Diet, nutrition, and cancer: past, present and future

Despite the potentially important roles of diet and nutrition in cancer prevention, the evidence to support these roles is widely perceived by the public and health professionals as being inconsistent. In this Review, we present the issues and challenges in conducting and interpreting diet–cancer research, including those relating to the design of epidemiological studies, dietary data collection methods, and factors that affect the outcome of intervention trials. Approaches to improve effect estimates, such as the use of biomarkers to improve the accuracy of characterizing dietary exposures, are also discussed. Nutritional and dietary patterns are complex; therefore, the use of a reductionist approach to investigations, by focusing on specific nutrients, can produce misleading information. The effects of tumour heterogeneity and the failure to appreciate the nonlinear, U-shaped relationship between micronutrients and cancer in both observational studies and clinical trials are discussed. New technologies and investigational approaches are enabling the exploration of complex interactions between genetic, epigenetic, metabolic, and gut-microbial processes that will inform our knowledge of the diet–cancer relationship. Communicating the status of the evolving science in the context of the overall scientific evidence base, and evidence-based dietary recommendations for cancer prevention, should be emphasized in guidance for the public and for individual patients.

[1]  F. Bushman,et al.  Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes , 2011, Science.

[2]  F. Marincola,et al.  Influence of Quercetin-Rich Food Intake on microRNA Expression in Lung Cancer Tissues , 2012, Cancer Epidemiology, Biomarkers & Prevention.

[3]  Alison S. Waller,et al.  Genomic variation landscape of the human gut microbiome , 2012, Nature.

[4]  T. Wadden,et al.  Reprint: 2013 AHA/ACC Guideline on Lifestyle Management to Reduce Cardiovascular Risk. , 2014, Journal of the American Pharmacists Association : JAPhA.

[5]  K. Lundstrom Cancer and Diet , 2012 .

[6]  C. Wild,et al.  The exposome: from concept to utility. , 2012, International journal of epidemiology.

[7]  M. Grant Galen on food and diet , 2000 .

[8]  M. Diederich,et al.  MicroRNAs in cancer management and their modulation by dietary agents. , 2012, Biochemical pharmacology.

[9]  S. Larsson,et al.  Folate intake, MTHFR polymorphisms, and risk of esophageal, gastric, and pancreatic cancer: a meta-analysis. , 2006, Gastroenterology.

[10]  P. Prorok,et al.  Evidence of a healthy volunteer effect in the prostate, lung, colorectal, and ovarian cancer screening trial. , 2007, American journal of epidemiology.

[11]  J. Miranda-Ríos,et al.  The Emerging Role of MicroRNAs in the Regulation of Gene Expression by Nutrients , 2013, Lifestyle Genomics.

[12]  J. Manson,et al.  The Women’s Health Initiative Randomized Controlled Dietary Modification Trial , 2022 .

[13]  F. Schmidt Meta-Analysis , 2008 .

[14]  A. Jemal,et al.  Cancer statistics, 2014 , 2014, CA: a cancer journal for clinicians.

[15]  N. Freedman,et al.  Index‐based dietary patterns and risk of incident hepatocellular carcinoma and mortality from chronic liver disease in a prospective study , 2014, Hepatology.

[16]  M. Dieci,et al.  Rare breast cancer subtypes: histological, molecular, and clinical peculiarities. , 2014, The oncologist.

[17]  Victoria L. Cafourek,et al.  Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies. , 2011, Journal of the National Cancer Institute.

[18]  Nea Malila,et al.  Incidence of cancer and mortality following alpha-tocopherol and beta-carotene supplementation: a postintervention follow-up. , 2003, JAMA.

[19]  Z. Isa,et al.  Dietary patterns and risk of colorectal cancer: a systematic review of cohort studies (2000-2011). , 2012, Asian Pacific journal of cancer prevention : APJCP.

[20]  J. Rubenstein,et al.  The Synergistic Effects of Alcohol and Tobacco Consumption on the Risk of Esophageal Squamous Cell Carcinoma: A Meta-Analysis , 2014, The American Journal of Gastroenterology.

