Development and validation of an oxidative stress—associated prognostic risk model for melanoma

Abstract

Background Oxidative stress (OS) is key to various diseases and is implicated in cancer progression and oncogenesis. However, the potential diagnostic value of OS-related genes in skin cutaneous melanoma (SKCM) remains unclear. Methods We used data of RNA sequencing from 471 tumor tissues and one healthy tissue acquired from The Cancer Genome Atlas (TCGA)-SKCM cohort. The Genome Tissue Expression database was used to acquire transcriptome data from 812 healthy samples. OS-related genes that were differentially expressed between SKCM and healthy samples were investigated and 16 prognosis-associated OS genes were identified. The prognostic risk model was built using univariate and Cox multivariate regressions. The prognostic value of the hub genes was validated in the GSE65904 cohort, which included 214 SKCM patients. Results The overall survival rate of SKCM patients in the high-risk group was decreased compared to the low-risk group. In both TCGA and GSE65904 cohorts, the ROC curves suggested that our prognostic risk model was more accurate than other clinicopathological characteristics to diagnose SKCM. Moreover, risk score and nomograms associated with the expression of hub genes were developed. These presented reiterated our prognostic risk model. Altogether, this study provides novel insights with regards to the pathogenesis of SKCM. The 16 hub genes identified may help in SKCM prognosis and individualized clinical treatment.

Evaluation of drug sensitivity, immunological characteristics, and prognosis in melanoma patients using an endoplasmic reticulum stress-associated signature based on bioinformatics and pan-cancer analysis

“…These models have been developed for the prognostic signature of patients with melanoma. We observed that the proposed model outperformed the previous models [20,21] regarding ROC (Fig. 8D).…”

“…To improve the achievement of the suggested model, we evaluated the performance of our model with existing models for the prognosis of patients with melanoma [20,21]. These models have been developed for the prognostic signature of patients with melanoma.…”

Establishment and external verification of an oxidative stress-related gene signature to predict clinical outcomes and therapeutic responses of colorectal cancer

“…Oxidative stress-related signatures have been established in acute myeloid leukemia ( Dong et al, 2021 ), melanoma ( Yang et al, 2021 ), clear-cell renal cell carcinoma ( Wu Y. et al, 2021a ), gastric cancer ( Wu Z. et al, 2021b ), head and neck squamous cell carcinoma ( Wang and Zhou, 2021 ), glioma ( Lu et al, 2021 ), and bladder cancer ( Zhang et al, 2022 ). Alterations in redox status accompanied by increased production of ROS have been implicated in CRC ( Lee et al, 2021 ).…”

A Novel Necroptosis-Related Gene Signature in Skin Cutaneous Melanoma Prognosis and Tumor Microenvironment

“…Before us, most literature concerning the prognostic gene signatures of SKCM was focused on m1A-, m5C-, and m6A-methylation ( Wu et al, 2021 ); autophagy ( Deng et al, 2021 ); ferroptosis ( Xu et al, 2021 ); pyroptosis ( Ju et al, 2021 ); and oxidative stress ( Yang et al, 2021 ). For example, Yang et al built an oxidative stress–associated gene’s prognostic model for melanoma.…”