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Obesity as a cause of cancer:
Epidemiologic and biologic mechanisms
Tim Byers MD MPH
University of Colorado Cancer Center
Colorado School of Public Health
Tim.Byers@ucdenver.edu
Cause ?
Causes of car crashes
• Vehicle factors
– Manufacture, maintenance
• Road factors
– Design, maintenance
• Driver factors
– Biologic, behavioral
• Weather
• Bad luck
Correlates of obesity
• Behavioral
– Diet
– Physical activity
– Medical care
• Physiologic
– Hormonal
– Other growth factors
– Inflammation
– Micronutrients
– Microbiome
– Epigenome
BMI
Cancer
BMI
Cancer
Intermediaries
Micronutrients
Hormones
Other growth factors
Inflammation
Immune function
BMI
Cancer
Activity
Diet
Intermediaries
Micronutrients
Hormones
Other growth factors
Inflammation
Immune function
Obesity may be the most
important of all the nutritional
risk factors for cancer
• Many sites
• Men and women
• Preventable
• Modifiable
WCRF conclusions for Obesity
Convincing
• Postmenopausal Breast
• Endometrial
• Colorectal
• Esophagus
• Pancreas
• Kidney
Probable
• Premenopausal breast (reduced risk)
• Gallbladder
• Ovarian
BMI and cancer
Cancer BMI
Increment
RR of increased body fatness (95% CI) WCRF
Report date
Ovarian 5kg/m2
1.06 (1.02-1.11) 2013
Endometrial 5kg/m2
1.50 (1.42-1.59) 2012
Pancreatic 5kg/m2
1.10 (1.07-1.14) 2012
Colorectal 1kg/m2
1.02 (1.02-1.03) 2011
Postmenopausal breast 2kg/m2
1.05 (1.03-1.07) 2010
Premenopausal breast 2kg/m2
0.97 (0.95-0.99) 2010
Kidney 5kg/m2 1.31 (1.24-1.39) 2007
Gallbladder 5kg/m2
1.23 (1.15-1.32) 2007
Oesophageal no analysis 2007
WCRF estimates of preventable fraction of specific cancer
sites from body fatness
Source: www.wcrf.org/cancer_statistics/preventability_estimates/preventability_estimates_body_fatness
Breast Cancer
BMI and Breast Cancer
Premenopausal Post-menopausal
Postmenopausal breast cancer
risk and circulating estradiol
Quartile 1 Quartile 2 Quartile 3 Quartile 4
RR
Hankinson et al. JNCI 1998;90:1292-9 BMI
Circulating Sex Hormone Binding
Globulin and postmenopausal BMI
BMI
Mechanisms linking obesity
and breast cancer
• Estrogens
• SHBG
• Cytokines
• Insulin
• IGF / IGFBP3
• Innocent bystander ?
– Probably not
Obesity and risk of breast
cancer recurrence
• Recurrence risk increased among obese
(BMI > 30) vs normal weight (BMI<25)
• Obesity risk seen in various subgroups
– Postmenopausal
– Premenopausal
– ER positive
– ER negative
– Even with Tamoxifen
Obese
Not obese
Months
Recurrence-freesurvival
Obesity and mortality after
breast cancer diagnosis
• Protani et al. BC Res Treat 123:627-35 (2010)
• Metanalysis of 43 studies
• HR = 1.33 (1.21 to 1.47)
• Pre-men HR = 1.47; Post-men HR = 1.22
Endometrial Cancer and BMI
(CUP 2013)
RR=1.50 ( 1.42-1.59) per 5 kg/m2
I2
= 86% n=25
Mechanisms:
Estrogens
Estrogens
Estrogens
Estrogens
Cytokines
Ovarian Cancer and BMI
(CUP 2014)
RR=1.06 ( 1.02-1.11) per 5 kg/m2
I2
=55% n=25
Mechanisms:
Cytokines?
Colorectal Cancer
Colorectal cancer and nutrition
• Many nutritional factors associated with risk
– Obesity
– Physical inactivity
– F&V intake
– Red meats
– Alcohol
– Calcium
– Fiber
Colorectal Cancer and BMI
(CUP 2011)
RR=1.02 (1.02-1. 03) per 1 kg/m2
I2
=60% n=23
Mechanisms:
Cytokines ?
Insulin ?
IGF ?
Innocent
bystander ?
