TY - JOUR
T1 - Prognostic value of survival of MicroRNAs signatures in non-small cell lung cancer
AU - Chen, Bo
AU - Gao, Tianshun
AU - Yuan, Weiwei
AU - Zhao, Weihong
AU - Wang, Tza Huei
AU - Wu, Jianqing
N1 - Funding Information:
The results are in whole or part based upon data generated by the TCGA. This work was supported by the International Science & Technology Cooperation Program of China (No. 2014DFA31940); The National Natural Science Foundation of China (Nos. 81572259 and 81302011); The Jiangsu Province’s Youth Medical Talents Program (QNRC2016593); The Jiangsu Provincial Key Discipline of Medicine (ZDXKA2016003); The Six Talent Peaks Project in Jiangsu Province (2018-WSN-003).
Funding Information:
The results are in whole or part based upon data generated by the TCGA. This work was supported by the International Science & Technology Cooperation Program of China (No. 2014DFA31940); The National Natural Science Foundation of China (Nos. 81572259 and 81302011); The Jiangsu Province's Youth Medical Talents Program (QNRC2016593); The Jiangsu Provincial Key Discipline of Medicine (ZDXKA2016003); The Six Talent Peaks Project in Jiangsu Province (2018-WSN-003).
Publisher Copyright:
© The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
PY - 2019
Y1 - 2019
N2 - Introduction: Accumulating evidence showed that a large number of microRNAs (miRNAs) are abnormally expressed in lung cancer tissues and play critical roles in cancer development and progression. The aim of this study is to identify the differentially expressed miRNAs (DEMs) between non-small cell lung cancer (NSCLC) and normal lung tissues, and evaluate the prognostic value and potential target gene functional enrichment of the DEMs. Materials and Methods: We first downloaded the high-throughput miRNA data from The Cancer Genome Atlas Project (TCGA) database, and subsequently analyzed the data using bioinformatics analysis including limma package in R, Kaplan-Meier curve and Log-rank method, and several online analysis tools. Results: A total of 125 DEMs and 138 DEMs were respectively identified in lung adenocarcinoma (LUAD) tissues and lung squamous cell carcinoma (LUSC) tissues compared with their matched normal tissues. Moreover, we found that the prognostic function of the eight miRNAs (miR-375, miR-148a, miR-29b-1 and miR-584 for LUAD; miR-4746, miR-326, miR-93 and miR-671 for LUSC). Furthermore, the two four-miRNA signatures were constructed and found to be an independent prognostic factor for LUAD and LUSC patients, respectively. Additionally, our results indicated that the target genes of eight miRNAs may be involved in various pathways related to NSCLC, including PI3K-Akt, TGF-beta, FoxO, Ras, GPI-anchor biosynthesis and metabolic, Rap1, HIF-1 and proteasome. Conclusion: Overall, eight miRNAs were closely correlated with survival of NSCLC patients, and the constructed two four-miRNA signatures could be respectively used as prognostic markers in LUAD and LUSC patients.
AB - Introduction: Accumulating evidence showed that a large number of microRNAs (miRNAs) are abnormally expressed in lung cancer tissues and play critical roles in cancer development and progression. The aim of this study is to identify the differentially expressed miRNAs (DEMs) between non-small cell lung cancer (NSCLC) and normal lung tissues, and evaluate the prognostic value and potential target gene functional enrichment of the DEMs. Materials and Methods: We first downloaded the high-throughput miRNA data from The Cancer Genome Atlas Project (TCGA) database, and subsequently analyzed the data using bioinformatics analysis including limma package in R, Kaplan-Meier curve and Log-rank method, and several online analysis tools. Results: A total of 125 DEMs and 138 DEMs were respectively identified in lung adenocarcinoma (LUAD) tissues and lung squamous cell carcinoma (LUSC) tissues compared with their matched normal tissues. Moreover, we found that the prognostic function of the eight miRNAs (miR-375, miR-148a, miR-29b-1 and miR-584 for LUAD; miR-4746, miR-326, miR-93 and miR-671 for LUSC). Furthermore, the two four-miRNA signatures were constructed and found to be an independent prognostic factor for LUAD and LUSC patients, respectively. Additionally, our results indicated that the target genes of eight miRNAs may be involved in various pathways related to NSCLC, including PI3K-Akt, TGF-beta, FoxO, Ras, GPI-anchor biosynthesis and metabolic, Rap1, HIF-1 and proteasome. Conclusion: Overall, eight miRNAs were closely correlated with survival of NSCLC patients, and the constructed two four-miRNA signatures could be respectively used as prognostic markers in LUAD and LUSC patients.
KW - Functional enrichment
KW - MicroRNAs
KW - Non-small cell lung cancer
KW - Prognostic value
KW - Survival analysis
UR - https://www.scopus.com/pages/publications/85074362731
UR - https://www.scopus.com/pages/publications/85074362731#tab=citedBy
U2 - 10.7150/jca.30336
DO - 10.7150/jca.30336
M3 - Article
AN - SCOPUS:85074362731
SN - 1837-9664
VL - 10
SP - 5793
EP - 5804
JO - Journal of Cancer
JF - Journal of Cancer
IS - 23
ER -