Molecular Signature of Subtypes of Non-Small-Cell Lung Cancer by Large-Scale Transcriptional Profiling: Identification of Key Modules and Genes by Weighted Gene Co-Expression Network Analysis (WGCNA).

WGCNA adenocarcinoma next-generation sequencing non-small-cell lung cancer squamous cell lung cancer transcriptomic profiling

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
21 Dec 2019
Historique:
received: 12 11 2019
revised: 16 12 2019
accepted: 19 12 2019
entrez: 28 12 2019
pubmed: 28 12 2019
medline: 28 12 2019
Statut: epublish

Résumé

Non-small-cell lung cancer (NSCLC) represents a heterogeneous group of malignancies consisting essentially of adenocarcinoma (ADC) and squamous cell carcinoma (SCC). Although the diagnosis and treatment of ADC and SCC have been greatly improved in recent decades, there is still an urgent need to identify accurate transcriptome profile associated with the histological subtypes of NSCLC. The present study aims to identify the key dysregulated pathways and genes involved in the development of lung ADC and SCC and to relate them with the clinical traits. The transcriptional changes between tumour and normal lung tissues were investigated by RNA-seq. Gene ontology (GO), canonical pathways analysis with the prediction of upstream regulators, and weighted gene co-expression network analysis (WGCNA) to identify co-expressed modules and hub genes were used to explore the biological functions of the identified dysregulated genes. It was indicated that specific gene signatures differed significantly between ADC and SCC related to the distinct pathways. Of identified modules, four and two modules were the most related to clinical features in ADC and SCC, respectively.

Identifiants

pubmed: 31877723
pii: cancers12010037
doi: 10.3390/cancers12010037
pmc: PMC7017323
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Narodowe Centrum Badań i Rozwoju
ID : STRATEGMED2/266484/2/NCBR/2015

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Magdalena Niemira (M)

Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.

Francois Collin (F)

Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, 15-276 Bialystok, Poland.

Anna Szalkowska (A)

Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.

Agnieszka Bielska (A)

Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.

Karolina Chwialkowska (K)

Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, 15-276 Bialystok, Poland.

Joanna Reszec (J)

Department of Medical Pathomorphology, Medical University of Bialystok, 15-276 Bialystok, Poland.

Jacek Niklinski (J)

Department of Clinical Molecular Biology, Medical University of Bialystok, 15-276 Bialystok, Poland.

Miroslaw Kwasniewski (M)

Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, 15-276 Bialystok, Poland.

Adam Kretowski (A)

Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.
Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland.

Classifications MeSH