Literature DB >> 25724262

Cancer-drug induced insulin resistance: innocent bystander or unusual suspect.

G Ariaans1, S de Jong2, J A Gietema3, J D Lefrandt4, E G E de Vries5, M Jalving6.   

Abstract

Epidemiological and experimental evidence strongly suggests an association between type 2 diabetes mellitus and cancer. Insulin resistance, causing hyperinsulinaemia and eventually hyperglycaemia, appears to increase cancer incidence and disease progression. In addition, insulin resistance seems to reduce the efficacy of cancer therapy. Treatment with cancer therapeutics such as glucocorticoids, chemotherapy, hormonal therapies and targeted drugs can actually induce insulin resistance. The question arises whether cancer-therapy induced insulin resistance impairs anticancer treatment efficacy and disease outcome. Here, we review current literature regarding the incidence of cancer-therapy induced insulin resistance and describe the systemic and extra- and intracellular changes that occur in insulin signalling pathways and glucose metabolism. Subsequently, clinical and preclinical evidence for consequences of insulin resistance in terms of cancer progression and survival is presented. Finally, potential interventions including diabetes medication and limiting energy availability through diets and exercise are discussed.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer; Cancer therapy; Diabetes; Fasting; Insulin resistance; Metformin

Mesh:

Substances:

Year:  2015        PMID: 25724262     DOI: 10.1016/j.ctrv.2015.02.007

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  14 in total

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4.  Long-term diabetes risk among endometrial cancer survivors in a population-based cohort study.

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Review 8.  Higher Incidence of Diabetes in Cancer Patients Compared to Cancer-Free Population Controls: A Systematic Review and Meta-Analysis.

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10.  Association between normal triglyceride and insulin resistance in US adults without other risk factors: a cross-sectional study from the US National Health and Nutrition Examination Survey, 2007-2014.

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Journal:  BMJ Open       Date:  2019-08-10       Impact factor: 2.692

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