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Published in: Cancer Causes & Control 11/2018

01-11-2018 | Commentary

Nutritional epidemiology and cancer: A Tale of Two Cities

Author: Edward Giovannucci

Published in: Cancer Causes & Control | Issue 11/2018

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Abstract

Recently, Ioannidis questioned whether nutritional epidemiology could be reconciled with good scientific principles, and suggested that the field needs radical reform. One of the reforms he advocated was more randomized trials; though what diet would be tested and how it would be measured were unspecified, how adherence would be monitored was unclear or unimportant, and the length of time vaguely stated as “lifelong”. The other reform was reanalysis of shared data, which actually already exists in a large number of cohort consortia of individual pooled data. The 2018 report analysis of diet and cancer from the World Cancer Fund/American Institute of Cancer Research presents a sharply different picture of our knowledge of nutrition and cancer, which has evolved immensely in the past 3 decades. Based on current knowledge, factors related to energy balance, encompassed by body mass anthropometric measures might account for about 10–15% of the U.S. cancer burden. This 10–15% encompasses physical activity and obesogenic effects of diet. About 5% may be attributable to alcohol, and another 5% to specific dietary factors combined (e.g., red and processed meat, whole grains, fiber, calcium, fruits, and vegetables). Surrogates such as attained height and age at menarche are influenced by nutrition and are consistent risk factors for cancer, supporting the importance of early nutrition. Recent data suggest that early life dietary patterns, which may be modifiable, may be important. Though important questions remain, our understanding of nutrition and cancer over the life course is coherent and has been informed by nutritional epidemiology and other data.
Literature
1.
go back to reference Trepanowski JF, Ioannidis JPA (2018) Perspective: limiting dependence on nonrandomized studies and improving randomized trials in human nutrition research: why and how. Adv Nutr 9(4):367–377CrossRef Trepanowski JF, Ioannidis JPA (2018) Perspective: limiting dependence on nonrandomized studies and improving randomized trials in human nutrition research: why and how. Adv Nutr 9(4):367–377CrossRef
2.
go back to reference Ioannidis JP (2013) Implausible results in human nutrition research. BMJ 347:f6698CrossRef Ioannidis JP (2013) Implausible results in human nutrition research. BMJ 347:f6698CrossRef
3.
go back to reference Ioannidis JPA (2018) The challenge of reforming nutritional epidemiologic research. JAMA 320:969–970CrossRef Ioannidis JPA (2018) The challenge of reforming nutritional epidemiologic research. JAMA 320:969–970CrossRef
5.
go back to reference Satija A, Stampfer MJ, Rimm EB et al (2018) Perspective: are large, simple trials the solution for nutrition research? Adv Nutr 9(4):378–387CrossRef Satija A, Stampfer MJ, Rimm EB et al (2018) Perspective: are large, simple trials the solution for nutrition research? Adv Nutr 9(4):378–387CrossRef
7.
go back to reference Thompson R, Mitrou G, Brown S et al (2018) Major new review of global evidence on diet, nutrition and physical activity: a blueprint to reduce cancer risk. Nutr Bull 43:269–283CrossRef Thompson R, Mitrou G, Brown S et al (2018) Major new review of global evidence on diet, nutrition and physical activity: a blueprint to reduce cancer risk. Nutr Bull 43:269–283CrossRef
8.
go back to reference Bonovas S, Fiorino G, Lytras T et al (2016) Calcium supplementation for the prevention of colorectal adenomas: a systematic review and meta-analysis of randomized controlled trials. World J Gastroenterol 22(18):4594–4603CrossRef Bonovas S, Fiorino G, Lytras T et al (2016) Calcium supplementation for the prevention of colorectal adenomas: a systematic review and meta-analysis of randomized controlled trials. World J Gastroenterol 22(18):4594–4603CrossRef
9.
go back to reference Doll R, Peto R (1981) The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today. J Natl Cancer Inst 66(6):1191–1308CrossRef Doll R, Peto R (1981) The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today. J Natl Cancer Inst 66(6):1191–1308CrossRef
10.
go back to reference Martinez M, Marshall J, Giovannucci E (2008) Diet and cancer prevention: the roles of observation and experimentation. Nat Rev Cancer 8(9):694–703CrossRef Martinez M, Marshall J, Giovannucci E (2008) Diet and cancer prevention: the roles of observation and experimentation. Nat Rev Cancer 8(9):694–703CrossRef
12.
