Literature DB >> 31062358

Assessment of the expression pattern of mTOR-associated lncRNAs and their genomic variants in the patients with breast cancer.

Zahra Taherian-Esfahani1, Mohammad Taheri2, Sepideh Dashti1, Vahid Kholghi-Oskooei1, Lobat Geranpayeh3, Soudeh Ghafouri-Fard1.   

Abstract

The mechanistic target of rapamycin (mTOR) is a fundamental component of a signaling pathway that is involved in the pathogenesis of breast cancer via different mechanisms. This pathway is functionally linked with a number of small nucleolar RNA host genes (SNHGs). In the present project, we have searched for the expression quantitative trait loci (eQTLs) within SNHGs that are possibly involved in the pathogenesis of breast cancer. Following this in silico step, we have assessed expression levels of mTOR and four SNHGs in malignant and nonmalignant samples obtained from 80 patients with breast cancer. We also genotyped rs4615861 of SNHG3 and rs3087978 of SNHG5 in the peripheral blood of patients. SNHG12 expression was not detected in any of the assessed malignant or nonmalignant tissues. So this gene was excluded from further steps. Expression of mTOR and other three long noncoding RNAs (lncRNAs) were significantly increased in the malignant tissues compared with the nonmalignant tissues. When classifying patients into down-/upregulation categorized based on the transcript levels of each gene in malignant tissue versus nonmalignant tissues, we noticed associations between expression of SNHG1 and stage (p = 0.03), expression of SNHG5 and grade (p = 0.05), as well as between expression of SNHG3 and history of oral contraceptive use (p = 0.04). We also detected higher levels of SNHG3 expression in estrogen receptor/progesterone receptor (ER/PR) negative tumors compared with the ER/PR positive tumors (p  = 0.003 and p = 0.01, respectively). Moreover, there was a trend toward higher expression of this lncRNA in HER2-positive tumors compared with the HER2-negative ones (p = 0.07). Combination of transcript levels of all genes could differentiate malignant tissues from nonmalignant tissues with the diagnostic power of 69% (p = 0.0001). The rs3087978 was associated with the expression of mTOR in malignant tissues in a way that TT and TG genotypes were associated with the higher and lower levels of expressions, respectively (p = 0.01). The current study underscores the significance of SNHGs in the pathogenesis of breast cancer.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  breast cancer; lncRNA; mTOR

Mesh:

Substances:

Year:  2019        PMID: 31062358     DOI: 10.1002/jcp.28767

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  7 in total

Review 1.  Long noncoding RNAs and exosomal lncRNAs: classification, and mechanisms in breast cancer metastasis and drug resistance.

Authors:  Hassan Yousefi; Maryam Maheronnaghsh; Fatemeh Molaei; Ladan Mashouri; Amir Reza Aref; Majid Momeny; Suresh K Alahari
Journal:  Oncogene       Date:  2019-10-10       Impact factor: 9.867

2.  LncRNA SNHG1 promotes EMT process in gastric cancer cells through regulation of the miR-15b/DCLK1/Notch1 axis.

Authors:  Zhi-Qi Liu; Wei-Feng He; Yang-Jie Wu; Shun-Li Zhao; Ling Wang; Yan-Yi Ouyang; San-Yuan Tang
Journal:  BMC Gastroenterol       Date:  2020-05-18       Impact factor: 3.067

3.  Long non-coding RNA SNHG3 promotes breast cancer cell proliferation and metastasis by binding to microRNA-154-3p and activating the notch signaling pathway.

Authors:  Hongnan Jiang; Xiaojun Li; Wei Wang; Honglin Dong
Journal:  BMC Cancer       Date:  2020-09-03       Impact factor: 4.430

4.  Overexpression of lncRNA SNGH3 Predicts Unfavorable Prognosis and Clinical Outcomes in Human Cancers: Evidence from a Meta-Analysis.

Authors:  Yaofei Jiang; Lulu Le
Journal:  Biomed Res Int       Date:  2020-06-25       Impact factor: 3.411

5.  Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis.

Authors:  Xuefeng Jiang; Guijuan Zhang; Jieyan Wu; Shujun Lin; Yusheng Liu; Yi Ma; Min Ma
Journal:  Biomed Res Int       Date:  2020-05-10       Impact factor: 3.411

Review 6.  A New and Integral Approach to the Etiopathogenesis and Treatment of Breast Cancer Based upon Its Hydrogen Ion Dynamics.

Authors:  Salvador Harguindey; Khalid Alfarouk; Julián Polo Orozco; Kevin Hardonniere; Daniel Stanciu; Stefano Fais; Jesús Devesa
Journal:  Int J Mol Sci       Date:  2020-02-07       Impact factor: 5.923

7.  Five lncRNAs Associated With Prostate Cancer Prognosis Identified by Coexpression Network Analysis.

Authors:  Xiaoyong Gong; Bobin Ning
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.