Skip to main content

Advertisement

Log in

Inflammatory potential of the diet and association with risk of differentiated thyroid cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

  • Original Contribution
  • Published:
European Journal of Nutrition Aims and scope Submit manuscript

Abstract

Purpose

Chronic inflammation is thought to initiate or promote differentiated thyroid cancer (DTC) and previous studies have shown that diet can modulate this inflammatory process. We aimed to evaluate the association of several dietary scores reflecting the inflammatory potential of the diet with DTC risk.

Methods

Within the EPIC cohort, 450,063 participants were followed during a mean period of 14 years, and 712 newly incident DTC cases were identified. Associations between four dietary inflammatory scores [the dietary inflammatory index (DII®) and two energy-adjusted derivatives (the E-DIIr and the E-DIId), and the Inflammatory Score of the Diet (ISD)] and DTC risk were evaluated in the EPIC cohort using multivariable Cox regression models.

Results

Positive associations were observed between DTC risk and the DIIs (HR for 1 SD increase in DII: 1.11, 95%CI: 1.01, 1.23, similar results for its derivatives), but not with the ISD (HR for 1 SD increase: 1.04, 95% CI 0.93, 1.16).

Conclusion

Diet-associated inflammation, as estimated by the DII and its derivatives, was weakly positively associated with DTC risk in a European adult population. These results suggesting that diet-associated inflammation acts in the etiology of DTC need to be validated in independent studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

Data availability

EPIC data and biospecimens are available for investigators who seek to answer important questions on health and disease in the context of research projects that are consistent with the legal and ethical standard practices of IARC/WHO and the EPIC Centers. The primary responsibility for accessing the data obtained in the frame of the present publication belongs to the EPIC centers that provided them. The use of a random sample of anonymized data from the EPIC study can be requested by contacting epic@iarc.fr. The request will then be passed on to members of the EPIC Steering Committee for deliberation.

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

CRP:

C-reactive protein

DII:

Dietary inflammatory index

DTC:

Differentiated thyroid cancer

E-DIId :

Dietary inflammatory index adjusted on energy intakes using the density method

E-DIIr :

Dietary inflammatory index adjusted on energy intakes using the residual method

EPIC:

European Prospective Investigation into Cancer and Nutrition

FFQ:

Food frequency questionnaire

HR:

Hazard ratio

IARC:

International Agency for Research on Cancer

IL:

Interleukin

ISD:

Inflammatory score of the diet

SD:

Standard deviation

TNF:

Tumor necrosis factor

References

  1. Bray F, Ferlay J, Soerjomataram I et al (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68:394–424. https://doi.org/10.3322/caac.21492

    Article  PubMed  Google Scholar 

  2. Pellegriti G, Frasca F, Regalbuto C et al (2013) Worldwide increasing incidence of thyroid cancer: update on epidemiology and risk factors. J Cancer Epidemiol 2013:965212. https://doi.org/10.1155/2013/965212

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ito Y, Nikiforov YE, Schlumberger M, Vigneri R (2013) Increasing incidence of thyroid cancer: controversies explored. Nat Rev Endocrinol 9:178–184. https://doi.org/10.1038/nrendo.2012.257

    Article  CAS  PubMed  Google Scholar 

  4. Lim H, Devesa SS, Sosa JA et al (2017) Trends in thyroid cancer incidence and mortality in the United States, 1974–2013. JAMA 317:1338–1348. https://doi.org/10.1001/jama.2017.2719

    Article  PubMed  PubMed Central  Google Scholar 

  5. Ron E, Lubin JH, Shore RE et al (2012) Thyroid cancer after exposure to external radiation: a pooled analysis of seven studies. 1995. Radiat Res 178:AV43–AV60. https://doi.org/10.1667/rrav05.1

    Article  CAS  PubMed  Google Scholar 

  6. Kitahara CM, McCullough ML, Franceschi S et al (2016) Anthropometric factors and thyroid cancer risk by histological subtype: pooled analysis of 22 prospective studies. Thyroid 26:306–318. https://doi.org/10.1089/thy.2015.0319

    Article  PubMed  PubMed Central  Google Scholar 

  7. Caini S, Gibelli B, Palli D et al (2015) Menstrual and reproductive history and use of exogenous sex hormones and risk of thyroid cancer among women: a meta-analysis of prospective studies. Cancer Causes Control 26:511–518. https://doi.org/10.1007/s10552-015-0546-z

