Establishment and evaluation of module-based immune-associated gene signature to predict overall survival in patients of colon adenocarcinoma

Journal of Biomedical Science

Research

Jing Lu¹  Francesco Annunziata¹  Lisa Adam¹  Huahui Li¹  Anna Krepelova¹  Dovydas Sirvinskas¹  Omid Omrani¹  Seyed Mohammad Mahdi Rasa¹  Francesco Neri² 

[1] Leibniz Institute on Aging, Fritz Lipmann Institute (FLI), Jena, Germany;Leibniz Institute on Aging, Fritz Lipmann Institute (FLI), Jena, Germany;Life Sciences and Systems Biology Department, University of Torino, MBC, via Nizza 52, 10126, Turin, Italy;

关键词: Colon adenocarcinoma;    Immune tumor microenvironment;    Prognosis;    Risk model;    Cancer inflammation;    NCOA7;    Immunoglobulin;   

DOI  :  10.1186/s12929-022-00867-2

 received in 2022-07-13, accepted in 2022-10-04,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundPatients with colon adenocarcinoma (COAD) exhibit significant heterogeneity in overall survival. The current tumor-node-metastasis staging system is insufficient to provide a precise prediction for prognosis. Identification and evaluation of new risk models by using big cancer data may provide a good way to identify prognosis-related signature.MethodsWe integrated different datasets and applied bioinformatic and statistical methods to construct a robust immune-associated risk model for COAD prognosis. Furthermore, a nomogram was constructed based on the gene signature and clinicopathological features to improve risk stratification and quantify risk assessment for individual patients.ResultsThe immune-associated risk model discriminated high-risk patients in our investigated and validated cohorts. Survival analyses demonstrated that our gene signature served as an independent risk factor for overall survival and the nomogram exhibited high accuracy. Functional analysis interpreted the correlation between our risk model and its role in prognosis by classifying groups with different immune activities. Remarkably, patients in the low-risk group showed higher immune activity, while those in the high-risk group displayed a lower immune activity.ConclusionsOur study provides a novel tool that may contribute to the optimization of risk stratification for survival and personalized management of COAD.Graphical Abstract

【 授权许可】

CC BY   
© The Author(s) 2022

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