Literature DB >> 26909935

Prognostic significance of long non-coding RNA MALAT-1 in various human carcinomas: a meta-analysis.

J Wang1, A M Xu1, J Y Zhang1, X M He2, Y S Pan1, G Cheng1, C Qin1, L X Hua1, Z J Wang1.   

Abstract

The long non-coding RNA MALAT-1 plays an important role in cancer prognosis. The present research aimed to elucidate its precise predictive value in various human carcinomas. A quantitative meta-analysis was performed by searching PubMed, Embase, Web of Science, and Cochrane Library (most recently, January 2015) databases, and extracting data from studies that investigated the association between MALAT-1 expression and survival outcomes in patients of various cancers. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated as a measure of generalized effect. This meta-analysis included 1317 cases from 12 datasets. Our investigation revealed that poor overall survival (OS; HR = 2.14, 95% CI = 1.74-2.64) and shortened disease-free, recurrence-free, disease-specific, or progression-free survival (HR = 2.13, 95% CI = 1.22-3.72) can be predicted by high MALAT-1 expression for various cancers. Moreover, elevated MALAT-1 levels significantly correlated with decreased OS in a renal cell carcinoma (RCC) subgroup (HR = 3.43, 95% CI = 1.80-6.53). These results imply that MALAT-1 can be used to predict unfavorable prognoses for several cancers, particularly RCC.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26909935     DOI: 10.4238/gmr.15017433

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  11 in total

1.  A long noncoding RNA UCA1 promotes proliferation and predicts poor prognosis in glioma.

Authors:  W Zhao; C Sun; Z Cui
Journal:  Clin Transl Oncol       Date:  2017-01-19       Impact factor: 3.405

Review 2.  Long noncoding RNAs as novel predictors of survival in human cancer: a systematic review and meta-analysis.

Authors:  Stylianos Serghiou; Aikaterini Kyriakopoulou; John P A Ioannidis
Journal:  Mol Cancer       Date:  2016-06-28       Impact factor: 27.401

Review 3.  MALAT1: a druggable long non-coding RNA for targeted anti-cancer approaches.

Authors:  Nicola Amodio; Lavinia Raimondi; Giada Juli; Maria Angelica Stamato; Daniele Caracciolo; Pierosandro Tagliaferri; Pierfrancesco Tassone
Journal:  J Hematol Oncol       Date:  2018-05-08       Impact factor: 17.388

4.  Long noncoding RNA MALAT1 inhibits the apoptosis and autophagy of hepatocellular carcinoma cell by targeting the microRNA-146a/PI3K/Akt/mTOR axis.

Authors:  Ningfu Peng; Jingrong He; Jindu Li; Hao Huang; Weiqiao Huang; Yingyang Liao; Shaoliang Zhu
Journal:  Cancer Cell Int       Date:  2020-05-13       Impact factor: 5.722

5.  The prognostic value of lncRNA SNHG1 in cancer patients: a meta-analysis.

Authors:  Bingzi Dong; Xian Chen; Yunyuan Zhang; Chengzhan Zhu; Qian Dong
Journal:  BMC Cancer       Date:  2019-08-07       Impact factor: 4.430

6.  MALAT1 accelerates the development and progression of renal cell carcinoma by decreasing the expression of miR-203 and promoting the expression of BIRC5.

Authors:  Haimin Zhang; Wei Li; Wenyu Gu; Yang Yan; Xudong Yao; Junhua Zheng
Journal:  Cell Prolif       Date:  2019-06-27       Impact factor: 6.831

Review 7.  Long Non-coding RNAs Involved in Resistance to Chemotherapy in Ovarian Cancer.

Authors:  Cecilie Abildgaard; Luisa M Do Canto; Karina D Steffensen; Silvia R Rogatto
Journal:  Front Oncol       Date:  2020-01-21       Impact factor: 6.244

8.  Intelligent Bio-Responsive Fluorescent Au-shRNA Complexes for Regulated Autophagy and Effective Cancer Bioimaging and Therapeutics.

Authors:  Weijuan Cai; Liang Yin; Hui Jiang; Yossi Weizmann; Xuemei Wang
Journal:  Biosensors (Basel)       Date:  2021-10-28

Review 9.  Function of the Long Noncoding RNAs in Hepatocellular Carcinoma: Classification, Molecular Mechanisms, and Significant Therapeutic Potentials.

Authors:  Ahmad Khan; Xiaobo Zhang
Journal:  Bioengineering (Basel)       Date:  2022-08-21

10.  The Value of lncRNA GHET1 as a Prognostic Factor for Survival of Chinese Cancer Outcome: A Meta-Analysis.

Authors:  Junying Song; Xian Chen; Qingwu Tian; Limin Lun; Qing Wang; Hongwei Wang; Xiaopeng Li; Zhongqiang Liu; Liyuan Tian; Xuran Jing; Yunyuan Zhang; Runhua Tian
Journal:  Dis Markers       Date:  2019-12-01       Impact factor: 3.434

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.