Literature DB >> 22908063

Insulin resistance and risk of renal cell cancer: a case-control study.

Themistoklis N Spyridopoulos1, Nick Dessypris, Antonis G Antoniadis, Spyros Gialamas, Constantine N Antonopoulos, Konstantina Katsifoti, Hans-Olov Adami, George P Chrousos, Eleni Th Petridou.   

Abstract

OBJECTIVE: Obesity and diabetes are considered risk factors for Renal Cell Carcinoma (RCC). We aimed to explore whether insulin resistance (IR) plays an independent role in the development of RCC.
DESIGN: In a hospital-based case-control study, we analyzed serum glucose, insulin, leptin and adiponectin levels among 60 incident RCC patients and 236 age- and gender-matched healthy controls. We assessed insulin resistance according to insulin levels, alone or controlled for diabetes mellitus (DM). An alternative measure of insulin resistance, such as the Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) index, was also assessed with and without controlling for history of DM. We used logistic regression to estimate odds ratios (ORs) adjusted for possible confounders.
RESULTS: The positive association of DM and waist to hip ratio as a measure of obesity with RCC was evident in the data set. Insulin levels controlled or not controlled for DM, however, were inversely associated with the risk for RCC; notably, an approximately 40% higher risk was observed in the 1st tertile when compared with the 2nd and 3rd tertile levels of insulin resistance. Similar results were obtained when HOMA-IR was alternatively used. The inverse associations persisted and were even strengthened after controlling for potential confounding factors in multivariate analyses.
CONCLUSIONS: Our curdata suggest that insulin resistance may be inversely associated with RCC risk, independently of obesity, DM, lifestyle and hormonal confounding variables. Given the close interconnections among metabolic, inflammatory and immune pathways in RCC causation, it is difficult to infer which process actually initiates a pathologic cascade. The findings should be considered as preliminary data that need to be further confirmed in more appropriate study designs.

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Year:  2012        PMID: 22908063     DOI: 10.14310/horm.2002.1359

Source DB:  PubMed          Journal:  Hormones (Athens)        ISSN: 1109-3099            Impact factor:   2.885


  6 in total

1.  Association Between Diabetes and the Risk of Kidney Cancer: Systematic Review and Meta-Analysis.

Authors:  Andrés Bonilla-Sanchez; Jenny Rojas-Munoz; Herney Andrés Garcia-Perdomo
Journal:  Clin Diabetes       Date:  2022

2.  Glycemic index, glycemic load and carbohydrate intake in association with risk of renal cell carcinoma.

Authors:  Jingfen Zhu; Huakang Tu; Surena F Matin; Nizar M Tannir; Christopher G Wood; Xifeng Wu
Journal:  Carcinogenesis       Date:  2017-10-26       Impact factor: 4.944

3.  Serum glucose and risk of cancer: a meta-analysis.

Authors:  Danielle J Crawley; Lars Holmberg; Jennifer C Melvin; Massimo Loda; Simon Chowdhury; Sarah M Rudman; Mieke Van Hemelrijck
Journal:  BMC Cancer       Date:  2014-12-19       Impact factor: 4.430

4.  A Drosophila Model of HPV E6-Induced Malignancy Reveals Essential Roles for Magi and the Insulin Receptor.

Authors:  Mojgan Padash Barmchi; Mary Gilbert; Miranda Thomas; Lawrence Banks; Bing Zhang; Vanessa J Auld
Journal:  PLoS Pathog       Date:  2016-08-18       Impact factor: 6.823

Review 5.  Circulating adiponectin levels in various malignancies: an updated meta-analysis of 107 studies.

Authors:  Tai Wei; Peng Ye; Xin Peng; Li-Ling Wu; Guang-Yan Yu
Journal:  Oncotarget       Date:  2016-07-26

6.  Is Type 2 Diabetes Causally Associated With Cancer Risk? Evidence From a Two-Sample Mendelian Randomization Study.

Authors:  Shuai Yuan; Siddhartha Kar; Paul Carter; Mathew Vithayathil; Amy M Mason; Stephen Burgess; Susanna C Larsson
Journal:  Diabetes       Date:  2020-04-29       Impact factor: 9.461

  6 in total

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