|
|||||
|
|
||||||
Originally published as JCO Early Release 10.1200/JCO.2008.17.9945 on December 8 2008 © 2009 American Society of Clinical Oncology. Insulin, the Insulin-Like Growth Factor Axis, and Mortality in Patients With Nonmetastatic Colorectal Cancer
From the Department of Medical Oncology, Dana-Farber Cancer Institute; Channing Laboratory, Department of Medicine, Brigham and Women's Hospital; Harvard Medical School; Gastrointestinal Unit, Massachusetts General Hospital; Departments of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA; and the Department of Medicine and Oncology, Jewish General Hospital and McGill University, Montreal, Quebec, Canada Corresponding author: Brian Wolpin, MD, Dana-Farber Cancer Institute, 44 Binney St, Boston, MA 02115; e-mail: bwolpin{at}partners.org
Purpose Obesity, sedentary lifestyle, and Western dietary pattern have been linked to increased risk of cancer recurrence and mortality among patients with surgically resected colorectal cancer. Excess energy balance leads to increased circulating insulin and depressed levels of circulating insulin-like growth factor binding protein (IGFBP) -1, which promote cancer cell growth in preclinical models. Patients and Methods Among 373 patients diagnosed with nonmetastatic colorectal cancer between 1991 and 2004, we performed a prospective observational study nested within two large US cohorts to evaluate the association between mortality and prediagnosis circulating C-peptide (a marker of insulin secretion), IGFBP-1, insulin-like growth factor-I (IGF-I), and IGFBP-3. Results Compared with patients in the bottom quartile, patients in the top quartile of plasma C-peptide had an age-adjusted hazard ratio (HR) for death of 1.87 (95% CI, 1.04 to 3.36; P = .03 for trend), whereas those in the top quartile of circulating IGFBP-1 had a significant reduction in mortality (HR = 0.48; 95% CI, 0.28 to 0.84; P = .02 for trend). Little change in these estimates was noted after adjusting for other covariates known or suspected to influence survival. No associations were noted between mortality and IGF-I or IGFBP-3, which are two components of the IGF axis not closely correlated with lifestyle factors. Conclusion Among patients with surgically resected colorectal cancer, higher levels of prediagnosis plasma C-peptide and lower levels of prediagnosis plasma IGFBP-1 were associated with increased mortality. Circulating insulin and IGFBP-1 are potential mediators of the association between lifestyle factors and mortality after colorectal cancer resection.
Numerous epidemiologic studies have demonstrated an association between lifestyle factors, such as adiposity,1-7 physical activity,2,3,8-12 and diet,13-19 and the risk of incident colorectal cancer. More recently, studies have demonstrated that these factors are associated with the risk of cancer recurrence and mortality after primary surgical resection of colorectal cancer.20-25 High body mass index (BMI) and total body adiposity, sedentary lifestyle, and consumption of a Western pattern diet lead to elevated levels of circulating insulin and low levels of circulating insulin-like growth factor binding protein (IGFBP) -1.26-29 In contrast, these factors have little effect on plasma levels of other components of the insulin-like growth factor (IGF) axis, such as IGF-I and IGFBP-3.30 In experimental models, insulin promotes the growth and survival of colorectal cancer cells,31,32 whereas IGFBP-1 inhibits cancer cell growth and migration, both directly and through local modulation of other components of the IGF axis.33-35 Prospective observational studies have demonstrated that higher baseline C-peptide (a more stable marker of insulin exposure) and lower IGFBP-1 are associated with a significant increase in colorectal cancer risk, supporting their possible role as mediators of the association between lifestyle factors and colorectal cancer.36-40 In patients with early-stage breast cancer, elevated circulating levels of insulin and C-peptide and the presence of metabolic syndrome have been linked to an increased risk for tumor recurrence and mortality.41-43 However, the effect of circulating C-peptide and IGFBP-1 on survival after surgical resection of colorectal cancer is unknown. Therefore, we prospectively assessed the influence of prediagnosis plasma levels of C-peptide, IGFBP-1, IGF-I, and IGFBP-3 on mortality in patients with nonmetastatic colorectal cancer enrolled onto two large prospective cohort studies.