go back to reference Islami F, Goding Sauer A, Miller KD et al (2018) Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States. CA Cancer J Clin 68(1):31–54CrossRef Islami F, Goding Sauer A, Miller KD et al (2018) Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States. CA Cancer J Clin 68(1):31–54CrossRef
13.
go back to reference Parkin DM, Boyd L, Walker LC (2011) The fraction of cancer attributable to lifestyle and environmental factors in the UK in 2010. Br J Cancer 105(Suppl 2):S77–S81CrossRef Parkin DM, Boyd L, Walker LC (2011) The fraction of cancer attributable to lifestyle and environmental factors in the UK in 2010. Br J Cancer 105(Suppl 2):S77–S81CrossRef
14.
go back to reference Kabat GC, Matthews CE, Kamensky V et al (2015) Adherence to cancer prevention guidelines and cancer incidence, cancer mortality, and total mortality: a prospective cohort study. Am J Clin Nutr 101(3):558–569CrossRef Kabat GC, Matthews CE, Kamensky V et al (2015) Adherence to cancer prevention guidelines and cancer incidence, cancer mortality, and total mortality: a prospective cohort study. Am J Clin Nutr 101(3):558–569CrossRef
15.
go back to reference Zhang C, Rexrode KM, Van Dam RM et al (2008) Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Circulation 117(13):1658–1667CrossRef Zhang C, Rexrode KM, Van Dam RM et al (2008) Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Circulation 117(13):1658–1667CrossRef
16.
go back to reference Keum N, Lee D, Kim R et al (2015) Visceral adiposity and colorectal adenomas: dose-response meta-analysis of observational studies. Ann Oncol 26(6):1101–1109CrossRef Keum N, Lee D, Kim R et al (2015) Visceral adiposity and colorectal adenomas: dose-response meta-analysis of observational studies. Ann Oncol 26(6):1101–1109CrossRef
17.
go back to reference Giovannucci E, Rimm EB, Liu Y et al. Height, predictors of C-peptide and cancer risk in men. Int J Epidemiol 33(1):217–225CrossRef Giovannucci E, Rimm EB, Liu Y et al. Height, predictors of C-peptide and cancer risk in men. Int J Epidemiol 33(1):217–225CrossRef
18.
go back to reference Farvid MS, Chen WY, Michels KB et al (2016) Fruit and vegetable consumption in adolescence and early adulthood and risk of breast cancer: population based cohort study. BMJ 353:i2343CrossRef Farvid MS, Chen WY, Michels KB et al (2016) Fruit and vegetable consumption in adolescence and early adulthood and risk of breast cancer: population based cohort study. BMJ 353:i2343CrossRef
19.
go back to reference Yuan C, Spiegelman D, Rimm EB et al (2018) Relative validity of nutrient intakes assessed by questionnaire, 24-hour recalls, and diet records as compared with urinary recovery and plasma concentration biomarkers: findings for women. Am J Epidemiol 187(5):1051–1063CrossRef Yuan C, Spiegelman D, Rimm EB et al (2018) Relative validity of nutrient intakes assessed by questionnaire, 24-hour recalls, and diet records as compared with urinary recovery and plasma concentration biomarkers: findings for women. Am J Epidemiol 187(5):1051–1063CrossRef
20.
go back to reference Yuan C, Spiegelman D, Rimm EB et al (2017) Validity of a dietary questionnaire assessed by comparison with multiple weighed dietary records or 24-hour recalls. Am J Epidemiol 185(7):570–584CrossRef Yuan C, Spiegelman D, Rimm EB et al (2017) Validity of a dietary questionnaire assessed by comparison with multiple weighed dietary records or 24-hour recalls. Am J Epidemiol 185(7):570–584CrossRef
21.
go back to reference Park Y, Dodd KW, Kipnis V et al (2018) Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr 107(1):80–93CrossRef Park Y, Dodd KW, Kipnis V et al (2018) Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr 107(1):80–93CrossRef
22.
go back to reference Shu XO, Yang G, Jin F et al (2004) Validity and reproducibility of the food frequency questionnaire used in the Shanghai Women’s Health Study. Eur J Clin Nutr 58(1):17–23CrossRef Shu XO, Yang G, Jin F et al (2004) Validity and reproducibility of the food frequency questionnaire used in the Shanghai Women’s Health Study. Eur J Clin Nutr 58(1):17–23CrossRef
23.
