Literature DB >> 31410067

Bisphosphonates and primary breast cancer risk: an updated systematic review and meta-analysis involving 963,995 women.

Yupeng Liu1,2, Xiaosan Zhang3, Hongru Sun2, Shu Zhao4, Yuxue Zhang5, Dapeng Li2, Qingyuan Zhang4, Yashuang Zhao2.   

Abstract

IMPORTANCE: Prevention of primary breast cancer (BCa) in women is of great public health importance. The existing results from observational epidemiologic studies focused on the association between bisphosphonates and primary BCa risk have been inconsistent.
OBJECTIVE: To update this systematic review and meta-analysis to assess the effect of bisphosphonates on primary BCa risk. DATA SOURCES: We comprehensively searched MEDLINE, EMBASE, Cochrane libraries, ProQuest, and Web of Science through June 25, 2018 for relevant studies. STUDY SELECTION: Epidemiological studies that assessed the effect of bisphosphonates on the risk of primary BCa in women. DATA EXTRACTION AND SYNTHESIS: We reported this meta-analysis according to the PRISMA guidelines. Available multivariable-adjusted effect estimates and corresponding 95% CIs were pooled with a random-effects model. MAIN OUTCOMES AND MEASURES: The prespecified main outcome was the risk of primary BCa.
RESULTS: In total, five cohort studies involving 657,558 women and 12,991 primary BCa patients, three population-based case-control studies involving 54,701 primary BCa cases and 237,962 healthy controls and two randomized controlled trials (RCTs) involving 13,774 women and 165 primary BCa patients were included in this meta-analysis. Bisphosphonates were associated with a 12% decreased risk of primary BCa (RR, 0.88; 95% CI, 0.83-0.94). However, when we analyzed study designs separately, the pooled results from observational studies were inconsistent with that from RCTs. The observed association of primary BCa risk with long-term use (≥1 year) of bisphosphonates seemed to be more robust and stronger than that of short-term use (<1 year) (RR, 0.75; 95% CI, 0.66-0.84; and 0.90; 95% CI, 0.84-0.97; respectively).
CONCLUSION: This meta-analysis adds to the body of evidence for an association between bisphosphonates and a significantly decreased risk of primary BCa. However, future large-scale RCTs are required to validate this concern.

Entities:  

Keywords:  bisphosphonates; meta-analysis; primary breast cancer risk

Year:  2019        PMID: 31410067      PMCID: PMC6645691          DOI: 10.2147/CLEP.S194056

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

Breast cancer (BCa) is the most frequently diagnosed cancer and the leading cause of cancer deaths among females worldwide,1 with an estimated 2,088,849 newly diagnosed cases in 2018. Incidence rates are highest in economically developed countries but are now increasing rapidly in developing countries as well.2 Prevention of primary BCa in women is of great public health importance. Bisphosphonates are widely used for the prevention and treatment of osteoporosis.3,4 Recently, an increasing body of evidence has shown that bisphosphonates have potential anticancer properties against the risk of developing primary BCa. Although the precise biologic mechanisms that link bisphosphonates and BCa risk remain unclear, an increasing body of evidence supports the notion that bisphosphonates may modify the tumour cell microenvironment and directly affect tumour cells through a variety of pathways, including inhibition of osteolysis and release of bone-derived growth factors,5 inhibition of protein prenylation,6,7 and angiogenesis inhibition,8,9 enhanced immune surveillance by activation of gamma delta T cells,10,11 direct inhibition of tumour cell growth, proliferation, adhesion and invasion, and induction of apoptosis.12,13 To date, several epidemiologic studies have assessed the relationship between bisphosphonates and BCa risk. However, the findings have been inconsistent. Recently, a report from two randomized controlled trials (RCTs, Fracture Intervention Trial (FIT) and Health Outcomes and Reduced Incidence with Zoledronic Acid Once Yearly–Pivotal Fracture Trial (HORIZON-PFT)) has showed that bisphosphonates could not decrease the incidence risk of primary BCa.14 In our previous meta-analysis, which included four observational studies, we reported a significant protective effect of bisphosphonates on the risk of BCa.15 Since then, however, three large cohort studies16–18 involving 95,701 participants and 1,079 BCa patients and one large nested case-control study19 involving 49,933 BCa patients and 232,780 controls have been published. We therefore performed an updated comprehensive systematic review and meta-analysis to determine and quantify the potential antitumor effect of bisphosphonates on the risk of primary BCa.

