{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12(28)"],"submitter":["Ding Y"],"pubmed_abstract":["Alpha-fetoprotein-producing gastric cancer (AFPGC) is a rare but highly aggressive subtype of gastric cancer. Patients with AFPGC are at high risk of liver metastasis, and the tumor microenvironment (TME) is complex. A multicenter retrospective study is conducted from January 2011 to December 2021 and included 317 AFPGC patients. Using a multivariable logistic regression model, a nomogram for predicting liver metastasis is built. By combining AFP and the neutrophil-lymphocyte ratio (NLR), we developed a novel and easily applicable predictive indicator, termed ANLiM score, for liver metastasis in AFPGC. An integrated multi-omics analysis, including whole-exome sequencing and proteomic analysis, is conducted and revealed an immunosuppressive TME in AFPGC with liver metastasis. Single-cell RN"],"journal":["Advanced science (Weinheim, Baden-Wurttemberg, Germany)"],"pagination":["e03499"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12302549"],"repository":["biostudies-literature"],"pubmed_title":["Blood Biomarker-Based Predictive Indicator for Liver Metastasis in Alpha-Fetoprotein-Producing Gastric Cancer and Multi-Omics Tumor Microenvironment Insights."],"pmcid":["PMC12302549"],"pubmed_authors":["Jiang J","Hu S","Zhang J","Lu Y","Zhang H","Wang H","Wang J","Zheng J","Ding Y","Wang Q","Chen Y","Shen X","Yu X","Kong M","He C","Xu N","Teng F","Xu H","Chen B","Zhou Z","Teng L","Ruan J","Tou L","Lu J","Zhu S"],"additional_accession":[]},"is_claimable":false,"name":"Blood Biomarker-Based Predictive Indicator for Liver Metastasis in Alpha-Fetoprotein-Producing Gastric Cancer and Multi-Omics Tumor Microenvironment Insights.","description":"Alpha-fetoprotein-producing gastric cancer (AFPGC) is a rare but highly aggressive subtype of gastric cancer. Patients with AFPGC are at high risk of liver metastasis, and the tumor microenvironment (TME) is complex. A multicenter retrospective study is conducted from January 2011 to December 2021 and included 317 AFPGC patients. Using a multivariable logistic regression model, a nomogram for predicting liver metastasis is built. By combining AFP and the neutrophil-lymphocyte ratio (NLR), we developed a novel and easily applicable predictive indicator, termed ANLiM score, for liver metastasis in AFPGC. An integrated multi-omics analysis, including whole-exome sequencing and proteomic analysis, is conducted and revealed an immunosuppressive TME in AFPGC with liver metastasis. Single-cell RN","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2026-03-27T16:02:47.891Z","creation":"2025-08-27T03:06:56.401Z"},"accession":"S-EPMC12302549","cross_references":{"pubmed":["40433893"],"doi":["10.1002/advs.202503499"]}}