Play all audios:
ABSTRACT BACKGROUND Cortisol’s immunosuppressive, obesogenic, and hyperglycaemic effects suggest that it may play a role in cancer development. However, whether cortisol increases cancer
risk is not known. We investigated the potential causal association between plasma cortisol and risk of overall and common site-specific cancers using Mendelian randomisation. METHODS Three
genetic variants associated with morning plasma cortisol levels at the genome-wide significance level (_P_ < 5 × 10−8) in the Cortisol Network consortium were used as genetic instruments.
Summary-level genome-wide association study data for the cancer outcomes were obtained from large-scale cancer consortia, the UK Biobank, and the FinnGen consortium. Two-sample Mendelian
randomisation analyses were performed using the fixed-effects inverse-variance weighted method. Estimates across data sources were combined using meta-analysis. RESULTS A standard deviation
increase in genetically predicted plasma cortisol was associated with increased risk of endometrial cancer (odds ratio 1.50, 95% confidence interval 1.13–1.99; _P_ = 0.005). There was no
significant association between genetically predicted plasma cortisol and risk of other common site-specific cancers, including breast, ovarian, prostate, colorectal, lung, or malignant skin
cancer, or overall cancer. CONCLUSIONS These results indicate that elevated plasma cortisol levels may increase the risk of endometrial cancer but not other cancers. The mechanism by which
this occurs remains to be investigated. Access through your institution Buy or subscribe This is a preview of subscription content, access via your institution ACCESS OPTIONS Access through
your institution Subscribe to this journal Receive 24 print issues and online access $259.00 per year only $10.79 per issue Learn more Buy this article * Purchase on SpringerLink * Instant
access to full article PDF Buy now Prices may be subject to local taxes which are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions *
Read our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS PHENOME-WIDE MENDELIAN RANDOMISATION ANALYSIS OF 378,142 CASES REVEALS RISK FACTORS FOR EIGHT COMMON CANCERS
Article Open access 25 March 2024 VARIATION IN THE _SERPINA6/SERPINA1_ LOCUS ALTERS MORNING PLASMA CORTISOL, HEPATIC CORTICOSTEROID BINDING GLOBULIN EXPRESSION, GENE EXPRESSION IN PERIPHERAL
TISSUES, AND RISK OF CARDIOVASCULAR DISEASE Article Open access 20 January 2021 CONSIDERING HORMONE-SENSITIVE CANCERS AS A SINGLE DISEASE IN THE UK BIOBANK REVEALS SHARED AETIOLOGY Article
Open access 21 June 2022 DATA AVAILABILITY All data used in this study are publicly available summary-level data, with the relevant studies cited. REFERENCES * Katsu Y, Iguchi T. Cortisol.
In: Takei Y, Ando H & Tsutsui K, editors. Handbook of hormones. Oxford, UK: Academic Press; 2016. * Antonova L, Aronson K, Mueller CR. Stress and breast cancer: from epidemiology to
molecular biology. Breast Cancer Res. 2011;13:208. Article Google Scholar * Coutinho AE, Chapman KE. The anti-inflammatory and immunosuppressive effects of glucocorticoids, recent
developments and mechanistic insights. Mol Cell Endocrinol. 2011;335:2–13. Article CAS Google Scholar * Avgerinos KI, Spyrou N, Mantzoros CS, Dalamaga M. Obesity and cancer risk: emerging
biological mechanisms and perspectives. Metabolism. 2019;92:121–35. Article CAS Google Scholar * van der Valk ES, Savas M, van Rossum EFC. Stress and obesity: are there more susceptible
individuals? Curr Obes Rep. 2018;7:193–203. Article Google Scholar * Nead KT, Sharp SJ, Thompson DJ, Painter JN, Savage DB, Semple RK, et al. Evidence of a causal association between
insulinemia and endometrial cancer: a Mendelian randomization analysis. J Natl Cancer Inst. 2015;107:djv178. Article Google Scholar * Kruk J, Aboul-Enein BH, Bernstein J, Gronostaj M.
