Multi-Omics Analysis Reveals a HIF Network and Hub Gene EPAS1 Associated with Lung Adenocarcinoma

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15120%2F18%3A73589775" target="_blank" >RIV/61989592:15120/18:73589775 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61988987:17110/18:A20020PR

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2352396418301889?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352396418301889?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ebiom.2018.05.024" target="_blank" >10.1016/j.ebiom.2018.05.024</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-Omics Analysis Reveals a HIF Network and Hub Gene EPAS1 Associated with Lung Adenocarcinoma

Popis výsledku v původním jazyce

Recent technological advancements have permitted high-throughput measurement of the human genome, epigenome, metabolome, transcriptome, and proteome at the population level. We hypothesized that subsets of genes identified from omic studies might have closely related biological functions and thus might interact directly at the network level. Therefore, we conducted an integrative analysis of multi-omic datasets of nonsmall cell lung cancer (NSCLC) to search for association patterns beyond the genome and transcriptome. A large, complex, and robust gene network containing well-known lung cancer-related genes, including EGFR and TERT, was identified from combined gene lists for lung adenocarcinoma. Members of the hypoxia-inducible factor (HIF) gene familywere at the center of this network. Subsequent sequencing of network hub geneswithin a subset of samples fromthe Transdisciplinary Research in Cancer of the Lung-International Lung Cancer Consortium (TRICL-ILCCO) consortium revealed a SNP (rs12614710) in EPAS1 associated with NSCLC that reached genome-wide significance (OR = 1.50; 95% CI: 1.31-1.72; p = 7.75 x 10(-9)). Using imputed data, we found that this SNP remained significant in the entire TRICL-ILCCO consortium (p =.03). Additional functional studies are warranted to better understand interrelationships among genetic polymorphisms, DNA methylation status, and EPAS1 expression.

Název v anglickém jazyce

Multi-Omics Analysis Reveals a HIF Network and Hub Gene EPAS1 Associated with Lung Adenocarcinoma

Popis výsledku anglicky

Recent technological advancements have permitted high-throughput measurement of the human genome, epigenome, metabolome, transcriptome, and proteome at the population level. We hypothesized that subsets of genes identified from omic studies might have closely related biological functions and thus might interact directly at the network level. Therefore, we conducted an integrative analysis of multi-omic datasets of nonsmall cell lung cancer (NSCLC) to search for association patterns beyond the genome and transcriptome. A large, complex, and robust gene network containing well-known lung cancer-related genes, including EGFR and TERT, was identified from combined gene lists for lung adenocarcinoma. Members of the hypoxia-inducible factor (HIF) gene familywere at the center of this network. Subsequent sequencing of network hub geneswithin a subset of samples fromthe Transdisciplinary Research in Cancer of the Lung-International Lung Cancer Consortium (TRICL-ILCCO) consortium revealed a SNP (rs12614710) in EPAS1 associated with NSCLC that reached genome-wide significance (OR = 1.50; 95% CI: 1.31-1.72; p = 7.75 x 10(-9)). Using imputed data, we found that this SNP remained significant in the entire TRICL-ILCCO consortium (p =.03). Additional functional studies are warranted to better understand interrelationships among genetic polymorphisms, DNA methylation status, and EPAS1 expression.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30401 - Health-related biotechnology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

EBioMedicine

ISSN

2352-3964

e-ISSN

—

Svazek periodika

2018

Číslo periodika v rámci svazku

32

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

9

Strana od-do

93-101

Kód UT WoS článku

000436312000014

EID výsledku v databázi Scopus

2-s2.0-85047757715