Study Population The Nurses Health Study (NHS) began in 1976, when 121,700 female nurses between 30 and 55 years of age completed a baseline questionnaire about their lifestyles and medical histories. Subsequently, these women have completed a self-administered, mailed questionnaire biennially to update information on their lifestyle, medical history, and diet. A total of 32,826 women between 43 and 69 years of age returned a mailed blood collection kit by overnight courier in 1989 and 1990. The Health Professionals Follow-Up Study (HPFS) was initiated in 1986 when 51,529 US men age 40 to 75 years responded to a mailed questionnaire. Subsequently, these men have completed a self-administered, mailed questionnaire biennially to update information on their lifestyle, medical history, and diet. Blood was collected from 18,225 men and returned in a mailed blood collection kit by overnight courier in 1993 through 1995. In both cohorts, blood samples were centrifuged on arrival and separated into plasma, WBCs, and RBCs. Approximately 95% of samples were received within 24 hours of blood collection. The current study was approved by the Human Research Committee at the Brigham and Women's Hospital (Boston, MA), and all participants provided consent.
Identification of Study Patients
Measurement of Mortality
Laboratory Analyses
Covariates
Statistical Analyses Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% CIs for overall and colorectal cancer–specific mortality, according to quartile of plasma marker. Follow-up time was calculated from the date of colorectal cancer diagnosis to the date of death or June 2005 in the NHS and to the date of death or January 2005 in the HPFS. In the analyses of colorectal cancer–specific mortality, patients who died as a result of causes other than colorectal cancer were censored at the time of death. Two-tailed P values for linear trend tests across categories were calculated by modeling the log of each plasma marker as a continuous variable. The proportionality of hazards assumption was satisfied by evaluating time-dependent variables, which were the cross-product of plasma marker categories with time. To provide increased power for subgroup analyses, plasma markers were categorized into tertiles. Tests of interaction were assessed by entering into the model the cross-product of the plasma marker tertile and the dichotomized covariate. We also investigated relationships between plasma markers by dividing each marker at the median and making four-category variables for each pair of markers. All statistical analyses were performed using the SAS 9.1 statistical package (SAS Institute, Cary, NC), and all P values are two sided.
Baseline Characteristics Among the 373 eligible participants with colorectal cancer, there were 108 deaths, of which 69 were colorectal cancer–specific deaths. Plasma collection was performed at a median of 6.6 years (standard deviation, 3.6 years) before colorectal cancer diagnosis. The median follow-up time from the date of diagnosis was 5.9 years (standard deviation, 3.2 years) for participants who were alive. The majority of deaths from other causes were a result of cardiovascular disease (23%), neurologic disease (21%), or other cancers (15%). Baseline patient characteristics by quartiles of plasma C-peptide and IGFBP-1 are listed in Tables 1 and 2, respectively. Higher plasma levels of C-peptide and lower levels of plasma IGFBP-1 were associated with higher BMI. Patients with higher levels of IGFBP-1 were also more likely to use postmenopausal hormones and multivitamins and more likely to have stage I and III disease.
We further assessed the relationships of plasma markers and selected covariates by calculating Spearman correlation coefficients (Appendix Table A1, online only). C-peptide was positively correlated with prediagnosis BMI (r = 0.35) and postdiagnosis BMI (r = 0.26) and inversely correlated with plasma IGFBP-1 (r = –0.53). Plasma IGFBP-1 was inversely correlated with prediagnosis BMI (r = –0.40) and postdiagnosis BMI (r = –0.32; all P < .001). IGF-I and IGFBP-3 were positively correlated (r = 0.63, P < .001) but were not significantly correlated with either BMI or physical activity.
