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Lung adenocarcinoma metastasis is suppressed by the alveolar lineage transcription factors GATA6 and HOPX

ABSTRACT: Molecular programs that mediate normal cell differentiation are required for oncogenesis and tumor cell survival in certain types of cancers. How cell lineage restricted genes specifically influence metastatic progression is poorly defined. In lung cancers, we uncovered an alveolar cell-selective transcriptional program that preferentially correlates with lung adenocarcinoma metastasis. This program is required for epithelial specification in the distal airways and is partially regulated by the lineage transcription factors GATA6 and HOPX. These factors cooperatively restrain the metastatic competence of adenocarcinoma cells, without affecting their survival, through the modulation of alveologenic and invasogenic target genes. Thus, GATA6 and HOPX are critical nodes in a lineage-selective pathway that directly links alveolar cell fate with metastasis suppresion in the lung adenocarcinoma subtype. mRNA profiles of human lung Adenocarcinoma PC9 cell lines infected with lentivirus harboring shRNA of control (Arab1) and shRNA of both GATA6 and HOPX were generated by deep sequencing, in triplicate, using Illumina HiSeq2000.

ORGANISM(S): Homo sapiens

SUBMITTER: Cheung WK

PROVIDER: S-ECPF-GEOD-39121 | biostudies-other | 2013 Jun

REPOSITORIES: biostudies-other

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Project description:BackgroundLung adenocarcinoma (LUAD) is one of the most common cancers worldwide. The etiology and pathophysiology of LUAD remain unclear. The aim of the present study was to identify the key genes, miRNAs and transcription factors (TFs) associated with the pathogenesis and prognosis of LUAD.MethodsThree gene expression profiles (GSE43458, GSE32863, GSE74706) of LUAD were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by GEO2R.The Gene Ontology (GO) terms, pathways, and protein-protein interactions (PPIs) of these DEGs were analyzed. Bases on DEGs, the miRNAs and TFs were predicted. Furthermore, TF-gene-miRNA co-expression network was constructed to identify key genes, miRNAs and TFs by bioinformatic methods. The expressions and prognostic values of key genes, miRNAs and TFs were carried out through The Cancer Genome Atlas (TCGA) database and Kaplan Meier-plotter (KM) online dataset.ResultsA total of 337 overlapped DEGs (75 upregulated and 262 downregulated) of LUAD were identified from the three GSE datasets. Moreover, 851 miRNAs and 29 TFs were identified to be associated with these DEGs. In total, 10 hub genes, 10 key miRNAs and 10 key TFs were located in the central hub of the TF-gene-miRNA co-expression network, and validated using The Cancer Genome Atlas (TCGA) database. Specifically, seven genes (PHACTR2, MSRB3, GHR, PLSCR4, EPB41L2, NPNT, FBXO32), two miRNAs (hsa-let-7e-5p, hsa-miR-17-5p) and four TFs (STAT6, E2F1, ETS1, JUN) were identified to be associated with prognosis of LUAD, which have significantly different expressions between LUAD and normal lung tissue. Additionally, the miRNA/gene co-expression analysis also revealed that hsa-miR-17-5p and PLSCR4 have a significant negative co-expression relationship (r=?0.33, P=1.67e-14) in LUAD.ConclusionsOur study constructed a regulatory network of TF-gene-miRNA in LUAD, which may provide new insights about the interaction between genes, miRNAs and TFs in the pathogenesis of LUAD, and identify potential biomarkers or therapeutic targets for LUAD.

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Lung adenocarcinoma metastasis is suppressed by the alveolar lineage transcription factors GATA6 and HOPX

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