FLG Gene Mutation Up-regulates the Abnormal Tumor Immune Response and Promotes the Progression of Prostate Cancer

Author:

Xu Yong1,Zhang Zhihong1,Zhang Peng1,An Zesheng1,Sun Changhai2

Affiliation:

1. Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Hexi District, Tianjin 300211, China

2. Department of Urology, Qingdao Women and Children\'s Hospital, Qingdao, 266000, Shandong, China

Abstract

Background: Prostate Cancer (PCa) ranks sixth with regard to the cause of cancerinduced male diseases worldwide, and inflammation is closely associated with its morbidity, deterioration, and prognosis. Tumor Mutation Burden (TMB) is identified to be the most common biomarker for the prediction of immunotherapy. But it is still unclear about the relationship of gene mutations in PCa with TMB and immune response. Objective: To study the relationship between gene mutation and anti-tumor immune response in the prostate cancer tumor microenvironment. Methods: In the present work, the PCa somatic mutation data were collected from the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) datasets. Results: As a result, 8 genes with high mutation frequency, including TP53, PTEN, TTN, FLG, CTNNB1, SPOP, MUC16, and KMT2C, were discovered to be covered by 4 cohorts from the United States, Canada, the United Kingdom, and China. Overall, the FLG mutation was related to a greater TMB, which predicted the dismal prognostic outcome. Besides, the CIBERSORT algorithm and Gene Set Enrichment Analysis (GSEA) were adopted for analysis, which revealed that FLG mutation remarkably promoted immune response in the context of PCa and accelerated cancer development. To sum up, FLG shows a high mutation frequency in PCa, and is related to the increase in TMB, up-regulation of abnormal immune responses in tumors, and promotion of tumor progression. Conclusion: Therefore, it may be used as a biomarker to predict the abnormal immune responses and provide a therapeutic target for immunotherapy in the treatment of PCa.

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmaceutical Science,Biotechnology

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