Plasma Markers and Mortality
Higher IGFBP-1 levels were associated with a reduction in the risk of overall and colorectal cancer–specific mortality, before and after adjusting for other known or suspected predictors of patient outcome. Compared with patients in the bottom quartile, those in the top quartile of IGFBP-1 experienced a multivariable-adjusted HR of 0.44 (95% CI, 0.24 to 0.81; P = .004 for trend) for death and of 0.43 (95% CI, 0.21 to 0.89; P = .006 for trend) for colorectal cancer–specific death. Cumulative incidence curves for all-cause mortality by quartile of C-peptide and IGFBP-1 are shown in Figure 1.
We further examined the associations of C-peptide and IGFBP-1 with overall mortality after including prediagnosis BMI and physical activity in the multivariable models. The HRs for C-peptide and IGFBP-1 were 2.14 (95% CI, 1.01 to 4.50) and 0.49 (95% CI, 0.25 to 0.95), respectively, comparing the top versus the bottom quartiles. Similarly, inclusion of postdiagnosis BMI and physical activity in our multivariable models resulted in HRs for C-peptide and IGFBP-1 of 2.43 (95% CI, 1.18 to 5.01) and 0.41 (95% CI, 0.22 to 0.78), respectively, comparing the top versus the bottom quartiles. To determine whether one plasma marker was of primary importance, we evaluated models that included C-peptide and IGFBP-1 simultaneously. The HRs were attenuated slightly for both plasma markers; HRs comparing the top versus bottom quartiles for C-peptide and IGFBP-1 were 1.89 (95% CI, 0.92 to 3.87) and 0.53 (95% CI, 0.27 to 1.04), respectively. We also assessed the influence of prediagnosis plasma IGF-I and IGFBP-3 on patient survival (Table 4). In contrast to C-peptide and IGFBP-1, neither prediagnosis circulating IGF-I nor IGFBP-3 had an apparent influence on overall or colorectal cancer–specific mortality. Simultaneous inclusion of plasma IGF-I and IGFBP-3 in our model did not alter these results.
Stratified Analyses by Potential Effect Modifiers To examine whether the influence of plasma C-peptide and IGFBP-1 levels on mortality was more pronounced among patients who are overweight or more sedentary, we stratified our analyses by these factors (Table 5). The influence of plasma levels of IGFBP-1 on mortality seemed more pronounced among patients with a prediagnosis BMI greater than the cohort median. The effects of plasma C-peptide and IGFBP-1 on mortality were not significantly modified by age, sex (which also stratifies by cohort), stage of disease, fasting status, tumor location, or plasma level of IGF-I.
Cooperative Effects of Plasma Markers Finally, we examined the joint effects of prediagnosis C-peptide and IGFBP-1 on mortality. Patients with both high IGFBP-1 levels (> the median) and low C-peptide levels (< the median) experienced a multivariable-adjusted HR for mortality of 0.47 (95% CI, 0.26 to 0.84) when compared with patients with low IGFBP-1 and high C-peptide. The two intermediate categories (ie, low IGFBP-1/low C-peptide and high IGFBP-1/high C-peptide) had multivariable-adjusted HRs of 0.89 (95% CI, 0.48 to 1.68) and 0.81 (95% CI, 0.44 to 1.48), respectively, when compared with low IGFBP-1 and high C-peptide.