    Article  PubMed  Google Scholar 

  8. Zamora-Ros R, Rinaldi S, Tsilidis KK et al (2016) Energy and macronutrient intake and risk of differentiated thyroid carcinoma in the European Prospective Investigation into Cancer and Nutrition study. Int J Cancer 138:65–73. https://doi.org/10.1002/ijc.29693

    Article  CAS  PubMed  Google Scholar 

  9. Xiao Q, Park Y, Hollenbeck AR, Kitahara CM (2014) Dietary flavonoid intake and thyroid cancer risk in the NIH-AARP diet and health study. Cancer Epidemiol Biomark Prev 23:1102–1108. https://doi.org/10.1158/1055-9965.EPI-13-1150

    Article  CAS  Google Scholar 

  10. Xie L, Mo M, Jia H-X et al (2016) Association between dietary nitrate and nitrite intake and sitespecific cancer risk: evidence from observational studies. Oncotarget 7:56915–56932. https://doi.org/10.18632/oncotarget.10917

    Article  PubMed  PubMed Central  Google Scholar 

  11. Cao L-Z, Peng X-D, Xie J-P et al (2017) The relationship between iodine intake and the risk of thyroid cancer: a meta-analysis. Medicine (Baltimore) 96:e6734. https://doi.org/10.1097/MD.0000000000006734

    Article  CAS  Google Scholar 

  12. Bosetti C, Negri E, Kolonel L et al (2002) A pooled analysis of case-control studies of thyroid cancer. VII. Cruciferous and other vegetables (International). Cancer Causes Control 13:765–775. https://doi.org/10.1023/a:1020243527152

    Article  PubMed  Google Scholar 

  13. Hong S-H, Myung S-K, Kim HS, Korean Meta-Analysis (KORMA) Study Group (2017) Alcohol intake and risk of thyroid cancer: a meta-analysis of observational studies. Cancer Res Treat 49:534–547. https://doi.org/10.4143/crt.2016.161

    Article  PubMed  Google Scholar 

  14. Mantovani A, Allavena P, Sica A, Balkwill F (2008) Cancer-related inflammation. Nature 454:436–444. https://doi.org/10.1038/nature07205

    Article  CAS  PubMed  Google Scholar 

  15. Phillips CM, Chen L-W, Heude B et al (2019) Dietary inflammatory index and non-communicable disease risk: a narrative review. Nutrients 11:E1873. https://doi.org/10.3390/nu11081873

    Article  CAS  PubMed  Google Scholar 

  16. Marx W, Veronese N, Kelly JT et al (2021) The dietary inflammatory index and human health: an umbrella review of meta-analyses of observational studies. Adv Nutr 12:1681–1690. https://doi.org/10.1093/advances/nmab037

    Article  PubMed  PubMed Central  Google Scholar 

  17. Lai X, Xia Y, Zhang B et al (2017) A meta-analysis of Hashimoto’s thyroiditis and papillary thyroid carcinoma risk. Oncotarget 8:62414–62424. https://doi.org/10.18632/oncotarget.18620

    Article  PubMed  PubMed Central  Google Scholar 

  18. Zhao ZG, Guo XG, Ba CX et al (2012) Overweight, obesity and thyroid cancer risk: a meta-analysis of cohort studies. J Int Med Res 40:2041–2050. https://doi.org/10.1177/030006051204000601

    Article  CAS  PubMed  Google Scholar 

  19. Stanciu AE, Serdarevic N, Hurduc AE, Stanciu MM (2015) IL-4, IL-10 and high sensitivity-CRP as potential serum biomarkers of persistent/recurrent disease in papillary thyroid carcinoma with/without Hashimoto’s thyroiditis. Scand J Clin Lab Invest 75:539–548. https://doi.org/10.3109/00365513.2015.1057895

    Article  CAS  PubMed  Google Scholar 

  20. Dossus L, Franceschi S, Biessy C et al (2018) Adipokines and inflammation markers and risk of differentiated thyroid carcinoma: The EPIC study. Int J Cancer 142:1332–1342. https://doi.org/10.1002/ijc.31172

    Article  CAS  PubMed  Google Scholar 

  21. 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Galland L (2010) Diet and inflammation. Nutr Clin Pract 25:634–640. https://doi.org/10.1177/0884533610385703

    Article  PubMed  Google Scholar 

  23. Cavicchia PP, Steck SE, Hurley TG et al (2009) A new dietary inflammatory index predicts interval changes in serum high-sensitivity C-reactive protein. J Nutr 139:2365–2372. https://doi.org/10.3945/jn.109.114025

