Objective: To obtain evidence of the effects of metformin and statins on the incidence of ovarian cancer in women with type 2 diabetes (T2D).
Design: A retrospective cohort study and nested case-control study.
Setting: The data were obtained from a diabetes database (FinDM) combining information from several nationwide registers.
Population: A cohort of 137 643 women over 40 years old and diagnosed with T2D during 1996-2011 in Finland.
Methods: In full cohort analysis Poisson regression was used to estimate the hazard ratios (HR) in relation to ever use of metformin, insulin other oral anti-diabetic medication or statins. In the nested case-control analysis 20 controls were matched to each case of ovarian cancer. Conditional logistic regression was used to estimate HRs in relation to medication use and cumulative use of different medications. The estimates were adjusted for age and duration of T2D.
Main Outcome Measure: Incidence of ovarian cancer.
Results: In all, 303 women were diagnosed with ovarian cancer during the follow up. Compared with other forms of oral anti-diabetic medication, metformin (HR 1.02, 95% CI: 0.72-1.45) was not found to be associated with the incidence of ovarian cancer. Neither was there evidence for statins to affect the incidence (HR 0.99, 95% CI: 0.78-1.25). In nested case-control analysis the results were essentially similar.
Conclusions: No evidence of an association between the use of metformin or statins and the incidence of ovarian cancer in women with T2D was found.
Tweetable Abstract: No evidence found for metformin or statins reducing the incidence of ovarian cancer.
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http://dx.doi.org/10.1111/1471-0528.15151 | DOI Listing |
J Clin Oncol
January 2025
German Breast Group, Neu-Isenburg, Germany.
Purpose: To assess trial-level surrogacy value for overall survival (OS) of the pathologic complete response (pCR) and invasive disease-free survival (iDFS) in randomized clinical trials (RCTs) for early breast cancer (BC).
Methods: Individual patient data of neoadjuvant RCTs with available data on pCR, iDFS, and OS were included in the analysis. We used the coefficient of determination from weighted linear regression models to quantify the association between treatment effects on OS and on the surrogate end points.
PLoS Med
January 2025
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View Article and Find Full Text PDFGlycoconj J
January 2025
Department of Radiology, First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, Guangxi, 530021, China.
In this study, spatial and single-cell transcriptome techniques were used to investigate the role of beta-galactoside alpha-2,6-sialyltransferase 1 (ST6GAL1) in promoting peritoneal metastasis in ovarian cancer epithelial cells. We collected single-cell transcriptomic (GSE130000) and spatial transcriptomic datasets (GSE211956) from the Gene Expression Omnibus and RNA-sequencing data from The Cancer Genome Atlas. The Robust Cell Type Decomposition (RCTD) approach was implemented to integrate spatial and single-cell transcriptomic data.
View Article and Find Full Text PDFFront Oncol
December 2024
Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
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View Article and Find Full Text PDFWomens Health Rep (New Rochelle)
January 2025
Institute of Epidemiology and Preventive Medicine, Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan.
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View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!