Long Noncoding Competing Endogenous RNA Networks in Pancreatic Cancer

Author:

Xiong Guangbing,Pan Shutao,Jin Jikuan,Wang Xiaoxiang,He Ruizhi,Peng Feng,Li Xu,Wang Min,Zheng Jianwei,Zhu Feng,Qin Renyi

Abstract

Pancreatic cancer (PC) is a highly malignant disease characterized by insidious onset, rapid progress, and poor therapeutic effects. The molecular mechanisms associated with PC initiation and progression are largely insufficient, hampering the exploitation of novel diagnostic biomarkers and development of efficient therapeutic strategies. Emerging evidence recently reveals that noncoding RNAs (ncRNAs), including long ncRNAs (lncRNAs) and microRNAs (miRNAs), extensively participate in PC pathogenesis. Specifically, lncRNAs can function as competing endogenous RNAs (ceRNAs), competitively sequestering miRNAs, therefore modulating the expression levels of their downstream target genes. Such complex lncRNA/miRNA/mRNA networks, namely, ceRNA networks, play crucial roles in the biological processes of PC by regulating cell growth and survival, epithelial–mesenchymal transition and metastasis, cancer stem cell maintenance, metabolism, autophagy, chemoresistance, and angiogenesis. In this review, the emerging knowledge on the lncRNA-associated ceRNA networks involved in PC initiation and progression will be summarized, and the potentials of the competitive crosstalk as diagnostic, prognostic, and therapeutic targets will be comprehensively discussed.

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Cancer Research,Oncology

Reference278 articles.

1. Pancreatic Cancer;Mizrahi;Lancet,2020

2. Cancer Statistics, 2020;Siegel;CA Cancer J Clin,2020

3. Cancer Statistics, 2019;Siegel;Ca Cancer J Clin,2019

4. Multidisciplinary Standards of Care and Recent Progress in Pancreatic Ductal Adenocarcinoma;Grossberg;CA Cancer J Clin,2020

5. Advances in the Genetics and Biology of Pancreatic Cancer;Aguirre;Cancer J,2017

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