Among patients with surgically resected colorectal cancer, high prediagnosis plasma levels of C-peptide were associated with an approximate doubling of the risk for death, whereas elevated levels of IGFBP-1 were associated with an approximate 50% reduction in mortality. Although no longer statistically significant after adjustment for one another in a single statistical model, the magnitude of C-peptide and IGFBP-1 effects remained largely unchanged, suggesting that it was mainly the greater df used in such a model that explained the change in P values. We also noted a stronger association of plasma C-peptide with overall mortality, involving a clear monotonic relationship, than with colorectal cancer–specific mortality, which showed no biologic gradient. Although the reason for this cannot be determined from the current data, it is possible that the relationship of C-peptide with other causes of death (eg, cardiovascular disease) contributed to the strength of association or that the variability in results was simply an aberration related to the smaller number of events in the cause-specific analysis. Plasma IGFBP-1 was strongly associated with both overall and colorectal cancer–specific death. In contrast, no associations with overall or colorectal cancer–specific mortality were noted for circulating IGF-I or IGFBP-3, which are two components of the IGF axis that are poorly correlated with energy balance and lifestyle factors, such as weight, physical activity, and dietary pattern. Weight, physical activity, and diet are well-established risk factors for several types of incident cancer, including colorectal cancer.4,47-49 More recently, obesity, sedentary lifestyle, and Western dietary pattern have been associated with an increased risk for cancer recurrence and death among patients who have undergone curative surgical resection for colorectal cancer.20-25 Although the mediators for this increased risk of recurrence and death are poorly defined, hyperinsulinemia and perturbations in the IGF axis have been proposed as underlying biologic mechanisms for these observations.32,50-52 This hypothesis is supported by data from patients with early-stage breast cancer, in whom an increased risk for tumor recurrence and mortality has been associated with elevated levels of plasma insulin and C-peptide or the presence of metabolic syndrome.41-43 In preclinical studies of intestinal epithelial cells and colon cancer cell lines, insulin binds to the insulin receptor on the cell surface and stimulates cell growth, while inhibiting apoptosis,31,53-57 suggesting that it may act directly as a mitogen for colon cancer cells. In the current study, we measured circulating C-peptide and IGFBP-1 as surrogates for plasma insulin because of the known rapid fluctuations in circulating insulin levels over time. Proinsulin is synthesized in pancreatic β-cells and is enzymatically cleaved to create insulin and C-peptide, which are secreted into the portal circulation in equimolar amounts. The half-life of C-peptide in the circulation is between two and five times longer than that of insulin and better reflects mean levels of circulating insulin, particularly when blood samples have not been uniformly collected under fasting conditions.58,59 In addition, circulating C-peptide has successfully predicted the risk of incident colorectal cancer in several prospective studies.36-40 Plasma levels of IGFBP-1 are closely associated with lifestyle factors, such as weight, physical activity, and diet, and are regulated by hormones outside of the growth hormone axis, including insulin, glucagon, and cortisol.60-62 In particular, increases in plasma insulin reduce transcription of IGFBP-1 in the liver, so that plasma levels of IGFBP-1 are thought to robustly reflect end organ stimulation by insulin.60 In addition to reflecting target tissue insulin exposure, IGFBP-1 has independent inhibitory effects on cancer cell growth and migration in preclinical studies, both directly and through local modulation of other components of the IGF axis.30,33-35,63 Consequently, reductions in circulating IGFBP-1 as a result of lifestyle factors and/or hyperinsulinemia may remove the inhibitory action of IGFBP-1 and allow for greater cellular proliferation and spread. The current study has several strengths, including the prospective and longitudinal updating of covariate information, high follow-up rates in both cohorts, strict quality control for measurements of plasma markers, and significant preclinical data linking insulin and the IGF axis to colorectal cancer cell growth. Additionally, plasma markers were measured prospectively, before cancer diagnosis. All patients with plasma collected less than 12 months before diagnosis were excluded to reduce the effects of subclinical cancer on our results and limit the likelihood of bias caused by reverse causation. Our work has several limitations. In the current study, we have only a single prediagnostic measurement of plasma markers. Cancer recurrences are thought to occur as a result of the subsequent growth of micrometastatic disease present at the time of surgical resection. Therefore, an environment promoting tumor growth either before or directly after tumor resection could theoretically lead to poorer outcomes among patients with early-stage colorectal cancer. Because we had only a single prediagnosis measurement of these markers, we were unable to investigate whether the effects of high C-peptide level or low IGFBP-1 level were more influential before or after surgical resection. Additionally, although previous work has demonstrated that these plasma markers are relatively stable over time,36,37,64,65 these studies did not include measurements before and after cancer diagnosis. Further studies are necessary to better define temporal associations between these plasma factors and mortality after surgical resection of colorectal cancer. In the current cohort, data on receipt of postoperative chemotherapy are limited. Yet, among those participants with available information, no significant differences were noted in the percentage of patients receiving chemotherapy by quartile of plasma C-peptide or IGFBP-1, and receipt of chemotherapy was included in our multivariable analyses to control for this variable to the extent that was possible. In addition, approximately 60% of patients had stage I or II disease, for which surgery alone is generally considered the standard of care.66 Finally, we cannot completely exclude the possibility that plasma levels of C-peptide and IGFBP-1 are reflective of other occult predictors of poor prognosis. However, adjustment for other covariates thought to influence mortality did not materially alter our results. In addition, sicker patients at greater risk for death commonly experience weight loss, which would result in lower plasma C-peptide and higher IGFBP-1 levels, biasing our results toward the null. Our findings suggest that prediagnosis plasma levels of C-peptide and IGFBP-1 are associated with mortality in patients with nonmetastatic colorectal cancer. Although this study does not provide definitive evidence for causality, alterations in circulating insulin and related hormones are a plausible mechanism by which excess energy balance may adversely affect survival after curative resection of colorectal cancer.