go back to reference Kroke A, Klipstein-Grobusch K, Voss S et al (1999) 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 recall methods. Am J Clin Nutr 70(4):439–447CrossRef Kroke A, Klipstein-Grobusch K, Voss S et al (1999) 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 recall methods. Am J Clin Nutr 70(4):439–447CrossRef
24.
go back to reference Tabung FK, Brown LS, Fung TT (2017) Dietary patterns and colorectal cancer risk: a review of 17 years of evidence (2000–2016). Curr Colorectal Cancer Rep 13(6):440–454CrossRef Tabung FK, Brown LS, Fung TT (2017) Dietary patterns and colorectal cancer risk: a review of 17 years of evidence (2000–2016). Curr Colorectal Cancer Rep 13(6):440–454CrossRef
25.
go back to reference Katz DL, Meller S (2014) Can we say what diet is best for health? Annu Rev Public Health 35:83–103CrossRef Katz DL, Meller S (2014) Can we say what diet is best for health? Annu Rev Public Health 35:83–103CrossRef
26.
go back to reference Fogelholm M, Anderssen S, Gunnarsdottir I et al (2012) Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review. Food Nutr Res 56:19103CrossRef Fogelholm M, Anderssen S, Gunnarsdottir I et al (2012) Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review. Food Nutr Res 56:19103CrossRef
27.
go back to reference Swinburn BA, Sacks G, Hall KD et al (2011) The global obesity pandemic: shaped by global drivers and local environments. Lancet 378(9793):804–814CrossRef Swinburn BA, Sacks G, Hall KD et al (2011) The global obesity pandemic: shaped by global drivers and local environments. Lancet 378(9793):804–814CrossRef
28.
go back to reference Rodgers A, Woodward A, Swinburn B et al (2018) Prevalence trends tell us what did not precipitate the US obesity epidemic. Lancet Public Health 3(4):e162–e163CrossRef Rodgers A, Woodward A, Swinburn B et al (2018) Prevalence trends tell us what did not precipitate the US obesity epidemic. Lancet Public Health 3(4):e162–e163CrossRef
29.
go back to reference Scarborough P, Burg MR, Foster C et al (2011) Increased energy intake entirely accounts for increase in body weight in women but not in men in the UK between 1986 and 2000. Br J Nutr 105(9):1399–1404CrossRef Scarborough P, Burg MR, Foster C et al (2011) Increased energy intake entirely accounts for increase in body weight in women but not in men in the UK between 1986 and 2000. Br J Nutr 105(9):1399–1404CrossRef
30.
go back to reference Giovannucci E (2018) An integrative approach for deciphering the causal associations of physical activity and cancer risk: the role of adiposity. J Natl Cancer Inst 110(9):935–941CrossRef Giovannucci E (2018) An integrative approach for deciphering the causal associations of physical activity and cancer risk: the role of adiposity. J Natl Cancer Inst 110(9):935–941CrossRef
31.
go back to reference Tabung FK, Smith-Warner SA, Chavarro JE et al (2016) Development and validation of an empirical dietary inflammatory index. J Nutr 146(8):1560–1570CrossRef Tabung FK, Smith-Warner SA, Chavarro JE et al (2016) Development and validation of an empirical dietary inflammatory index. J Nutr 146(8):1560–1570CrossRef
32.
go back to reference Tabung FK, Wang W, Fung TT et al (2016) Development and validation of empirical indices to assess the insulinaemic potential of diet and lifestyle. Br J Nutr 8:1–12 Tabung FK, Wang W, Fung TT et al (2016) Development and validation of empirical indices to assess the insulinaemic potential of diet and lifestyle. Br J Nutr 8:1–12
33.
go back to reference Tabung FK, Liu L, Wang W et al (2018) Association of dietary inflammatory potential with colorectal cancer risk in men and women. JAMA Oncol 4(3):366–373CrossRef Tabung FK, Liu L, Wang W et al (2018) Association of dietary inflammatory potential with colorectal cancer risk in men and women. JAMA Oncol 4(3):366–373CrossRef
34.
go back to reference Tabung FK, Wang W, Fung TT et al (2018) Association of dietary insulinemic potential and colorectal cancer risk in men and women. Am J Clin Nutr 108(2):363–370CrossRef Tabung FK, Wang W, Fung TT et al (2018) Association of dietary insulinemic potential and colorectal cancer risk in men and women. Am J Clin Nutr 108(2):363–370CrossRef
35.
go back to reference Giovannucci E (2018) A framework to understand diet, physical activity, body weight, and cancer risk. Cancer Causes Control 29(1):1–6CrossRef Giovannucci E (2018) A framework to understand diet, physical activity, body weight, and cancer risk. Cancer Causes Control 29(1):1–6CrossRef
36.
