Medications to reduce breast cancer risk: a network meta-analysis of randomized controlled trials.

IF 5.6 1区 医学 Q1 Medicine
Ghazaleh Pourali, Minglu Liu, Supriya S Sherpa, Angela Hardi, Chongliang Luo, Adetunji T Toriola
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引用次数: 0

Abstract

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.

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降低乳腺癌风险的药物:随机对照试验的网络荟萃分析。
背景:考虑到乳腺癌发病率的上升,尤其是绝经前妇女,迫切需要确定额外的降低风险的药物来加速预防,因为目前只有少数药物获得批准。因此,我们进行了网络荟萃分析(NMA)来确定和比较原发性乳腺癌预防药物的疗效。方法:我们于2023年11月16日在Embase、Ovid-Medline、Scopus和Cochrane文库中检索了评估无浸润性乳腺癌病史的女性使用降低风险药物的随机对照试验(rct)的文献。两位审稿人根据预先设定的标准独立筛选和提取数据,遵循系统评价和荟萃分析指南的首选报告项目,并使用修订后的Cochrane偏倚风险工具评估偏倚风险。主要结局是总体乳腺癌发病率,次要结局包括浸润性乳腺癌和导管原位癌。NMA采用随机效应模型,用风险比(RR)和需要治疗的数量(NNT)来衡量疗效。采用累积排序曲线(SUCRA)对药物进行排序。我们根据绝经状态、主要与次要/其他结局、随访和干预持续时间进行了亚组分析。结果:在8,598项研究中,43项rct (n = 337,240名女性)符合纳入标准。与安慰剂相比,有六种药物降低了乳腺癌的总体风险:磺酰脲类(RR = 0.18, 95% CI -0.91 = 0.04,例数十分= 44.1,SUCRA = 0.90), thiazolidinediones (RR = 0.25, 95% CI -0.78 = 0.08,例数十分= 48.3,SUCRA = 0.80),第三代选择性雌激素受体调节剂(SERMs) (RR = 0.46, 95% CI -0.66 = 0.33,例数十分= 67.3,SUCRA = 0.62),芳香化酶抑制剂(AIs) (RR = 0.50, 95% CI -0.66 = 0.39,例数十分= 73.0,SUCRA = 0.55),雷洛昔芬(RR = 0.63, 95% CI -0.84 = 0.47,例数十分= 96.9,SUCRA = 0.37),和它莫西芬(RR = 0.76, 95% CI -0.88 = 0.65,例数十分= 149.7,sucra = 0.23)。AIs (RR = 0.48, 95% CI = 0.33-0.71)、他莫昔芬(RR = 0.63, 95% CI = 0.51-0.78)和雷洛昔芬(RR = 0.63, 95% CI = 0.47-0.86)对浸润性乳腺癌有效。第三代serm (RR = 0.46, 95% CI = 0.32-0.67)、AIs (RR = 0.51, 95% CI = 0.40-0.64)、雷洛昔芬(RR = 0.61, 95% CI = 0.46-0.82)和他莫昔芬(RR = 0.76, 95% CI = 0.66-0.86)在以乳腺癌为主要结局的研究中有效,而噻唑烷二酮类药物(RR = 0.25, 95% CI = 0.07-0.84)在以乳腺癌为次要/其他结局的研究中有效。结论:该NMA证实了他莫昔芬、雷洛昔芬和AIs的有效性,并确定噻唑烷二酮类药物和第三代serm是预防乳腺癌的有希望的药物,尽管目前尚未纳入指南。这些发现扩展了先前的证据,并强调需要在绝经前和不同种族的人群中进行试验,以解决现有的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
76
审稿时长
12 weeks
期刊介绍: Breast Cancer Research, an international, peer-reviewed online journal, publishes original research, reviews, editorials, and reports. It features open-access research articles of exceptional interest across all areas of biology and medicine relevant to breast cancer. This includes normal mammary gland biology, with a special emphasis on the genetic, biochemical, and cellular basis of breast cancer. In addition to basic research, the journal covers preclinical, translational, and clinical studies with a biological basis, including Phase I and Phase II trials.
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