Abstract
Introduction
Chronic inflammation plays a critical role in lymphomagenesis and several dietary factors seem to be involved its regulation. The aim of the current study was to assess the association between the inflammatory potential of the diet and the risk of lymphoma and its subtypes in the European Investigation into Cancer and Nutrition (EPIC) study.
Methods
The analysis included 476,160 subjects with an average follow-up of 13.9 years, during which 3,136 lymphomas (135 Hodgkin lymphoma (HL), 2606 non-Hodgkin lymphoma (NHL) and 395 NOS) were identified. The dietary inflammatory potential was assessed by means of an inflammatory score of the diet (ISD), calculated using 28 dietary components and their corresponding inflammatory weights. The association between the ISD and lymphoma risk was estimated by hazard ratios (HR) and 95% confidence intervals (CI) calculated by multivariable Cox regression models adjusted for potential confounders.
Results
The ISD was not associated with overall lymphoma risk. Among lymphoma subtypes, a positive association between the ISD and mature B-cell NHL (HR for a 1-SD increase: 1.07 (95% CI 1.01; 1.14), p trend = 0.03) was observed. No statistically significant association was found among other subtypes. However, albeit with smaller number of cases, a suggestive association was observed for HL (HR for a 1-SD increase = 1.22 (95% CI 0.94; 1.57), p trend 0.13).
Conclusions
Our findings suggested that a high ISD score, reflecting a pro-inflammatory diet, was modestly positively associated with the risk of B-cell lymphoma subtypes. Further large prospective studies on low-grade inflammation induced by diet are warranted to confirm these findings.
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References
Morton LM, Slager SL, Cerhan JR et al (2014) Etiologic heterogeneity among non-Hodgkin lymphoma subtypes: the InterLymph Non-Hodgkin Lymphoma Subtypes Project. J Natl Cancer Inst Monogr 2014:130–144. https://doi.org/10.1093/jncimonographs/lgu013
Smedby KE, Askling J, Mariette X, Baecklund E (2008) Autoimmune and inflammatory disorders and risk of malignant lymphomas—an update. J Intern Med 264:514–527. https://doi.org/10.1111/j.1365-2796.2008.02029.x
Smedby KE, Ponzoni M (2017) The aetiology of B-cell lymphoid malignancies with a focus on chronic inflammation and infections. J Intern Med 282:360–370. https://doi.org/10.1111/joim.12684
World Cancer Research Fund / American Institute for Cancer Research (2007) Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. AICR, Washington DC
Schottenfeld D, Beebe-Dimmer J (2006) Chronic inflammation: a common and important factor in the pathogenesis of neoplasia. CA Cancer J Clin 56:69–83
Minihane AM, Vinoy S, Russell WR et al (2015) Low-grade inflammation, diet composition and health: current research evidence and its translation. Br J Nutr 114:999–1012. https://doi.org/10.1017/S0007114515002093
Calder PC, Ahluwalia N, Brouns F et al (2011) Dietary factors and low-grade inflammation in relation to overweight and obesity. Br J Nutr 106(Suppl):S5–S78. https://doi.org/10.1017/S0007114511005460
Shivappa N, Steck SE, Hurley TG et al (2014) Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr 17:1689–1696. https://doi.org/10.1017/S1368980013002115
Agudo A, Cayssials V, Bonet C et al (2018) Inflammatory potential of the diet and risk of gastric cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Am J Clin Nutr 107:607–616. https://doi.org/10.1093/ajcn/nqy002
Shivappa N, Sandin S, Lof M et al (2015) Prospective study of dietary inflammatory index and risk of breast cancer in Swedish women. Br J Cancer 113:1099–1103. https://doi.org/10.1038/bjc.2015.304
Shivappa N, Hebert JR, Rosato V et al (2017) Inflammatory potential of diet and risk of oral and pharyngeal cancer in a large case–control study from Italy. Int J cancer 141:471–479. https://doi.org/10.1002/ijc.30711
Shivappa N, Blair CK, Prizment AE et al (2018) Dietary inflammatory index and risk of renal cancer in the Iowa Women’s Health Study. Eur J Nutr 57:1207–1213. https://doi.org/10.1007/s00394-017-1403-5
Shivappa N, Prizment AE, Blair CK et al (2014) Dietary inflammatory index and risk of colorectal cancer in the Iowa Women’s Health Study. Cancer Epidemiol Biomarkers Prev 23:2383–2392. https://doi.org/10.1158/1055-9965.EPI-14-0537
Shivappa N, Hebert JR, Taborelli M et al (2017) Dietary inflammatory index and non-Hodgkin lymphoma risk in an Italian case–control study. Cancer Causes Control 28:791–799. https://doi.org/10.1007/s10552-017-0905-z
Shivappa N, Hébert JR, Taborelli M et al (2018) Association between dietary inflammatory index and Hodgkin’s lymphoma in an Italian case–control study. Nutrition 53:43–48. https://doi.org/10.1016/j.nut.2018.01.005
