Lead DEAD/H box helicase biomarkers with the therapeutic potential identified by integrated bioinformatic approaches in lung cancer.

Bioinformatics Biomarker Clinical significance DEAD/H box Helicase Lung cancer

Journal

Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369

Informations de publication

Date de publication:
2021
Historique:
received: 02 09 2020
revised: 02 12 2020
accepted: 08 12 2020
entrez: 11 1 2021
pubmed: 12 1 2021
medline: 12 1 2021
Statut: epublish

Résumé

DEAD/H box helicases are implicated in lung cancer but have not been systematically investigated for their clinical significance and function. In this study, we aimed to evaluate the potential of DEAD/H box helicases as prognostic biomarkers and therapeutic targets in lung cancer by integrated bioinformatic analysis of multivariate large-scale databases. Survival and differential expression analysis of these helicases enabled us to identify four biomarkers with the most significant alterations. These were found to be the negative prognostic factors DDX11, DDX55 and DDX56, and positive prognostic factor DDX5. Pathway enrichment analysis indicates that MYC signalling is negatively associated with expression levels of the DDX5 gene while positively associated with that of DDX11, DDX55 and DDX56. High expression levels of the DDX5 gene is associated with low mutation levels of TP53 and MUC16, the two most frequently mutated genes in lung cancer. In contrast, high expression levels of DDX11, DDX55 and DDX56 genes are associated with high levels of TP53 and MUC16 mutation. The tumour-infiltrated CD8 + T and B cells positively correlate with levels of DDX5 gene expression, while negatively correlate with that of the other three DEAD box helicases, respectively. Moreover, the DDX5-associated miRNA profile is distinguished from the miRNA profiles of DDX11, DDX55 and DDX56, although each DDX has a different miRNA signature. The identification of these four DDX helicases as biomarkers will be valuable for prognostic prediction and targeted therapeutic development in lung cancer.

Identifiants

pubmed: 33425256
doi: 10.1016/j.csbj.2020.12.007
pii: S2001-0370(20)30532-8
pmc: PMC7779375
doi:

Types de publication

Journal Article

Langues

eng

Pagination

261-278

Informations de copyright

© 2020 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Yuxin Cui (Y)

Cardiff China Research Collaborative, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.

Adam Hunt (A)

Cardiff China Research Collaborative, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.

Zhilei Li (Z)

Department of Pharmacy, Zhujiang Hospital of Southern Medical University, Guangzhou 510282, PR China.

Emily Birkin (E)

Cardiff & Vale University Health Board, University Hospital of Wales, Heath Park, Cardiff CF14 4XW, UK.

Jane Lane (J)

Cardiff China Research Collaborative, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.

Fiona Ruge (F)

Cardiff China Research Collaborative, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.

Wen G Jiang (WG)

Cardiff China Research Collaborative, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.

Classifications MeSH