The author(s) indicated no potential conflicts of interest.
Conception and design: Brian M. Wolpin, Charles S. Fuchs Financial support: Brian M. Wolpin, Edward L. Giovannucci, Charles S. Fuchs Administrative support: Brian M. Wolpin, Charles S. Fuchs Provision of study materials or patients: Brian M. Wolpin, Michael N. Pollak, Edward L. Giovannucci, Charles S. Fuchs Collection and assembly of data: Brian M. Wolpin, Andrew T. Chan, Kana Wu, Charles S. Fuchs Data analysis and interpretation: Brian M. Wolpin, Jeffrey A. Meyerhardt, Charles S. Fuchs Manuscript writing: Brian M. Wolpin, Jeffrey A. Meyerhardt, Andrew T. Chan, Kimmie Ng, Jennifer A. Chan, Kana Wu, Michael N Pollak, Edward L. Giovannucci, Charles S. Fuchs Final approval of manuscript: Brian M. Wolpin, Jeffrey A. Meyerhardt, Andrew T. Chan, Kimmie Ng, Jennifer A. Chan, Kana Wu, Michael N. Pollak, Edward L. Giovannucci, Charles S. Fuchs
published online ahead of print at www.jco.org on December 8, 2008. Supported by Grants No. CA118553, CA87969, CA108341, CA127003-01, and CA09001 from the National Cancer Institute, National Institutes of Health, Bethesda, MD. Authors disclosures of potential conflicts of interest and author contributions are found at the end of this article.
1. Lee IM, Paffenbarger RS Jr: Quetelet's index and risk of colon cancer in college alumni. J Natl Cancer Inst 84:1326-1331, 1992 2. Giovannucci E, Ascherio A, Rimm EB, et al: Physical activity, obesity, and risk for colon cancer and adenoma in men. Ann Intern Med 122:327-334, 1995 3. Martínez ME, Giovannucci E, Spiegelman D, et al: Leisure-time physical activity, body size, and colon cancer in women: Nurses Health Study Research Group. J Natl Cancer Inst 89:948-955, 1997 4. Calle EE, Rodriguez C, Walker-Thurmond K, et al: Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med 348:1625-1638, 2003 5. MacInnis RJ, English DR, Hopper JL, et al: Body size and composition and colon cancer risk in men. Cancer Epidemiol Biomarkers Prev 13:553-559, 2004 6. Pischon T, Lahmann PH, Boeing H, et al: Body size and risk of colon and rectal cancer in the European Prospective Investigation Into Cancer and Nutrition (EPIC). J Natl Cancer Inst 98:920-931, 2006 7. Larsson SC, Wolk A: Obesity and colon and rectal cancer risk: A meta-analysis of prospective studies. Am J Clin Nutr 86:556-565, 2007 8. Wu AH, Paganini-Hill A, Ross RK, et al: Alcohol, physical activity and other risk factors for colorectal cancer: A prospective study. Br J Cancer 55:687-694, 1987[Medline] 9. Gerhardsson M, Floderus B, Norell SE: Physical activity and colon cancer risk. Int J Epidemiol 17:743-746, 1988 10. Lee IM, Paffenbarger RS Jr, Hsieh C: Physical activity and risk of developing colorectal cancer among college alumni. J Natl Cancer Inst 83:1324-1329, 1991 11. Samad AK, Taylor RS, Marshall T, et al: A meta-analysis of the association of physical activity with reduced risk of colorectal cancer. Colorectal Dis 7:204-213, 2005[CrossRef][Medline] 12. Friedenreich C, Norat T, Steindorf K, et al: Physical activity and risk of colon and rectal cancers: The European prospective investigation into cancer and nutrition. Cancer Epidemiol Biomarkers Prev 15:2398-2407, 2006 13. Franceschi S, Dal Maso