Construction of a risk scoring model based on machine learning and validation of the role of the key gene SERPINE1 in the progression of colon cancer.

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Bibliographic Details
Title: Construction of a risk scoring model based on machine learning and validation of the role of the key gene SERPINE1 in the progression of colon cancer.
Authors: Li X; Department of Head and Neck Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, China., Li N; Department of Colorectal Surgery, The Second Affliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China., Wang Y; Department of Colorectal Surgery, The Second Affliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China., Han Q; Department of Colorectal Surgery, The Second Affliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China., Li X; Department of Colorectal Surgery, The Second Affliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China., Tu Q; Department of Colorectal Surgery, The Second Affliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China., Sun B; Department of Colorectal Surgery, The Second Affliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China., Yang H; Department of General Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150001, China. yanghao@hrbmu.edu.cn., Gao Y; Department of Head and Neck Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, China. yuan.gao@hrbmu.edu.cn.
Source: Cancer cell international [Cancer Cell Int] 2026 May 05; Vol. 26 (1). Date of Electronic Publication: 2026 May 05.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101139795 Publication Model: Electronic Cited Medium: Print ISSN: 1475-2867 (Print) Linking ISSN: 14752867 NLM ISO Abbreviation: Cancer Cell Int Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1475-2867
DOI:10.1186/s12935-026-04322-2