[21]  Augustin Scalbert,et al.  Review of Mass Spectrometry–Based Metabolomics in Cancer Research , 2013, Cancer Epidemiology, Biomarkers & Prevention.

[22]  D. Midthune,et al.  OPEN about obesity: recovery biomarkers, dietary reporting errors and BMI , 2007, International Journal of Obesity.

[23]  I. Huybrechts,et al.  Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. , 2012, International journal of epidemiology.

[24]  F A Jones,et al.  Description of a food recording electronic device for use in dietary surveys. , 1986, Human nutrition. Applied nutrition.

[25]  J. Potter,et al.  A Candidate-Pathway Approach to Identify Gene-Environment Interactions: Analyses of Colon Cancer Risk and Survival. , 2015, Journal of the National Cancer Institute.

[26]  R. Farris,et al.  Dietary assessment in children using electronic methods: telephones and tape recorders. , 1990, Journal of the American Dietetic Association.

[27]  A. Lea Dietary factors associated with death-rates from certain neoplasms in man. , 1966, Lancet.

[28]  S. Epstein,et al.  Cancer and diet. , 1984, Science.

[29]  W. Willett,et al.  Dietary patterns and pancreatic cancer risk in men and women. , 2005, Journal of the National Cancer Institute.

[30]  R. Doll,et al.  The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today. , 1981, Journal of the National Cancer Institute.

[31]  R. Prentice,et al.  Calibration of Self-Reported Dietary Measures Using Biomarkers: An Approach to Enhancing Nutritional Epidemiology Reliability , 2013, Current Atherosclerosis Reports.

[32]  K. Anderson,et al.  Nutrients, Food Groups, Dietary Patterns, and Risk of Pancreatic Cancer in Postmenopausal Women , 2011, Cancer Epidemiology, Biomarkers & Prevention.

[33]  Blandine Comte,et al.  Mass spectrometry-based metabolomics for the discovery of biomarkers of fruit and vegetable intake: citrus fruit as a case study. , 2013, Journal of proteome research.

[34]  F. Clavel-Chapelon,et al.  Intake of fruits and vegetables and risk of cancer of the upper aero-digestive tract: the prospective EPIC-study , 2006, Cancer Causes & Control.

[35]  J. Manson,et al.  Low-fat dietary pattern and risk of colorectal cancer: the Women's Health Initiative Randomized Controlled Dietary Modification Trial. , 2006, JAMA.

[36]  N. Day,et al.  Commentary: fat and breast cancer: time to re-evaluate both methods and results? , 2006, International journal of epidemiology.

[37]  L. Ferguson,et al.  The Interaction between Epigenetics, Nutrition and the Development of Cancer , 2015, Nutrients.

[38]  C. Abnet,et al.  Alcohol intake and risk of oesophageal adenocarcinoma: a pooled analysis from the BEACON Consortium , 2011, Gut.

[39]  M. Harrison A Global Perspective , 2015, Bulletin of the history of medicine.

[40]  L. Murray,et al.  Sex-specific associations between body mass index, waist circumference and the risk of Barrett's oesophagus: a pooled analysis from the international BEACON consortium , 2013, Gut.

[41]  J. Greene,et al.  The burden of disease and the changing task of medicine. , 2012, The New England journal of medicine.

[42]  Ian Jordaan,et al.  The concept of utility , 2005 .

[43]  N. Boyd,et al.  Prevention and Epidemiology a Randomized Trial of Dietary Intervention for Breast Cancer Prevention , 2022 .

[44]  S. Brennan,et al.  Dietary patterns and breast cancer risk: a systematic review and meta-analysis. , 2010, The American journal of clinical nutrition.

[45]  A. Schatzkin,et al.  Observational Epidemiologic Studies of Nutrition and Cancer: The Next Generation (with Better Observation) , 2009, Cancer Epidemiology Biomarkers & Prevention.

[46]  P. Vineis,et al.  Global cancer patterns: causes and prevention , 2014, The Lancet.