go back to reference Estruch R, Ros E, Salas-Salvado J et al (2018) Primary prevention of cardiovascular disease with a mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med 378(25):e34CrossRef Estruch R, Ros E, Salas-Salvado J et al (2018) Primary prevention of cardiovascular disease with a mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med 378(25):e34CrossRef
37.
go back to reference Keum N, Giovannucci E (2014) Vitamin D supplements and cancer incidence and mortality: a meta-analysis. Br J Cancer 111(5):976–980CrossRef Keum N, Giovannucci E (2014) Vitamin D supplements and cancer incidence and mortality: a meta-analysis. Br J Cancer 111(5):976–980CrossRef
38.
go back to reference Vogelstein B, Papadopoulos N, Velculescu VE et al (2013) Cancer genome landscapes. Science 339(6127):1546–1558CrossRef Vogelstein B, Papadopoulos N, Velculescu VE et al (2013) Cancer genome landscapes. Science 339(6127):1546–1558CrossRef
39.
go back to reference Burt LM, Ying J, Poppe MM et al (2017) Risk of secondary malignancies after radiation therapy for breast cancer: comprehensive results. Breast 35:122–129CrossRef Burt LM, Ying J, Poppe MM et al (2017) Risk of secondary malignancies after radiation therapy for breast cancer: comprehensive results. Breast 35:122–129CrossRef
40.
go back to reference Bauer J, Buttner P, Murali R et al (2011) BRAF mutations in cutaneous melanoma are independently associated with age, anatomic site of the primary tumor, and the degree of solar elastosis at the primary tumor site. Pigment Cell Melanoma Res 24(2):345–351CrossRef Bauer J, Buttner P, Murali R et al (2011) BRAF mutations in cutaneous melanoma are independently associated with age, anatomic site of the primary tumor, and the degree of solar elastosis at the primary tumor site. Pigment Cell Melanoma Res 24(2):345–351CrossRef
41.
go back to reference Smith AH, Marshall G, Roh T et al (2018) Lung, bladder, and kidney cancer mortality 40 years after arsenic exposure reduction. J Natl Cancer Inst 110(3):241–249CrossRef Smith AH, Marshall G, Roh T et al (2018) Lung, bladder, and kidney cancer mortality 40 years after arsenic exposure reduction. J Natl Cancer Inst 110(3):241–249CrossRef
42.
go back to reference Vedham V, Verma M, Mahabir S (2015) Early-life exposures to infectious agents and later cancer development. Cancer Med 4(12):1908–1922CrossRef Vedham V, Verma M, Mahabir S (2015) Early-life exposures to infectious agents and later cancer development. Cancer Med 4(12):1908–1922CrossRef
43.
go back to reference Giovannucci E (2018) Aspirin and delayed chemoprevention of colorectal cancer. Clin Chem 64(10):11 Giovannucci E (2018) Aspirin and delayed chemoprevention of colorectal cancer. Clin Chem 64(10):11
44.
go back to reference Flossmann E, Rothwell PM (2007) British Doctors Aspirin Trial and the UK-TIA Aspirin Trial. Effect of aspirin on long-term risk of colorectal cancer: consistent evidence from randomised and observational studies. Lancet 369(9573):1603–1613CrossRef Flossmann E, Rothwell PM (2007) British Doctors Aspirin Trial and the UK-TIA Aspirin Trial. Effect of aspirin on long-term risk of colorectal cancer: consistent evidence from randomised and observational studies. Lancet 369(9573):1603–1613CrossRef
45.
go back to reference Cook NR, Lee IM, Zhang SM et al (2013) Alternate-day, low-dose aspirin and cancer risk: long-term observational follow-up of a randomized trial. Ann Intern Med 159(2):77–85CrossRef Cook NR, Lee IM, Zhang SM et al (2013) Alternate-day, low-dose aspirin and cancer risk: long-term observational follow-up of a randomized trial. Ann Intern Med 159(2):77–85CrossRef
46.
go back to reference Van Hemelrijck MJ, Michaud DS, Connolly GN et al (2009) Tobacco use and bladder cancer patterns in three western European countries. J Public Health 31(3):335–344CrossRef Van Hemelrijck MJ, Michaud DS, Connolly GN et al (2009) Tobacco use and bladder cancer patterns in three western European countries. J Public Health 31(3):335–344CrossRef
47.
