Identification of subtypes of liver cancer and construction of prognostic model based on necrosis-related genes
10.3969/j.issn.1009-9905.2024.09.001
- VernacularTitle:基于坏死性凋亡基因鉴定肝癌亚型并构建预后模型
- Author:
Ya-Zhen MAO
1
;
Hong-Quan CHEN
;
Yong CHEN
;
Yuan-Lin QI
Author Information
1. 福州市第一总医院 检验科(福建 福州 350009)
- Keywords:
Necrosis;
Liver cancer;
Prediction model;
TCGA
- From:
Chinese Journal of Current Advances in General Surgery
2024;27(9):673-677
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct and verify a prognostic model based on Necroptosis genes(NEGs)in liver cancer.Methods:Through unsupervised clustering analysis in liver cancer patients from TCGA and ICGC databases,67 NEGs were grouped into two clusters.The differ-ences in prognosis between clusters were explored.Prognosis-related genes were selected through single-factor Cox regression analysis.A prognostic model was built using clustering analy-sis and multi-factor Cox regression,and the model's accuracy and predictive ability were validated.Results:The 67 NEGs were divided into two subtypes,namely NEGclusterA and NEGclusterB.Survival analysis indicated a better prognosis for patients in B compared to A(P＜0.05).Single-factor Cox analysis identified 133 prognosis-related genes,further classified into genecluster A and genecluster B,the prognosis of A was better than B(P＜0.001).Three genes(SLC1A5,MYBL2,and CFHR3)were determined to construct the prognostic risk scoring model.In both TCGA training and validation cohorts,patients in the high-risk group exhibited poorer prognosis(P＜0.05).Conclu-sion:This predictive model can independently forecast the prognosis of liver cancer and provides initial insights into the differences in immune cell infiltration among different liver cancer clusters.
