":"trategic Priority Research Program of Chinese Academy of Sciences","award":["XDA26040304"],"award-info":[{"award-number":["XDA26040304"]}]},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2022YFF1203202"],"award-info":[{"award-number":["2022YFF1203202"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Self-supporting Program of Guangzhou Laboratory","award":["SRPG22-007"],"award-info":[{"award-number":["SRPG22-007"]}]},{"name":"Major Project of Guangzhou National Laboratory","award":["GZNL2024A01003"],"award-info":[{"award-number":["GZNL2024A01003"]}]},{"name":"Fund of the Key Laboratory of Tissue Microenvironment and Tumor of Chinese Academy of Sciences","award":["202002"],"award-info":[{"award-number":["202002"]}]},{"DOI":"10.13039\/501100007129","name":"Shandong Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["ZR2022MC072"],"award-info":[{"award-number":["ZR2022MC072"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Biochem Genet"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1007\/s10528-026-11345-x","type":"journal-article","created":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T09:31:49Z","timestamp":1772098309000},"page":"6420-6447","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Identification of Gene Signatures Differentiating Cancer from Normal Tissues Across Histological Classifications of Gastric Adenocarcinoma via Machine Learning Methods"],"prefix":"10.1007","volume":"64","author":[{"given":"Jingxin","family":"Ren","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianchao","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiyan","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Dong","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,26]]},"reference":[{"issue":"1","key":"11345_CR1","doi-asserted-by":"publisher","first-page":"17036","DOI":"10.1038\/nrdp.2017.36","volume":"3","author":"JA Ajani","year":"2017","unstructured":"Ajani JA et al (2017) Gastr Adenocarcinoma Nature Rev Dis Primers 3(1):17036","journal-title":"Gastr Adenocarcinoma Nature Rev Dis Primers"},{"key":"11345_CR2","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.molimm.2024.12.004","volume":"177","author":"Y Bao","year":"2025","unstructured":"Bao Y et al (2025) Recognizing SARS-CoV-2 infection of nasopharyngeal tissue at the single-cell level by machine learning method. Mol Immunol 177:44\u201361","journal-title":"Mol Immunol"},{"key":"11345_CR3","doi-asserted-by":"crossref","unstructured":"Bray F et al (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians, 68(6): p. 394\u2013424.","DOI":"10.3322\/caac.21492"},{"issue":"1","key":"11345_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5\u201332","journal-title":"Mach Learn"},{"issue":"2","key":"11345_CR5","doi-asserted-by":"publisher","first-page":"877","DOI":"10.4049\/jimmunol.166.2.877","volume":"166","author":"JJ Campbell","year":"2001","unstructured":"Campbell JJ et al (2001) CCR7 expression and memory T cell diversity in humans. J Immunol 166(2):877\u2013884","journal-title":"J Immunol"},{"issue":"19","key":"11345_CR6","doi-asserted-by":"publisher","first-page":"e3","DOI":"10.1200\/JCO.2009.22.0863","volume":"27","author":"I Chau","year":"2009","unstructured":"Chau I, Ashley S, Cunningham D (2009) Validation of the Royal Marsden hospital prognostic index in advanced esophagogastric cancer using individual patient data from the REAL 2 study. J Clin Oncol 27(19):e3-4","journal-title":"J Clin Oncol"},{"key":"11345_CR7","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla NV et al (2002) SMOTE: Synthetic minority over-sampling technique. J Artif Intell Res 16:321\u2013357","journal-title":"J Artif Intell Res"},{"issue":"1","key":"11345_CR8","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad450","volume":"25","author":"L Chen","year":"2024","unstructured":"Chen L, Chen Y (2024) RMTLysPTM: Recognizing multiple types of lysine PTM sites by deep analysis on sequences. Brief Bioinform 