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Construction of a disease‐specific lncRNA‐miRNA‐mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a heterogeneous malignancy with a high incidence and poor prognosis. Exploration of the underlying mechanisms and effective prognostic indicators is conducive to clinical management and optimization of treatment. The RNA‐seq and clinical phenotype data of HCC were r...

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Autores principales: Zhang, Qi, Sun, Lin, Zhang, Qiuju, Zhang, Wei, Tian, Wei, Liu, Meina, Wang, Yupeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774738/
https://www.ncbi.nlm.nih.gov/pubmed/33232580
http://dx.doi.org/10.1002/cam4.3526
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author Zhang, Qi
Sun, Lin
Zhang, Qiuju
Zhang, Wei
Tian, Wei
Liu, Meina
Wang, Yupeng
author_facet Zhang, Qi
Sun, Lin
Zhang, Qiuju
Zhang, Wei
Tian, Wei
Liu, Meina
Wang, Yupeng
author_sort Zhang, Qi
collection PubMed
description Hepatocellular carcinoma (HCC) is a heterogeneous malignancy with a high incidence and poor prognosis. Exploration of the underlying mechanisms and effective prognostic indicators is conducive to clinical management and optimization of treatment. The RNA‐seq and clinical phenotype data of HCC were retrieved from The Cancer Genome Atlas (TCGA), and differential expression analysis was performed. Then, a differential lncRNA‐miRNA‐mRNA regulatory network was constructed, and the key genes were further identified and validated. By integrating this network with the online tool‐based ceRNA network, an HCC‐specific ceRNA network was obtained, and lncRNA‐miRNA‐mRNA regulatory axes were extracted. RNAs associated with prognosis were further obtained, and multivariate Cox regression models were established to identify the prognostic signature and nomogram. As a result, 198 DElncRNAs, 120 DEmiRNAs, and 2827 DEmRNAs were identified, and 30 key genes identified from the differential network were enriched in four cancer‐related pathways. Four HCC‐specific lncRNA‐miRNA‐mRNA regulatory axes were extracted, and SNHG11, CRNDE, MYLK‐AS1, E2F3, and CHEK1 were found to be related with HCC prognosis. Multivariate Cox regression analysis identified a prognostic signature, comprised of CRNDE, MYLK‐AS1, and CHEK1, for overall survival (OS) of HCC. A nomogram comprising the prognostic signature and pathological stage was established and showed some net clinical benefits. The AUC of the prognostic signature and nomogram for 1‐year, 3‐year, and 5‐year survival was 0.777 (0.657‐0.865), 0.722 (0.640‐0.848), and 0.630 (0.528‐0.823), and 0.751 (0.664‐0.870), 0.773 (0.707‐0.849), and 0.734 (0.638‐0.845), respectively. These results provided clues for the study of potential biomarkers and therapeutic targets for HCC. In addition, the obtained 30 key genes and 4 regulatory axes might also help elucidate the underlying mechanism of HCC.
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spelling pubmed-77747382021-01-05 Construction of a disease‐specific lncRNA‐miRNA‐mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma Zhang, Qi Sun, Lin Zhang, Qiuju Zhang, Wei Tian, Wei Liu, Meina Wang, Yupeng Cancer Med Clinical Cancer Research Hepatocellular carcinoma (HCC) is a heterogeneous malignancy with a high incidence and poor prognosis. Exploration of the underlying mechanisms and effective prognostic indicators is conducive to clinical management and optimization of treatment. The RNA‐seq and clinical phenotype data of HCC were retrieved from The Cancer Genome Atlas (TCGA), and differential expression analysis was performed. Then, a differential lncRNA‐miRNA‐mRNA regulatory network was constructed, and the key genes were further identified and validated. By integrating this network with the online tool‐based ceRNA network, an HCC‐specific ceRNA network was obtained, and lncRNA‐miRNA‐mRNA regulatory axes were extracted. RNAs associated with prognosis were further obtained, and multivariate Cox regression models were established to identify the prognostic signature and nomogram. As a result, 198 DElncRNAs, 120 DEmiRNAs, and 2827 DEmRNAs were identified, and 30 key genes identified from the differential network were enriched in four cancer‐related pathways. Four HCC‐specific lncRNA‐miRNA‐mRNA regulatory axes were extracted, and SNHG11, CRNDE, MYLK‐AS1, E2F3, and CHEK1 were found to be related with HCC prognosis. Multivariate Cox regression analysis identified a prognostic signature, comprised of CRNDE, MYLK‐AS1, and CHEK1, for overall survival (OS) of HCC. A nomogram comprising the prognostic signature and pathological stage was established and showed some net clinical benefits. The AUC of the prognostic signature and nomogram for 1‐year, 3‐year, and 5‐year survival was 0.777 (0.657‐0.865), 0.722 (0.640‐0.848), and 0.630 (0.528‐0.823), and 0.751 (0.664‐0.870), 0.773 (0.707‐0.849), and 0.734 (0.638‐0.845), respectively. These results provided clues for the study of potential biomarkers and therapeutic targets for HCC. In addition, the obtained 30 key genes and 4 regulatory axes might also help elucidate the underlying mechanism of HCC. John Wiley and Sons Inc. 2020-11-24 /pmc/articles/PMC7774738/ /pubmed/33232580 http://dx.doi.org/10.1002/cam4.3526 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Zhang, Qi
Sun, Lin
Zhang, Qiuju
Zhang, Wei
Tian, Wei
Liu, Meina
Wang, Yupeng
Construction of a disease‐specific lncRNA‐miRNA‐mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma
title Construction of a disease‐specific lncRNA‐miRNA‐mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma
title_full Construction of a disease‐specific lncRNA‐miRNA‐mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma
title_fullStr Construction of a disease‐specific lncRNA‐miRNA‐mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma
title_full_unstemmed Construction of a disease‐specific lncRNA‐miRNA‐mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma
title_short Construction of a disease‐specific lncRNA‐miRNA‐mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma
title_sort construction of a disease‐specific lncrna‐mirna‐mrna regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774738/
https://www.ncbi.nlm.nih.gov/pubmed/33232580
http://dx.doi.org/10.1002/cam4.3526
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