Literature DB >> 30569489

The prognostic potential of long noncoding RNA HOTAIR expression in human digestive system carcinomas: A meta-analysis.

Hossein Abdeahad1, Amir Avan2,3, Mehran Pashirzad1, Majid Khazaei2,4, Saman Soleimanpour5, Gordon A Ferns6, Hamid Fiuji7, Mikhail Ryzhikov8, Afsane Bahrami9, Seyed Mahdi Hassanian1,2.   

Abstract

Homeobox transcript antisense intergenic RNA (HOTAIR), one of the well-known long noncoding RNAs (lncRNAs), plays an important role in initiation and development of various tumors. Elevated level of HOTAIR is associated with metastatic behavior of primary tumor and poor outcome in several cancers. Therefore, we conducted a meta-analysis to clearly measure the prognostic impact of HOTAIR in patients with digestive system carcinomas. Fourteen studies including 2,666 patients with five different type of digestive system cancers were selected to be entered in meta-analysis. Finding demonstrated that HOTAIR overexpression could predict unfavorable outcome in digestive system carcinomas (hazard ratio [HR] = 2.4, 95% confidence interval [CI]: 2.0-2.9; p < 0.001; fixed-effect model). In stratified analysis, increased level of HOTAIR predicted poor overall survival in gastric cancer (HR = 2.1, 95% CI: 1.6-2.9; p < 0.001), colorectal cancer (HR = 4.1, 95% CI: 1.6-10.2; p = 0.002), esophageal squamous cell carcinoma (HR = 2.3, 95% CI: 1.7-3.0; p < 0.001), and hepatocellular carcinoma (HR = 3.4, 95% CI: 1.9-6.1; p < 0.001). Our meta-analysis results clearly support the prognostic value of HOTAIR to predict unfavorable prognostic outcomes in diverse digestive system carcinomas.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  HOTAIR; digestive system carcinomas; overall survival; prognostic biomarker

Mesh:

Substances:

Year:  2018        PMID: 30569489     DOI: 10.1002/jcp.27918

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


  7 in total

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Authors:  Arash Poursheikhani; Zahra Bahmanpour; Ehsan Razmara; Ladan Mashouri; Mohammad Taheri; Dorsa Morshedi Rad; Hassan Yousefi; Amirreza Bitaraf; Sadegh Babashah
Journal:  Cell Oncol (Dordr)       Date:  2020-06-03       Impact factor: 6.730

2.  Small non-coding RNA profiling in breast cancer: plasma U6 snRNA, miR-451a and miR-548b-5p as novel diagnostic and prognostic biomarkers.

Authors:  Luděk Záveský; Eva Jandáková; Vít Weinberger; Luboš Minář; Veronika Hanzíková; Daniela Dušková; Adéla Faridová; Radovan Turyna; Ondřej Slanař; Aleš Hořínek; Milada Kohoutová
Journal:  Mol Biol Rep       Date:  2022-01-07       Impact factor: 2.316

3.  HOTAIR as a Prognostic Predictor for Diverse Human Cancers: A Meta- and Bioinformatics Analysis.

Authors:  Halil Ibrahim Toy; Didem Okmen; Panagiota I Kontou; Alexandros G Georgakilas; Athanasia Pavlopoulou
Journal:  Cancers (Basel)       Date:  2019-06-05       Impact factor: 6.639

4.  Long non-coding RNA CASC19 is associated with the progression and prognosis of advanced gastric cancer.

Authors:  Wen-Jie Wang; Chang-An Guo; Rui Li; Zi-Peng Xu; Jian-Ping Yu; Yan Ye; Jun Zhao; Jing Wang; Wen-An Wang; An Zhang; Hong-Tao Li; Chen Wang; Hong-Bin Liu
Journal:  Aging (Albany NY)       Date:  2019-08-15       Impact factor: 5.682

5.  lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma.

Authors:  Hideharu Yamada; Masanobu Takahashi; Munenori Watanuki; Mika Watanabe; Sakura Hiraide; Ken Saijo; Keigo Komine; Chikashi Ishioka
Journal:  Oncol Lett       Date:  2021-04-08       Impact factor: 2.967

Review 6.  The role of FOXD2-AS1 in cancer: a comprehensive study based on data mining and published articles.

Authors:  Yongping Zhang; Chaojie Liang; Yu Zhang; Zhinmin Wang; Ruihuan Li; Zhigang Wei; Jiansheng Guo
Journal:  Biosci Rep       Date:  2020-11-27       Impact factor: 3.840

7.  SNP-SNP interactions of oncogenic long non-coding RNAs HOTAIR and HOTTIP on gastric cancer susceptibility.

Authors:  Esmat Abdi; Saeid Latifi-Navid; Saber Zahri; Vahid Kholghi-Oskooei; Behdad Mostafaiy; Abbas Yazdanbod; Farhad Pourfarzi
Journal:  Sci Rep       Date:  2020-10-07       Impact factor: 4.379

  7 in total

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