Association Between Genetically Proxied Inhibition of HMG-CoA Reductase and Epithelial Ovarian Cancer.


Journal

JAMA
ISSN: 1538-3598
Titre abrégé: JAMA
Pays: United States
ID NLM: 7501160

Informations de publication

Date de publication:
18 02 2020
Historique:
entrez: 19 2 2020
pubmed: 19 2 2020
medline: 5 3 2020
Statut: ppublish

Résumé

Preclinical and epidemiological studies indicate a potential chemopreventive role of statins in epithelial ovarian cancer risk. To evaluate the association of genetically proxied inhibition of 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase (ie, genetic variants related to lower function of HMG-CoA reductase, target of statins) with epithelial ovarian cancer among the general population and in BRCA1/2 mutation carriers. Single-nucleotide polymorphisms (SNPs) in HMGCR, NPC1L1, and PCSK9 associated with low-density lipoprotein (LDL) cholesterol in a genome-wide association study (GWAS) meta-analysis (N ≤196 475) were used to proxy therapeutic inhibition of HMG-CoA reductase, Niemann-Pick C1-Like 1 (NPC1L1) and proprotein convertase subtilisin/kexin type 9 (PCSK9), respectively. Summary statistics were obtained for these SNPs from a GWAS meta-analysis of case-control analyses of invasive epithelial ovarian cancer in the Ovarian Cancer Association Consortium (OCAC; N = 63 347) and from a GWAS meta-analysis of retrospective cohort analyses of epithelial ovarian cancer among BRCA1/2 mutation carriers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA; N = 31 448). Across the 2 consortia, participants were enrolled between 1973 and 2014 and followed up through 2015. OCAC participants came from 14 countries and CIMBA participants came from 25 countries. SNPs were combined into multi-allelic models and mendelian randomization estimates representing lifelong inhibition of targets were generated using inverse-variance weighted random-effects models. Primary exposure was genetically proxied inhibition of HMG-CoA reductase and secondary exposures were genetically proxied inhibition of NPC1L1 and PCSK9 and genetically proxied circulating LDL cholesterol levels. Overall and histotype-specific invasive epithelial ovarian cancer (general population) and epithelial ovarian cancer (BRCA1/2 mutation carriers), measured as ovarian cancer odds (general population) and hazard ratio (BRCA1/2 mutation carriers). The OCAC sample included 22 406 women with invasive epithelial ovarian cancer and 40 941 control individuals and the CIMBA sample included 3887 women with epithelial ovarian cancer and 27 561 control individuals. Median ages for the cohorts ranged from 41.5 to 59.0 years and all participants were of European ancestry. In the primary analysis, genetically proxied HMG-CoA reductase inhibition equivalent to a 1-mmol/L (38.7-mg/dL) reduction in LDL cholesterol was associated with lower odds of epithelial ovarian cancer (odds ratio [OR], 0.60 [95% CI, 0.43-0.83]; P = .002). In BRCA1/2 mutation carriers, genetically proxied HMG-CoA reductase inhibition was associated with lower ovarian cancer risk (hazard ratio, 0.69 [95% CI, 0.51-0.93]; P = .01). In secondary analyses, there were no significant associations of genetically proxied inhibition of NPC1L1 (OR, 0.97 [95% CI, 0.53-1.75]; P = .91), PCSK9 (OR, 0.98 [95% CI, 0.85-1.13]; P = .80), or circulating LDL cholesterol (OR, 0.98 [95% CI, 0.91-1.05]; P = .55) with epithelial ovarian cancer. Genetically proxied inhibition of HMG-CoA reductase was significantly associated with lower odds of epithelial ovarian cancer. However, these findings do not indicate risk reduction from medications that inhibit HMG-CoA reductase; further research is needed to understand whether there is a similar association with such medications.

Identifiants

pubmed: 32068819
pii: 2761089
doi: 10.1001/jama.2020.0150
pmc: PMC7042851
doi:

Substances chimiques

Cholesterol, LDL 0
Hydroxymethylglutaryl-CoA Reductase Inhibitors 0
Membrane Transport Proteins 0
NPC1L1 protein, human 0
HMGCR protein, human EC 1.1.1.-
Hydroxymethylglutaryl CoA Reductases EC 1.1.1.-
PCSK9 protein, human EC 3.4.21.-
Proprotein Convertase 9 EC 3.4.21.-

Types de publication

Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

646-655

Subventions

Organisme : Medical Research Council
ID : MC_UU_00011/1
Pays : United Kingdom
Organisme : Cancer Research UK,
Pays : International

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Auteurs

James Yarmolinsky (J)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Caroline J Bull (CJ)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom.

Emma E Vincent (EE)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom.

Jamie Robinson (J)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Axel Walther (A)

Bristol Cancer Institute, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom.

George Davey Smith (GD)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Sarah J Lewis (SJ)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Caroline L Relton (CL)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Richard M Martin (RM)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom.

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Classifications MeSH