1
|
Odutola MK, van Leeuwen MT, Bruinsma F, Turner J, Hertzberg M, Seymour JF, Prince HM, Trotman J, Verner E, Roncolato F, Opat S, Lindeman R, Tiley C, Milliken ST, Underhill CR, Benke G, Giles GG, Vajdic CM. A Population-Based Family Case-Control Study of Sun Exposure and Follicular Lymphoma Risk. Cancer Epidemiol Biomarkers Prev 2024; 33:106-116. [PMID: 37831120 PMCID: PMC10774741 DOI: 10.1158/1055-9965.epi-23-0578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 08/08/2023] [Accepted: 10/11/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND Epidemiologic evidence suggests an inverse association between sun exposure and follicular lymphoma risk. METHODS We conducted an Australian population-based family case-control study based on 666 cases and 459 controls (288 related, 171 unrelated). Participants completed a lifetime residence and work calendar and recalled outdoor hours on weekdays, weekends, and holidays in the warmer and cooler months at ages 10, 20, 30, and 40 years, and clothing types worn in the warmer months. We used a group-based trajectory modeling approach to identify outdoor hour trajectories over time and examined associations with follicular lymphoma risk using logistic regression. RESULTS We observed an inverse association between follicular lymphoma risk and several measures of high lifetime sun exposure, particularly intermittent exposure (weekends, holidays). Associations included reduced risk with increasing time outdoors on holidays in the warmer months [highest category OR = 0.56; 95% confidence interval (CI), 0.42-0.76; Ptrend < 0.01], high outdoor hours on weekends in the warmer months (highest category OR = 0.71; 95% CI, 0.52-0.96), and increasing time outdoors in the warmer and cooler months combined (highest category OR = 0.66; 95% CI, 0.50-0.91; Ptrend 0.01). Risk was reduced for high outdoor hour maintainers in the warmer months across the decade years (OR = 0.71; 95% CI, 0.53-0.96). CONCLUSIONS High total and intermittent sun exposure, particularly in the warmer months, may be protective against the development of follicular lymphoma. IMPACT Although sun exposure is not recommended as a cancer control policy, confirming this association may provide insights regarding the future control of this intractable malignancy.
Collapse
Affiliation(s)
- Michael K. Odutola
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Marina T. van Leeuwen
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Fiona Bruinsma
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Jennifer Turner
- Anatomical Pathology, Douglass Hanly Moir Pathology, Macquarie Park, Sydney, Australia
- Department of Clinical Medicine, Faculty of Medicine, Health and Human Science, Macquarie University, Sydney, Australia
| | - Mark Hertzberg
- Department of Haematology, Prince of Wales Hospital and University of New South Wales, Sydney, New South Wales, Australia
| | - John F. Seymour
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - H. Miles Prince
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Judith Trotman
- Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Emma Verner
- Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | | | - Stephen Opat
- Clinical Haematology, Monash Health, Clayton, Victoria, Australia
| | - Robert Lindeman
- New South Wales Health Pathology, Sydney, New South Wales, Australia
| | | | | | - Craig R. Underhill
- Border Medical Oncology Research Unit, Albury, New South Wales, Australia
| | - Geza Benke
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia
| | - Claire M. Vajdic
- 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
| |
Collapse
|
2
|
Incidence Trend of Follicular Lymphoma in Taiwan Compared to Japan and Korea, 2001-2019. J Clin Med 2023; 12:jcm12041417. [PMID: 36835952 PMCID: PMC9963002 DOI: 10.3390/jcm12041417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 02/01/2023] [Accepted: 02/09/2023] [Indexed: 02/12/2023] Open
Abstract
A continuous increase in follicular lymphoma has been observed in Taiwan, Japan, and South Korea over the last few decades. This study aimed to evaluate the difference in incidence trends of follicular lymphoma in Taiwan, Japan, and South Korea between 2001 and 2019. The data for the Taiwanese populations was obtained from the Taiwan Cancer Registry Database, and those for the Japanese and Korean population were retrieved from the Japan National Cancer Registry and some additional reports, both of which included population-based cancer registry data, from Japan and Korea. Follicular lymphoma accounted for 4231 cases from 2002-2019 in Taiwan, 3744 cases from 2001-2008 and 49,731 cases from 2014-2019 in Japan; and 1365 cases from 2001-2012 and 1244 cases from 2011-2016 in South Korea. The annual percentage change for each time period was 3.49% (95% confidence interval: 2.75-4.24%) in Taiwan, 12.66% (95% confidence interval [CI]: 9.59-15.81%) and 4.95% (95% CI: 2.14-7.84%) in Japan, and 5.72% (95% CI: 2.79-8.73%) and 7.93% (95% CI: -1.63-18.42%) in South Korea. Our study confirms that the increasing trends of follicular lymphoma incidence in Taiwan and Japan have been remarkable in recent years, especially the rapid increase in Japan between 2014 and 2019; however, there was no significant in-crease from 2011 to 2015 in South Korea.