Riboli E, Kaaks R (1997) The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26(Suppl 1):S6–S14
Riboli E, Hunt KJ, Slimani N et al (2002) European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5:1113–1124. https://doi.org/10.1079/PHN2002394
Margetts BM, Pietinen P (1997) European Prospective Investigation into Cancer and Nutrition: validity studies on dietary assessment methods. Int J Epidemiol 26(Suppl 1):S1–S5
Sierksma A, van der Gaag MS, Kluft C, Hendriks HFJ (2002) Moderate alcohol consumption reduces plasma C-reactive protein and fibrinogen levels; a randomized, diet-controlled intervention study. Eur J Clin Nutr 56:1130–1136. https://doi.org/10.1038/sj.ejcn.1601459
Avellone G, Di Garbo V, Campisi D et al (2006) Effects of moderate Sicilian red wine consumption on inflammatory biomarkers of atherosclerosis. Eur J Clin Nutr 60:41–47. https://doi.org/10.1038/sj.ejcn.1602265
Turner JJ, Morton LM, Linet MS et al (2010) InterLymph hierarchical classification of lymphoid neoplasms for epidemiologic research based on the WHO classification (2008): update and future directions. Blood 116:e90–e98. https://doi.org/10.1182/blood-2010-06-289561
Psaltopoulou T, Sergentanis TN, Ntanasis-Stathopoulos I, Tzanninis IG, Tsilimigras DIDM (2018) Alcohol consumption and risk of hematological malignancies: a meta-analysis of prospective studies. Int J cancer 143:486–495
Hu FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13:3–9. https://doi.org/10.1097/00041433-200202000-00002
Shivappa N, Bosetti C, Zucchetto A et al (2015) Association between dietary inflammatory index and prostate cancer among Italian men. Br J Nutr 113:278–283. https://doi.org/10.1017/S0007114514003572
Dugue P-A, Hodge AM, Brinkman MT et al (2016) Association between selected dietary scores and the risk of urothelial cell carcinoma: a prospective cohort study. Int J cancer 139:1251–1260. https://doi.org/10.1002/ijc.30175
Smedby KE, Baecklund E, Askling J (2006) Malignant lymphomas in autoimmunity and inflammation: a review of risks, risk factors, and lymphoma characteristics. Cancer Epidemiol Biomarkers Prev 15:2069–2077. https://doi.org/10.1158/1055-9965.EPI-06-0300
Khan G (2006) Epstein-Barr virus, cytokines, and inflammation: a cocktail for the pathogenesis of Hodgkin’s lymphoma? Exp Hematol 34:399–406. https://doi.org/10.1016/j.exphem.2005.11.008
Purdue MP, Lan Q, Martinez-Maza O et al (2009) A prospective study of serum soluble CD30 concentration and risk of non-Hodgkin lymphoma. Blood 114:2730–2732. https://doi.org/10.1182/blood-2009-04-217521
De Roos AJ, Mirick DK, Edlefsen KL et al (2012) Markers of B-cell activation in relation to risk of non-Hodgkin lymphoma. Cancer Res 72:4733–4743. https://doi.org/10.1158/0008-5472.CAN-12-1639
Vermeulen R, Hosnijeh FS, Portengen L et al (2011) Circulating soluble CD30 and future risk of lymphoma; evidence from two prospective studies in the general population. Cancer Epidemiol biomarkers Prev 20:1925–1927. https://doi.org/10.1158/1055-9965.EPI-11-0396
Purdue MP, Hofmann JN, Kemp TJ et al (2013) A prospective study of 67 serum immune and inflammation markers and risk of non-Hodgkin lymphoma. Blood 122:951–957. https://doi.org/10.1182/blood-2013-01-481077
Purdue MP, Lan Q, Bagni R et al (2011) Prediagnostic serum levels of cytokines and other immune markers and risk of non-hodgkin lymphoma. Cancer Res 71:4898–4907. https://doi.org/10.1158/0008-5472.CAN-11-0165
Gu Y, Shore RE, Arslan AA et al (2010) Circulating cytokines and risk of B-cell non-Hodgkin lymphoma: a prospective study. Cancer Causes Control 21:1323–1333. https://doi.org/10.1007/s10552-010-9560-3
Saberi Hosnijeh F, Krop EJM, Scoccianti C et al (2010) Plasma cytokines and future risk of non-Hodgkin lymphoma (NHL): a case–control study nested in the Italian European Prospective Investigation into Cancer and Nutrition. Cancer Epidemiol Biomarkers Prev 19:1577–1584. https://doi.org/10.1158/1055-9965.EPI-09-1237
Conroy SM, Maskarinec G, Morimoto Y et al (2013) Non-hodgkin lymphoma and circulating markers of inflammation and adiposity in a nested case–control study: the multiethnic cohort. Cancer Epidemiol Biomarkers Prev 22:337–347. https://doi.org/10.1158/1055-9965.EPI-12-0947
Berger E, Delpierre C, Hosnijeh FS et al (2018) Association between low-grade inflammation and Breast cancer and B-cell Myeloma and Non-Hodgkin Lymphoma: findings from two prospective cohorts. Sci Rep 8:10805. https://doi.org/10.1038/s41598-018-29041-1
Epstein MM, Rosner B, Breen EC et al (2018) Pre-diagnosis plasma immune markers and risk of non-Hodgkin lymphoma in two prospective cohort studies. Haematologica haematol.2017.183236. https://doi.org/10.3324/haematol.2017.183236
