{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(1)"],"submitter":["Li X"],"funding":["National Natural Science Foundation of China"],"journal":["Scientific reports"],"pagination":["3685"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12852111"],"repository":["biostudies-literature"],"pubmed_title":["Integrated single-cell and machine learning analysis identifies PMAIP1 as a novel biomarker for predicting prognosis and immunotherapy response in colorectal cancer."],"pmcid":["PMC12852111"],"funding_grant_id":["82360529"],"pubmed_authors":["Li X","Ding S","Chen J","Hu Z","Zhang H","Cai Z","Gao J","Wang Y","Wu Y"],"additional_accession":[]},"is_claimable":false,"name":"Integrated single-cell and machine learning analysis identifies PMAIP1 as a novel biomarker for predicting prognosis and immunotherapy response in colorectal cancer.","description":null,"dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-16T03:09:35.637Z","creation":"2026-06-16T03:06:53.945Z"},"accession":"S-EPMC12852111","cross_references":{"pubmed":["41436831"],"doi":["10.1038/s41598-025-32933-8"]}}