Journal
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
11
10
2019
revised:
07
01
2020
accepted:
20
03
2020
pubmed:
3
4
2020
medline:
16
9
2021
entrez:
3
4
2020
Statut:
ppublish
Résumé
Several oncogenic signals are involved in the synthesis, metabolism, transportation, and modulation of cholesterol. However, the roles of genetic variants of the cholesterol pathway genes in cancer survival remain unclear. We investigated associations between 26,781 common SNPs in 209 genes of the cholesterol pathway and non-small cell lung cancer (NSCLC) survival by utilizing genotyping data from two published genome-wide association studies. We used multivariate Cox proportional hazards regression and expression quantitative trait loci analyses to identify survival-associated SNPs and their correlations with the corresponding mRNA expression, respectively. We also used the Kaplan-Meier survival analysis and bioinformatics functional prediction to further evaluate the identified independent SNPs. We found five independent SNPs ( Genetic variants of Genetic variants of
Sections du résumé
BACKGROUND
Several oncogenic signals are involved in the synthesis, metabolism, transportation, and modulation of cholesterol. However, the roles of genetic variants of the cholesterol pathway genes in cancer survival remain unclear.
METHODS
We investigated associations between 26,781 common SNPs in 209 genes of the cholesterol pathway and non-small cell lung cancer (NSCLC) survival by utilizing genotyping data from two published genome-wide association studies. We used multivariate Cox proportional hazards regression and expression quantitative trait loci analyses to identify survival-associated SNPs and their correlations with the corresponding mRNA expression, respectively. We also used the Kaplan-Meier survival analysis and bioinformatics functional prediction to further evaluate the identified independent SNPs.
RESULTS
We found five independent SNPs (
CONCLUSIONS
Genetic variants of
IMPACT
Genetic variants of
Identifiants
pubmed: 32238407
pii: 1055-9965.EPI-19-1262
doi: 10.1158/1055-9965.EPI-19-1262
pmc: PMC7269811
mid: NIHMS1580159
doi:
Substances chimiques
APOB protein, human
0
Apolipoprotein B-100
0
Cadherins
0
H-cadherin
0
Cholesterol
97C5T2UQ7J
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1204-1213Subventions
Organisme : NINDS NIH HHS
ID : R01 NS091307
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA074386
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA014236
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA092824
Pays : United States
Organisme : NCI NIH HHS
ID : R35 CA197449
Pays : United States
Informations de copyright
©2020 American Association for Cancer Research.
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