[47]  G. Eslick,et al.  Association between human papillomavirus (HPV) and oesophageal squamous cell carcinoma: a meta-analysis , 2014, Epidemiology and Infection.

[48]  W. Willett,et al.  Diet, nutrition and the prevention of cancer , 2004, Public Health Nutrition.

[49]  Tom Baranowski,et al.  Need for technological innovation in dietary assessment. , 2010, Journal of the American Dietetic Association.

[50]  Jeannette Beasley,et al.  Regression calibration in nutritional epidemiology: example of fat density and total energy in relationship to postmenopausal breast cancer. , 2013, American journal of epidemiology.

[51]  T. Byers,et al.  Macronutrient Composition Influence on Breast Cancer Risk in Hispanic and Non-Hispanic White Women: The 4-Corners Breast Cancer Study , 2011, Nutrition and cancer.

[52]  H. Morgenstern,et al.  Nutrient-based dietary patterns and the risk of head and neck cancer: a pooled analysis in the International Head and Neck Cancer Epidemiology consortium. , 2012, Annals of oncology : official journal of the European Society for Medical Oncology.

[53]  G. Colditz Overview of the Epidemiology Methods and Applications: Strengths and Limitations of Observational Study Designs , 2010, Critical reviews in food science and nutrition.

[54]  R. Knight,et al.  The Human Microbiome Project , 2007, Nature.

[55]  R. Chlebowski Influence of Diet on Prognosis Following Treatment for Breast Cancer: The Women's Healthy Eating and Living (WHEL) Randomized Trial , 2008 .

[56]  H. Morgenstern,et al.  Vitamin E intake from natural sources and head and neck cancer risk: a pooled analysis in the International Head and Neck Cancer Epidemiology consortium , 2015, British Journal of Cancer.

[57]  X. Wang,et al.  Dietary patterns and oesophageal squamous cell carcinoma: a systematic review and meta-analysis , 2014, British Journal of Cancer.

[58]  Victor Kipnis,et al.  Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. , 2014, American journal of epidemiology.

[59]  K. Lillycrop,et al.  Nutrition, epigenetics, and developmental plasticity: implications for understanding human disease. , 2010, Annual review of nutrition.

[60]  E. Ho,et al.  Dietary sulforaphane, a histone deacetylase inhibitor for cancer prevention. , 2009, The Journal of nutrition.

[61]  J. Manson,et al.  Low-fat dietary pattern and risk of invasive breast cancer: the Women's Health Initiative Randomized Controlled Dietary Modification Trial. , 2006, JAMA.

[62]  David E. Williams,et al.  MicroRNA profiling of carcinogen-induced rat colon tumors and the influence of dietary spinach. , 2012, Molecular nutrition & food research.

[63]  M R Cullen,et al.  Risk factors for lung cancer and for intervention effects in CARET, the Beta-Carotene and Retinol Efficacy Trial. , 1996, Journal of the National Cancer Institute.

[64]  J. Palmgren,et al.  Effects of alpha-tocopherol and beta-carotene supplements on cancer incidence in the Alpha-Tocopherol Beta-Carotene Cancer Prevention Study. , 1995, The American journal of clinical nutrition.

[65]  C. Ulrich,et al.  Colorectal adenomas and the C677T MTHFR polymorphism: evidence for gene-environment interaction? , 1999, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[66]  N. Fuente,et al.  Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies , 2011 .

[67]  J. Olsen,et al.  Causes and Prevention , 1991, Scandinavian journal of social medicine.

[68]  Raymond J Carroll,et al.  Bias in dietary-report instruments and its implications for nutritional epidemiology , 2002, Public Health Nutrition.

[69]  Renee F Wilson,et al.  The Efficacy and Safety of Multivitamin and Mineral Supplement Use To Prevent Cancer and Chronic Disease in Adults: A Systematic Review for a National Institutes of Health State-of-the-Science Conference , 2006, Annals of Internal Medicine.

[70]  I. Gram,et al.  Plasma Folate, Related Genetic Variants, and Colorectal Cancer Risk in EPIC , 2010, Cancer Epidemiology, Biomarkers & Prevention.

