Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study

Anja M Sedlmeier; Vivian Viallon; Pietro Ferrari; Laia Peruchet-Noray; Emma Fontvieille; Amina Amadou; Nazlisadat Seyed Khoei; Andrea Weber; Hansjörg Baurecht; Alicia K Heath; Kostas Tsilidis; Rudolf Kaaks; Verena Katzke; Elif Inan-Eroglu; Matthias B Schulze; Kim Overvad; Catalina Bonet; Esther Ubago-Guisado; María-Dolores Chirlaque; Eva Ardanaz; Aurora Perez-Cornago; Valeria Pala; Rosario Tumino; Carlotta Sacerdote; Fabrizio Pasanisi; Kristin B Borch; Charlotta Rylander; Elisabete Weiderpass; Marc J Gunter; Béatrice Fervers; Michael F Leitzmann; Heinz Freisling

doi:10.1038/s41416-022-02071-3

Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study

Anja M Sedlmeier, Vivian Viallon, Pietro Ferrari, Laia Peruchet-Noray, Emma Fontvieille, Amina Amadou, Nazlisadat Seyed Khoei, Andrea Weber, Hansjörg Baurecht, Alicia K Heath, Kostas Tsilidis, Rudolf Kaaks, Verena Katzke, Elif Inan-Eroglu, Matthias B Schulze, Kim Overvad, Catalina Bonet, Esther Ubago-Guisado, María-Dolores Chirlaque, Eva ArdanazAurora Perez-Cornago, Valeria Pala, Rosario Tumino, Carlotta Sacerdote, Fabrizio Pasanisi, Kristin B Borch, Charlotta Rylander, Elisabete Weiderpass, Marc J Gunter, Béatrice Fervers, Michael F Leitzmann, Heinz Freisling^*

^*Corresponding author for this work

Department of Public Health - Department of Epidemiology

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

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Abstract

BACKGROUND: Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers.

METHODS: We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). The study included 340,152 men and women from 9 European countries, aged mostly 35-65 years at recruitment (1990-2000) in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS: After a median follow-up of 15.3 years, 47,110 incident cancer cases were recorded. PC1 (overall adiposity) was positively associated with the risk of overall cancer, with a HR per 1 standard deviation (SD) increment equal to 1.07 (95% confidence interval 1.05 to 1.08). Positive associations were observed with 10 cancer types, with HRs (per 1 SD) ranging from 1.36 (1.30-1.42) for endometrial cancer to 1.08 (1.03-1.13) for rectal cancer. PC2 (tall stature with low WHR) was positively associated with the risk of overall cancer (1.03; 1.02-1.04) and five cancer types which were not associated with PC1. PC3 (tall stature with high WHR) was positively associated with the risk of overall cancer (1.04; 1.03-1.05) and 12 cancer types. PC4 (high BMI and weight with low WC and HC) was not associated with overall risk of cancer (1.00; 0.99-1.01).

CONCLUSIONS: In this multi-national study, distinct body shape phenotypes were positively associated with the incidence of 17 different cancers and overall cancer.

Original language	English
Journal	British Journal of Cancer
Volume	128
Issue	4
Pages (from-to)	594-605
Number of pages	12
ISSN	0007-0920
DOIs	https://doi.org/10.1038/s41416-022-02071-3
Publication status	Published - 16 Feb 2023

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Sedlmeier, A. M., Viallon, V., Ferrari, P., Peruchet-Noray, L., Fontvieille, E., Amadou, A., Seyed Khoei, N., Weber, A., Baurecht, H., Heath, A. K., Tsilidis, K., Kaaks, R., Katzke, V., Inan-Eroglu, E., Schulze, M. B., Overvad, K., Bonet, C., Ubago-Guisado, E., Chirlaque, M.-D., ... Freisling, H. (2023). Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study. British Journal of Cancer, 128(4), 594-605. https://doi.org/10.1038/s41416-022-02071-3

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title = "Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study",

abstract = "BACKGROUND: Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers.METHODS: We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). The study included 340,152 men and women from 9 European countries, aged mostly 35-65 years at recruitment (1990-2000) in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs).RESULTS: After a median follow-up of 15.3 years, 47,110 incident cancer cases were recorded. PC1 (overall adiposity) was positively associated with the risk of overall cancer, with a HR per 1 standard deviation (SD) increment equal to 1.07 (95% confidence interval 1.05 to 1.08). Positive associations were observed with 10 cancer types, with HRs (per 1 SD) ranging from 1.36 (1.30-1.42) for endometrial cancer to 1.08 (1.03-1.13) for rectal cancer. PC2 (tall stature with low WHR) was positively associated with the risk of overall cancer (1.03; 1.02-1.04) and five cancer types which were not associated with PC1. PC3 (tall stature with high WHR) was positively associated with the risk of overall cancer (1.04; 1.03-1.05) and 12 cancer types. PC4 (high BMI and weight with low WC and HC) was not associated with overall risk of cancer (1.00; 0.99-1.01).CONCLUSIONS: In this multi-national study, distinct body shape phenotypes were positively associated with the incidence of 17 different cancers and overall cancer.",

author = "Sedlmeier, {Anja M} and Vivian Viallon and Pietro Ferrari and Laia Peruchet-Noray and Emma Fontvieille and Amina Amadou and {Seyed Khoei}, Nazlisadat and Andrea Weber and Hansj{\"o}rg Baurecht and Heath, {Alicia K} and Kostas Tsilidis and Rudolf Kaaks and Verena Katzke and Elif Inan-Eroglu and Schulze, {Matthias B} and Kim Overvad and Catalina Bonet and Esther Ubago-Guisado and Mar{\'i}a-Dolores Chirlaque and Eva Ardanaz and Aurora Perez-Cornago and Valeria Pala and Rosario Tumino and Carlotta Sacerdote and Fabrizio Pasanisi and Borch, {Kristin B} and Charlotta Rylander and Elisabete Weiderpass and Gunter, {Marc J} and B{\'e}atrice Fervers and Leitzmann, {Michael F} and Heinz Freisling",

