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Conventional hypoglycaemic agents and the risk of lung cancer in patients with diabetes: a meta-analysis
Ying Wu1, Hong-Bing Liu1, Xue-Fei Shi1
1Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Background:
Accumulating evidence suggests that hypoglycaemic agents influence lung cancer risk in patients with diabetes. It remains to be fully elucidated whether conventional hypoglycaemic agents (metformin, sulfonylureas, thiazolidinediones [TZDs] or insulin) affect lung cancer incidence in patients with diabetes.
Methods:
We performed a meta-analysis using EMBASE, MEDLINE and Web of Science to search randomised controlled trials (RCTs), cohort studies, and case-control studies published up to October 2013 that assessed the effects of metformin, sulfonylurea, TZDs or insulin on lung cancer risk in subjects with diabetes. Fixed and random effects meta-analysis models were used, and the effect size was expressed as a summary odds ratio (OR) with 95% confidence intervals (CI). The Grades of Research, Assessment, Development and Evaluation (GRADE) approach was applied to define the quality of the evidence.
Results:
Analysis of 15 studies (11 cohort studies, 2 case-control studies, and 2 RCTs) showed that metformin use was associated with a 15% reduction in risk of lung cancer (OR 0.85, 95% CI 0.77 to 0.92), but this finding was not supported by sub-analysis of smoking-adjusted studies (OR 0.84, 95% CI 0.61 to 1.06). Moreover, sulfonylurea or TZDs use was not associated with increased or decreased lung cancer risk, respectively (OR 1.10, 95% CI 0.93 to 1.26), (OR 0.86, 95% CI 0.70 to 1.02). Higher lung cancer risk was related to insulin (OR 1.23, 95% CI 1.10 to 1.35). However, all data from RCTs failed to demonstrate a statistically significant effect.
Conclusions:
This analysis demonstrated that metformin use may reduce lung cancer risk in patients with diabetes but not in a smoking-adjusted subgroup and that insulin use may be associated with an increased lung cancer risk in subjects with diabetes.
Insights
Metformin may lower lung cancer risk in diabetic patients, while insulin use might increase it. Further research is needed to confirm these associations, especially considering smoking adjustments.
Area of Science:
- Oncology
- Endocrinology
- Epidemiology
Background:
- Growing evidence links hypoglycemic agents to lung cancer risk in diabetic individuals.
- The specific impact of conventional agents like metformin, sulfonylureas, thiazolidinediones (TZDs), and insulin on lung cancer incidence requires further clarification.
- Understanding these associations is crucial for managing comorbidities in diabetes patients.
Purpose of the Study:
- To conduct a meta-analysis evaluating the relationship between common hypoglycemic agents and lung cancer risk in patients with diabetes.
- To synthesize findings from randomized controlled trials (RCTs), cohort studies, and case-control studies.
- To assess the influence of metformin, sulfonylureas, TZDs, and insulin on lung cancer incidence.
Main Methods:
- A comprehensive meta-analysis was performed using data from EMBASE, MEDLINE, and Web of Science.
- Included studies published up to October 2013, encompassing RCTs, cohort, and case-control designs.
- Fixed and random effects models were employed to calculate summary odds ratios (ORs) with 95% confidence intervals (CIs), and the GRADE approach assessed evidence quality.
Main Results:
- Metformin use was associated with a 15% reduction in lung cancer risk (OR 0.85, 95% CI 0.77-0.92), though not consistently in smoking-adjusted analyses.
- Sulfonylurea and TZD use did not show significant associations with altered lung cancer risk.
- Insulin use was linked to a higher lung cancer risk (OR 1.23, 95% CI 1.10-1.35), but RCT data did not yield statistically significant results.
Conclusions:
- Metformin may offer a potential reduction in lung cancer risk for individuals with diabetes.
- Insulin therapy might be associated with an increased risk of lung cancer in diabetic patients.
- The observed effects require cautious interpretation, particularly due to inconsistencies in smoking-adjusted analyses and lack of statistical significance in RCTs.
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