(maybe so)
CRC recurrence and BMI
• Meyerhardt et al. J Clin Oncol 26:4109-15 (2008)
• CALGB CRC adjuvant trials
• Neither BMI nor weight change were related to
recurrence or survival
Obesity and esophageal cancer
Very different histology and risk factor profiles
for cancers of the upper vs lower esophagus
Upper 2/3 of esophagus (squamous cell)
Tobacco
Alcohol
Lower 1/3 of esophagus (adenocarcinoma)
BMI
Mechanisms linking
obesity and
esophageal cancer
• GERD
• Cytokines ?
Pancreatic Cancer and BMI
(CUP 2012)
R =1.10 ( 1.07- 1.14) per 5 kg/m2
I2
=19% n=23
Mechanisms:
Cytokines
Insulin
Liver Cancer and
Excess Body Weight (EBW) and Obesity
Chen et al European J of Cancer 2012
Mechanisms:
Fatty liver
Cytokines
Prostate cancer and obesity
• Not a strong factor overall
• May be associated with
more aggressive disease
• Mechanisms not understood
Obesity related diseases
• Heart disease
• Stroke
• Diabetes
• Cancer
• Sleep apnea
• Arthritis
• Reproductive complications
• Gall bladder disease
• Others
DM,
CVD
Cancer
Behavioral factors
Diet
Physical activity
Adiposity
DM,
CVD
Cancer
Metabolic factors
Insulin, IGF
Cytokines
Hormones
How can we determine
causal pathways?
• Measure effect modification
– Works only for strong associations
• Conduct interventions
– Modulate weight and measure effects on cancer
– Modulate weight and measure effects on mediators
– Modulate mediators and measure effects on cancer
How can we determine
causal pathways?
• Measure effect modification
– Works only for strong associations
• Conduct interventions
– Modulate weight and measure effects on cancer
– Modulate weight and measure effects on mediators
– Modulate mediators and measure effects on cancer
• Draw pictures
– Combining imagination, hope, and PowerPoint is
intellectually hazardous
Does intentional weight loss
reduce breast cancer risk ?
How can we know that weight
loss will reverse cancer risk?
• Observational epidemiology
• Randomized controlled trials
– (large trials with cancer endpoints)
• Understanding of intermediary factors
– (proof of their modulation in small trials)
Breast cancer risk with weight
change after menopause
Eliassen et al. JAMA 296:193-201 (2006)
Weight change and
endometrial cancer risk
• Trentham-Dietz et al. Int J Epid 35:151-8 (2006)
• Case-control study (740:2342)
• OR = 0.7 for weight loss
Cancer risk
after bariatric surgery
• Sjostrom et al. Lancet Oncol 10:653-62 (2009)
• 14% to 27% wt losses followed for 15 years
• Women: HR = 0.58
• Men: HR = 0.97
Breast cancer risk reduction
compared to weight loss in 3 RCTs
Wt loss BC reduction
WHEL 0 pounds 0%
WHI 2 pounds 9%
WINS 6 pounds 20%
ENERGY Trial
• Collaboration between 4 US cancer centers
– Colorado (Tim Byers)
– Alabama (Wendy Demark)
– Saint Louis (Graham Colditz)
– San Diego (Cheryl Rock)
• 700 women 0.5 to 5 years after stage 1-2 BC treatment
• Randomized to group weight loss program vs control aimed
at 7% weight loss differential
• Vanguard for a 2400 patient trial with recurrence endpoint
RCT’s of intentional weight loss and
changes in cancer-relevant mediators
• Estradiol is reduced
• SHBG is increased
• Several cytokines are reduced
– CRP, IL6, TGF-alpha, leptin, others
CRP reduction with weight loss
0
10
20
30
40
50
60
70
80
90
100
0 5 10 15 20 25 30 35 40
%CRPreduction
% body weight loss
Why do we need to understand
obesity-cancer intermediaries?
