Literature DB >> 30442364

Three differential expression profiles of miRNAs as potential biomarkers for lung adenocarcinoma.

Rongjiong Zheng1, Wenjie Mao2, Zhennan Du3, Jun Zhang4, Mingming Wang5, Meiling Hu6.   

Abstract

Owing to the poor prognosis, novel biomarkers for lung adenocarcinoma (LACA) are needed nowadays. The aim of the study was to identify the differential miRNAs expression between lung cancer and normal tissues and evaluate the prognostic values of the miRNAs. Multidimensional data of 528 samples were retrieved from The Cancer Genome Atlas archive. Data analysis was based on a computational approach to detect survival-associated molecular signatures. A total of 191 differentially expressed miRNAs were identified between LACA tissues and normal tissues, including 88 up-regulated and 103 down-regulated miRNAs. The Kaplan-Meier survival method revealed the prognostic function of the three miRNAs (miR-1293, miR-873 and miR-1914). Cox regression analysis showed that the three-miRNA signature was an independent prognostic factor in LACA. The functional enrichment analysis suggested that the target genes of three miRNAs may be involved in various pathways related to the cancer. This study demonstrated that the three-miRNA signature (miR-1293, miR-873 and miR-1914) could be used as a prognostic marker in LACA.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Lung adenocarcinoma; MiRNAs; Survival

Mesh:

Substances:

Year:  2018        PMID: 30442364     DOI: 10.1016/j.bbrc.2018.11.046

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  5 in total

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Authors:  Lorenzo F Sempere; Asfar S Azmi; Anna Moore
Journal:  Wiley Interdiscip Rev RNA       Date:  2021-05-17       Impact factor: 9.957

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Journal:  PeerJ       Date:  2021-01-08       Impact factor: 2.984

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Authors:  Bing Chen; Shiya Zheng; Feng Jiang
Journal:  PeerJ       Date:  2021-09-16       Impact factor: 2.984

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Authors:  Zhihua Liang; Jianhui Xu; Zhancheng Ma; Guihua Li; Wanhong Zhu
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

  5 in total

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