Methods

Search strategy and selection criteria

This meta-analysis was registered on PROSPERO (CRD42014014901) and was reported according to the PRISMA guidelines (the checklist was provided as ).20 We systematically searched the electronic databases of MEDLINE, EMBASE, ProQuest, and Web of Science through August 15, 2016 to identify relevant publications. We used a combination of Medical Subject Headings (MeSH) terms and corresponding free-text terms as follows: (diphosphonates[MeSH Terms] or diphosphonate or bisphosphonate or alendron* or etidron* or clodron* or zoledron* or risedron* or ibandron* or pamidron* or tiludron* or neridron* or olpadron*) and (breast neoplasms[MeSH Terms] or breast neoplasm or breast cancer or breast tumor or mammary carcinoma or mammary neoplasm). The reference sections and citation lists of the retrieved literature, including original research articles, reviews, editorials, and letters, were manually reviewed for potentially relevant articles. An updated search was performed (from August 16, 2016, through June 25, 2018) to identify new literatures. We included studies that met the following inclusion criteria: 1) epidemiological studies (including case-control or cohort studies, or RCTs) that addressed the potential effect of bisphosphonates on primary BCa risk; 2) studies that reported effect estimates, which included the RRs, ORs and HR with 95% CIs, or reported sufficient information to calculate these values; 3) when multiple articles were published from the same population, we included the most recent or complete publication or the one with the highest quality score; and 4) studies that addressed the association between bisphosphonates and contralateral BCa risk in women with primary BCa were excluded from the main analysis but included in a sensitivity analysis. There were no restrictions on language, sample size, or participant characteristics.

Data extraction and quality assessment

The eligibility determination, data extraction, and quality assessment for each study were performed independently by two authors (YP.L. and XS.Z.). Disagreements were resolved by discussion and consensus with a third author (HR.S.). Standard electronic forms specifically created for the present study were used to record the following information: authors, publication date, characteristics of participants (country, age and menopausal status), bisphosphonate exposure (type, dose, frequency, and duration), and studies (study design, sample size, and the controlled or adjusted potential confounding factors). Both the maximally and minimally adjusted effect sizes with 95% CIs were recorded, if available. The extracted data from each study was carefully checked and verified before performing meta-analysis. When necessary, we contacted authors of studies for missing information. A quality-scoring system, which was partially derived from that developed by Voskuil and colleagues and included 15 items (5 on selection bias, 8 on misclassification bias, and 2 on confounding bias) with a maximum score of 95, was adopted to assess the methodological quality of observational epidemiological studies.21 The quality score of each study was presented as a percentage of the maximum score, and studies with a score of >70% were categorized as high-quality studies (). The Jadad score22 and Cochrane risk of bias tool23 were used to assess the quality of RCTs.

Statistical analysis

In this meta-analysis, the maximally adjusted effect sizes and 95% CIs were pooled using random-effects models, rather than fixed-effects models, to analyze the results in a conservative manner. When an individual study only reported effect estimates for each type of bisphosphonate separately24 or separately reported risk estimates in ductal carcinoma in situ and invasive BCa,25 likely to account for a higher relative weight in the pooled analysis, we initially combined the subgroup datasets into a study-specific effect estimate with a fixed-effects model.26 To evaluate whether a duration-dependent threshold effect of bisphosphonates on primary BCa risk exists, we conducted a cumulative meta-analysis based on the medication duration across the included studies. We estimated the between-study heterogeneity using the Q test and the I2 Statistic.27,28 To investigate potential sources of the between-study heterogeneity, we performed subgroup and meta-regression analyses using random-effects models. For sensitivity analyses, we removed the most relatively weighted study from each subgroup analysis to assess its influence on the summarized estimates and to explore potential sources of heterogeneity. We then conducted another sensitivity analysis using the fixed-effects model. In addition, to test whether the underlying confounders that were adjusted or controlled in the original observational studies could have influenced the effect of bisphosphonates on primary BCa risk, we conducted repetition analyses using the minimally adjusted data and subsequently analyzed the confounding RR, which was defined as the ratio of the pooled results of the maximally and minimally adjusted data.29 Potential impact of an unmeasured confounder on the observed results was calculated presenting E-values for point estimates and the upper limit of the CIs as recently suggested by VanderWeele and colleagues.30 We performed a sensitivity analysis to assess the association between bisphosphonates and the risk of developing contralateral BCa among primary BCa patients. We also performed a sensitivity analysis to include only the prospective studies (including cohort studies, RCTs and nested case-control studies), because the prospective nature of cohort studies and RCTs is invaluable for confirming the temporal sequence of bisphosphonate use and primary BCa onset and therefore helps to examine causal associations. To determine the evidence strength of the association between bisphosphonates and the incidence risk of primary BCa, an evidence synthesis modified from previous studies was developed.21 To assess potential publication bias, we used funnel plots for asymmetry and, formally, used the Begg’s rank correlation and Egger’s linear regression tests.31 Furthermore, we robustly adjusted for the summarized results by applying the Duval and Tweedie’s trim and fill method.32 We did all analyses with Comprehensive Meta Analysis version 2.2.046 (Biostat, Englewood, NJ, USA). All tests were two-sided. Statistical significance was defined as P-values <0.05.