[71]  Estelle Pujos-Guillot,et al.  Metabolomics provide new insight on the metabolism of dietary phytochemicals in rats. , 2008, The Journal of nutrition.

[72]  N. Rothman,et al.  Pre‐diagnostic urinary 15‐F2t‐isoprostane level and liver cancer risk: Results from the Shanghai Women's and Men's Health Studies , 2018, International journal of cancer.

[73]  T. Baranowski,et al.  The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. , 2012, Journal of the Academy of Nutrition and Dietetics.

[74]  D. Wishart,et al.  The food metabolome: a window over dietary exposure. , 2014, The American journal of clinical nutrition.

[75]  P. Kris-Etherton,et al.  Insights and perspectives on dietary modifications to reduce the risk of cardiovascular disease. , 2014, Advances in nutrition.

[76]  D. Mellor,et al.  Diabetes UK evidence‐based nutrition guidelines for the prevention and management of diabetes , 2011, Diabetic medicine : a journal of the British Diabetic Association.

[77]  R. Prentice,et al.  Statistical Aspects of the Use of Biomarkers in Nutritional Epidemiology Research , 2009, Statistics in biosciences.

[78]  Raymond J Carroll,et al.  Structure of dietary measurement error: results of the OPEN biomarker study. , 2003, American journal of epidemiology.

[79]  M. Thun,et al.  American Cancer Society guidelines on nutrition and physical activity for cancer prevention , 2002, CA: a cancer journal for clinicians.

[80]  M. Kretsch,et al.  Validation of a new computerized technique for quantitating individual dietary intake: the Nutrition Evaluation Scale System (NESSy) vs the weighed food record. , 1990, The American journal of clinical nutrition.

[81]  D. Marchioni,et al.  Breast cancer and dietary patterns: a systematic review. , 2014, Nutrition reviews.

[82]  JoAnn E Manson,et al.  Comparing indices of diet quality with chronic disease mortality risk in postmenopausal women in the Women's Health Initiative Observational Study: evidence to inform national dietary guidance. , 2014, American journal of epidemiology.

[83]  Gabriele Riccardi,et al.  Evaluation of New Computerized Method for Recording 7-Day Food Intake in IDDM Patients , 1991, Diabetes Care.

[84]  Raymond J Carroll,et al.  Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations. , 2011, American journal of epidemiology.

[85]  Victor Kipnis,et al.  Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study. , 2010, American journal of epidemiology.

[86]  S. Kirkpatrick,et al.  Update of the Healthy Eating Index: HEI-2010. , 2013, Journal of the Academy of Nutrition and Dietetics.

[87]  D. Mozaffarian,et al.  Unprocessed Red and Processed Meats and Risk of Coronary Artery Disease and Type 2 Diabetes – An Updated Review of the Evidence , 2012, Current Atherosclerosis Reports.

[88]  S. Mayne,et al.  The Healthy Eating Index 2005 and risk for pancreatic cancer in the NIH-AARP study. , 2013, Journal of the National Cancer Institute.

[89]  Wendy S. Garrett,et al.  Cancer and the microbiota , 2015, Science.

[90]  Bette Caan,et al.  Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. , 2011, American journal of epidemiology.

[91]  T. Crowe Reducing the risk of cancer by healthy food choices and physical activity , 2013 .

[92]  E. Wynder,et al.  Breast cancer: weighing the evidence for a promoting role of dietary fat. , 1997, Journal of the National Cancer Institute.

[93]  D. Mellor,et al.  Diabetes UK evidence‐based nutrition guidelines for the prevention and management of diabetes , 2018, Diabetic medicine : a journal of the British Diabetic Association.

[94]  K. Bättig,et al.  Comparison of an electronic food diary with a nonquantitative food frequency questionnaire in male and female smokers and nonsmokers. , 1996, Journal of the American Dietetic Association.

[95]  R. Lau,et al.  Nonlinear reduction in risk for colorectal cancer by fruit and vegetable intake based on meta-analysis of prospective studies. , 2011, Gastroenterology.

