Protein Kinase C Alpha is a Central Node for Tumorigenic Transcriptional Networks in Human Prostate Cancer

Author:

Cooke Mariana12ORCID,Zhang Xuyao1,Zhang Suli1,Eruslanov Evgeniy3ORCID,Lal Priti4,Daniel Reba E.4,Feldman Michael D.4ORCID,Abba Martin C.5ORCID,Kazanietz Marcelo G.1ORCID

Affiliation:

1. 1Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

2. 2Department of Medicine, Einstein Medical Center Philadelphia, Philadelphia, Pennsylvania.

3. 3Division of Thoracic Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

4. 4Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

5. 5Centro de Investigaciones Inmunológicas Básicas y Aplicadas, Universidad Nacional de La Plata, La Plata, Argentina.

Abstract

Aberrant expression of protein kinase C (PKC) isozymes is a hallmark of cancer. The different members of the PKC family control cellular events associated with cancer development and progression. Whereas the classical/conventional PKCα isozyme has been linked to tumor suppression in most cancer types, here we demonstrate that this kinase is required for the mitogenic activity of aggressive human prostate cancer cells displaying aberrantly high PKCα expression. IHC analysis showed abnormal upregulation of PKCα in human primary prostate tumors. Interestingly, silencing PKCα expression from aggressive prostate cancer cells impairs cell-cycle progression, proliferation, and invasion, as well as their tumorigenic activity in a mouse xenograft model. Mechanistic analysis revealed that PKCα exerts a profound control of gene expression, particularly over genes and transcriptional networks associated with cell-cycle progression and E2F transcription factors. PKCα RNAi depletion from PC3 prostate cancer cells led to a reduction in the expression of proinflammatory cytokine and epithelial-to-mesenchymal transition (EMT) genes, as well as a prominent downregulation of the immune checkpoint ligand PD-L1. This PKCα-dependent gene expression profile was corroborated in silico using human prostate cancer databases. Our studies established PKCα as a multifunctional kinase that plays pleiotropic roles in prostate cancer, particularly by controlling genetic networks associated with tumor growth and progression. The identification of PKCα as a protumorigenic kinase in human prostate cancer provides strong rationale for the development of therapeutic approaches toward targeting PKCα or its effectors. Significance: PKCα was found to be aberrantly expressed in human prostate cancer. Silencing the expression of this kinase from aggressive prostate cancer cell lines reduces their proliferative, tumorigenic, and invasive properties. In addition, our findings implicate PKCα as a major node for transcriptional regulation of tumorigenic, inflammatory, and EMT networks in prostate cancer, highlighting its potential relevance as a therapeutic target.

Funder

HHS | NIH | National Cancer Institute

Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación

Publisher

American Association for Cancer Research (AACR)

Reference57 articles.

1. Cancer statistics, 2022;Siegel;CA Cancer J Clin,2022

2. Emerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer;Watson;Nat Rev Cancer,2015

3. Mechanisms of therapeutic resistance in prostate cancer;Nakazawa;Curr Oncol Rep,2017

4. Genetics and biology of prostate cancer;Wang;Genes Dev,2018

5. Prostate cancer;Rebello;Nat Rev Dis Primers,2021

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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