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. 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

    Article  PubMed  Google Scholar 

  25. 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

    Article  CAS  PubMed  Google Scholar 

  26. 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

    Article  PubMed  Google Scholar 

  27. Paquet M, Shivappa N, Hébert JR et al (2020) Dietary inflammatory index and differentiated thyroid carcinoma risk: a population-based case-control study in New Caledonia. Am J Epidemiol 189:95–107. https://doi.org/10.1093/aje/kwz192

    Article  PubMed  Google Scholar 

  28. Lécuyer L, Laouali N, Hajji-Louati M et al (2021) Adapted dietary inflammatory index and differentiated thyroid carcinoma risk in two French population-based case–control studies. Eur J Nutr. https://doi.org/10.1007/s00394-021-02721-x

    Article  PubMed  Google Scholar 

  29. 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

    Article  CAS  PubMed  Google Scholar 

  30. 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):S6-14. https://doi.org/10.1093/ije/26.suppl_1.s6

    Article  PubMed  Google Scholar 

  31. Margetts BM, Pietinen P (1997) European Prospective Investigation into Cancer and Nutrition: validity studies on dietary assessment methods. Int J Epidemiol 26(Suppl 1):S1-5. https://doi.org/10.1093/ije/26.suppl_1.s1

    Article  PubMed  Google Scholar 

  32. Slimani N, Deharveng G, Unwin I et al (2007) The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur J Clin Nutr 61:1037–1056. https://doi.org/10.1038/sj.ejcn.1602679

    Article  CAS  PubMed  Google Scholar 

  33. 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

    Article  CAS  PubMed  Google Scholar 

  34. 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

    Article  CAS  PubMed  Google Scholar 

  35. Willett WC, Howe GR, Kushi LH (1997) Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 65:1220S-1228S. https://doi.org/10.1093/ajcn/65.4.1220S (discussion 1229S–1231S)

    Article  CAS  PubMed  Google Scholar 

  36. Julia C, Assmann KE, Shivappa N et al (2017) Long-term associations between inflammatory dietary scores in relation to long-term C-reactive protein status measured 12 years later: findings from the Supplémentation en Vitamines et Minéraux Antioxydants (SU.VI.MAX) cohort. Br J Nutr 117:306–314. https://doi.org/10.1017/S0007114517000034

    Article  CAS  PubMed  Google Scholar 

  37. Hébert JR, Shivappa N, Wirth MD et al (2019) Perspective: the Dietary Inflammatory Index (DII)-lessons learned, improvements made, and future directions. Adv Nutr 10:185–195. https://doi.org/10.1093/advances/nmy071

    Article  PubMed  PubMed Central  Google Scholar 

  38. Sen A, Tsilidis KK, Allen NE et al (2015) Baseline and lifetime alcohol consumption and risk of differentiated thyroid carcinoma in the EPIC study. Br J Cancer 113:840–847. https://doi.org/10.1038/bjc.2015.280

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Zahedi H, Djalalinia S, Asayesh H et al (2020) A higher dietary inflammatory index score is associated with a higher risk of incidence and mortality of cancer: a comprehensive systematic review and meta-analysis. Int J Prev Med 11:15. https://doi.org/10.4103/ijpvm.IJPVM_332_18

    Article  PubMed  PubMed Central  Google Scholar 

  40. Castro-Espin C, Agudo A, Bonet C et al (2021) Inflammatory potential of the diet and risk of breast cancer in the European Investigation into Cancer and Nutrition (EPIC) study. Eur J Epidemiol. https://doi.org/10.1007/s10654-021-00772-2

    Article  PubMed  Google Scholar 

  41. Zamora-Ros R, Béraud V, Franceschi S et al (2018) Consumption of fruits, vegetables and fruit juices and differentiated thyroid carcinoma risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Int J Cancer 142:449–459. https://doi.org/10.1002/ijc.30880

    Article  CAS  PubMed  Google Scholar 

  42. Zamora-Ros R, Castañeda J, Rinaldi S et al (2017) Consumption of fish is not associated with risk of differentiated thyroid carcinoma in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study. J Nutr 147:1366–1373. https://doi.org/10.3945/jn.117.247874

    Article  CAS  PubMed  Google Scholar 

  43. Liu Z-T, Lin A-H (2014) Dietary factors and thyroid cancer risk: a meta-analysis of observational studies. Nutr Cancer 66:1165–1178. https://doi.org/10.1080/01635581.2014.951734