L, Augustin L, et al: Dietary glycemic load and colorectal cancer risk. Ann Oncol 12:173-178, 2001 14. McCarl M, Harnack L, Limburg PJ, et al: Incidence of colorectal cancer in relation to glycemic index and load in a cohort of women. Cancer Epidemiol Biomarkers Prev 15:892-896, 2006 15. Willett WC, Stampfer MJ, Colditz GA, et al: Relation of meat, fat, and fiber intake to the risk of colon cancer in a prospective study among women. N Engl J Med 323:1664-1672, 1990[Abstract] 16. Chao A, Thun MJ, Connell CJ, et al: Meat consumption and risk of colorectal cancer. JAMA 293:172-182, 2005 17. Fung T, Hu FB, Fuchs C, et al: Major dietary patterns and the risk of colorectal cancer in women. Arch Intern Med 163:309-314, 2003 18. Wu K, Hu FB, Fuchs C, et al: Dietary patterns and risk of colon cancer and adenoma in a cohort of men (United States). Cancer Causes Control 15:853-862, 2004[CrossRef][Medline] 19. Giovannucci E: Modifiable risk factors for colon cancer. Gastroenterol Clin North Am 31:925-943, 2002[Medline] 20. Meyerhardt JA, Catalano PJ, Haller DG, et al: Influence of body mass index on outcomes and treatment-related toxicity in patients with colon carcinoma. Cancer 98:484-495, 2003[CrossRef][Medline] 21. Dignam JJ, Polite BN, Yothers G, et al: Body mass index and outcomes in patients who receive adjuvant chemotherapy for colon cancer. J Natl Cancer Inst 98:1647-1654, 2006 22. Meyerhardt JA, Heseltine D, Niedzwiecki D, et al: Impact of physical activity on cancer recurrence and survival in patients with stage III colon cancer: Findings from CALGB 89803. J Clin Oncol 24:3535-3541, 2006 23. Meyerhardt JA, Giovannucci EL, Holmes MD, et al: Physical activity and survival after colorectal cancer diagnosis. J Clin Oncol 24:3527-3534, 2006 24. Haydon AM, Macinnis RJ, English DR, et al: Effect of physical activity and body size on survival after diagnosis with colorectal cancer. Gut 55:62-67, 2006 25. Meyerhardt JA, Niedzwiecki D, Hollis D, et al: Association of dietary patterns with cancer recurrence and survival in patients with stage III colon cancer. JAMA 298:754-764, 2007 26. Fung TT, Rimm EB, Spiegelman D, et al: Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr 73:61-67, 2001 27. Sandhu MS, Gibson JM, Heald AH, et al: Association between insulin-like growth factor-I: Insulin-like growth factor-binding protein-1 ratio and metabolic and anthropometric factors in men and women. Cancer Epidemiol Biomarkers Prev 13:166-170, 2004 28. Ahmed RL, Thomas W, Schmitz KH: Interactions between insulin, body fat, and insulin-like growth factor axis proteins. Cancer Epidemiol Biomarkers Prev 16:593-597, 2007 29. Schernhammer ES, Tworoger SS, Eliassen AH, et al: Body shape throughout life and correlations with IGFs and GH. Endocr Relat Cancer 14:721-732, 2007 30. Jones JI, Clemmons DR: Insulin-like growth factors and their binding proteins: Biological actions. Endocr Rev 16:3-34, 1995 31. Tran TT, Medline A, Bruce WR: Insulin promotion of colon tumors in rats. Cancer Epidemiol Biomarkers Prev 5:1013-1015, 1996[Abstract] 32. Calle EE, Kaaks R: Overweight, obesity and cancer: Epidemiological evidence and proposed mechanisms. Nat Rev Cancer 4:579-591, 2004[CrossRef][Medline] 33. Pollak MN, Schernhammer