year = "2023",

month = feb,

day = "16",

doi = "10.1038/s41416-022-02071-3",

language = "English",

volume = "128",

pages = "594--605",

journal = "British Journal of Cancer",

issn = "0007-0920",

publisher = "Springer Nature",

number = "4",

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Sedlmeier, AM, Viallon, V, Ferrari, P, Peruchet-Noray, L, Fontvieille, E, Amadou, A, Seyed Khoei, N, Weber, A, Baurecht, H, Heath, AK, Tsilidis, K, Kaaks, R, Katzke, V, Inan-Eroglu, E, Schulze, MB, Overvad, K, Bonet, C, Ubago-Guisado, E, Chirlaque, M-D, Ardanaz, E, Perez-Cornago, A, Pala, V, Tumino, R, Sacerdote, C, Pasanisi, F, Borch, KB, Rylander, C, Weiderpass, E, Gunter, MJ, Fervers, B, Leitzmann, MF & Freisling, H 2023, 'Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study', British Journal of Cancer, vol. 128, no. 4, pp. 594-605. https://doi.org/10.1038/s41416-022-02071-3

Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study. / Sedlmeier, Anja M; Viallon, Vivian; Ferrari, Pietro et al.
In: British Journal of Cancer, Vol. 128, No. 4, 16.02.2023, p. 594-605.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

TY - JOUR

T1 - Body shape phenotypes of multiple anthropometric traits and cancer risk

T2 - a multi-national cohort study

AU - Sedlmeier, Anja M

AU - Viallon, Vivian

AU - Ferrari, Pietro

AU - Peruchet-Noray, Laia

AU - Fontvieille, Emma

AU - Amadou, Amina

AU - Seyed Khoei, Nazlisadat

AU - Weber, Andrea

AU - Baurecht, Hansjörg

AU - Heath, Alicia K

AU - Tsilidis, Kostas

AU - Kaaks, Rudolf

AU - Katzke, Verena

AU - Inan-Eroglu, Elif

AU - Schulze, Matthias B

AU - Overvad, Kim

AU - Bonet, Catalina

AU - Ubago-Guisado, Esther

AU - Chirlaque, María-Dolores

AU - Ardanaz, Eva

AU - Perez-Cornago, Aurora

AU - Pala, Valeria

AU - Tumino, Rosario

AU - Sacerdote, Carlotta

AU - Pasanisi, Fabrizio

AU - Borch, Kristin B

AU - Rylander, Charlotta

AU - Weiderpass, Elisabete

AU - Gunter, Marc J

AU - Fervers, Béatrice

AU - Leitzmann, Michael F

AU - Freisling, Heinz

PY - 2023/2/16

Y1 - 2023/2/16

N2 - BACKGROUND: Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers.METHODS: We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). The study included 340,152 men and women from 9 European countries, aged mostly 35-65 years at recruitment (1990-2000) in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs).RESULTS: After a median follow-up of 15.3 years, 47,110 incident cancer cases were recorded. PC1 (overall adiposity) was positively associated with the risk of overall cancer, with a HR per 1 standard deviation (SD) increment equal to 1.07 (95% confidence interval 1.05 to 1.08). Positive associations were observed with 10 cancer types, with HRs (per 1 SD) ranging from 1.36 (1.30-1.42) for endometrial cancer to 1.08 (1.03-1.13) for rectal cancer. PC2 (tall stature with low WHR) was positively associated with the risk of overall cancer (1.03; 1.02-1.04) and five cancer types which were not associated with PC1. PC3 (tall stature with high WHR) was positively associated with the risk of overall cancer (1.04; 1.03-1.05) and 12 cancer types. PC4 (high BMI and weight with low WC and HC) was not associated with overall risk of cancer (1.00; 0.99-1.01).CONCLUSIONS: In this multi-national study, distinct body shape phenotypes were positively associated with the incidence of 17 different cancers and overall cancer.

AB - BACKGROUND: Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers.METHODS: We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). The study included 340,152 men and women from 9 European countries, aged mostly 35-65 years at recruitment (1990-2000) in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs).RESULTS: After a median follow-up of 15.3 years, 47,110 incident cancer cases were recorded. PC1 (overall adiposity) was positively associated with the risk of overall cancer, with a HR per 1 standard deviation (SD) increment equal to 1.07 (95% confidence interval 1.05 to 1.08). Positive associations were observed with 10 cancer types, with HRs (per 1 SD) ranging from 1.36 (1.30-1.42) for endometrial cancer to 1.08 (1.03-1.13) for rectal cancer. PC2 (tall stature with low WHR) was positively associated with the risk of overall cancer (1.03; 1.02-1.04) and five cancer types which were not associated with PC1. PC3 (tall stature with high WHR) was positively associated with the risk of overall cancer (1.04; 1.03-1.05) and 12 cancer types. PC4 (high BMI and weight with low WC and HC) was not associated with overall risk of cancer (1.00; 0.99-1.01).CONCLUSIONS: In this multi-national study, distinct body shape phenotypes were positively associated with the incidence of 17 different cancers and overall cancer.

U2 - 10.1038/s41416-022-02071-3

DO - 10.1038/s41416-022-02071-3

M3 - Journal article

C2 - 36460776

SN - 0007-0920

VL - 128

SP - 594

EP - 605

JO - British Journal of Cancer

JF - British Journal of Cancer

IS - 4

ER -

Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study

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