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Diabetes and cancer II: role of diabetes medications and influence of shared risk factors

Overview of attention for article published in Cancer Causes & Control, April 2012
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Title
Diabetes and cancer II: role of diabetes medications and influence of shared risk factors
Published in
Cancer Causes & Control, April 2012
DOI 10.1007/s10552-012-9971-4
Pubmed ID
Authors

Adedayo A. Onitilo, Jessica M. Engel, Ingrid Glurich, Rachel V. Stankowski, Gail M. Williams, Suhail A. Doi

Abstract

An association between type 2 diabetes mellitus (DM) and cancer has long been postulated, but the biological mechanism responsible for this association has not been defined. In part one of this review, we discussed the epidemiological evidence for increased risk of cancer, decreased cancer survival, and decreased rates of cancer screening in diabetic patients. Here we review the risk factors shared by cancer and DM and how DM medications play a role in altering cancer risk. Hyperinsulinemia stands out as a major factor contributing to the association between DM and cancer, and modulation of circulating insulin levels by DM medications appears to play an important role in altering cancer risk. Drugs that increase circulating insulin, including exogenous insulin, insulin analogs, and insulin secretagogues, are generally associated with an increased cancer risk. In contrast, drugs that regulate insulin signaling without increasing levels, especially metformin, appear to be associated with a decreased cancer risk. In addition to hyperinsulinemia, the effect of DM medications on other shared risk factors including hyperglycemia, obesity, and oxidative stress as well as demographic factors that may influence the use of certain DM drugs in different populations are described. Further elucidation of the mechanisms behind the association between DM, cancer, and the role of DM medications in modulating cancer risk may aid in the development of better prevention and treatment options for both DM and cancer. Additionally, incorporation of DM medication use into cancer prediction models may lead to the development of improved risk assessment tools for diabetic patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Portugal 1 1%
United States 1 1%
Unknown 75 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 22%
Researcher 12 15%
Student > Bachelor 9 11%
Student > Ph. D. Student 8 10%
Student > Postgraduate 5 6%
Other 16 20%
Unknown 12 15%
Readers by discipline Count As %
Medicine and Dentistry 36 46%
Biochemistry, Genetics and Molecular Biology 6 8%
Nursing and Health Professions 5 6%
Agricultural and Biological Sciences 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 9 11%
Unknown 15 19%