Results

Characteristics and reporting quality of included studies

The search strategy identified 10 eligible studies (Figure 1). The main characteristics of 10 studies included are provided in –. Briefly, there were five cohort studies,16–18,24,25 three population-based case-control studies19,33,34 and two RCTs.14 The two RCTs enrolled 13,774 participants, with a total of 165 primary BCa cases. The five cohort studies enrolled 657,558 participants, with mean follow-up periods ranging from 2.9 to 8.5 years and 12,991 cases, while the three case-control studies included 54,701 cases and 237,962 controls. Overall, these 10 studies enrolled 67,857 primary BCa cases and 188,685 bisphosphonate users. Of these, seven studies14,18,24,25,33,34 focused on BCa risk, and the other three studies16,17,19 assessed the association between bisphosphonates and the risk of developing various cancers, including BCa. Among these studies, the majority of the participants were postmenopausal women, and the mean age ranged from 54.2 to 73.5 years. All but one study33 reported the type of bisphosphonate used, of which alendronate was the most common (range, 51.8–100%).
Figure 1

Flow diagram of study selection.

Abbreviations: BCa, breast cancer; BPs, bisphosphonates; CBCa, contralateral breast cancer.

Flow diagram of study selection. Abbreviations: BCa, breast cancer; BPs, bisphosphonates; CBCa, contralateral breast cancer.

Bisphosphonates and primary BCa risk

Overall, we noted a 12% risk reduction of primary BCa in women who used bisphosphonates compared with non-users (RR, 0.88; 95% CI, 0.83–0.94; Table 1 and Figure 2). Considering the study design separately, we found similar associations in cohort studies and case-control studies (OR, 0.83; 95% CI, 0.71–0.98; RR, 0.87; 95% CI, 0.80–0.95; respectively); however, the association was not found in RCTs (RR, 1.13; 95% CI, 0.81–1.57). When restricted to invasive BCa or postmenopausal women, the pooled RRs were 0.83 (95% CI, 0.69–0.99; Figure S1) and 0.89 (95% CI, 0.80–0.99; Figure S2), respectively.
Table 1

The pooled association between bisphosphonates and breast cancer risk

SubgroupsNo. of studiesModelsaEffect estimate (95% CI)Heterogeneity between studiesHeterogeneitybetween modelsaE-valuesb for
I2 (%)P-valueP-valuePointestimateUpper CI limit
Total10R0.879 (0.826–0.936)35.530.1240.6951.5331.339
F0.892 (0.858–0.927)1.4901.370
Study design
Case-control study3R0.834 (0.711–0.979)61.790.0730.3541.6881.170
F0.903 (0.857–0.951)1.4521.284
Cohort study5R0.874 (0.803–0.951)33.180.2000.9481.5501.284
F0.871 (0.822–0.924)1.1481.381
RCT2R1.127 (0.808–1.573)0.000.9181.0001.5051.000
F1.127 (0.808–1.573)1.5051.000
Invasive BCa6R0.829 (0.692–0.994)59.540.0300.9021.7051.084
F0.840 (0.757–0.932)1.6671.353
Postmenopausal7R0.888 (0.798–0.989)30.500.1951.0001.5031.117
F0.888 (0.817–0.964)1.5031.234
Duration of BPs use (year)
<15R0.904 (0.842–0.970)0.000.5221.0001.4491.210
F0.904 (0.842–0.970)1.4491.210
≥1 (including 1–2, 2–3, 3–4, and >4)19R0.745 (0.658–0.844)74.61<0.0010.1432.0201.653
F0.823 (0.785–0.864)1.7261.584
1–25R0.690 (0.534–0.893)87.00<0.0010.1032.2561.486
F0.859 (0.811–0.909)1.6011.432
2–34R0.732 (0.554–0.967)72.820.0120.9732.0731.222
F0.728 (0.632–0.838)2.0901.674
3–46R0.862 (0.682–1.090)59.400.0310.6381.5911.000
F0.807 (0.699–0.932)1.7841.353
>44R0.678 (0.525–0.875)38.450.1810.8992.3121.547
F0.664 (0.546–0.809)2.3791.776