go back to reference Lee JE, Willett WC, Fuchs CS et al (2011) Folate intake and risk of colorectal cancer and adenoma: modification by time. Am J Clin Nutr 93(4):817–825CrossRef Lee JE, Willett WC, Fuchs CS et al (2011) Folate intake and risk of colorectal cancer and adenoma: modification by time. Am J Clin Nutr 93(4):817–825CrossRef
48.
go back to reference Smith-Warner SA, Spiegelman D, Ritz J et al (2006) Methods for pooling results of epidemiologic studies: the Pooling Project of Prospective Studies of Diet and Cancer. Am J Epidemiol 163(11):1053–1064CrossRef Smith-Warner SA, Spiegelman D, Ritz J et al (2006) Methods for pooling results of epidemiologic studies: the Pooling Project of Prospective Studies of Diet and Cancer. Am J Epidemiol 163(11):1053–1064CrossRef
49.
go back to reference Jung S, Spiegelman D, Baglietto L et al (2013) Fruit and vegetable intake and risk of breast cancer by hormone receptor status. J Natl Cancer Inst 105(3):219–236CrossRef Jung S, Spiegelman D, Baglietto L et al (2013) Fruit and vegetable intake and risk of breast cancer by hormone receptor status. J Natl Cancer Inst 105(3):219–236CrossRef
50.
go back to reference Eliassen AH, Hendrickson SJ, Brinton LA et al (2012) Circulating carotenoids and risk of breast cancer: pooled analysis of eight prospective studies. J Natl Cancer Inst 104(24):1905–1916CrossRef Eliassen AH, Hendrickson SJ, Brinton LA et al (2012) Circulating carotenoids and risk of breast cancer: pooled analysis of eight prospective studies. J Natl Cancer Inst 104(24):1905–1916CrossRef
51.
go back to reference Park Y, Spiegelman D, Hunter DJ et al (2010) Intakes of vitamins A, C, and E and use of multiple vitamin supplements and risk of colon cancer: a pooled analysis of prospective cohort studies. Cancer Causes Control 21(11):1745–1757CrossRef Park Y, Spiegelman D, Hunter DJ et al (2010) Intakes of vitamins A, C, and E and use of multiple vitamin supplements and risk of colon cancer: a pooled analysis of prospective cohort studies. Cancer Causes Control 21(11):1745–1757CrossRef
52.
go back to reference Kim DH, Smith-Warner SA, Spiegelman D et al (2010) Pooled analyses of 13 prospective cohort studies on folate intake and colon cancer. Cancer Causes Control 21(11):1919–1930CrossRef Kim DH, Smith-Warner SA, Spiegelman D et al (2010) Pooled analyses of 13 prospective cohort studies on folate intake and colon cancer. Cancer Causes Control 21(11):1919–1930CrossRef
53.
go back to reference Koushik A, Hunter DJ, Spiegelman D et al (2007) Fruits, vegetables, and colon cancer risk in a pooled analysis of 14 cohort studies. J Natl Cancer Inst 99(19):1471–1483CrossRef Koushik A, Hunter DJ, Spiegelman D et al (2007) Fruits, vegetables, and colon cancer risk in a pooled analysis of 14 cohort studies. J Natl Cancer Inst 99(19):1471–1483CrossRef
54.
go back to reference Cho E, Smith-Warner SA, Spiegelman D et al (2004) Dairy foods, calcium, and colorectal cancer: a pooled analysis of 10 cohort studies. J Natl Cancer Inst 96(13):1015–1022CrossRef Cho E, Smith-Warner SA, Spiegelman D et al (2004) Dairy foods, calcium, and colorectal cancer: a pooled analysis of 10 cohort studies. J Natl Cancer Inst 96(13):1015–1022CrossRef
55.
go back to reference Cho E, Smith-Warner SA, Ritz J et al (2004) Alcohol intake and colorectal cancer: a pooled analysis of 8 cohort studies. Ann Intern Med 140(8):603–613CrossRef Cho E, Smith-Warner SA, Ritz J et al (2004) Alcohol intake and colorectal cancer: a pooled analysis of 8 cohort studies. Ann Intern Med 140(8):603–613CrossRef
57.
go back to reference Prasad V, Jorgenson J, Ioannidis JP et al (2013) Observational studies often make clinical practice recommendations: an empirical evaluation of authors’ attitudes. J Clin Epidemiol 66(4):361–366CrossRef Prasad V, Jorgenson J, Ioannidis JP et al (2013) Observational studies often make clinical practice recommendations: an empirical evaluation of authors’ attitudes. J Clin Epidemiol 66(4):361–366CrossRef
59.