[96]  A. Olshan,et al.  Associations between dietary patterns and head and neck cancer: the Carolina head and neck cancer epidemiology study. , 2012, American journal of epidemiology.

[97]  K. Lillycrop,et al.  Breast cancer and the importance of early life nutrition. , 2014, Cancer treatment and research.

[98]  Joshua N Sampson,et al.  Metabolomics in nutritional epidemiology: identifying metabolites associated with diet and quantifying their potential to uncover diet-disease relations in populations. , 2014, The American journal of clinical nutrition.

[99]  J. Freudenheim,et al.  Study design and hypothesis testing: issues in the evaluation of evidence from research in nutritional epidemiology. , 1999, The American journal of clinical nutrition.

[100]  R. Sinha,et al.  Serum biomarkers of habitual coffee consumption may provide insight into the mechanism underlying the association between coffee consumption and colorectal cancer. , 2015, The American journal of clinical nutrition.

[101]  C. Thomson,et al.  Fruit and vegetable intake and breast cancer risk: a case for subtype-specific risk? , 2013, Journal of the National Cancer Institute.

[102]  Stephen M Rappaport,et al.  Biomarkers intersect with the exposome , 2012, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.

[103]  Ying Huang,et al.  Measurement Error Corrected Sodium and Potassium Intake Estimation Using 24-Hour Urinary Excretion , 2014, Hypertension.

[104]  A. Olshan,et al.  Body mass index and risk of head and neck cancer by race: the Carolina Head and Neck Cancer Epidemiology Study. , 2014, Annals of epidemiology.

[105]  J. Lampe,et al.  Gut microbes, diet, and cancer. , 2014, Cancer treatment and research.

[106]  C. Davis,et al.  MicroRNA, nutrition, and cancer prevention. , 2011, Advances in nutrition.

[107]  David S. Wishart,et al.  HMDB 3.0—The Human Metabolome Database in 2013 , 2012, Nucleic Acids Res..

[108]  Y. Liu,et al.  Prevalence and risk factors for esophageal squamous cell cancer and precursor lesions in Anyang, China: a population-based endoscopic survey , 2010, British Journal of Cancer.

[109]  Pamela A Shaw,et al.  Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. , 2008, American journal of epidemiology.

[110]  A. Ciapponi,et al.  Efficacy and safety of human papilloma virus vaccine in cervical cancer prevention: systematic review and meta-analysis. , 2012, Archivos argentinos de pediatria.

[111]  N. Freedman,et al.  Body mass index in relation to oesophageal and oesophagogastric junction adenocarcinomas: a pooled analysis from the International BEACON Consortium , 2012, International journal of epidemiology.

[112]  D. Midthune,et al.  Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. , 2003, American journal of epidemiology.

[113]  E. Mohammadi,et al.  Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[114]  S. Mayne,et al.  Lessons learned from randomized clinical trials of micronutrient supplementation for cancer prevention. , 2012, Annual review of nutrition.

[115]  Jennifer S. Lin,et al.  Vitamin and Mineral Supplements in the Primary Prevention of Cardiovascular Disease and Cancer: An Updated Systematic Evidence Review for the U.S. Preventive Services Task Force , 2013, Annals of Internal Medicine.

[116]  R. Díaz,et al.  The role of nutrition on epigenetic modifications and their implications on health. , 2012, Biochimie.

[117]  Gretchen L. Gierach,et al.  Endometrial cancer risk factors by 2 main histologic subtypes: the NIH-AARP Diet and Health Study. , 2013, American journal of epidemiology.

[118]  W. Willett,et al.  Fruit and vegetable intake and risk of breast cancer by hormone receptor status. , 2013, Journal of the National Cancer Institute.

[119]  Janusz Wnek,et al.  2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. , 2014, Circulation.

[120]  C. Perou,et al.  How many etiological subtypes of breast cancer: two, three, four, or more? , 2014, Journal of the National Cancer Institute.