Torre LA, Bray F, Siegel RL et al (2015) Global cancer statistics, 2012. CA Cancer J Clin 65:87–108. https://doi.org/10.3322/caac.21262
Chihara D, Ito H, Matsuda T et al (2014) Differences in incidence and trends of haematological malignancies in Japan and the United States. Br J Haematol 164:536–545. https://doi.org/10.1111/bjh.12659
Clarke CA, Glaser SL, Gomez SL et al (2011) Lymphoid malignancies in U.S. Asians: incidence rate differences by birthplace and acculturation. Cancer Epidemiol Biomarkers Prev 20:1064–1077. https://doi.org/10.1158/1055-9965.EPI-11-0038
Evens AM, Antillón M, Aschebrook-Kilfoy B, Chiu BC-H (2012) Racial disparities in Hodgkin’s lymphoma: a comprehensive population-based analysis. Ann Oncol 23:2128–2137. https://doi.org/10.1093/annonc/mdr578
Lopez-Garcia E, Schulze MB, Fung TT et al (2004) Major dietary patterns are related to plasma concentrations of markers of inflammation and endothelial dysfunction. Am J Clin Nutr 80:1029–1035
Slimani N, Kaaks R, Ferrari P et al (2002) European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutr 5:1125–1145. https://doi.org/10.1079/PHN2002395
Ferrari P, Kaaks R, Fahey MT et al (2004) Within- and between-cohort variation in measured macronutrient intakes, taking account of measurement errors, in the European Prospective Investigation into Cancer and Nutrition study. Am J Epidemiol 160:814–822. https://doi.org/10.1093/aje/kwh280
van Woudenbergh GJ, Theofylaktopoulou D, Kuijsten A et al (2013) Adapted dietary inflammatory index and its association with a summary score for low-grade inflammation and markers of glucose metabolism: the Cohort study on Diabetes and Atherosclerosis Maastricht (CODAM) and the Hoorn study. Am J Clin Nutr 98:1533–1542. https://doi.org/10.3945/ajcn.112.056333
Acknowledgements
We thank all participants of the EPIC study. We thank Catalina Bonet for data management support and Bertrand Hémon at IARC for his valuable work and technical support with the EPIC database.
Funding
European Commission (DG-SANCO), International Agency for Research on Cancer, Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Generale de l’Education Nationale, Institut National de la Sante et de la Recherche Medicale (INSERM) (France), German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany), the Hellenic Health Foundation (Greece), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); German Federal Ministry of Education and Research (BMBF 01EO1303); Grant sponsor: Spanish Ministry of Economy and Competitiveness-Carlos III Institute of Health cofunded by FEDER funds/European Regional Development Fund (ERDF)—a way to build Europe, Grant numbers: [PI13/00061 (to Granada), PI13/01162 (to EPIC-Murcia, Regional Governments of Andalucıa, Asturias, Basque Country, Murcia and Navarra), PI17/01280 and PI14/01219 (to Barcelona), Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP, Spain)]; Grant sponsor: Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR), CERCA Programme / Generalitat de Catalunya for institutional support; Grant number (2017SGR1085); Grant sponsors: Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Vasterbotten (Sweden) and Cancer Research UK; Grant numbers: 14136 (to EPIC-Norfolk), C570/A16491 and C8221/A19170 (to EPIC-Oxford); Grant sponsor: Medical Research Council; Grant numbers: 1000143 (to EPIC-Norfolk), MR/M012190/1 (to EPIC-Oxford, UK).
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DC designed and conducted the research, contributed to the data analysis and manuscript writing, and had primary responsibility for the final content of the manuscript. MSo designed and conducted the research, performed the statistical analysis, wrote the manuscript, and had primary responsibility for the final content of the manuscript. YB, AA, PJ contributed to the data analysis and YB contributed to manuscript writing. MSa contributed to the statistical analysis. ER is the overall coordinator of the EPIC study. All authors contributed to recruitment, data collection and acquisition, biological sample collection, and follow-up and/or management of the EPIC cohort and to the interpretation of the present findings and approval of the final version of the manuscript for publication.
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Solans, M., Benavente, Y., Saez, M. et al. Inflammatory potential of diet and risk of lymphoma in the European Prospective Investigation into Cancer and Nutrition. Eur J Nutr 59, 813–823 (2020). https://doi.org/10.1007/s00394-019-01947-0
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DOI: https://doi.org/10.1007/s00394-019-01947-0