• Complete our understanding of cancer biology
• Create surrogates for cancer in trials
• Identify targets for prevention
Recommendations for research
• Find better ways to reduce obesity
• Invest in large-scale weight loss trials with
cancer endpoints
• Better understand the several mechanisms and
test their change in focused weight loss trials
• Thereby find ways to pharmacologically unlink
obesity and cancer
Obesity as a cause of cancer:
Epidemiologic and biologic mechanisms
Tim Byers MD MPH
University of Colorado Cancer Center
Colorado School of Public Health
Tim.Byers@ucdenver.edu

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Tim Byers Presentations International Congress on Obesity

  • 1. Obesity as a cause of cancer: Epidemiologic and biologic mechanisms Tim Byers MD MPH University of Colorado Cancer Center Colorado School of Public Health Tim.Byers@ucdenver.edu
  • 3. Causes of car crashes • Vehicle factors – Manufacture, maintenance • Road factors – Design, maintenance • Driver factors – Biologic, behavioral • Weather • Bad luck
  • 4. Correlates of obesity • Behavioral – Diet – Physical activity – Medical care • Physiologic – Hormonal – Other growth factors – Inflammation – Micronutrients – Microbiome – Epigenome
  • 8.
  • 9. Obesity may be the most important of all the nutritional risk factors for cancer • Many sites • Men and women • Preventable • Modifiable
  • 10. WCRF conclusions for Obesity Convincing • Postmenopausal Breast • Endometrial • Colorectal • Esophagus • Pancreas • Kidney Probable • Premenopausal breast (reduced risk) • Gallbladder • Ovarian
  • 11. BMI and cancer Cancer BMI Increment RR of increased body fatness (95% CI) WCRF Report date Ovarian 5kg/m2 1.06 (1.02-1.11) 2013 Endometrial 5kg/m2 1.50 (1.42-1.59) 2012 Pancreatic 5kg/m2 1.10 (1.07-1.14) 2012 Colorectal 1kg/m2 1.02 (1.02-1.03) 2011 Postmenopausal breast 2kg/m2 1.05 (1.03-1.07) 2010 Premenopausal breast 2kg/m2 0.97 (0.95-0.99) 2010 Kidney 5kg/m2 1.31 (1.24-1.39) 2007 Gallbladder 5kg/m2 1.23 (1.15-1.32) 2007 Oesophageal no analysis 2007
  • 12. WCRF estimates of preventable fraction of specific cancer sites from body fatness Source: www.wcrf.org/cancer_statistics/preventability_estimates/preventability_estimates_body_fatness
  • 14. BMI and Breast Cancer Premenopausal Post-menopausal
  • 15. Postmenopausal breast cancer risk and circulating estradiol Quartile 1 Quartile 2 Quartile 3 Quartile 4 RR Hankinson et al. JNCI 1998;90:1292-9 BMI
  • 16. Circulating Sex Hormone Binding Globulin and postmenopausal BMI BMI
  • 17. Mechanisms linking obesity and breast cancer • Estrogens • SHBG • Cytokines • Insulin • IGF / IGFBP3 • Innocent bystander ? – Probably not
  • 18. Obesity and risk of breast cancer recurrence • Recurrence risk increased among obese (BMI > 30) vs normal weight (BMI<25) • Obesity risk seen in various subgroups – Postmenopausal – Premenopausal – ER positive – ER negative – Even with Tamoxifen Obese Not obese Months Recurrence-freesurvival
  • 19. Obesity and mortality after breast cancer diagnosis • Protani et al. BC Res Treat 123:627-35 (2010) • Metanalysis of 43 studies • HR = 1.33 (1.21 to 1.47) • Pre-men HR = 1.47; Post-men HR = 1.22
  • 20. Endometrial Cancer and BMI (CUP 2013) RR=1.50 ( 1.42-1.59) per 5 kg/m2 I2 = 86% n=25 Mechanisms: Estrogens Estrogens Estrogens Estrogens Cytokines
  • 21. Ovarian Cancer and BMI (CUP 2014) RR=1.06 ( 1.02-1.11) per 5 kg/m2 I2 =55% n=25 Mechanisms: Cytokines?
  • 23. Colorectal cancer and nutrition • Many nutritional factors associated with risk – Obesity – Physical inactivity – F&V intake – Red meats – Alcohol – Calcium – Fiber
  • 24. Colorectal Cancer and BMI (CUP 2011) RR=1.02 (1.02-1. 03) per 1 kg/m2 I2 =60% n=23 Mechanisms: Cytokines ? Insulin ? IGF ? Innocent bystander ? (maybe so)
  • 25. CRC recurrence and BMI • Meyerhardt et al. J Clin Oncol 26:4109-15 (2008) • CALGB CRC adjuvant trials • Neither BMI nor weight change were related to recurrence or survival
  • 26. Obesity and esophageal cancer Very different histology and risk factor profiles for cancers of the upper vs lower esophagus Upper 2/3 of esophagus (squamous cell) Tobacco Alcohol Lower 1/3 of esophagus (adenocarcinoma) BMI
  • 27. Mechanisms linking obesity and esophageal cancer • GERD • Cytokines ?