25(1):bbad450","journal-title":"Brief Bioinform"},{"issue":"12","key":"11345_CR9","doi-asserted-by":"publisher","first-page":"2420","DOI":"10.1007\/s12094-022-02913-9","volume":"24","author":"R Chen","year":"2022","unstructured":"Chen R et al (2022) Expression and potential role of CCL4 in CD8+ T cells in NSCLC. Clin Transl Oncol 24(12):2420\u20132431","journal-title":"Clin Transl Oncol"},{"key":"11345_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107862","volume":"169","author":"L Chen","year":"2024","unstructured":"Chen L, Xu J, Zhou Y (2024a) PDATC-NCPMKL: Predicting drug\u2019s Anatomical Therapeutic Chemical (ATC) codes based on network consistency projection and multiple kernel learning. Comput Biol Med 169:107862","journal-title":"Comput Biol Med"},{"issue":"5","key":"11345_CR11","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbae386","volume":"25","author":"L Chen","year":"2024","unstructured":"Chen L, Gu J, Zhou B (2024b) PMiSLocMF: predicting miRNA subcellular localizations by incorporating multi-source features of miRNAs. Brief Bioinform 25(5):bbae386","journal-title":"Brief Bioinform"},{"issue":"21","key":"11345_CR12","doi-asserted-by":"publisher","first-page":"12099","DOI":"10.1021\/acs.jcim.5c01968","volume":"65","author":"L Chen","year":"2025","unstructured":"Chen L, Chen Y, Zhou B (2025a) HCLAMCMI: Prediction of circRNA-miRNA interactions based on hypergraph contrastive learning and an attention mechanism. J Chem Inf Model 65(21):12099\u201312115","journal-title":"J Chem Inf Model"},{"key":"11345_CR13","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/s12859-025-06102-7","volume":"26","author":"L Chen","year":"2025","unstructured":"Chen L et al (2025b) Prediction of drug\u2019s anatomical therapeutic chemical (ATC) code by constructing biological profiles of ATC codes. BMC Bioinformatics 26:86","journal-title":"BMC Bioinformatics"},{"key":"11345_CR14","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-026-35110-7","author":"L Chen","year":"2026","unstructured":"Chen L, Xun X, Zhou B (2026) Root-associated protein prediction using a protein large language model and hypergraph convolutional networks. Sci Rep. https:\/\/doi.org\/10.1038\/s41598-026-35110-7","journal-title":"Sci Rep"},{"key":"11345_CR15","doi-asserted-by":"crossref","unstructured":"Chen L et al (2026) PLysPTM-HGNN: Predicting lysine PTM sites of proteins using hybrid graph neural networks. BMC Bioinformatics 27:32","DOI":"10.1186\/s12859-025-06356-1"},{"key":"11345_CR16","doi-asserted-by":"crossref","unstructured":"Chen L et al (2026) AntiCanNet: A Graph Convolution and Chemical LLM Framework for Predicting Anti-Cancer Small Molecules. Current Bioinformatics.","DOI":"10.2174\/0115748936434191260212112236"},{"key":"11345_CR17","doi-asserted-by":"crossref","unstructured":"Chen T, Guestrin C (2016) XGBoost: A Scalable Tree Boosting System. in The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Francisco, CA, USA: Association for Computing Machinery.","DOI":"10.1145\/2939672.2939785"},{"key":"11345_CR18","doi-asserted-by":"crossref","unstructured":"Chen L, Li J (2025) PDTDAHN: Predicting drug-target-disease associations using a heterogeneous network. Current Bioinformatics, p. in press","DOI":"10.2174\/0115748936359702250120114240"},{"issue":"3","key":"11345_CR19","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1023\/A:1022627411411","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273\u2013297","journal-title":"Mach Learn"},{"issue":"1","key":"11345_CR20","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T Cover","year":"1967","unstructured":"Cover T, Hart P (1967) Nearest neighbor pattern classification. IEEE Trans Inf Theory 13(1):21\u201327","journal-title":"IEEE Trans Inf Theory"},{"key":"11345_CR21","unstructured":"cSurvival (ubc.ca). Available from: https:\/\/tau.cmmt.ubc.ca\/cSurvival\/."