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黑色素瘤氧化应激相关预后风险模型的开发与验证

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

作者信息

Yang Yu, Long Xuan, Li Kun, Li Guiyun, Yu Xiaohong, Wen Ping, Luo Jun, Tian Xiaobin, Zhao Jinmin

机构信息

Department of Orthopedics Trauma and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Department of Obstetrics and Gynecology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.

出版信息

PeerJ. 2021 Apr 20;9:e11258. doi: 10.7717/peerj.11258. eCollection 2021.

DOI:10.7717/peerj.11258
PMID:33976978
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8063880/
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.

摘要

背景

氧化应激(OS)是多种疾病的关键因素,与癌症进展和肿瘤发生有关。然而,OS相关基因在皮肤黑色素瘤(SKCM)中的潜在诊断价值仍不清楚。

方法

我们使用了从癌症基因组图谱(TCGA)-SKCM队列中获取的471个肿瘤组织和1个健康组织的RNA测序数据。利用基因组组织表达数据库从812个健康样本中获取转录组数据。研究了SKCM与健康样本之间差异表达的OS相关基因,并鉴定了16个与预后相关的OS基因。使用单变量和Cox多变量回归建立预后风险模型。在包括214例SKCM患者的GSE65904队列中验证了枢纽基因的预后价值。

结果

与低风险组相比,高风险组SKCM患者的总生存率降低。在TCGA和GSE65904队列中,ROC曲线表明我们的预后风险模型在诊断SKCM方面比其他临床病理特征更准确。此外,还开发了与枢纽基因表达相关的风险评分和列线图。这些再次证明了我们的预后风险模型。总之,本研究为SKCM的发病机制提供了新的见解。所鉴定的16个枢纽基因可能有助于SKCM的预后和个体化临床治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/8ca1257e234d/peerj-09-11258-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/e2cabca76dad/peerj-09-11258-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/c6e8a98b4671/peerj-09-11258-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/71d6204f3893/peerj-09-11258-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/c469bbba0a67/peerj-09-11258-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/193bac1d345f/peerj-09-11258-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/c13391c35bcb/peerj-09-11258-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/1f82981da920/peerj-09-11258-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/8ca1257e234d/peerj-09-11258-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/e2cabca76dad/peerj-09-11258-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/c6e8a98b4671/peerj-09-11258-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/71d6204f3893/peerj-09-11258-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/709f9e092adc/peerj-09-11258-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/c469bbba0a67/peerj-09-11258-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/193bac1d345f/peerj-09-11258-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/c13391c35bcb/peerj-09-11258-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/1f82981da920/peerj-09-11258-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea3/8063880/8ca1257e234d/peerj-09-11258-g009.jpg

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