Associations between early-life growth pattern and body size and follicular lymphoma risk and survival: a family-based case-control study

Michael K Odutola; Marina T van Leeuwen; Jennifer Turner; Fiona Bruinsma; John F Seymour; H Miles Prince; Samuel T Milliken; Mark Hertzberg; Judith Trotman; Stephen S Opat; Robert Lindeman; Fernando Roncolato; Emma Verner; Michael Harvey; Campbell Tiley; Craig R Underhill; Geza Benke; Graham G Giles; Claire M Vajdic

doi:10.1016/j.canep.2022.102241

Associations between early-life growth pattern and body size and follicular lymphoma risk and survival: a family-based case-control study

Cancer Epidemiol. 2022 Oct:80:102241. doi: 10.1016/j.canep.2022.102241. Epub 2022 Sep 1.

Authors

Michael K Odutola¹, Marina T van Leeuwen², Jennifer Turner³, Fiona Bruinsma⁴, John F Seymour⁵, H Miles Prince⁶, Samuel T Milliken⁷, Mark Hertzberg⁸, Judith Trotman⁹, Stephen S Opat¹⁰, Robert Lindeman¹¹, Fernando Roncolato¹², Emma Verner¹³, Michael Harvey¹⁴, Campbell Tiley¹⁵, Craig R Underhill¹⁶, Geza Benke¹⁷, Graham G Giles¹⁸, Claire M Vajdic¹⁹

Affiliations

¹ Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia. Electronic address: m.odutola@unsw.edu.au.
² Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia. Electronic address: m.vanleeuwen@unsw.edu.au.
³ Douglass Hanly Moir Pathology, Macquarie Park and Department of Clinical Medicine, Faculty of Medicine, Health and Human Science, Macquarie University, Sydney, Australia. Electronic address: jtur8838@bigpond.net.au.
⁴ Cancer Epidemiology Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia. Electronic address: Fiona.Bruinsma@cancervic.org.au.
⁵ Royal Melbourne Hospital, Peter MacCallum Cancer Centre and University of Melbourne, Melbourne, Victoria, Australia. Electronic address: john.seymour@petermac.org.
⁶ Epworth Healthcare and Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia. Electronic address: Miles.Prince@petermac.org.
⁷ St. Vincent's Hospital, Sydney and University of New South Wales, Sydney, New South Wales, Australia. Electronic address: smilliken@stvincents.com.au.
⁸ Department of Haematology, Prince of Wales Hospital and University of New South Wales, Sydney, New South Wales, Australia. Electronic address: mhertzberg10@gmail.com.
⁹ Concord Repatriation General Hospital and University of Sydney, Concord, New South Wales, Australia. Electronic address: Judith.Trotman@health.nsw.gov.au.
¹⁰ Clinical Haematology, Monash Health and Monash University, Clayton, Australia. Electronic address: Stephen.Opat@monashhealth.org.
¹¹ New South Wales Health Pathology and University of New South Wales, Sydney, New South Wales, Australia. Electronic address: Robert.Lindeman@sesiahs.health.nsw.gov.au.
¹² St. George Hospital, Kogarah and University of New South Wales, Sydney, New South Wales, Australia. Electronic address: Fernando.Roncolato@health.nsw.gov.au.
¹³ Concord Repatriation General Hospital and University of Sydney, Concord, New South Wales, Australia. Electronic address: emma.verner@health.nsw.gov.au.
¹⁴ Liverpool Hospital, Liverpool and Western Sydney University, New South Wales, Australia. Electronic address: michael.harvey@sswahs.nsw.gov.au.
¹⁵ Gosford Hospital and The University of Newcastle, New South Wales, Australia. Electronic address: Campbell.Tiley@health.nsw.gov.au.
¹⁶ Rural Medical School and Border Medical Oncology Research Unit, Albury, New South Wales, Australia. Electronic address: Craig.Underhill@bordermedonc.com.au.
¹⁷ School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. Electronic address: geza.benke@monash.edu.
¹⁸ Cancer Epidemiology Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia. Electronic address: Graham.Giles@cancervic.org.au.
¹⁹ Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia; The Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia. Electronic address: claire.vajdic@unsw.edu.au.

PMID: 36058036
DOI: 10.1016/j.canep.2022.102241

Abstract

Background: The influence of early-life growth pattern and body size on follicular lymphoma (FL) risk and survival is unclear. In this study, we aimed to investigate the association between gestational age, growth during childhood, body size, changes in body shape over time, and FL risk and survival.

Methods: We conducted a population-based family case-control study and included 706 cases and 490 controls. We ascertained gestational age, growth during childhood, body size and body shape using questionnaires and followed-up cases (median=83 months) using record linkage with national death records. We used a group-based trajectory modeling approach to identify body shape trajectories from ages 5-70. We examined associations with FL risk using unconditional logistic regression and used Cox regression to assess the association between body mass index (BMI) and all-cause and FL-specific mortality among cases.

Results: We found no association between gestational age, childhood height and FL risk. We observed a modest increase in FL risk with being obese 5 years prior to enrolment (OR=1.43, 95 %CI=0.99-2.06; BMI ≥30 kg/m²) and per 5-kg/m² increase in BMI 5 years prior to enrolment (OR=1.14, 95 %CI=0.99-1.31). The excess risk for obesity 5 years prior to enrolment was higher for ever-smokers (OR=2.00, 95 %CI=1.08-3.69) than never-smokers (OR=1.14, 95 %CI=0.71-1.84). We found no association between FL risk and BMI at enrolment, BMI for heaviest lifetime weight, the highest categories of adult weight or height, trouser size, body shape at different ages or body shape trajectory. We also observed no association between all-cause or FL-specific mortality and excess adiposity at or prior to enrolment.

Conclusion: We observed a weak association between elevated BMI and FL risk, and no association with all-cause or FL-specific mortality, consistent with previous studies. Future studies incorporating biomarkers are needed to elucidate possible mechanisms underlying the role of body composition in FL etiology.

Keywords: Body shape; Body size; Early-life; Follicular lymphoma; Risk; Survival.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adolescent
Adult
Aged
Body Mass Index
Body Size
Case-Control Studies
Child
Child, Preschool
Humans
Lymphoma, Follicular* / epidemiology
Middle Aged
Obesity
Risk Factors
Young Adult