},{"key":"11345_CR22","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.canlet.2017.10.011","volume":"412","author":"K Das","year":"2018","unstructured":"Das K et al (2018) Genomic predictors of chemotherapy efficacy in advanced or recurrent gastric cancer in the GC0301\/TOP002 phase III clinical trial. Cancer Lett 412:208\u2013215","journal-title":"Cancer Lett"},{"issue":"Suppl 1","key":"11345_CR23","first-page":"S140","volume":"11","author":"F Dokhaee","year":"2018","unstructured":"Dokhaee F et al (2018) Evaluation of GKN1 and GKN2 gene expression as a biomarker of gastric cancer. Gastroenterol Hepatol Bed Bench 11(Suppl 1):S140","journal-title":"Gastroenterol Hepatol Bed Bench"},{"key":"11345_CR24","unstructured":"Dorogush A, Ershov V, Gulin A (2018) CatBoost: gradient boosting with categorical features support. arXiv preprint, 2018."},{"issue":"12","key":"11345_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v085.i12","volume":"85","author":"M Drami\u0144ski","year":"2018","unstructured":"Drami\u0144ski M, Koronacki J (2018) rmcfs: An R package for Monte Carlo feature selection and interdependency discovery. J Stat Softw 85(12):1\u201328","journal-title":"J Stat Softw"},{"issue":"2","key":"11345_CR26","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s10120-016-0602-8","volume":"20","author":"P Du","year":"2017","unstructured":"Du P et al (2017) Expression of chemokine receptor CCR7 is a negative prognostic factor for patients with gastric cancer: a meta-analysis. Gastric Cancer 20(2):235\u2013245","journal-title":"Gastric Cancer"},{"issue":"1","key":"11345_CR27","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1172\/JCI114984","volume":"87","author":"C d'Urso","year":"1991","unstructured":"d\u2019Urso C et al (1991) Lack of HLA class I antigen expression by cultured melanoma cells FO-1 due to a defect in B2m gene expression. J Clin Invest 87(1):284\u2013292","journal-title":"J Clin Invest"},{"issue":"9","key":"11345_CR28","doi-asserted-by":"publisher","DOI":"10.1172\/jci.insight.151847","volume":"7","author":"S Felker","year":"2022","unstructured":"Felker S et al (2022) Differential CXCR4 expression on hematopoietic progenitor cells versus stem cells directs homing and engraftment. JCI Insight 7(9):e151847","journal-title":"JCI Insight"},{"issue":"5","key":"11345_CR29","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1038\/nm1764","volume":"14","author":"G Finak","year":"2008","unstructured":"Finak G et al (2008) Stromal gene expression predicts clinical outcome in breast cancer. Nat Med 14(5):518\u2013527","journal-title":"Nat Med"},{"key":"11345_CR30","doi-asserted-by":"crossref","unstructured":"Freytag S et al (2018) Comparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing data. F1000Research. 7: p. 1297.","DOI":"10.12688\/f1000research.15809.1"},{"issue":"24","key":"11345_CR31","doi-asserted-by":"publisher","first-page":"13784","DOI":"10.1073\/pnas.241500798","volume":"98","author":"ME Garber","year":"2001","unstructured":"Garber ME et al (2001) Diversity of gene expression in adenocarcinoma of the lung. Proc Natl Acad Sci U S A 98(24):13784\u201313789","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"5","key":"11345_CR32","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.compbiolchem.2004.09.006","volume":"28","author":"J Gorodkin","year":"2004","unstructured":"Gorodkin J (2004) Comparing two K-category assignments by a K-category correlation coefficient. Comput Biol Chem 28(5):367\u2013374","journal-title":"Comput Biol Chem"},{"issue":"2","key":"11345_CR33","doi-asserted-by":"publisher","DOI":"10.1136\/esmoopen-2017-000213","volume":"2","author":"C Granier","year":"2017","unstructured":"Granier C et al (2017) Mechanisms of action and rationale for the use of checkpoint inhibitors in cancer. ESMO Open 2(2):e000213","journal-title":"ESMO Open"},{"issue":"1","key":"11345_CR34","doi-asserted-by":"publisher","first-page":"1844402","DOI":"10.1080\/2162402X.2020.1844402","volume":"9","author":"Y Gu","year":"2020","unstructured":"Gu Y et al (2020) Intratumoral CD103+ CD4+ T cell infiltration defines immunoevasive contexture and poor clinical outcomes in gastric cancer patients. Oncoimmunology 9(1):1844402","journal-title":"Oncoimmunology"},{"issue":"3","key":"11345_CR35","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1053\/j.gastro.2006.04.026","volume":"131","author":"Y Hao","year":"2006","unstructured":"Hao Y et al (2006) Gene expression profiling reveals stromal genes expressed in common between Barrett\u2019s esophagus and adenocarcinoma. Gastroenterology 131(3):925\u2013933","journal-title":"Gastroenterology"},{"issue":"9","key":"11345_CR36","doi-asserted-by":"publisher","first-page":"3129","DOI":"10.1002\/cam4.3828","volume":"10","author":"Q Hu","year":"2021","unstructured":"Hu Q et al (2021) Cytolytic activity score as a biomarker for antitumor immunity and clinical outcome in patients with gastric cancer. Cancer Med 10(9):3129\u20133138","journal-title":"Cancer Med"},{"issue":"76","key":"11345_CR37","first-page":"1025","volume":"54","author":"S Ishigami","year":"2007","unstructured":"Ishigami S et al (2007) Prognostic value of CCR7 expression in gastric cancer. Hepatogastroenterology 54(76):1025\u20131028","journal-title":"Hepatogastroenterology"},{"key":"11345_CR38","doi-asserted-by":"publisher","first-page":"52","DOI":"10.21037\/tgh.2020.01.02","volume":"5","author":"P Iyer","year":"2020","unstructured":"Iyer P et al (2020) Diffuse gastric cancer: histologic, molecular, and genetic basis of disease. Transl Gastroenterol Hepatol 5:52","journal-title":"Transl Gastroenterol Hepatol"},{"key":"11345_CR39","first-page":"3146","volume":"30","author":"G Ke","year":"2017","unstructured":"Ke G et al (2017) Lightgbm: A highly efficient gradient boosting decision tree. Adv Neural Inf Process Syst 30:3146\u20133154","journal-title":"Adv Neural Inf Process Syst"},{"issue":"1","key":"11345_CR40","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1161\/ATVBAHA.109.197442","volume":"30","author":"M Keophiphath","year":"2010","unstructured":"Keophiphath M et al (2010) CCL5 promotes macrophage recruitment and survival in human adipose tissue. Arterioscler Thromb Vasc Biol 30(1):39\u201345","journal-title":"Arterioscler Thromb Vasc Biol"},{"key":"11345_CR41","unstructured":"Kohavi R (1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. inInternational joint Conference on artificial intelligence. Montreal Quebec, Canada: Lawrence Erlbaum Associates Ltd."},{"key":"11345_CR42","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.clinimag.2019.03.002","volume":"56","author":"BR Korivi","year":"2019","unstructured":"Korivi BR et al (2019) Intestinal and diffuse gastric cancer: a retrospective study comparing primary sites. Clin Imaging 56:33\u201340","journal-title":"Clin Imaging"},{"issue":"11","key":"11345_CR43","doi-asserted-by":"publisher","first-page":"1652","DOI":"10.1038\/labinvest.2011.117","volume":"91","author":"MJ Kwon","year":"2011","unstructured":"Kwon MJ et al (2011) Claudin-4 overexpression is associated with epigenetic derepression in gastric carcinoma. Lab Invest 91(11):1652\u20131667","journal-title":"Lab Invest"},{"issue":"1","key":"11345_CR44","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1111\/apm.1965.64.1.31","volume":"64","author":"P Lauren","year":"1965","unstructured":"Lauren P (1965) The two histological main types of gastric carcinoma: diffuse and so-called intestinal-type carcinoma: an attempt at a histo-clinical classification. Acta Pathol Microbiol Scand 64(1):31\u201349","journal-title":"Acta Pathol Microbiol Scand"},{"key":"11345_CR45","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/s00261-011-9780-3","volume":"37","author":"MH Lee","year":"2012","unstructured":"Lee MH et al (2012) Gastric cancer: imaging and staging with MDCT based on the 7th AJCC guidelines. Abdom Imaging 37:531\u2013540","journal-title":"Abdom Imaging"},{"key":"11345_CR46","unstructured":"Lee H et al (2020) Single cell RNA-seq reveals immunosuppressive gastric stem-like cancer cells as a poor prognostic factor. bioRxiv."