ES, Hankinson SE: Insulin-like growth factors and neoplasia. Nat Rev Cancer 4:505-518, 2004[CrossRef][Medline] 34. Mohan S, Baylink DJ: IGF-binding proteins are multifunctional and act via IGF-dependent and -independent mechanisms. J Endocrinol 175:19-31, 2002[Abstract] 35. Durai R, Yang W, Gupta S, et al: The role of the insulin-like growth factor system in colorectal cancer: Review of current knowledge. Int J Colorectal Dis 20:203-220, 2005[CrossRef][Medline] 36. Kaaks R, Toniolo P, Akhmedkhanov A, et al: Serum C-peptide, insulin-like growth factor (IGF)-I, IGF-binding proteins, and colorectal cancer risk in women. J Natl Cancer Inst 92:1592-1600, 2000 37. Ma J, Giovannucci E, Pollak M, et al: A prospective study of plasma C-peptide and colorectal cancer risk in men. J Natl Cancer Inst 96:546-553, 2004 38. Wei EK, Ma J, Pollak MN, et al: A prospective study of C-peptide, insulin-like growth factor-I, insulin-like growth factor binding protein-1, and the risk of colorectal cancer in women. Cancer Epidemiol Biomarkers Prev 14:850-855, 2005 39. Jenab M, Riboli E, Cleveland RJ, et al: Serum C-peptide, IGFBP-1 and IGFBP-2 and risk of colon and rectal cancers in the European Prospective Investigation into Cancer and Nutrition. Int J Cancer 121:368-376, 2007[CrossRef][Medline] 40. Otani T, Iwasaki M, Sasazuki S, et al: Plasma C-peptide, insulin-like growth factor-I, insulin-like growth factor binding proteins and risk of colorectal cancer in a nested case-control study: The Japan public health center-based prospective study. Int J Cancer 120:2007-2012, 2007[CrossRef][Medline] 41. Goodwin PJ, Ennis M, Pritchard KI, et al: Fasting insulin and outcome in early-stage breast cancer: Results of a prospective cohort study. J Clin Oncol 20:42-51, 2002 42. Pasanisi P, Berrino F, De Petris M, et al: Metabolic syndrome as a prognostic factor for breast cancer recurrences. Int J Cancer 119:236-238, 2006[CrossRef][Medline] 43. Pollak M, Chapman JW, Shepherd L, et al: Insulin resistance, estimated by serum C-peptide level, is associated with reduced event-free survival for postmenopsausal women in NCIC CTG MA.14 adjuvant breast cancer trial. J Clin Oncol 24:9s, 2006 (suppl; abstr 524)[CrossRef] 44. Rich-Edwards JW, Corsano KA, Stampfer MJ: Test of the National Death Index and Equifax Nationwide Death Search. Am J Epidemiol 140:1016-1019, 1994 45. Chasan-Taber S, Rimm EB, Stampfer MJ, et al: Reproducibility and validity of a self-administered physical activity questionnaire for male health professionals. Epidemiology 7:81-86, 1996[Medline] 46. Wolf AM, Hunter DJ, Colditz GA, et al: Reproducibility and validity of a self-administered physical activity questionnaire. Int J Epidemiol 23:991-999, 1994 47. Johnson IT, Lund EK: Review article: Nutrition, obesity and colorectal cancer. Aliment Pharmacol Ther 26:161-181, 2007[Medline] 48. Friedenreich CM, Orenstein MR: Physical activity and cancer prevention: Etiologic evidence and biological mechanisms. J Nutr 132:3456S-3464S, 2002 (suppl) 49. International Agency for Research on Cancer: International Agency for Research on Cancer Handbooks of Cancer Prevention: Weight Control and Physical Activity. Lyon, France, International Agency for Research on Cancer, 2002 