Notes: aWe used the summarized effect estimates with a random-effects model in the primary meta-analyses, and performed a sensitivity analysis using a fixed-effects model. The homogeneity between the results from a random-effects model and a fixed-effects model was evaluated with the heterogeneity between models. bE-value shows the minimum strength of association that a hypothetical residual confounding factor would need to have with both the use of bisphosphonates and the risk of primary BCa to fully explain an association between bisphosphonates and primary BCa risk. Note that these calculations assumed an optimal frequency for the hypothetical confounder. For an infrequent confounder, the strength of the associations between the confounder and bisphosphonate use and between the confounder and primary BCa risk needs to be much stronger.

Abbreviations: BCa, breast cancer; BPs, bisphosphonates; F, a fixed-effects model; R, a random-effects model.

Figure 2

Forest plot for the association between bisphosphonates and primary breast cancer risk. Square markers indicate effect sizes of each study; horizontal lines, the 95% CI. The diamond data marker indicates the summarized effect size. The vertical solid line indicates the overall pooled effect. Note that the studies are ranked in order of their relative weights from random effects analysis.

Forest plot for the association between bisphosphonates and primary breast cancer risk. Square markers indicate effect sizes of each study; horizontal lines, the 95% CI. The diamond data marker indicates the summarized effect size. The vertical solid line indicates the overall pooled effect. Note that the studies are ranked in order of their relative weights from random effects analysis. The pooled association between bisphosphonates and breast cancer risk Notes: aWe used the summarized effect estimates with a random-effects model in the primary meta-analyses, and performed a sensitivity analysis using a fixed-effects model. The homogeneity between the results from a random-effects model and a fixed-effects model was evaluated with the heterogeneity between models. bE-value shows the minimum strength of association that a hypothetical residual confounding factor would need to have with both the use of bisphosphonates and the risk of primary BCa to fully explain an association between bisphosphonates and primary BCa risk. Note that these calculations assumed an optimal frequency for the hypothetical confounder. For an infrequent confounder, the strength of the associations between the confounder and bisphosphonate use and between the confounder and primary BCa risk needs to be much stronger. Abbreviations: BCa, breast cancer; BPs, bisphosphonates; F, a fixed-effects model; R, a random-effects model.

Duration-response analysis of bisphosphonates and primary BCa risk

Eight studies14,17–19,25,33,34 were included in this duration-response analysis. Subgroup analyses (Table 1 and Figure S3) showed that women who used bisphosphonates for ≥1 year before diagnosis had a 25% reduced risk of BCa (RR, 0.75; 95% CI, 0.66–0.84), whereas those who received bisphosphonates for <1 year had an attenuated risk reduction (RR, 0.90; 95% CI, 0.84–0.97). Similarly, cumulative meta-analysis based on duration of bisphosphonate use demonstrated that a 10% risk reduction of primary BCa was observed when the duration of medication usage reached 1 year (RR, 0.90; 95% CI, 0.84–0.97; Figure S4). Thereafter, the observed protective effect did not change substantially with increasing years of medication usage, although subsequent datasets have increased the precision of the magnitude of the effect.