},{"issue":"1","key":"11345_CR47","doi-asserted-by":"publisher","first-page":"739","DOI":"10.4238\/2015.January.30.17","volume":"14","author":"F Li","year":"2015","unstructured":"Li F et al (2015) Differential microRNA expression in signet-ring cell carcinoma compared with tubular adenocarcinoma of human gastric cancer. Genet Mol Res 14(1):739\u2013747","journal-title":"Genet Mol Res"},{"key":"11345_CR48","doi-asserted-by":"publisher","DOI":"10.3389\/fmolb.2022.952626","volume":"9","author":"H Li","year":"2022","unstructured":"Li H et al (2022a) Identification of COVID-19-specific immune markers using a machine learning method. Front Mol Biosci 9:952626","journal-title":"Front Mol Biosci"},{"key":"11345_CR49","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2022.880997","volume":"13","author":"Z Li","year":"2022","unstructured":"Li Z et al (2022b) Identifying key MicroRNA signatures for neurodegenerative diseases with machine learning methods. Front Genet 13:880997","journal-title":"Front Genet"},{"issue":"16","key":"11345_CR50","doi-asserted-by":"publisher","first-page":"5814","DOI":"10.1073\/pnas.0402870102","volume":"102","author":"Y Liang","year":"2005","unstructured":"Liang Y et al (2005) Gene expression profiling reveals molecularly and clinically distinct subtypes of glioblastoma multiforme. Proc Natl Acad Sci U S A 102(16):5814\u20135819","journal-title":"Proc Natl Acad Sci U S A"},{"key":"11345_CR51","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.cancergen.2024.12.004","volume":"290\u2013291","author":"H Liao","year":"2025","unstructured":"Liao H et al (2025) Machine learning analysis of CD4+ T cell gene expression in diverse diseases: insights from cancer, metabolic, respiratory, and digestive disorders. Cancer Genet 290\u2013291:56\u201360","journal-title":"Cancer Genet"},{"issue":"9","key":"11345_CR52","doi-asserted-by":"publisher","first-page":"1072","DOI":"10.1080\/00365521.2020.1795923","volume":"55","author":"W Liu","year":"2020","unstructured":"Liu W, Li M (2020) The role of claudin-4 in the development of gastric cancer. Scand J Gastroenterol 55(9):1072\u20131078","journal-title":"Scand J Gastroenterol"},{"issue":"3","key":"11345_CR53","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1023\/A:1008363719778","volume":"9","author":"HA Liu","year":"1998","unstructured":"Liu HA, Setiono R (1998) Incremental feature selection. Appl Intell 9(3):217\u2013230","journal-title":"Appl Intell"},{"key":"11345_CR54","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2022.1053772","volume":"13","author":"J Lu","year":"2022","unstructured":"Lu J et al (2022) Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8(+) T cells. Front Genet 13:1053772","journal-title":"Front Genet"},{"issue":"27","key":"11345_CR55","doi-asserted-by":"publisher","first-page":"24348","DOI":"10.18632\/oncotarget.4484","volume":"6","author":"H Ma","year":"2015","unstructured":"Ma H et al (2015) CCR7 enhances TGF-\u03b21-induced epithelial-mesenchymal transition and is associated with lymph node metastasis and poor overall survival in gastric cancer. Oncotarget 6(27):24348\u201324360","journal-title":"Oncotarget"},{"key":"11345_CR56","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.cancergen.2026.01.003","volume":"302\u2013303","author":"Q Ma","year":"2026","unstructured":"Ma Q et al (2026) Identifying transcriptional signatures of leukocytes in tissue and blood for multicancer diagnosis by using machine learning methods. Cancer Genet 302\u2013303:13\u201326","journal-title":"Cancer Genet"},{"issue":"2","key":"11345_CR57","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1016\/0005-2795(75)90109-9","volume":"405","author":"BW Matthews","year":"1975","unstructured":"Matthews BW (1975) Comparison of the predicted and observed secondary structure of T4 phage lysozyme. Biochim Biophys Acta 