Integrated Analysis Identifies an Anoikis-Related Gene Signature for Predicting Prognosis in Patients With Triple-Negative Breast Cancer.

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Title: Integrated Analysis Identifies an Anoikis-Related Gene Signature for Predicting Prognosis in Patients With Triple-Negative Breast Cancer.
Authors: Xue B; Department of Pathology, Affiliated Hospital of Jining Medical University, Jining, China., Bai Y; Department of Pathology, Affiliated Hospital of Jining Medical University, Jining, China.; School of Clinical Medicine, Jining Medical University, Jining, China., Yang WD; Department of Pathology, Affiliated Hospital of Jining Medical University, Jining, China.; Department of Pathology, Shandong Public Health Clinical Center, Jinan, China., Li SZ; Department of Pathology, Affiliated Hospital of Jining Medical University, Jining, China.; School of Clinical Medicine, Jining Medical University, Jining, China., Qin R; Department of Pathology, Affiliated Hospital of Jining Medical University, Jining, China., Zhang H; Department of Pathology, Yantai Yuhuangding Hospital, Yantai, China., Wu HF; Department of Vascular Surgery, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China., Li JJ; State Key Laboratory of Systems Medicine for Cancer, Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Miao S; Department of Pathology, Affiliated Hospital of Jining Medical University, Jining, China.
Source: IET systems biology [IET Syst Biol] 2026 Jan-Dec; Vol. 20 (1), pp. e70076.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 101301198 Publication Model: Print Cited Medium: Internet ISSN: 1751-8857 (Electronic) Linking ISSN: 17518849 NLM ISO Abbreviation: IET Syst Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1751-8857
DOI:10.1049/syb2.70076