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Identification and validation of 12 immune‐related genes as a prognostic signature for colon adenocarcinoma
Author(s) -
Tang Dongxin,
Huang Wei,
Yang Zhu,
Wu Xin,
Sang Xianan,
Wang Kuilong,
Cao Gang
Publication year - 2021
Publication title -
journal of biochemical and molecular toxicology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.526
H-Index - 58
eISSN - 1099-0461
pISSN - 1095-6670
DOI - 10.1002/jbt.22852
Subject(s) - nomogram , colorectal cancer , proportional hazards model , oncology , medicine , gene signature , multivariate analysis , adenocarcinoma , survival analysis , gene , multivariate statistics , cancer , biology , gene expression , computer science , genetics , machine learning
Colon adenocarcinoma (COAD) is a common malignant tumor of the digestive tract that threatens human health seriously. Thus, it is urgent to explore biomarkers that can be used to evaluate a patient's survival prognosis overall as a supplementary treatment. RNA‐seq expression profiles were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus, and Lasso and multivariate Cox regression analyses were used for developing the prognostic model. Finally, a nomogram comprising the prognostic model was established to evaluate survival overall. A risk model comprised of a total of 12 immune‐related gene pairs was constructed. Further analysis revealed the model's independent prognostic ability in relation to other clinical characteristics. This model's nomogram could help clinicians choose personalized treatment for COAD patients. This model has significant potential to complement COAD's clinical identifying characteristics, and also provide new insights into the identification of colon cancer patients with a high risk of death.