用于预测肝细胞癌预后的新型四基因特征

StephenW

用于预测肝细胞癌预后的新型四基因特征
孙颖
ORCID Icon，陈志勇
, 夏干
, 戴华
, 丹才
, 刘荣华
， 显示所有
2021 年 11 月 10 日接收，2022 年 4 月 19 日接受，在线发表：2022 年 5 月 5 日

    下载引文 https://doi.org/10.1080/00365521.2022.2069476 CrossMark Logo CrossMark

抽象的
客观的

识别和利用基因特征对术后肝细胞癌 (HCC) 患者进行预后评估。
方法

从癌症基因组图谱（TCGA）数据库下载HCC术后患者的基因mRNA表达谱和相应的临床病理学数据。与邻近组织相比，确定了肿瘤组织中高度差异表达的基因 (DEG)，并分析了它们与 HCC 患者总生存期 (OS) 的关系。强相关基因被用于开发HCC生存分层的预后评分，并使用生物信息学分析潜在机制。
结果

共鉴定出 376 个 DEG，其中 4 个 DEG（ADH4、COL15A1、RET 和 KCNJ16）与 OS 独立相关。源自四个基因的预后评分可以有效地对具有不同 OS 结果的 HCC 患者进行分层，而与临床参数无关。高分患者的 OS 比低分患者更差（HR 5.526，95% CI：2.451–12.461，p < .001）。这四个基因参与了与癌症相关的生物过程，并且在生物信息学分析中彼此独立。
结论

确定了四个与 HCC 术后患者预后密切相关的基因，得出的预后评分简单且对总生存期预测有价值。

关键词：肝细胞癌预后基因特征预后评分TCGA

StephenW

A novel four-gene signature for predicting the prognosis of hepatocellular carcinoma
Ying Sun
ORCID Icon, Zhi-Yong Chen
, Xia Gan
, Hua Dai
, Dan Cai
, Rong-Hua Liu
, show all
Received 10 Nov 2021, Accepted 19 Apr 2022, Published online: 05 May 2022

    Download citation https://doi.org/10.1080/00365521.2022.2069476 CrossMark Logo CrossMark

Abstract
Objective

To identify and utilize gene signatures for the prognostic evaluation of postoperative patients with hepatocellular carcinoma (HCC).
Methods

The gene mRNA expression profiles and corresponding clinicopathological data of postoperative patients with HCC were downloaded from The Cancer Genome Atlas (TCGA) database. Highly differentially expressed genes (DEGs) in tumor tissues compared to adjacent tissues were identified, and their associations with the overall survival (OS) of HCC patients were analyzed. The strongly associated genes were used to develop a prognostic score for the survival stratification of HCC, and the underlying mechanisms were analyzed using bioinformatics.
Results

A total of 376 DEGs were identified and four DEGs (ADH4, COL15A1, RET and KCNJ16) were independently associated with OS. A prognostic score derived from the four genes could effectively stratify HCC patients with different OS outcomes, independent of clinical parameters. Patients with high scores exhibited poorer OS than patients with low scores (HR 5.526, 95% CI: 2.451–12.461, p < .001). The four genes were involved in cancer-related biological processes and were independent of each other in bioinformatics analyses.
Conclusion

Four genes strongly associated with the prognosis of postoperative patients with HCC were identified, and the derived prognostic score was simple and valuable for overall survival prediction.

Keywords: Hepatocellular carcinomaprognosisgene signatureprognostic scoreTCGA