Literature DB >> 26360585

Non-coding RNAs: Functions and applications in endocrine-related cancer.

Thejaswini Venkatesh1, Padmanaban S Suresh2, Rie Tsutsumi3.   

Abstract

A significant fraction of the human genome is transcribed as non-coding RNAs (ncRNAs). This non-coding transcriptome has challenged the notion of the central dogma and its involvement in transcriptional and post-transcriptional regulation of gene expression is well established. Interestingly, several ncRNAs are dysregulated in cancer and current non-coding transcriptome research aims to use our increasing knowledge of these ncRNAs for the development of cancer biomarkers and anti-cancer drugs. In endocrine-related cancers, for which survival rates can be relatively low, there is a need for such advancements. In this review, we aimed to summarize the roles and clinical implications of recently discovered ncRNAs, including long ncRNAs, PIWI-interacting RNAs, tRNA- and Y RNA-derived ncRNAs, and small nucleolar RNAs, in endocrine-related cancers affecting both sexes. We focus on recent studies highlighting discoveries in ncRNA biology and expression in cancer, and conclude with a discussion on the challenges and future directions, including clinical application. ncRNAs show great promise as diagnostic tools and therapeutic targets, but further work is necessary to realize the potential of these unconventional transcripts.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Endocrine-related cancer; Long non-coding RNA; Non-coding RNA; PIWI-interacting RNA; Small nucleolar RNA; Y RNA; tRNA-derived small RNA

Mesh:

Substances:

Year:  2015        PMID: 26360585     DOI: 10.1016/j.mce.2015.08.026

Source DB:  PubMed          Journal:  Mol Cell Endocrinol        ISSN: 0303-7207            Impact factor:   4.102


  13 in total

1.  miR-532-5p promotes breast cancer proliferation and migration by targeting RERG.

Authors:  Lei Huang; Xiaoqiao Tang; Xianbiao Shi; Lei Su
Journal:  Exp Ther Med       Date:  2019-11-12       Impact factor: 2.447

2.  Analyzing the Interactions of mRNAs and ncRNAs to Predict Competing Endogenous RNA Networks in Osteosarcoma Chemo-Resistance.

Authors:  Kun-Peng Zhu; Chun-Lin Zhang; Xiao-Long Ma; Jian-Ping Hu; Tao Cai; Lei Zhang
Journal:  Mol Ther       Date:  2019-01-07       Impact factor: 11.454

Review 3.  Biology and clinical relevance of noncoding sno/scaRNAs.

Authors:  Thuy Cao; Sheeja Rajasingh; Saheli Samanta; Buddhadeb Dawn; Douglas C Bittel; Johnson Rajasingh
Journal:  Trends Cardiovasc Med       Date:  2017-08-12       Impact factor: 6.677

4.  Analyzing the interactions of mRNAs, miRNAs, lncRNAs and circRNAs to predict competing endogenous RNA networks in glioblastoma.

Authors:  Yang Yuan; Li Jiaoming; Wang Xiang; Liu Yanhui; Jiang Shu; Gou Maling; Mao Qing
Journal:  J Neurooncol       Date:  2018-01-15       Impact factor: 4.130

Review 5.  Non-Coding RNAs in Thyroid Cancer.

Authors:  Ranran Zhang; Heather Hardin; Jidong Chen; Zhenying Guo; Ricardo V Lloyd
Journal:  Endocr Pathol       Date:  2016-03       Impact factor: 3.943

6.  Molecular Network-Based Identification of Competing Endogenous RNAs in Thyroid Carcinoma.

Authors:  Minjia Lu; Xingyu Xu; Baohang Xi; Qi Dai; Chenli Li; Li Su; Xiaonan Zhou; Min Tang; Yuhua Yao; Jialiang Yang
Journal:  Genes (Basel)       Date:  2018-01-19       Impact factor: 4.096

7.  Identification of circular RNAs as a promising new class of diagnostic biomarkers for human breast cancer.

Authors:  Lingshuang Lü; Jian Sun; Peiyi Shi; Weimin Kong; Kun Xu; Biyu He; Simin Zhang; Jianming Wang
Journal:  Oncotarget       Date:  2017-07-04

8.  Long non-coding RNA00544 serves as a potential novel predictive and prognostic marker for HR+ HER2- subtype breast cancer.

Authors:  Lei Liu; Yayun Chi; Jiajian Chen; Jingyan Xue; Linlin Deng; Naisi Huang; Jianghua Shao; Jiong Wu
Journal:  Sci Rep       Date:  2017-09-28       Impact factor: 4.379

9.  Upregulation of the long non-coding RNA CBR3-AS1 predicts tumor prognosis and contributes to breast cancer progression.

Authors:  Lingyun Xu; Hong Zhu; Fei Gao; Yinghua Tang; Yajun Zhu; Zhiqiang Sun; Jian Wang
Journal:  Gene X       Date:  2019-03-25

Review 10.  Structure Prediction: New Insights into Decrypting Long Noncoding RNAs.

Authors:  Kun Yan; Yasir Arfat; Dijie Li; Fan Zhao; Zhihao Chen; Chong Yin; Yulong Sun; Lifang Hu; Tuanmin Yang; Airong Qian
Journal:  Int J Mol Sci       Date:  2016-01-21       Impact factor: 5.923

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