[121]  F. Clavel-Chapelon,et al.  Is concordance with World Cancer Research Fund/American Institute for Cancer Research guidelines for cancer prevention related to subsequent risk of cancer? Results from the EPIC study. , 2012, The American journal of clinical nutrition.

[122]  M. Delgado-Rodríguez,et al.  Systematic review and meta-analysis. , 2017, Medicina intensiva.

[123]  C. Wild Complementing the Genome with an “Exposome”: The Outstanding Challenge of Environmental Exposure Measurement in Molecular Epidemiology , 2005, Cancer Epidemiology Biomarkers & Prevention.

[124]  C. Abnet,et al.  A prospective study of tobacco, alcohol, and the risk of esophageal and gastric cancer subtypes. , 2007, American journal of epidemiology.

[125]  G. Blackburn,et al.  Dietary fat reduction and breast cancer outcome: results from the Women's Intervention Nutrition Study (WINS). , 2007, The American journal of clinical nutrition.

[126]  Kathleen M. Fairfield,et al.  Vitamins for chronic disease prevention in adults: scientific review. , 2002, JAMA.

[127]  David E. Williams,et al.  MicroRNAs, diet, and cancer: New mechanistic insights on the epigenetic actions of phytochemicals , 2012, Molecular carcinogenesis.

[128]  L. Murray,et al.  Dietary fiber and the risk of precancerous lesions and cancer of the esophagus: a systematic review and meta-analysis. , 2013, Nutrition reviews.

[129]  R. Carroll,et al.  Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology. , 2012, American journal of epidemiology.

[130]  M. Stampfer,et al.  Evidence-based criteria in the nutritional context. , 2010, Nutrition reviews.

[131]  J. Manson,et al.  Low-fat dietary pattern and risk of cardiovascular disease: the Women's Health Initiative Randomized Controlled Dietary Modification Trial. , 2006, JAMA.

[132]  Wong-Ho Chow,et al.  Principal component analysis of dietary and lifestyle patterns in relation to risk of subtypes of esophageal and gastric cancer. , 2011, Annals of epidemiology.

[133]  C. Mathers,et al.  Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012 , 2015, International journal of cancer.

[134]  N. Youngson,et al.  Transgenerational epigenetic effects. , 2008, Annual review of genomics and human genetics.

[135]  C. la Vecchia,et al.  Dietary patterns and gastric cancer risk: a systematic review and meta-analysis. , 2013, Annals of oncology : official journal of the European Society for Medical Oncology.

[136]  M. Hughes,et al.  Dietary phyto-oestrogens and the risk of ovarian and endometrial cancers: findings from two Australian case–control studies , 2013, British Journal of Nutrition.

[137]  Arshag D Mooradian,et al.  Evidence-based nutrition principles and recommendations for the treatment and prevention of diabetes and related complications. , 2002, Diabetes care.

[138]  I. White,et al.  Dietary fat and breast cancer: comparison of results from food diaries and food-frequency questionnaires in the UK Dietary Cohort Consortium. , 2011, The American journal of clinical nutrition.

[139]  M. Thun,et al.  American Cancer Society Guidelines on Nutrition and Physical Activity for Cancer Prevention: Reducing the Risk of Cancer With Healthy Food Choices and Physical Activity , 2002, CA: a cancer journal for clinicians.

[140]  A. Jaffe,et al.  2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. , 2014, Circulation.

[141]  Wei Zheng,et al.  Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications , 2013, Cancer Epidemiology, Biomarkers & Prevention.

[142]  H Boeing,et al.  Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy, protein, and macronutrient intakes estimated with the doubly labeled water, urinary nitrogen, and repeated 24-h dietary , 1999, The American journal of clinical nutrition.

[143]  A. Schatzkin,et al.  Epidemiological and clinical studies of nutrition. , 2010, Seminars in oncology.

[144]  Victor Kipnis,et al.  Dealing with dietary measurement error in nutritional cohort studies. , 2011, Journal of the National Cancer Institute.

[145]  R. Carroll,et al.  A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. , 2006, International journal of epidemiology.