{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13(10)"],"submitter":["Shi Y"],"pubmed_abstract":["<b>Background</b>: Breast cancer remains a predominant malignancy among females globally, and the tumor microenvironment (TME) exerts a pivotal role in its progression. Despite notable advancements in diagnostic and therapeutic modalities, resistance to conventional therapies persists as a critical hurdle, underscoring the necessity of exploring TME-related prognostic biomarkers. <b>Methods</b>: To elucidate the role of the TME in breast cancer progression and identify potential prognostic biomarkers, we analyzed RNA-seq data from 1081 breast cancer cases and 99 normal controls to assess tumor-infiltrating immune cells (TICs) and stromal components. Differential gene expression analysis identified genes correlated with ImmuneScore and StromalScore. A protein-protein interaction (PPI) netwo"],"journal":["Biomedicines"],"pagination":["2366"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12561060"],"repository":["biostudies-literature"],"pubmed_title":["Comprehensive Analysis of JCHAIN as a Potential Prognostic Factor for Breast Cancer and an Indicator for Tumor Microenvironment."],"pmcid":["PMC12561060"],"pubmed_authors":["Li W","Wu M","Chen K","Xu C","Zhu X","Lin L","Shi Y"],"additional_accession":[]},"is_claimable":false,"name":"Comprehensive Analysis of JCHAIN as a Potential Prognostic Factor for Breast Cancer and an Indicator for Tumor Microenvironment.","description":"<b>Background</b>: Breast cancer remains a predominant malignancy among females globally, and the tumor microenvironment (TME) exerts a pivotal role in its progression. Despite notable advancements in diagnostic and therapeutic modalities, resistance to conventional therapies persists as a critical hurdle, underscoring the necessity of exploring TME-related prognostic biomarkers. <b>Methods</b>: To elucidate the role of the TME in breast cancer progression and identify potential prognostic biomarkers, we analyzed RNA-seq data from 1081 breast cancer cases and 99 normal controls to assess tumor-infiltrating immune cells (TICs) and stromal components. Differential gene expression analysis identified genes correlated with ImmuneScore and StromalScore. A protein-protein interaction (PPI) netwo","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-05-13T14:49:33.008Z","creation":"2026-05-13T14:29:20.713Z"},"accession":"S-EPMC12561060","cross_references":{"pubmed":["41153653"],"doi":["10.3390/biomedicines13102366"]}}