Impact of insomnia on ovarian cancer risk and survival: a Mendelian randomization study.

Epithelial ovarian cancer Genome-wide association study Insomnia Mendelian randomization Patient survival The ovarian cancer association consortium

Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
31 May 2024
Historique:
received: 25 10 2023
revised: 14 05 2024
accepted: 16 05 2024
medline: 2 6 2024
pubmed: 2 6 2024
entrez: 1 6 2024
Statut: aheadofprint

Résumé

Insomnia is the most common sleep disorder in patients with epithelial ovarian cancer (EOC). We investigated the causal association between genetically predicted insomnia and EOC risk and survival through a two-sample Mendelian randomization (MR) study. Insomnia was proxied using genetic variants identified in a genome-wide association study (GWAS) meta-analysis of UK Biobank and 23andMe. Using genetic associations with EOC risk and overall survival from the Ovarian Cancer Association Consortium (OCAC) GWAS in 66,450 women (over 11,000 cases with clinical follow-up), we performed Iterative Mendelian Randomization and Pleiotropy (IMRP) analysis followed by a set of sensitivity analyses. Genetic associations with survival and response to treatment in ovarian cancer study of The Cancer Genome Atlas (TCGA) were estimated controlling for chemotherapy and clinical factors. Insomnia was associated with higher risk of endometrioid EOC (OR = 1.60, 95% CI 1.05-2.45) and lower risk of high-grade serous EOC (HGSOC) and clear cell EOC (OR = 0.79 and 0.48, 95% CI 0.63-1.00 and 0.27-0.86, respectively). In survival analysis, insomnia was associated with shorter survival of invasive EOC (OR = 1.45, 95% CI 1.13-1.87) and HGSOC (OR = 1.4, 95% CI 1.04-1.89), which was attenuated after adjustment for body mass index and reproductive age. Insomnia was associated with reduced survival in TCGA HGSOC cases who received standard chemotherapy (OR = 2.48, 95% CI 1.13-5.42), but was attenuated after adjustment for clinical factors. This study supports the impact of insomnia on EOC risk and survival, suggesting treatments targeting insomnia could be pivotal for prevention and improving patient survival. National Institutes of Health, National Cancer Institute. Full funding details are provided in acknowledgments.

Sections du résumé

BACKGROUND BACKGROUND
Insomnia is the most common sleep disorder in patients with epithelial ovarian cancer (EOC). We investigated the causal association between genetically predicted insomnia and EOC risk and survival through a two-sample Mendelian randomization (MR) study.
METHODS METHODS
Insomnia was proxied using genetic variants identified in a genome-wide association study (GWAS) meta-analysis of UK Biobank and 23andMe. Using genetic associations with EOC risk and overall survival from the Ovarian Cancer Association Consortium (OCAC) GWAS in 66,450 women (over 11,000 cases with clinical follow-up), we performed Iterative Mendelian Randomization and Pleiotropy (IMRP) analysis followed by a set of sensitivity analyses. Genetic associations with survival and response to treatment in ovarian cancer study of The Cancer Genome Atlas (TCGA) were estimated controlling for chemotherapy and clinical factors.
FINDINGS RESULTS
Insomnia was associated with higher risk of endometrioid EOC (OR = 1.60, 95% CI 1.05-2.45) and lower risk of high-grade serous EOC (HGSOC) and clear cell EOC (OR = 0.79 and 0.48, 95% CI 0.63-1.00 and 0.27-0.86, respectively). In survival analysis, insomnia was associated with shorter survival of invasive EOC (OR = 1.45, 95% CI 1.13-1.87) and HGSOC (OR = 1.4, 95% CI 1.04-1.89), which was attenuated after adjustment for body mass index and reproductive age. Insomnia was associated with reduced survival in TCGA HGSOC cases who received standard chemotherapy (OR = 2.48, 95% CI 1.13-5.42), but was attenuated after adjustment for clinical factors.
INTERPRETATION CONCLUSIONS
This study supports the impact of insomnia on EOC risk and survival, suggesting treatments targeting insomnia could be pivotal for prevention and improving patient survival.
FUNDING BACKGROUND
National Institutes of Health, National Cancer Institute. Full funding details are provided in acknowledgments.

Identifiants

pubmed: 38823087
pii: S2352-3964(24)00210-X
doi: 10.1016/j.ebiom.2024.105175
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105175

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests BDG reports fees from Sure Med Compliance and Elly Health. SR reports fees and support to attend an advisory meeting from Eli Lilly and unpaid leadership role as a board/group member at the National Sleep Foundation and Alliance of Sleep Apnea Partner. SST reports grants from the NIH, State of Florida, ACS, DOD and BMS, fees from Ponce Health Sciences University, Ovarian Cancer Research Alliance, UNC Lineberger Comprehensive Cancer Center and AACR, and leadership role as a board/group member at City of Hope, Alberta Cancer Center and Fred Hutchinson Cancer Center. All other authors declare no competing interests.

Auteurs

Heming Wang (H)

Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.

Brett M Reid (BM)

Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.

Rebecca C Richmond (RC)

Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; NIHR Oxford Health Biomedical Research Centre, University of Oxford, Oxford, UK.

Jacqueline M Lane (JM)

Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.

Richa Saxena (R)

Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA.

Brian D Gonzalez (BD)

Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA.

Brooke L Fridley (BL)

Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA; Children's Mercy Hospital, Kansas City, MO, USA.

Susan Redline (S)

Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.

Shelley S Tworoger (SS)

Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.

Xuefeng Wang (X)

Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA. Electronic address: xuefeng.wang@moffitt.org.

Classifications MeSH