Integrated Analysis of the Roles of Oxidative stress related genes and Prognostic Value in Clear Cell Renal Cell Carcinoma

Author:

Wang Danwen1,Deng Zhao1,Lu Mengxin1,Deng Kai1,Li Zhiqiang2,Zhou Fenfang1

Affiliation:

1. Zhongnan Hospital of Wuhan University

2. Wuhan University

Abstract

Abstract Background:As the most common diagnosed subtype in renal cell carcinoma, clear cell renal cell carcinoma (ccRCC) patients suffer from the threat of tumor metastasis and recrudesce. Previous research has established that oxidative stress could induce tumorigenesis in many cancers and can be a cancer therapeutic target. Despite these, little progress has been made in the association of oxidative stress related genes (OSRGs) with ccRCC. Methods:MTT survival assay, qRT-PCR, apoptosis assay, cell cycle assay, ROS assay, IHC staining, were used in vitro experiments. Results:In our study, 12 differentially expressed oxidative stress-related genes (DEOSGs) and related transcription factors (TFs) relevant to overall survival (OS) were screened, as well as their mutual regulatory networks were structured by data from the TCGA database. Moreover, we constructed the risk model of the OSRGs, and performed clinical prognostic analysis and validation. Next, we correlated MELK, PYCR1, and PML with immune infiltration in ccRCC. Tissue microarray also verified the high expression of MELK and PYCR1 in ccRCC. Finally, cellular experiment in vitro demonstrated that knockdown of MELK or PYCR1 significantly inhibited ccRCC cell proliferation by causing cell apoptosis and inducing G1 phase cycle arrest. The intracellular ROS levels were elevated after knockdown of the two genes. Consulsion: Our results presented a potential application of DEORGs in prognostic prediction for ccRCC and identified two biomarkers named PYCR1 and MELK, which could regulate the proliferation of ccRCC by affecting the ROS levels. Further, PYCR1 and MELK could be promising to predict the progression and prognosis of ccRCC, thereby serving as new targets for medical treatments.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3