405(2):442\u2013451","journal-title":"Biochim Biophys Acta"},{"issue":"17","key":"11345_CR58","doi-asserted-by":"publisher","first-page":"6960","DOI":"10.18632\/aging.102231","volume":"11","author":"L-B Meng","year":"2019","unstructured":"Meng L-B et al (2019) TPM2 as a potential predictive biomarker for atherosclerosis. Aging (Albany NY) 11(17):6960","journal-title":"Aging (Albany NY)"},{"issue":"1","key":"11345_CR59","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-020-01636-3","volume":"4","author":"B Molenaar","year":"2021","unstructured":"Molenaar B et al (2021) Single-cell transcriptomics following ischemic injury identifies a role for B2M in cardiac repair. Commun Biol 4(1):146","journal-title":"Commun Biol"},{"issue":"1","key":"11345_CR60","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1111\/j.1349-7006.2009.01384.x","volume":"101","author":"Y Morita","year":"2010","unstructured":"Morita Y et al (2010) Imaging mass spectrometry of gastric carcinoma in formalin-fixed paraffin-embedded tissue microarray. Cancer Sci 101(1):267\u2013273","journal-title":"Cancer Sci"},{"issue":"13","key":"11345_CR61","doi-asserted-by":"publisher","first-page":"4161","DOI":"10.1158\/1078-0432.CCR-07-4381","volume":"14","author":"SF Moss","year":"2008","unstructured":"Moss SF et al (2008) Decreased expression of gastrokine 1 and the trefoil factor interacting protein TFIZ1\/GKN2 in gastric cancer: influence of tumor histology and relationship to prognosis. Clin Cancer Res 14(13):4161\u20134167","journal-title":"Clin Cancer Res"},{"key":"11345_CR62","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-3-030-36667-4_3","volume-title":"Tumor microenvironment: the role of chemokines\u2013Part A","author":"N Mukaida","year":"2020","unstructured":"Mukaida N, Sasaki S-i, Baba T (2020) Ccl4 signaling in the tumor microenvironment. Tumor microenvironment: the role of chemokines\u2013Part A. pp 23\u201332"},{"issue":"8","key":"11345_CR63","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1111\/j.1349-7006.1996.tb02109.x","volume":"87","author":"H Muta","year":"1996","unstructured":"Muta H et al (1996) E-cadherin gene mutations in signet ring cell carcinoma of the stomach. Jpn J Cancer Res 87(8):843\u2013848","journal-title":"Jpn J Cancer Res"},{"issue":"5","key":"11345_CR64","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1038\/s41571-024-00874-2","volume":"21","author":"I Nakayama","year":"2024","unstructured":"Nakayama I et al (2024) Claudin 18.2 as a novel therapeutic target. Nat Rev Clin Oncol 21(5):354\u2013369","journal-title":"Nat Rev Clin Oncol"},{"key":"11345_CR65","doi-asserted-by":"publisher","DOI":"10.1016\/j.biocel.2023.106452","volume":"162","author":"X Ning","year":"2023","unstructured":"Ning X et al (2023) Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately. Int J Biochem Cell Biol 162:106452","journal-title":"Int J Biochem Cell Biol"},{"issue":"5","key":"11345_CR66","doi-asserted-by":"publisher","first-page":"640","DOI":"10.3390\/biom11050640","volume":"11","author":"M Nizio\u0142","year":"2021","unstructured":"Nizio\u0142 M et al (2021) Immunohistochemical analysis of the expression of adhesion proteins: TNS1, TNS2 and TNS3 in correlation with clinicopathological parameters in gastric cancer. Biomolecules 11(5):640","journal-title":"Biomolecules"},{"issue":"2","key":"11345_CR67","first-page":"803","volume":"9","author":"J Ouyang","year":"2017","unstructured":"Ouyang J et al (2017) GKN2 increases apoptosis, reduces the proliferation and invasion ability of gastric cancer cells through down-regulating the JAK\/STAT signaling pathway. Am J Transl Res 9(2):803","journal-title":"Am J Transl Res"},{"key":"11345_CR68","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1007\/s00428-010-0916-6","volume":"456","author":"S-Y Park","year":"2010","unstructured":"Park S-Y et al (2010) Mixed-type gastric cancer and its association with high-frequency CpG island hypermethylation. Virchows