Psychological stress and cellular aging in cancer: a meta-analysis. Oxid Med Cell Longev. 2019;2019:1270397. Article Google Scholar * Shin KJ, Lee YJ, Yang YR, Park S, Suh PG, Follo MY, et
al. Molecular mechanisms underlying psychological stress and cancer. Curr Pharm Des. 2016;22:2389–402. Article CAS Google Scholar * Yang T, Qiao Y, Xiang S, Li W, Gan Y, Chen Y. Work
stress and the risk of cancer: a meta-analysis of observational studies. Int J Cancer. 2019;144:2390–400. Article CAS Google Scholar * Bahri N, Fathi Najafi T, Homaei Shandiz F, Tohidinik
HR, Khajavi A. The relation between stressful life events and breast cancer: a systematic review and meta-analysis of cohort studies. Breast Cancer Res Treat. 2019;176:53–61. Article
Google Scholar * Bolton JL, Hayward C, Direk N, Lewis JG, Hammond GL, Hill LA, et al. Genome wide association identifies common variants at the SERPINA6/SERPINA1 locus influencing plasma
cortisol and corticosteroid binding globulin. PLoS Genet. 2014;10:e1004474. Article Google Scholar * Broad Institute of MIT and Harvard. The Genotype-Tissue Expression (GTEx) portal. 2021.
https://gtexportal.org/home/. Accessed 12 Feb 2021. * Michailidou K, Lindstrom S, Dennis J, Beesley J, Hui S, Kar S, et al. Association analysis identifies 65 new breast cancer risk loci.
Nature. 2017;551:92–4. Article Google Scholar * O’Mara TA, Glubb DM, Amant F, Annibali D, Ashton K, Attia J, et al. Identification of nine new susceptibility loci for endometrial cancer.
Nat Commun. 2018;9:3166. Article Google Scholar * Phelan CM, Kuchenbaecker KB, Tyrer JP, Kar SP, Lawrenson K, Winham SJ, et al. Identification of 12 new susceptibility loci for different
histotypes of epithelial ovarian cancer. Nat Genet. 2017;49:680–91. Article CAS Google Scholar * Schumacher FR, Al Olama AA, Berndt SI, Benlloch S, Ahmed M, Saunders EJ, et al.
Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci. Nat Genet. 2018;50:928–36. Article CAS Google Scholar * Wang Y, McKay JD, Rafnar T, Wang
Z, Timofeeva MN, Broderick P, et al. Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer. Nat Genet. 2014;46:736–41. Article CAS Google Scholar * FinnGen
consortium. FinnGen Documentation of R4 release, 2020. https://finngen.gitbook.io/documentation/. Accessed 10 Dec 2020. * Fry A, Littlejohns TJ, Sudlow C, Doherty N, Adamska L, Sprosen T, et
al. Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population. Am J Epidemiol. 2017;186:1026–34. Article Google
Scholar * Astle WJ, Elding H, Jiang T, Allen D, Ruklisa D, Mann AL, et al. The allelic landscape of human blood cell trait variation and links to common complex disease. Cell.
2016;167:1415.e19–29.e19. Article Google Scholar * Marchini J, Howie B. Genotype imputation for genome-wide association studies. Nat Rev Genet. 2010;11:499–511. Article CAS Google
Scholar * Brion MJ, Shakhbazov K, Visscher PM. Calculating statistical power in Mendelian randomization studies. Int J Epidemiol. 2013;42:1497–501. Article Google Scholar * Yavorska OO,
Burgess S. MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data. Int J Epidemiol. 2017;46:1734–9. Article Google Scholar * Pulit SL,
Stoneman C, Morris AP, Wood AR, Glastonbury CA, Tyrrell J, et al. Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry. Hum
Mol Genet. 2019;28:166–74. Article CAS Google Scholar * Dupuis J, Langenberg C, Prokopenko I, Saxena R, Soranzo N, Jackson AU, et al. New genetic loci implicated in fasting glucose
homeostasis and their impact on type 2 diabetes risk. Nat Genet. 2010;42:105–16. Article CAS Google Scholar * Neale Laboratory. GWAS round 2 of the UK Biobank. Results shared 1st August
2018. 2018. http://www.nealelab.is/uk-biobank. Accessed 5 May 2021. * Rodriguez AC, Blanchard Z, Maurer KA, Gertz J. Estrogen signaling in endometrial cancer: a key oncogenic pathway with
several open questions. Horm Cancer. 2019;10:51–63. Article CAS Google Scholar * Ruth KS, Day FR, Tyrrell J, Thompson DJ, Wood AR, Mahajan A, et al. Using human genetics to understand the
disease impacts of testosterone in men and women. Nat Med. 2020;26:252–8. Article CAS Google Scholar * Dupuis CC, Storr HL, Perry LA, Ho JT, Ahmed L, Ong KK, et al. Abnormal puberty in
paediatric Cushing’s disease: relationship with adrenal androgen, sex hormone binding globulin and gonadotrophin concentrations. Clin Endocrinol. 2007;66:838–43. Article CAS Google Scholar
* Woods NF, Mitchell ES, Smith-Dijulio K. Cortisol levels during the menopausal transition and early postmenopause: observations from the Seattle Midlife Women’s Health Study. Menopause.
