Association of genetic variants of <i>TMEM135</i> and <i>PEX5</i> in the peroxisome pathway with cutaneous melanoma-specific survival.

dc.contributor.author

Wang, Haijiao

dc.contributor.author

Liu, Hongliang

dc.contributor.author

Dai, Wei

dc.contributor.author

Luo, Sheng

dc.contributor.author

Amos, Christopher I

dc.contributor.author

Lee, Jeffrey E

dc.contributor.author

Li, Xin

dc.contributor.author

Yue, Ying

dc.contributor.author

Nan, Hongmei

dc.contributor.author

Wei, Qingyi

dc.date.accessioned

2021-05-01T15:10:08Z

dc.date.available

2021-05-01T15:10:08Z

dc.date.issued

2021-03

dc.date.updated

2021-05-01T15:10:07Z

dc.description.abstract

Background

Peroxisomes are ubiquitous and dynamic organelles that are involved in the metabolism of reactive oxygen species (ROS) and lipids. However, whether genetic variants in the peroxisome pathway genes are associated with survival in patients with melanoma has not been established. Therefore, our aim was to identify additional genetic variants in the peroxisome pathway that may provide new prognostic biomarkers for cutaneous melanoma (CM).

Methods

We assessed the associations between 8,397 common single-nucleotide polymorphisms (SNPs) in 88 peroxisome pathway genes and CM disease-specific survival (CMSS) in a two-stage analysis. For the discovery, we extracted the data from a published genome-wide association study from The University of Texas MD Anderson Cancer Center (MDACC). We then replicated the results in another dataset from the Nurse Health Study (NHS)/Health Professionals Follow-up Study (HPFS).

Results

Overall, 95 (11.1%) patients in the MDACC dataset and 48 (11.7%) patients in the NHS/HPFS dataset died of CM. We found 27 significant SNPs in the peroxisome pathway genes to be associated with CMSS in both datasets after multiple comparison correction using the Bayesian false-discovery probability method. In stepwise Cox proportional hazards regression analysis, with adjustment for other covariates and previously published SNPs in the MDACC dataset, we identified 2 independent SNPs (TMEM135 rs567403 C>G and PEX5 rs7969508 A>G) that predicted CMSS (P=0.003 and 0.031, respectively, in an additive genetic model). The expression quantitative trait loci analysis further revealed that the TMEM135 rs567403 GG and PEX5 rs7969508 GG genotypes were associated with increased and decreased levels of mRNA expression of their genes, respectively.

Conclusions

Once our findings are replicated by other investigators, these genetic variants may serve as novel biomarkers for the prediction of survival in patients with CM.
dc.identifier

atm-09-05-396

dc.identifier.issn

2305-5839

dc.identifier.issn

2305-5847

dc.identifier.uri

https://hdl.handle.net/10161/22721

dc.language

eng

dc.publisher

AME Publishing Company

dc.relation.ispartof

Annals of translational medicine

dc.relation.isversionof

10.21037/atm-20-2117

dc.subject

Cutaneous melanoma (CM)

dc.subject

expression quantitative trait loci

dc.subject

melanoma-specific survival

dc.subject

peroxisome

dc.subject

single-nucleotide polymorphism (SNP)

dc.title

Association of genetic variants of TMEM135 and PEX5 in the peroxisome pathway with cutaneous melanoma-specific survival.

dc.type

Journal article

duke.contributor.orcid

Luo, Sheng|0000-0003-4214-5809

duke.contributor.orcid

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

pubs.begin-page

396

pubs.issue

5

pubs.organisational-group

School of Medicine

pubs.organisational-group

Duke Cancer Institute

pubs.organisational-group

Population Health Sciences

pubs.organisational-group

Duke Global Health Institute

pubs.organisational-group

Medicine, Medical Oncology

pubs.organisational-group

Duke

pubs.organisational-group

Institutes and Centers

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

University Institutes and Centers

pubs.organisational-group

Institutes and Provost's Academic Units

pubs.organisational-group

Medicine

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Duke Clinical Research Institute

pubs.organisational-group

Biostatistics & Bioinformatics

pubs.publication-status

Published

pubs.volume

9

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2021Wang_et_al2021ATM_melanoma_survival.pdf
Size:
2.44 MB
Format:
Adobe Portable Document Format
Description:
Published version