Arch 456:625\u2013633","journal-title":"Virchows Arch"},{"issue":"8","key":"11345_CR69","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng H, Long F, Ding C (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226\u20131238","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"11345_CR70","first-page":"37","volume":"2","author":"D Powers","year":"2011","unstructured":"Powers D (2011) Evaluation: From precision, recall and f-measure to roc., informedness, markedness & correlation. J Mach Learn Technol 2(1):37\u201363","journal-title":"J Mach Learn Technol"},{"key":"11345_CR71","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2024.1435334","volume":"15","author":"C Qian","year":"2024","unstructured":"Qian C et al (2024) Mucosal microbiota characterization in gastric cancer identifies immune-activated-related transcripts relevant gastric microbiome signatures. Front Immunol 15:1435334","journal-title":"Front Immunol"},{"issue":"1","key":"11345_CR72","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1186\/1479-5876-11-58","volume":"11","author":"M-Z Qiu","year":"2013","unstructured":"Qiu M-Z et al (2013) Clinicopathological characteristics and prognostic analysis of Lauren classification in gastric adenocarcinoma in China. J Transl Med 11(1):58","journal-title":"J Transl Med"},{"issue":"10","key":"11345_CR73","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1002\/bjs.10895","volume":"105","author":"J Ranstam","year":"2018","unstructured":"Ranstam J, Cook J (2018) LASSO regression. J Brit Surg 105(10):1348\u20131348","journal-title":"J Brit Surg"},{"key":"11345_CR74","doi-asserted-by":"crossref","unstructured":"Ren J et al (2026) Identification of Gene Signatures Associated with Multisystem Inflammatory Syndrome in Children after SARS-CoV-2 Infection. Current Bioinformatics.","DOI":"10.2174\/0115748936408819251114062606"},{"issue":"1","key":"11345_CR75","first-page":"147","volume":"6","author":"J Rodriguez","year":"2000","unstructured":"Rodriguez J et al (2000) Serum \u03b2-2 microglobulin levels are a significant prognostic factor in Philadelphia chromosome-positive chronic myelogenous leukemia. Clin Cancer Res 6(1):147\u2013152","journal-title":"Clin Cancer Res"},{"issue":"3","key":"11345_CR76","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1109\/21.97458","volume":"21","author":"SR Safavian","year":"1991","unstructured":"Safavian SR, Landgrebe D (1991) A survey of decision tree classifier methodology. IEEE Trans Syst Man Cybern 21(3):660\u2013674","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"9","key":"11345_CR77","doi-asserted-by":"publisher","first-page":"5153","DOI":"10.4049\/jimmunol.176.9.5153","volume":"176","author":"N S\u00e1nchez-S\u00e1nchez","year":"2006","unstructured":"S\u00e1nchez-S\u00e1nchez N, Riol-Blanco L, Rodr\u00edguez-Fern\u00e1ndez JL (2006) The multiple personalities of the chemokine receptor CCR7 in dendritic cells. J Immunol 176(9):5153\u20135159","journal-title":"J Immunol"},{"issue":"30","key":"11345_CR78","doi-asserted-by":"publisher","first-page":"5076","DOI":"10.3748\/wjg.v27.i30.5076","volume":"27","author":"L Shamoun","year":"2021","unstructured":"Shamoun L et al (2021) Association of gene and protein expression and genetic polymorphism of CC chemokine ligand 4 in colorectal cancer. World J Gastroenterol 27(30):5076","journal-title":"World J Gastroenterol"},{"issue":"3","key":"11345_CR79","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1053\/j.gastro.2009.11.005","volume":"138","author":"JJ Smith","year":"2010","unstructured":"Smith JJ et al (2010) Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer. Gastroenterology 138(3):958\u2013968","journal-title":"Gastroenterology"},{"issue":"5","key":"11345_CR80","first-page":"272","volume":"63","author":"T S\u00f6derblom","year":"1996","unstructured":"S\u00f6derblom T et al (1996) Pleural fluid beta-2-microglobulin and angiotensin-converting enzyme concentrations in