  • 28. Pancreatic Cancer and BMI (CUP 2012) R =1.10 ( 1.07- 1.14) per 5 kg/m2 I2 =19% n=23 Mechanisms: Cytokines Insulin
  • 29. Liver Cancer and Excess Body Weight (EBW) and Obesity Chen et al European J of Cancer 2012 Mechanisms: Fatty liver Cytokines
  • 30. Prostate cancer and obesity • Not a strong factor overall • May be associated with more aggressive disease • Mechanisms not understood
  • 31. Obesity related diseases • Heart disease • Stroke • Diabetes • Cancer • Sleep apnea • Arthritis • Reproductive complications • Gall bladder disease • Others
  • 34. How can we determine causal pathways? • Measure effect modification – Works only for strong associations • Conduct interventions – Modulate weight and measure effects on cancer – Modulate weight and measure effects on mediators – Modulate mediators and measure effects on cancer
  • 35. How can we determine causal pathways? • Measure effect modification – Works only for strong associations • Conduct interventions – Modulate weight and measure effects on cancer – Modulate weight and measure effects on mediators – Modulate mediators and measure effects on cancer • Draw pictures – Combining imagination, hope, and PowerPoint is intellectually hazardous
  • 36. Does intentional weight loss reduce breast cancer risk ?
  • 37. How can we know that weight loss will reverse cancer risk? • Observational epidemiology • Randomized controlled trials – (large trials with cancer endpoints) • Understanding of intermediary factors – (proof of their modulation in small trials)
  • 38. Breast cancer risk with weight change after menopause Eliassen et al. JAMA 296:193-201 (2006)
  • 39. Weight change and endometrial cancer risk • Trentham-Dietz et al. Int J Epid 35:151-8 (2006) • Case-control study (740:2342) • OR = 0.7 for weight loss
  • 40. Cancer risk after bariatric surgery • Sjostrom et al. Lancet Oncol 10:653-62 (2009) • 14% to 27% wt losses followed for 15 years • Women: HR = 0.58 • Men: HR = 0.97
  • 41. Breast cancer risk reduction compared to weight loss in 3 RCTs Wt loss BC reduction WHEL 0 pounds 0% WHI 2 pounds 9% WINS 6 pounds 20%
  • 42. ENERGY Trial • Collaboration between 4 US cancer centers – Colorado (Tim Byers) – Alabama (Wendy Demark) – Saint Louis (Graham Colditz) – San Diego (Cheryl Rock) • 700 women 0.5 to 5 years after stage 1-2 BC treatment • Randomized to group weight loss program vs control aimed at 7% weight loss differential • Vanguard for a 2400 patient trial with recurrence endpoint
  • 43. RCT’s of intentional weight loss and changes in cancer-relevant mediators • Estradiol is reduced • SHBG is increased • Several cytokines are reduced – CRP, IL6, TGF-alpha, leptin, others
  • 44. CRP reduction with weight loss 0 10 20 30 40 50 60 70 80 90 100 0 5 10 15 20 25 30 35 40 %CRPreduction % body weight loss
  • 45. Why do we need to understand obesity-cancer intermediaries? • Complete our understanding of cancer biology • Create surrogates for cancer in trials • Identify targets for prevention
  • 46. Recommendations for research • Find better ways to reduce obesity • Invest in large-scale weight loss trials with cancer endpoints • Better understand the several mechanisms and test their change in focused weight loss trials • Thereby find ways to pharmacologically unlink obesity and cancer
  • 47. Obesity as a cause of cancer: Epidemiologic and biologic mechanisms Tim Byers MD MPH University of Colorado Cancer Center Colorado School of Public Health Tim.Byers@ucdenver.edu

Editor's Notes

  1. Dose-response meta-analysis of BMI and endometrial cancer, per 5 units
  2. Dose-response meta-analysis of BMI and ovarian cancer, per 5 units
  3. Dose-response meta-analysis of BMI and colorectal cancer, stratified by geographic area – per 1 kg/m2. 1 = USA 2 = Asia 3 = Europe
  4. Dose-response meta-analysis of BMI and pancreatic cancer incidence - per 5 units
  5. Dose-response meta-analysis of BMI and pancreatic cancer incidence - per 5 units