Construction and validation of a immune-related prognostic gene DHRS1 in hepatocellular carcinoma based on bioinformatic analysis

Author:

Xu Sa1ORCID,Wang Wei23,Meng Tao4,Wang Fuyan1,Wang Guoxing5,Huang Fan23,Wang Guobin23,Yu Xiaojun23,Wu Ruolin23,Hou Liujin23,Ye Zhenghui23,Zhang Xinghua23,Zhao Hongchuan23,Shen Yuxian1

Affiliation:

1. School of Basic Medical Sciences, Anhui Medical University, Hefei, China

2. Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China

3. Organ Transplant Center of The First Affiliated Hospital of Anhui Medical University, Hefei, China

4. Department of General Surgery, Third Affiliated Hospital of Anhui Medical University, Hefei, China

5. Anhui BioX-Vision Biological Technology Co., Ltd, Hefei, China.

Abstract

A member of the short-chain dehydrogenase/reductase superfamily (DHRS1, SDR19C1) is a member of the short-chain dehydrogenase/reductase superfamily and a potential predictor of hepatocellular carcinoma (HCC). However, the role of DHRS1 in HCC immunity remains unclear. We systematically analyzed the association between DHRS1 and HCC immunity with transcriptional and clinical data from the Tumor Immune Estimation Resource, an integrated repository portal for tumor immune system interactions, and cBioPortal databases. Six DHRS1-associated immunomodulators strongly correlated with survival and were uncovered by exploiting univariate and multivariate Cox analyses. We created a risk score for each patient by adding the points from each immunomodulator and then classified them into high and low risk categories. Survival analysis were used to compare the overall survival between the 2 groups, and the receiver operating characteristic curve was applied to assess the accuracy of the risk score. Data from our center were adopted as the external validation set, the risk score was calculated using the risk coefficient of the 6 genes in the training cohort, and survival analysis were executed to verify the experimental group results. A nomogram was ultimately constructed with the R package. Our data revealed a correlation between the levels of immune cell infiltration and either the DHRS1 gene copy numbers or mRNA levels in HCC. Second, we generated a signature based on the 6 DHRS1-related immunomodulators (KDR, TNFRSF4, CD276, TNFSF4, SLAMF6, and SIGLEC9). We postulate that the generated risk scores would serve as an independent indicator of HCC prognosis, with an area under the receiver operating characteristic curve for the risk score of 0.743. We further established external validation sets to reconfirm the predictive validity of the risk score. Finally, a prognostic nomogram and calibration curve were created. The DHRS1 gene may exert an impact on HCC immunity. We posit that the nominated immune signature based on DHRS1-associated immunomodulators could constitute a promising prognostic biomarker in HCC.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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