Identification of a DNA Damage Response and Repair-Related Gene-Pair Signature for Prognosis Stratification Analysis in Hepatocellular Carcinoma

5Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Background: Nowadays, although the cause of hepatocellular carcinoma (HCC) mortality and recurrence remains at a high level, the 5-year survival rate is still very low. The DNA damage response and repair (DDR) pathway may affect HCC patients’ survival by influencing tumor development and therapeutic response. It is necessary to identify a prognostic DDR-related gene signature to predict the outcome of patients. Methods: Level 3 mRNA expression and clinical information were extracted from the TCGA website. The GSE14520 datasets, ICGC-LIRI datasets, and a Chinese HCC cohort were served as validation sets. Univariate Cox regression analysis and LASSO-penalized Cox regression analysis were performed to construct the DDR-related gene pair (DRGP) signature. Kaplan–Meier survival curves and time-dependent receiver operating characteristic (ROC) analysis curves were calculated to determine the predictive ability of this prognostic model. Then, a prognostic nomogram was established to help clinical management. We investigated the difference in biological processes between HRisk and LRisk by conducting several enrichment analyses. The TIDE algorithm and R package “pRRophetic” were applied to estimate the immunotherapeutic and chemotherapeutic response. Results: We constructed the prognostic signature based on 23 DDR-related gene pairs. The patients in the training datasets were divided into HRisk and LRisk groups at median cut-off. The HRisk group had significantly poorer OS than the LRisk group, and the signature was an independent prognostic indicator in HCC. Furthermore, a nomogram of the riskscore combined with TNM stage was constructed and detected by the calibration curve and decision curve. The LRisk group was associated with higher expression of HBV oncoproteins and metabolism pathways, while DDR-relevant pathways and cell cycle process were enriched in the HRisk group. Moreover, patients in the LRisk group may be more beneficial from immunotherapy. We also found that TP53 gene was more frequently mutated in the HRisk group. As for chemotherapeutic drugs commonly used in HCC, the HRisk group was highly sensitive to 5-fluorouracil, while the LRisk group presented with a significantly higher response to gefitinib and gemcitabine. Conclusion: Overall, we developed a novel DDR-related gene pair signature and nomogram to assist in predicting survival outcomes and clinical treatment of HCC patients. It also helps understand the underlying mechanisms of different DDR patterns in HCC.

References Powered by Scopus

ClusterProfiler: An R package for comparing biological themes among gene clusters

20933Citations
N/AReaders
Get full text

Regularization paths for generalized linear models via coordinate descent

12224Citations
N/AReaders
Get full text

Cancer statistics, 2013

11920Citations
N/AReaders
Get full text

Cited by Powered by Scopus

The DNA damage repair-related lncRNAs signature predicts the prognosis and immunotherapy response in gastric cancer

8Citations
N/AReaders
Get full text

Downregulation of VRK1 Inhibits Progression of Lung Squamous Cell Carcinoma through DNA Damage

4Citations
N/AReaders
Get full text

Significance of Pre-Treatment CALLY Score Combined with EBV-DNA Levels for Prognostication in Non-Metastatic Nasopharyngeal Cancer Patients: A Clinical Perspective

3Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Chen, Y., Huang, M., Zhu, J., Xu, L., Cheng, W., Lu, X., & Yan, F. (2022). Identification of a DNA Damage Response and Repair-Related Gene-Pair Signature for Prognosis Stratification Analysis in Hepatocellular Carcinoma. Frontiers in Pharmacology, 13. https://doi.org/10.3389/fphar.2022.857060

Readers over time

‘22‘23‘24‘2501234

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

75%

Professor / Associate Prof. 1

25%

Readers' Discipline

Tooltip

Engineering 2

50%

Biochemistry, Genetics and Molecular Bi... 1

25%

Computer Science 1

25%

Save time finding and organizing research with Mendeley

Sign up for free
0