    Article  CAS  PubMed  Google Scholar 

  44. Pagano L, Mele C, Sama MT et al (2018) Thyroid cancer phenotypes in relation to inflammation and autoimmunity. Front Biosci (Landmark Ed) 23:2267–2282

    Article  CAS  Google Scholar 

  45. Wellen KE, Hotamisligil GS (2003) Obesity-induced inflammatory changes in adipose tissue. J Clin Invest 112:1785–1788. https://doi.org/10.1172/JCI20514

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Kaaks R, Slimani N, Riboli E (1997) Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26(Suppl 1):S26-36. https://doi.org/10.1093/ije/26.suppl_1.s26

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank all participants in the EPIC cohort for their invaluable contribution to the study. The authors also thank Bertrand Hémon (IARC) for his precious help with the EPIC database. We thank the National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands, for their contribution to, and ongoing support of, the EPIC Study. We acknowledge the use of data and biological samples from the EPIC-Oxford cohort, PI Tim Key, from the EPIC-Utrecht cohort, PI Roel Vermeulen, and from the EPIC-Asturias cohort, PI Ramón Quirós. We thank CERCA Program/Generalitat de Catalunya for the institutional support to IDIBELL. RZ-R and we would like to thank the “Miguel Servet” program (CPII20/00009) from the Institute of Health Carlos III (Spain) and the European Social Fund (ESF).

Disclaimer: Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/World Health Organization.

Funding

This work was supported by the Association pour la Recherche sur le Cancer (ARC) (Grant RF20180207126). The funders had no role in the design, analysis, or writing of this article. The coordination of EPIC is financially supported by the International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Center (BRC). The national cohorts are supported by the following: Danish Cancer Society(Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM), Agence Nationale pour la Recherche (ANR-10-COHO-0006) within the Investissement d’Avenir program, Ministère de l’enseignement supérieur, de la recherche et de l’innovation (MESRI, grant number 2103 586016) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di San Paolo 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); Health Research Fund (FIS)—Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden);Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford), (UK). The EPIC-Norfolk study (https://doi.org/10.22025/2019.10.105.00004) has received funding from the Medical Research Council (MR/N003284/1, MC-UU_12015/1 and MC_UU_00006/1) and Cancer Research UK (C864/A14136). We are grateful to all the participants who have been part of the project and to the many members of the study teams at the University of Cambridge who have enabled this research.

Author information

Authors and Affiliations

Authors

Contributions

The author’s contribution were as follows: MCBR and TT coordinated the project. LL, NL, LD, SR, MCBR and TT designed and conducted the research; NS and JRH designed the DII; AA designed the ISD; LL performed the statistical analyses; NL, MCBR and TT supervised the statistical analyses; LL, NS, MCBR and TT interpreted the results and drafted the manuscript. All authors reviewed the manuscript and approved the final version of the paper.

Corresponding author

Correspondence to Thérèse Truong.

Ethics declarations

Conflict of interest

Dr. Marie-Christine Boutron-Ruault declares the following two sponsored conferences outside the present work as: MAYOLI-SPINDLER: 03/07/2020–30/07/2020 Symposium: Pancreatology in practice in 2020 e-JFHOD 2020 Conference « Why do I see more and more pancreatic cancers?» GILEAD 04/12/2020–04/12/2020- e-conference Weight gain and HIV infection in 2020. Dr. James R. Hébert owns controlling interest in Connecting Health Innovations LLC (CHI), a company that has licensed the right to his invention of the dietary inflammatory index (DII®) from the University of South Carolina in order to develop computer and smart phone applications for patient counseling and dietary intervention in clinical settings. Dr. Nitin Shivappa is an employee of CHI. The subject matter of this paper will not have any direct bearing on that work, nor has that activity exerted any influence on this project.

Ethics approval

The study was conducted according to the guidelines of the Declaration of Helsinki. Approval for the EPIC study was obtained from the ethical review boards of the International Agency for Research on Cancer (IARC) and all national recruitment institutions. Informed consent was obtained from all EPIC participants.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 150 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lécuyer, L., Laouali, N., Dossus, L. et al. Inflammatory potential of the diet and association with risk of differentiated thyroid cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Eur J Nutr 61, 3625–3635 (2022). https://doi.org/10.1007/s00394-022-02897-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00394-022-02897-w

Keywords