go back to reference Ioannidis JP (2005) Why most published research findings are false. PLoS Med 2(8):e124CrossRef Ioannidis JP (2005) Why most published research findings are false. PLoS Med 2(8):e124CrossRef
60.
go back to reference Appel LJ, Moore TJ, Obarzanek E et al (1997) A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med 336(16):1117–1124CrossRef Appel LJ, Moore TJ, Obarzanek E et al (1997) A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med 336(16):1117–1124CrossRef
61.
go back to reference Li Y, Pan A, Wang DD et al (2018) Impact of healthy lifestyle factors on life expectancies in the US population. Circulation 138(4):345–355CrossRef Li Y, Pan A, Wang DD et al (2018) Impact of healthy lifestyle factors on life expectancies in the US population. Circulation 138(4):345–355CrossRef
62.
go back to reference Brown SB, Hankinson SE (2015) Endogenous estrogens and the risk of breast, endometrial, and ovarian cancers. Steroids 99(Pt A):8–10CrossRef Brown SB, Hankinson SE (2015) Endogenous estrogens and the risk of breast, endometrial, and ovarian cancers. Steroids 99(Pt A):8–10CrossRef
63.
go back to reference Klement RJ, Fink MK (2016) Dietary and pharmacological modification of the insulin/IGF-1 system: exploiting the full repertoire against cancer. Oncogenesis 5:e193CrossRef Klement RJ, Fink MK (2016) Dietary and pharmacological modification of the insulin/IGF-1 system: exploiting the full repertoire against cancer. Oncogenesis 5:e193CrossRef
64.
go back to reference Hernandez AV, Pasupuleti V, Benites-Zapata VA et al (2015) Insulin resistance and endometrial cancer risk: a systematic review and meta-analysis. Eur J Cancer 51(18):2747–2758CrossRef Hernandez AV, Pasupuleti V, Benites-Zapata VA et al (2015) Insulin resistance and endometrial cancer risk: a systematic review and meta-analysis. Eur J Cancer 51(18):2747–2758CrossRef
65.
go back to reference Chen L, Li L, Wang Y et al (2013) Circulating C-peptide level is a predictive factor for colorectal neoplasia: evidence from the meta-analysis of prospective studies. Cancer Causes Control 24(10):1837–1847CrossRef Chen L, Li L, Wang Y et al (2013) Circulating C-peptide level is a predictive factor for colorectal neoplasia: evidence from the meta-analysis of prospective studies. Cancer Causes Control 24(10):1837–1847CrossRef
66.
go back to reference Travis RC, Appleby PN, Martin RM et al (2016) A meta-analysis of individual participant data reveals an association between circulating levels of IGF-1 and prostate cancer risk. Cancer Res 76(8):2288–2300CrossRef Travis RC, Appleby PN, Martin RM et al (2016) A meta-analysis of individual participant data reveals an association between circulating levels of IGF-1 and prostate cancer risk. Cancer Res 76(8):2288–2300CrossRef
67.
go back to reference Chi F, Wu R, Zeng YC et al (2013) Circulation insulin-like growth factor peptides and colorectal cancer risk: an updated systematic review and meta-analysis. Mol Biol Rep 40(5):3583–3590CrossRef Chi F, Wu R, Zeng YC et al (2013) Circulation insulin-like growth factor peptides and colorectal cancer risk: an updated systematic review and meta-analysis. Mol Biol Rep 40(5):3583–3590CrossRef
68.
go back to reference Wolpin BM, Bao Y, Qian ZR et al (2013) Hyperglycemia, insulin resistance, impaired pancreatic β-cell function, and risk of pancreatic cancer. J Natl Cancer Inst 105(14):1027–1035CrossRef Wolpin BM, Bao Y, Qian ZR et al (2013) Hyperglycemia, insulin resistance, impaired pancreatic β-cell function, and risk of pancreatic cancer. J Natl Cancer Inst 105(14):1027–1035CrossRef
Metadata
Title
Nutritional epidemiology and cancer: A Tale of Two Cities
Author
Edward Giovannucci
Publication date
01-11-2018
Publisher
Springer International Publishing
Published in
Cancer Causes & Control / Issue 11/2018
Print ISSN: 0957-5243
Electronic ISSN: 1573-7225
DOI
https://doi.org/10.1007/s10552-018-1088-y

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