Genetic variants in DDO and PEX5L in peroxisome-related pathways predict non-small cell lung cancer survival.

dc.contributor.author

Chen, Allan S

dc.contributor.author

Liu, Hongliang

dc.contributor.author

Wu, Yufeng

dc.contributor.author

Luo, Sheng

dc.contributor.author

Patz, Edward F

dc.contributor.author

Glass, Carolyn

dc.contributor.author

Su, Li

dc.contributor.author

Du, Mulong

dc.contributor.author

Christiani, David C

dc.contributor.author

Wei, Qingyi

dc.date.accessioned

2022-06-01T13:21:21Z

dc.date.available

2022-06-01T13:21:21Z

dc.date.issued

2022-05-03

dc.date.updated

2022-06-01T13:21:20Z

dc.description.abstract

Peroxisomes play a role in lipid metabolism and regulation of reactive oxygen species, but its role in development and progression of non-small cell lung cancer (NSCLC) is not well understood. Here, we investigated the associations between 9708 single-nucleotide polymorphisms (SNPs) in 113 genes in the peroxisome-related pathways and survival of NSCLC patients from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) and the Harvard Lung Cancer Susceptibility (HLCS) study. In 1185 NSCLC patients from the PLCO trial, we found that 213 SNPs were significantly associated with NSCLC overall survival (OS) (p ≤ 0.05, Bayesian false discovery probability [BFDP] ≤ 0.80), of which eight SNPs were validated in the HLCS data set. In a multivariate Cox proportional hazards regression model, two independent SNPs (rs9384742 DDO and rs9825224 PEX5L) were significantly associated with NSCLC survival (hazards ratios [HR] of 1.17 with 95% CI [confidence interval] of 1.06-1.28 and 0.86 with 95% CI of 0.77-0.96, respectively). Patients with one or two protective genotypes had a significantly higher OS (HR: 0.787 [95% CI: 0.620-0.998] and 0.691 [95% CI: 0.543-0.879], respectively). Further expression quantitative trait loci analysis using whole blood and lung tissue showed that the minor allele of rs9384742 DDO was significantly associated with decreased messenger RNA (mRNA) expression levels and that DDO expression was also decreased in NSCLC tumor tissue. Additionally, high PEX5L expression levels were significantly associated with lower survival of NSCLC. Our data suggest that variants in these peroxisome-related genes may influence gene regulation and are potential predictors of NSCLC OS, once validated by additional studies.

dc.identifier.issn

0899-1987

dc.identifier.issn

1098-2744

dc.identifier.uri

https://hdl.handle.net/10161/25062

dc.language

eng

dc.publisher

Wiley

dc.relation.ispartof

Molecular carcinogenesis

dc.relation.isversionof

10.1002/mc.23400

dc.subject

bioinformatics

dc.subject

biostatistics

dc.subject

lung cancer

dc.subject

peroxisomes

dc.title

Genetic variants in DDO and PEX5L in peroxisome-related pathways predict non-small cell lung cancer survival.

dc.type

Journal article

duke.contributor.orcid

Luo, Sheng|0000-0003-4214-5809

duke.contributor.orcid

Patz, Edward F|0000-0003-3374-1596

duke.contributor.orcid

Glass, Carolyn|0000-0002-8850-9906

duke.contributor.orcid

Wei, Qingyi|0000-0002-3845-9445|0000-0003-4115-4439

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Institutes and Centers

pubs.organisational-group

Biostatistics & Bioinformatics

pubs.organisational-group

Pharmacology & Cancer Biology

pubs.organisational-group

Medicine

pubs.organisational-group

Pathology

pubs.organisational-group

Radiology

pubs.organisational-group

Medicine, Medical Oncology

pubs.organisational-group

Radiology, Cardiothoracic Imaging

pubs.organisational-group

Duke Cancer Institute

pubs.organisational-group

Duke Clinical Research Institute

pubs.organisational-group

Institutes and Provost's Academic Units

pubs.organisational-group

University Institutes and Centers

pubs.organisational-group

Duke Global Health Institute

pubs.organisational-group

Population Health Sciences

pubs.publication-status

Published

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2022Chen_et_al2022Molecular_Carcinogenesis.pdf
Size:
1.15 MB
Format:
Adobe Portable Document Format
Description:
Published version