116
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Association of the selenoprotein 15-kDa (SEP15) polymorphisms with cancer risk: a meta-analysis

ORCID Icon, , , &
Pages 1297-1306 | Received 28 May 2019, Accepted 07 Oct 2019, Published online: 30 Oct 2019
 

Abstract

Selenoproteins are involved in antioxidant defense, the redox signaling pathway and cell homeostasis. Primary studies have shown that single-nucleotide polymorphisms in the selenoprotein gene (SEP15) are associated with cancer risk. However, conflicting outcomes warrant a meta-analysis to obtain more precise estimates. Literature search yielded 18 case–control studies from 12 articles. We calculated pooled odds ratios (OR) and 95% confidence intervals (CI) of two SEP15 polymorphisms (rs5845 and rs5859) using standard genetic models (homozygous, recessive, dominant and codominant). Subgroup analysis was based on statistical power (80% cutoff) and cancer type (breast/respiratory/genitourinary/colorectal). Heterogeneity of the outcomes necessitated examining their sources (outlier treatment). Multiple comparison outcomes were corrected with the False Discovery Rate (PaF). Our core findings lay in the post-outlier recessive subgroup outcomes, where risks in the powered study (≥ 80%) was increased (OR 1.26, 95% CI 1.02–1.57, PaF = 0.047) while that in genitourinary cancer was protective (OR 0.29, 95% CI 0.20–0.43, PaF < 10−4). The potency of outlier treatment in unmasking significant associations and generating homogeneity provides good evidence of SEP15’s role in cancer. In the clinical sense, selenium chemo-intervention may be of benefit among persons with particular SEP15 genotypes.

Abbreviations
A=

number of unduplicated articles that contributed to instability

AM=

analysis model

B=

number of robust comparisons

BC=

breast cancer

BLC=

bladder cancer

cDNA=

complementary deoxyribonucleic acid

CI=

confidence interval

CID=

confidence interval difference

CRC=

colorectal cancer

D=

decreased risk

EH=

eliminated heterogeneity

F=

fixed-effects

FDR=

False Discovery Rate

GUC=

genitourinary cancers

GS=

gained significance

HB=

hospital-based

HWE=

Hardy–Weinberg Equilibrium

I=

increased risk

I2=

measure of heterogeneity

kDa=

kiloDalton

LAC=

laryngeal cancer

LUC=

lung cancer

maf=

minor allele frequency

n=

number of studies

N=

number of comparisons

NM=

not mentioned

NOS=

Newcastle-Ottawa Scale

OR=

odds ratio

Pa=

P value for association

P=

P value for association (pre-FDR)

PaF=

P value for association FDR-corrected

Pb=

P value for heterogeneity

PB=

population-based

PC=

prostate cancer

PRISMA=

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

PRO=

pre-outlier

PSO=

post-outlier

R=

random-effects

[R]=

reference

RC=

respiratory cancers

RNS=

retained non-significance

ROS=

reactive oxygen species

SEP=

selenoproteins

SEP15=

selenoprotein gene

SNP=

single nucleotide polymorphism

SW=

Shapiro-Wilk test

USA=

United States of America

vv=

variant

wv=

heterozygous

ww=

wild-type

Availability of data and material

Data and related materials are supplied as supplementary files.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Noel Pabalan

Noel Pabalan and Phuntila Tharabenjasin contributed in content and study design conception; Noel Pabalan and Phuntila Tharabenjasin wrote the initial, subsequent, and final drafts; Data extraction and analysis were done by Noel Pabalan, Phuntila Tharabenjasin, and Hamdi Jarjanazi. Review of the initial and final drafts was done by Sitakan Natphopsuk and Niramai Ekaratcharoenchai.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 633.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.