50. Giovannucci E: Nutrition, insulin, insulin-like growth factors and cancer. Horm Metab Res 35:694-704, 2003[CrossRef][Medline] 51. Davies M, Gupta S, Goldspink G, et al: The insulin-like growth factor system and colorectal cancer: Clinical and experimental evidence. Int J Colorectal Dis 21:201-208, 2006[CrossRef][Medline] 52. Sandhu MS, Dunger DB, Giovannucci EL: Insulin, insulin-like growth factor-I (IGF-I), IGF binding proteins, their biologic interactions, and colorectal cancer. J Natl Cancer Inst 94:972-980, 2002 53. Tran TT, Naigamwalla D, Oprescu AI, et al: Hyperinsulinemia, but not other factors associated with insulin resistance, acutely enhances colorectal epithelial proliferation in vivo. Endocrinology 147:1830-1837, 2006 54. Shi B, Sepp-Lorenzino L, Prisco M, et al: Micro RNA 145 targets the insulin receptor substrate-1 and inhibits the growth of colon cancer cells. J Biol Chem 282:32582-32590, 2007 55. Taniguchi CM, Tran TT, Kondo T, et al: Phosphoinositide 3-kinase regulatory subunit p85alpha suppresses insulin action via positive regulation of PTEN. Proc Natl Acad Sci U S A 103:12093-12097, 2006 56. Sun J, Jin T: Both Wnt and mTOR signaling pathways are involved in insulin-stimulated proto-oncogene expression in intestinal cells. Cell Signal 20:219-229, 2008[CrossRef][Medline] 57. Desbois-Mouthon C, Cadoret A, Blivet-Van Eggelpoel MJ, et al: Insulin-mediated cell proliferation and survival involve inhibition of c-Jun N-terminal kinases through a phosphatidylinositol 3-kinase- and mitogen-activated protein kinase phosphatase-1-dependent pathway. Endocrinology 141:922-931, 2000 58. Bonser AM, Garcia-Webb P: C-peptide measurement: Methods and clinical utility. Crit Rev Clin Lab Sci 19:297-352, 1984[Medline] 59. Hovorka R, Jones RH: How to measure insulin secretion. Diabetes Metab Rev 10:91-117, 1994[Medline] 60. Rajaram S, Baylink DJ, Mohan S: Insulin-like growth factor-binding proteins in serum and other biological fluids: Regulation and functions. Endocr Rev 18:801-831, 1997 61. Katz LE, Satin-Smith MS, Collett-Solberg P, et al: Dual regulation of insulin-like growth factor binding protein-1 levels by insulin and cortisol during fasting. J Clin Endocrinol Metab 83:4426-4430, 1998 62. Giovannucci E, Pollak M, Liu Y, et al: Nutritional predictors of insulin-like growth factor I and their relationships to cancer in men. Cancer Epidemiol Biomarkers Prev 12:84-89, 2003 63. Firth SM, Baxter RC: Cellular actions of the insulin-like growth factor binding proteins. Endocr Rev 23:824-854, 2002 64. Chan JM, Stampfer MJ, Giovannucci E, et al: Plasma insulin-like growth factor-I and prostate cancer risk: A prospective study. Science 279:563-566, 1998 65. Goodman-Gruen D, Barrett-Connor E: Epidemiology of insulin-like growth factor-I in elderly men and women: The Rancho Bernardo Study. Am J Epidemiol 145:970-976, 1997 66. Wolpin BM, Meyerhardt JA, Mamon HJ, et al: Adjuvant treatment of colorectal cancer. CA Cancer J Clin 57:168-185, 2007 Submitted May 5, 2008; accepted September 5, 2008.
Related Editorial
This article has been cited by other articles:
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||
|
Copyright © 2009 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
|