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Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC).

作者信息

Kliemann Nathalie, Ould Ammar Romain, Biessy Carine, Gicquiau Audrey, Katzke Verena, Kaaks Rudolf, Tjønneland Anne, Olsen Anja, Sánchez Maria-Jose, Crous-Bou Marta, Pasanisi Fabrizio, Tin Tin Sandar, Perez-Cornago Aurora, Aune Dagfinn, Christakoudi Sofia, Heath Alicia K, Colorado-Yohar Sandra M, Grioni Sara, Skeie Guri, Sartor Hanna, Idahl Annika, Rylander Charlotta, May Anne M, Weiderpass Elisabete, Freisling Heinz, Playdon Mary C, Rinaldi Sabina, Murphy Neil, Huybrechts Inge, Dossus Laure, Gunter Marc J

机构信息

International Agency for Research on Cancer, Lyon, France.

Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Cancer Epidemiol Biomarkers Prev. 2022 Jul 1;31(7):1359-1367. doi: 10.1158/1055-9965.EPI-22-0160.


DOI:10.1158/1055-9965.EPI-22-0160
PMID:35437568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9355542/
Abstract

BACKGROUND: Obesity is a risk factor for endometrial cancer but whether metabolic dysfunction is associated with endometrial cancer independent of body size is not known. METHODS: The association of metabolically defined body size phenotypes with endometrial cancer risk was investigated in a nested case-control study (817 cases/ 817 controls) within the European Prospective Investigation into Cancer and Nutrition (EPIC). Concentrations of C-peptide were used to define metabolically healthy (MH; <1st tertile) and metabolically unhealthy (MU; ≥1st tertile) status among the control participants. These metabolic health definitions were combined with normal weight (NW); body mass index (BMI)<25 kg/m2 or waist circumference (WC)<80 cm or waist-to-hip ratio (WHR)<0.8) and overweight (OW; BMI≥25 kg/m2 or WC≥80 cm or WHR≥0.8) status, generating four phenotype groups for each anthropometric measure: (i) MH/NW, (ii) MH/OW, (iii) MU/NW, and (iv) MU/OW. RESULTS: In a multivariable-adjusted conditional logistic regression model, compared with MH/NW individuals, endometrial cancer risk was higher among those classified as MU/NW [ORWC, 1.48; 95% confidence interval (CI), 1.05-2.10 and ORWHR, 1.68; 95% CI, 1.21-2.35] and MU/OW (ORBMI, 2.38; 95% CI, 1.73-3.27; ORWC, 2.69; 95% CI, 1.92-3.77 and ORWHR, 1.83; 95% CI, 1.32-2.54). MH/OW individuals were also at increased endometrial cancer risk compared with MH/NW individuals (ORWC, 1.94; 95% CI, 1.24-3.04). CONCLUSIONS: Women with metabolic dysfunction appear to have higher risk of endometrial cancer regardless of their body size. However, OW status raises endometrial cancer risk even among women with lower insulin levels, suggesting that obesity-related pathways are relevant for the development of this cancer beyond insulin. IMPACT: Classifying women by metabolic health may be of greater utility in identifying those at higher risk for endometrial cancer than anthropometry per se.

摘要

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Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC).

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引用本文的文献

[1]
Who is Focusing on Women's Health: A Bibliometric Analysis of Global Research Trends on Overweight in Female Patients with Gynecologic or Breast Cancer.

Int J Womens Health. 2024-12-17

[2]
Metabolic Phenotype and Risk of Obesity-Related Cancers in the Women's Health Initiative.

Cancer Prev Res (Phila). 2025-2-3

[3]
Association of metabolic obesity phenotypes with risk of overall and site-specific cancers: a systematic review and meta-analysis of cohort studies.

Br J Cancer. 2024-11

[4]
Metabolic obesity phenotypes and obesity-related cancer risk in the National Health and Nutrition Examination Survey.

Endocrinol Diabetes Metab. 2023-7

[5]
The interplay of sex steroid hormones and microRNAs in endometrial cancer: current understanding and future directions.

Front Endocrinol (Lausanne). 2023

[6]
Metabolically defined body size and body shape phenotypes and risk of postmenopausal breast cancer in the European Prospective Investigation into Cancer and Nutrition.

Cancer Med. 2023-6

本文引用的文献

[1]
Prospective analysis of circulating metabolites and endometrial cancer risk.

Gynecol Oncol. 2021-8

[2]
Hyperinsulinemia in Obesity, Inflammation, and Cancer.

Diabetes Metab J. 2021-5

[3]
Adipose tissue estrogen production and metabolism in premenopausal women.

J Steroid Biochem Mol Biol. 2021-5

[4]
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

CA Cancer J Clin. 2021-5

[5]
Effect of Metabolic Health and Obesity Phenotype on the Risk of Pancreatic Cancer: A Nationwide Population-Based Cohort Study.

Cancer Epidemiol Biomarkers Prev. 2021-3

[6]
Body size, body composition and endometrial cancer risk among postmenopausal women in UK Biobank.

Int J Cancer. 2020-11-1

[7]
Increased incidence of bladder cancer with metabolically unhealthy status: analysis from the National Health Checkup database in Korea.

Sci Rep. 2020-4-15

[8]
Physiological and Lifestyle Traits of Metabolic Dysfunction in the Absence of Obesity.

Curr Diab Rep. 2020-3-31

[9]
Mechanistic Links between Obesity, Insulin, and Cancer.

Trends Cancer. 2020-2

[10]
Metabolically Healthy Obesity-Heterogeneity in Definitions and Unconventional Factors.

Metabolites. 2020-1-27

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