rheumatoid arthritis and tuberculosis. Respiration 63(5):272\u2013276","journal-title":"Respiration"},{"issue":"1","key":"11345_CR81","doi-asserted-by":"publisher","first-page":"77","DOI":"10.15403\/jgld.2014.1121.sus","volume":"24","author":"S Susman","year":"2015","unstructured":"Susman S et al (2015) The Lauren classification highlights the role of epithelialto-mesenchymal transition in gastric carcinogenesis: an immunohistochemistry study of the STAT3 and adhesion molecules expression. J Gastrointestin Liver Dis 24(1):77\u201383","journal-title":"J Gastrointestin Liver Dis"},{"issue":"2","key":"11345_CR82","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1053\/j.gastro.2011.04.042","volume":"141","author":"IB Tan","year":"2011","unstructured":"Tan IB et al (2011) Intrinsic subtypes of gastric cancer, based on gene expression pattern, predict survival and respond differently to chemotherapy. Gastroenterology 141(2):476-485. e11","journal-title":"Gastroenterology"},{"issue":"7","key":"11345_CR83","doi-asserted-by":"publisher","DOI":"10.1042\/BSR20201604","volume":"40","author":"W Tang","year":"2020","unstructured":"Tang W, Cao Y, Ma X (2020) Novel prognostic prediction model constructed through machine learning on the basis of methylation-driven genes in kidney renal clear cell carcinoma. Biosci Rep 40(7):BSR20201604","journal-title":"Biosci Rep"},{"issue":"11","key":"11345_CR84","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1136\/ard.48.11.905","volume":"48","author":"M Walters","year":"1989","unstructured":"Walters M et al (1989) Comparison of serum and synovial fluid concentrations of beta 2-microglobulin and C reactive protein in relation to clinical disease activity and synovial inflammation in rheumatoid arthritis. Ann Rheum Dis 48(11):905\u2013911","journal-title":"Ann Rheum Dis"},{"issue":"9","key":"11345_CR85","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1038\/nsmb.2660","volume":"20","author":"L Yan","year":"2013","unstructured":"Yan L et al (2013) Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells. Nat Struct Mol Biol 20(9):1131\u20131139","journal-title":"Nat Struct Mol Biol"},{"issue":"1","key":"11345_CR86","doi-asserted-by":"publisher","first-page":"141113","DOI":"10.1016\/j.bbapap.2025.141113","volume":"1874","author":"F Yuan","year":"2026","unstructured":"Yuan F et al (2026) Integrative multi-omics machine learning reveals novel driver genes associations in lung adenocarcinoma. Biochimica Et Biophysica Acta (BBA) - Proteins and Proteomics 1874(1):141113","journal-title":"Biochimica Et Biophysica Acta (BBA) - Proteins and Proteomics"},{"issue":"D1","key":"11345_CR87","doi-asserted-by":"publisher","first-page":"D721","DOI":"10.1093\/nar\/gky900","volume":"47","author":"X Zhang","year":"2019","unstructured":"Zhang X et al (2019) Cell marker: a manually curated resource of cell markers in human and mouse. Nucleic Acids Res 47(D1):D721\u2013D728","journal-title":"Nucleic Acids Res"}],"container-title":["Biochemical Genetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10528-026-11345-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10528-026-11345-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10528-026-11345-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T09:02:49Z","timestamp":1788685369000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10528-026-11345-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,26]]},"references-count":87,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["11345"],"URL":"https:\/\/doi.org\/10.1007\/s10528-026-11345-x","relation":{},"ISSN":["0006-2928","1573-4927"],"issn-type":[{"value":"0006-2928","type":"print"},{"value":"1573-4927","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,26]]},"assertion":[{"value":"9 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 February 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 February 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}}]}}