Identification and Validation of a Prognostic Model Based on Three Autophagy-Related Genes in Hepatocellular Carcinoma.
Identification and Validation of a Prognostic Model Based on Three Autophagy-Related Genes in Hepatocellular Carcinoma.
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基于三个自噬相关基因的肝细胞癌预后模型的鉴定和验证
DOI：
10.1155/2021/5564040
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发表时间：
2021
影响因子：
--
通讯作者：
Zhang W
中科院分区：
文献类型：
--
作者：
Qin F;Zhang J;Gong J;Zhang W
Background Accumulating studies have demonstrated that autophagy plays an important role in hepatocellular carcinoma (HCC). We aimed to construct a prognostic model based on autophagy-related genes (ARGs) to predict the survival of HCC patients. Methods Differentially expressed ARGs were identified based on the expression data from The Cancer Genome Atlas and ARGs of the Human Autophagy Database. Univariate Cox regression analysis was used to identify the prognosis-related ARGs. Multivariate Cox regression analysis was performed to construct the prognostic model. Receiver operating characteristic (ROC), Kaplan-Meier curve, and multivariate Cox regression analyses were performed to test the prognostic value of the model. The prognostic value of the model was further confirmed by an independent data cohort obtained from the International Cancer Genome Consortium (ICGC) database. Results A total of 34 prognosis-related ARGs were selected from 62 differentially expressed ARGs identified in HCC compared with noncancer tissues. After analysis, a novel prognostic model based on ARGs (PRKCD, BIRC5, and ATIC) was constructed. The risk score divided patients into high- or low-risk groups, which had significantly different survival rates. Multivariate Cox analysis indicated that the risk score was an independent risk factor for survival of HCC after adjusting for other conventional clinical parameters. ROC analysis showed that the predictive value of this model was better than that of other conventional clinical parameters. Moreover, the prognostic value of the model was further confirmed in an independent cohort from ICGC patients. Conclusion The prognosis-related ARGs could provide new perspectives on HCC, and the model should be helpful for predicting the prognosis of HCC patients.
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DOI：
10.3233/cbm-190169
发表时间：
2020
期刊：
Cancer biomarkers : section A of Disease markers
影响因子：
--
作者：
Cai C;Song X;Yu C
通讯作者：
Yu C
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
5.2
作者：
Lin P;He Y;Wen DY;Li XJ;Zeng JJ;Mo WJ;Li Q;Peng JB;Wu YQ;Pan DH;Li HY;Mo QY;Wei YP;Yang H;Chen G
通讯作者：
Chen G
影响因子：
--
作者：
Ávalos Y;Canales J;Bravo-Sagua R;Criollo A;Lavandero S;Quest AF
通讯作者：
Quest AF
影响因子：
4.3
作者：
Dimitroulis D;Damaskos C;Valsami S;Davakis S;Garmpis N;Spartalis E;Athanasiou A;Moris D;Sakellariou S;Kykalos S;Tsourouflis G;Garmpi A;Delladetsima I;Kontzoglou K;Kouraklis G
通讯作者：
Kouraklis G