Effects of CLIC family expression levels on the prognosis and tumor immune microenvironment of Bladder Cancer

Author:

Yang Di1,Zhou Guomei2,Tang Ning3,Qin Huaxing1,Gai Shasha3,Yao Mingzhe3,Peng Huixin1,Chen Wencheng1,Huang Qun1,Liang Zhengfang1

Affiliation:

1. Affiliated Hospital of Youjiang Medical University for Nationalites

2. Songshan General Hospital

3. Youjiang Medical University for nationalites

Abstract

Abstract Purpose CLIC family members act as tumor suppressors or oncogenes in multiple cancer processes. However, the CLIC family of genes in bladder cancer is currently not well characterized. Methods 375 bladder cancer samples containing RNASeq and clinical data were downloaded from the TCGA database. The present study aimed to analyze the role of CLIC members in bladder cancer using bioinformatics analysis. Quantitative real-time PCR and Western blotting were performed to quantify gene and protein expression, respectively. The impact of CLIC members on the characteristics of the TME was also analyzed. Results The differences in expression among the 5 CLIC family members were statistically significant in bladder cancer, including CLIC1, CLIC2, CLIC3, CLIC4, and CLIC5. CLIC3 and CLIC4 were two independent prognostic factors associated with poor overall survival in patients with bladder cancer. The results of q-PCR and western bloting showed that CLIC3 was overexpressed in bladder cancer and CLIC4 was expressed at low level in bladder cancer. Similar trends were observed in both q-PCR and western blotting. Among the tumor microenvironmental scores, immune cell infiltration, and immune checkpoint genes, CLIC3 and CLIC4 were associated. CLIC3 and CLIC4 were able to influence bladder cancer chemotherapy sensitivity as well as immunotherapy efficacy. Conclusion A study like this improves the method of assessing bladder cancer patients' prognoses, and would help optimize chemotherapeutic strategies as well as immunotherapy efficacy in consideration of the expression of CLIC3 and CLIC4.

Publisher

Research Square Platform LLC

Reference48 articles.

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