Literature DB >> 11535544

Markers of insulin resistance and colorectal cancer mortality.

M Trevisan1, J Liu, P Muti, G Misciagna, A Menotti, F Fucci.   

Abstract

A link between insulin metabolism and colorectal cancer has been hypothesized, supported by a series of potential physiological mechanisms, and confirmed by a number of reports in experimental animals. However, the evidence in humans is limited and mostly indirect. The aim of the present report is to analyze whether individuals with a cluster of metabolic abnormalities associated with abnormalities in insulin metabolism experience higher mortality for colorectal cancer than those without this cluster of metabolic abnormalities. A total of 21,311 men and 15,991 women 20-69 years of age were followed-up for an average of 7 years as part of the Risk Factors and Life Expectancy Project, a pooling of a number of epidemiological studies conducted in Italy. Our analyses indicate that participants with high levels of blood glucose and a cluster of metabolic abnormalities linked to insulin resistance experienced a significant increased risk of colorectal cancer mortality compared with participants without the cluster. For the presence of the cluster of metabolic abnormalities, the calculated hazard ratios and 95% CIs were 2.96 (1.05-8.31) for men, 2.71 (0.59-12.50) for women, and 2.99 (1.27-7.01) when both sexes were combined. These associations were independent from the potential confounding effect of age, drinking of alcoholic beverages, and smoking. Our findings are supportive of the hypotheses that glucose metabolism hyperinsulinemia, insulin resistance, and metabolic abnormalities associated with it may play a significant role in the etiology of colorectal cancer.

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Year:  2001        PMID: 11535544

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  74 in total

1.  Glycemic index and colorectal carcinogenesis.

Authors:  Edward Giovannucci
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

2.  Insulin resistance, central obesity, and risk of colorectal adenomas.

Authors:  Ana Patricia Ortiz; Cheryl L Thompson; Amitabh Chak; Nathan A Berger; Li Li
Journal:  Cancer       Date:  2011-08-25       Impact factor: 6.860

3.  Usefulness of differentiating metabolic syndrome into visceral fat type and subcutaneous fat type using ultrasonography in Japanese males.

Authors:  Masahiro Sogabe; Toshiya Okahisa; Shingo Hibino; Akira Yamanoi
Journal:  J Gastroenterol       Date:  2011-11-09       Impact factor: 7.527

4.  Hemoglobin A1c concentrations and risk of colorectal cancer in women.

Authors:  Jennifer Lin; Paul M Ridker; Aruna Pradhan; I-Min Lee; JoAnn E Manson; Nancy R Cook; Julie E Buring; Shumin M Zhang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-12       Impact factor: 4.254

Review 5.  The metabolic syndrome: A high-risk state for cancer?

Authors:  Stephanie Cowey; Robert W Hardy
Journal:  Am J Pathol       Date:  2006-11       Impact factor: 4.307

6.  Elevated HbA1c is an independent predictor of aggressive clinical behavior in patients with colorectal cancer: a case-control study.

Authors:  Ali A Siddiqui; Stuart J Spechler; Sergio Huerta; Serag Dredar; Bertis B Little; Byron Cryer
Journal:  Dig Dis Sci       Date:  2008-04-12       Impact factor: 3.199

7.  Metabolic syndrome components and colorectal adenoma in the CLUE II cohort.

Authors:  Konstantinos K Tsilidis; Frederick L Brancati; Michael N Pollak; Nader Rifai; Sandra L Clipp; Judith Hoffman-Bolton; Kathy J Helzlsouer; Elizabeth A Platz
Journal:  Cancer Causes Control       Date:  2009-09-23       Impact factor: 2.506

8.  Hyperglycemia and prostate cancer recurrence in men treated for localized prostate cancer.

Authors:  J L Wright; S R Plymate; M P Porter; J L Gore; D W Lin; E Hu; S B Zeliadt
Journal:  Prostate Cancer Prostatic Dis       Date:  2013-03-05       Impact factor: 5.554

9.  Nutrition, metabolism and colorectal cancer.

Authors:  G Misciagna; M G Caruso; M Trevisan
Journal:  Genes Nutr       Date:  2008-04       Impact factor: 5.523

10.  Quantitative measures of visceral adiposity and body mass index in predicting rectal cancer outcomes after neoadjuvant chemoradiation.

Authors:  Whalen Clark; Erin M Siegel; Y Ann Chen; Xiuhua Zhao; Colin M Parsons; Jonathan M Hernandez; Jill Weber; Shalini Thareja; Junsung Choi; David Shibata
Journal:  J Am Coll Surg       Date:  2013-03-21       Impact factor: 6.113

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