Collapse
|
3
|
Odutola MK, van Leeuwen MT, Bassett JK, Bruinsma F, Turner J, Seymour JF, Prince HM, Milliken ST, Hertzberg M, Roncolato F, Opat SS, Lindeman R, Tiley C, Trotman J, Verner E, Harvey M, Underhill CR, Benke G, Giles GG, Vajdic CM. Dietary intake of animal-based products and likelihood of follicular lymphoma and survival: A population-based family case-control study. Front Nutr 2023; 9:1048301. [PMID: 36687712 PMCID: PMC9846614 DOI: 10.3389/fnut.2022.1048301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
Background The association between dietary intake of foods of animal origin and follicular lymphoma (FL) risk and survival is uncertain. In this study, we examined the relationship between dietary intake of dairy foods and fats, meat, fish and seafoods, and the likelihood of FL and survival. Methods We conducted a population-based family case-control study in Australia between 2011 and 2016 and included 710 cases, 303 siblings and 186 spouse/partner controls. We assessed dietary intake of animal products prior to diagnosis (the year before last) using a structured food frequency questionnaire and followed-up cases over a median of 6.9 years using record linkage to national death data. We examined associations with the likelihood of FL using logistic regression and used Cox regression to assess association with all-cause and FL-specific mortality among cases. Results We observed an increased likelihood of FL with increasing daily quantity of oily fish consumption in the year before last (highest category OR = 1.96, CI = 1.02-3.77; p-trend 0.06) among cases and sibling controls, but no associations with spouse/partner controls. We found no association between the likelihood of FL and the consumption of other types of fish or seafood, meats or dairy foods and fats. In FL cases, we found no association between meat or oily fish intake and all-cause or FL-specific mortality. Conclusion Our study showed suggestive evidence of a positive association between oily fish intake and the likelihood of FL, but findings varied by control type. Further investigation of the potential role of environmental contaminants in oily fish on FL etiology is warranted.
Collapse
Affiliation(s)
- Michael K. Odutola
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
| | - Marina T. van Leeuwen
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
| | - Julie K. Bassett
- Cancer Epidemiology Division, Cancer Council Victoria, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
| | - Fiona Bruinsma
- Cancer Epidemiology Division, Cancer Council Victoria, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
| | - Jennifer Turner
- Douglass Hanly Moir Pathology, Macquarie Park, NSW, Australia,Department of Clinical Medicine, Faculty of Medicine, Health and Human Science, Macquarie University, Sydney, NSW, Australia
| | - John F. Seymour
- Royal Melbourne Hospital, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, VIC, Australia
| | - Henry Miles Prince
- Epworth Healthcare and Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
| | - Samuel T. Milliken
- St. Vincent's Hospital, University of New South Wales, Sydney, NSW, Australia
| | - Mark Hertzberg
- Department of Haematology, Prince of Wales Hospital, University of New South Wales, Sydney, NSW, Australia
| | - Fernando Roncolato
- St. George Hospital, Kogarah, NSW, Australia,St. George Clinical School, University of New South Wales, Kogarah, NSW, Australia
| | - Stephen S. Opat
- Clinical Haematology, Monash Health and Monash University, Clayton, VIC, Australia
| | - Robert Lindeman
- New South Wales Health Pathology, University of New South Wales, Sydney, NSW, Australia
| | - Campbell Tiley
- Gosford Hospital, The University of Newcastle, Callaghan, NSW, Australia
| | - Judith Trotman
- Concord Repatriation General Hospital, University of Sydney, Concord, NSW, Australia
| | - Emma Verner
- Concord Repatriation General Hospital, University of Sydney, Concord, NSW, Australia
| | - Michael Harvey
- Liverpool Hospital, Western Sydney University, Liverpool, NSW, Australia
| | - Craig R. Underhill
- Border Medical Oncology Research Unit, Rural Medical School, Albury, NSW, Australia
| | - Geza Benke
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Claire M. Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia,The Kirby Institute, University of New South Wales, Sydney, NSW, Australia,*Correspondence: Claire M. Vajdic ✉
| |
Collapse
|