2009;16:708–18. Article Google Scholar * Grant SD, Pavlatos FC, Forsham PH. Effects of estrogen therapy on cortisol metabolism. J Clin Endocrinol Metab. 1965;25:1057–66. Article CAS
Google Scholar * Edwards KM, Mills PJ. Effects of estrogen versus estrogen and progesterone on cortisol and interleukin-6. Maturitas. 2008;61:330–3. Article CAS Google Scholar *
Vahrenkamp JM, Yang C-H, Rodriguez AC, Jarboe EA, Janat-Amsbury MM. Clinical and genomic crosstalk between glucocorticoid receptor and estrogen receptor α in endometrial cancer. Cell Rep.
2018;22:P2995–3005. Article Google Scholar * Byrne, FL, Martin, AR, Kosasih, M, Caruana, BT, Farrell, R. The role of hyperglycemia in endometrial cancer pathogenesis. Cancers.
2020;12:1191. Download references ACKNOWLEDGEMENTS The authors would like to thank the investigators of the Breast Cancer Association Consortium (BCAC), Endometrial Cancer Association
Consortium (ECAC), Genetic Investigation of ANthropometric Traits (GIANT) consortium, International Lung Cancer Consortium (ILCCO), Meta-Analyses of Glucose and Insulin-related traits
consortium (MAGIC), Ovarian Cancer Association Consortium (OCAC), Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium, and the
FinnGen consortium for sharing summary-level GWAS data. Analyses of UK Biobank data were performed under application 29202. FUNDING SCL acknowledges research support from the Swedish
Research Council (Vetenskapsrådet, 2016-01042 and 2019-00977), the Swedish Research Council for Health, Working Life and Welfare (Forte, 2018-00123), and the Swedish Heart-Lung Foundation
(Hjärt-Lungfonden, 20190247). SK is supported by United Kingdom Research and Innovation Future Leaders Fellowship (MR/T043202/1). SB is supported by Sir Henry Dale Fellowship jointly funded
by the Wellcome Trust and the Royal Society (204623/Z/16/Z). During the conduction of this study, EA was supported by the EU/EFPIA Innovative Medicines Initiative Joint Undertaking
BigData@Heart grant no. 116074 and is currently funded by the British Heart Foundation Programme Grant RG/18/13/33946. This work was supported by core funding from: the UK Medical Research
Council (MR/L003120/1), the British Heart Foundation (RG/13/13/30194; RG/18/13/33946), and the NIHR Cambridge Biomedical Research Centre (BRC-1215-20014)*. This work was also supported by
Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health
and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government),
Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome. *The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of
Health and Social Care. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet,
Stockholm, Sweden Susanna C. Larsson * Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden Susanna C. Larsson * BHF Cardiovascular Epidemiology
Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK Wei-Hsuan Lee, Stephen Burgess & Elias Allara * MRC Integrative Epidemiology Unit, Bristol
Medical School, University of Bristol, Bristol, UK Siddhartha Kar * MRC Biostatistics Unit, University of Cambridge, Cambridge, UK Stephen Burgess Authors * Susanna C. Larsson View author
publications You can also search for this author inPubMed Google Scholar * Wei-Hsuan Lee View author publications You can also search for this author inPubMed Google Scholar * Siddhartha Kar
View author publications You can also search for this author inPubMed Google Scholar * Stephen Burgess View author publications You can also search for this author inPubMed Google Scholar *
Elias Allara View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS SCL had full access to the data. SCL, SB, and EA designed the study. SCL
performed the statistical analyses and created the figure. SCL, W-HL, and EA drafted the manuscript. SCL, W-HL, SK, SB, and EA interpreted the data and edited the manuscript. All authors
have given final approval of the version to be published. CORRESPONDING AUTHOR Correspondence to Susanna C. Larsson. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing
interests. ETHICS APPROVAL AND CONSENT TO PARTICIPATE Ethics approval and consent to participate had been obtained. The present analyses were approved by the Swedish Ethical Review
Authority. The study was performed in accordance with the Declaration of Helsinki. ADDITIONAL INFORMATION PUBLISHER’S NOTE Springer Nature remains neutral with regard to jurisdictional
claims in published maps and institutional affiliations. SUPPLEMENTARY INFORMATION SUPPLEMENTAL MATERIAL CHECKLIST RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE
THIS ARTICLE Larsson, S.C., Lee, WH., Kar, S. _et al._ Assessing the role of cortisol in cancer: a wide-ranged Mendelian randomisation study. _Br J Cancer_ 125, 1025–1029 (2021).
https://doi.org/10.1038/s41416-021-01505-8 Download citation * Received: 04 March 2021 * Revised: 28 June 2021 * Accepted: 19 July 2021 * Published: 27 July 2021 * Issue Date: 28 September
2021 * DOI: https://doi.org/10.1038/s41416-021-01505-8 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable
link is not currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative