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Medications to reduce breast cancer risk: a network meta-analysis of randomized controlled trials
Ghazaleh Pourali1, Minglu Liu1, Supriya S Sherpa1,2
1Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA.
Background:
Given the rising incidence of breast cancer, especially in premenopausal women, there is an urgent need to identify additional risk-reducing medications to accelerate prevention, as only a few are currently approved. We, therefore, performed network meta-analysis (NMA) to identify and compare the efficacy of medications for primary breast cancer prevention.
Methods:
We performed a literature search completed on November 16, 2023, in Embase, Ovid-Medline, Scopus, and Cochrane Library for randomized controlled trials (RCTs) evaluating risk-reducing medications in women without a history of invasive breast cancer. Two reviewers independently screened and extracted data based on predefined criteria, following the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines, and assessed the risk of bias using the Revised Cochrane Risk of Bias tool. The primary outcome was overall breast cancer incidence, with secondary outcomes including invasive breast cancer and ductal carcinoma in situ. NMA was performed using a random-effects model, measuring efficacy with risk ratios (RR) and number needed to treat (NNT). Medications were ranked using the Surface Under the Cumulative RAnking curve (SUCRA). We performed subgroup analyses by menopause status, primary versus secondary/other outcomes, follow-up, and intervention duration.
Results:
Out of 8,598 studies screened, 43 RCTs (n = 337,240 women) met inclusion criteria. Six medications reduced overall breast cancer risk compared to placebo: sulfonylurea (RR = 0.18, 95% CI = 0.04-0.91, NNT = 44.1, SUCRA = 0.90), thiazolidinediones (RR = 0.25, 95% CI = 0.08-0.78, NNT = 48.3, SUCRA = 0.80), third-generation selective estrogen receptor modulators (SERMs) (RR = 0.46, 95% CI = 0.33-0.66, NNT = 67.3, SUCRA = 0.62), aromatase inhibitors (AIs) (RR = 0.50, 95% CI = 0.39-0.66, NNT = 73.0, SUCRA = 0.55), raloxifene (RR = 0.63, 95% CI = 0.47-0.84, NNT = 96.9, SUCRA = 0.37), and tamoxifen (RR = 0.76, 95% CI = 0.65-0.88, NNT = 149.7, SUCRA = 0.23). AIs (RR = 0.48, 95% CI = 0.33-0.71), tamoxifen (RR = 0.63, 95% CI = 0.51-0.78), and raloxifene (RR = 0.63, 95% CI = 0.47-0.86), were effective for invasive breast cancer. Third-generation SERMs (RR = 0.46, 95% CI = 0.32-0.67), AIs (RR = 0.51, 95% CI = 0.40-0.64), raloxifene (RR = 0.61, 95% CI = 0.46-0.82), and tamoxifen (RR = 0.76, 95% CI = 0.66-0.86) were effective in studies with breast cancer as a primary outcome, while thiazolidinediones (RR = 0.25, 95% CI = 0.07-0.84) were effective in studies with breast cancer as a secondary/other outcome.
Conclusions:
This NMA confirms the efficacy of tamoxifen, raloxifene, and AIs, and identifies thiazolidinediones and third-generation SERMs as promising agents for breast cancer prevention, though not currently included in guidelines. These findings extend prior evidence and highlight the need for trials in premenopausal and racially diverse populations to address existing gaps.
Insights
Network meta-analysis shows sulfonylurea, thiazolidinediones, third-generation SERMs, aromatase inhibitors, raloxifene, and tamoxifen reduce breast cancer risk. Further trials are needed in diverse populations.
Area of Science:
- Oncology
- Pharmacology
- Preventive Medicine
Background:
- Rising breast cancer incidence, particularly in premenopausal women, necessitates new risk-reducing medications.
- Limited approved medications highlight the urgent need for expanded prevention strategies.
Purpose of the Study:
- To conduct a network meta-analysis (NMA) to compare the efficacy of various medications for primary breast cancer prevention.
- Identify and rank medications based on their effectiveness in reducing overall breast cancer incidence.
Main Methods:
- Systematic literature search of randomized controlled trials (RCTs) up to November 2023.
- Data extraction and risk of bias assessment following PRISMA guidelines.
- NMA using a random-effects model, calculating risk ratios (RR) and number needed to treat (NNT), with Surface Under the Cumulative Ranking curve (SUCRA) for medication ranking.
Main Results:
- 43 RCTs (337,240 women) included. Six medications demonstrated reduced overall breast cancer risk: sulfonylurea (RR=0.18), thiazolidinediones (RR=0.25), third-generation SERMs (RR=0.46), AIs (RR=0.50), raloxifene (RR=0.63), and tamoxifen (RR=0.76).
- Aromatase inhibitors, tamoxifen, and raloxifene were effective for invasive breast cancer.
- Thiazolidinediones showed efficacy for breast cancer as a secondary outcome, while third-generation SERMs, AIs, raloxifene, and tamoxifen were effective for primary breast cancer outcomes.
Conclusions:
- Confirms efficacy of tamoxifen, raloxifene, and AIs for breast cancer prevention.
- Identifies thiazolidinediones and third-generation SERMs as promising agents, though not currently guideline-recommended.
- Emphasizes the need for trials in premenopausal and diverse populations to address existing evidence gaps.
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