Sensitivity analyses

We performed a repetition analysis with fixed-effects models and found no significant change in the pooled results (Table 1). Furthermore, a repetition analysis using the minimally adjusted data from original studies was also carried out, and confounding RRs demonstrated that the summarized results did not significantly differ from those with the maximally adjusted data (Table S4). Moreover, confounding RR values indicated that the summarized results with the maximally adjusted data were more conservative. According to the results from E-value sensitivity analyses, E-values for both the observed point estimates and the upper limit of the CIs were all small (Table 1), indicating that little unmeasured confounding would be needed to explain away the observed association estimates. Another sensitivity analysis excluding the study with the most relative weight in each subgroup did not result in a substantial change of the summarized results (Table S5), except for subgroup analyses of cohort studies, bisphosphonate use duration of <1 year, 2–3 years or >4 years. We also performed a sensitivity analysis by excluding retrospective case-control studies and found a RR of 0.90 (95% CI, 0.85–0.95; Figure S5). Another sensitivity analysis that excluded the RCTs showed a RR of 0.87 (95% CI, 0.82–0.93; Figure S6). Another three observational studies assessed the impact of bisphosphonates on risk of second primary contralateral BCa among BCa survivors.35–37 The characteristics of these studies were shown in Tables S6 and S7. When these results were pooled together, the RR was 0.84 (95% CI, 0.66–1.07; Figure S7). By including these studies, we performed another sensitivity analysis and found a RR of 0.88 (95% CI, 0.84–0.93; Figure S8).

Heterogeneity

In general, there was no obvious between-study heterogeneity (P=0.12; I2=35.53%). When considering study design, we observed moderate heterogeneity across the case-control studies (P=0.07; I2=61.79%), but not across the cohort studies (P=0.20; I2=33.18%) or the RCTs (P=0.92; I2=0.00%). Based on results from meta-regression analyses, we found that the between-study heterogeneity was not relevant to the mean age of participants (P=0.65, Figure S9A), quality score (P=0.76, Figure S9B), the number of BCa patients (P=0.11, Figure S9C), or bisphosphonate users (P=0.56, Figure S9D).

Publication bias

We found limited evidence for publication bias using funnel plots (Figure S10), Begg’s rank correlation or Egger’s regression test (Table S8). In addition, the adjusted summary effect size analyzed using the trim and fill method did not demonstrate a substantial change, which also implies no evidence of publication bias.

Discussion

This meta-analysis has strengthened the evidence for anticancer effects of bisphosphonates in BCa primary prevention. We found a 12% risk reduction of BCa associated with bisphosphonates. However, according to the evidence synthesis, there is a general “indecisive” evidence for this association (Table S9). Bisphosphonates have predominantly been used in women with osteoporosis who typically have a low bone mineral density (BMD) level, which is caused by a low level of circulating estrogen that is associated with BCa risk38 and may result in confounding by indication in observational studies.14 Consequently, it is vital to determine whether the association of risk reduction of BCa with bisphosphonates is merely responsible for the inverse relationship between osteoporosis, the indication of bisphosphonate therapy, and BCa risk. Eight of the 10 analyzed studies have adjusted for BMD status14 or other factors that reflect the level of BMD between bisphosphonate users and non-users, including the 5-year hip fracture score25 and history of osteoporosis or fracture.16–19,33 When we pooled the results of these eight studies together, we found that a decreased risk of BCa remained associated with the use of bisphosphonate, which supports the evidence for an authentic inverse association between bisphosphonates and BCa risk, independent of indications of bisphosphonates. Menopausal status can influence the levels of estrogens in women, as circulating concentrations of estrogens decrease markedly after menopause.39 Among the studies included, enrolled participants were predominantly postmenopausal women, and none of these studies reported an effect in premenopausal women separately. When we limited participants to postmenopausal women, we found a similar inverse association between bisphosphonates and BCa risk. Two previous meta-analyses have focused on the same issues. In our previous meta-analysis that included only 4 studies, we reported a 15% risk reduction of primary BCa related with bisphosphonates.15 Thereafter, another meta-analysis by Ou et al reported a very similar effect estimate of 16% risk reduction associated with bisphosphonates.40 The pooled effect size of our current study is smaller than those in these two previous meta-analyses. The possible reason may be that neither of the previous meta-analyses had taken into account the RCT results. As commonly known, results from observational epidemiological studies cannot confirm causality.41 However, it is possibly difficult to conduct an RCT to address the effect of bisphosphonates in the primary prevention of BCa due to ethical challenges and the requirement for a considerably large sample size.41 Recently, the results from two RCTs (FIT and HORIZON-PFT) were published.14 Hue and colleagues showed that 3–4 years of bisphosphonate treatment did not decrease the risk of invasive BCa in postmenopausal women.14 Of note, the two RCTs were at high risk of selective reporting bias according to the Cochrane Collaboration recommendation (Figures S11A and B), since they were not initially designed to study BCa outcomes as the authors stated.14 The data about incident BCa were collected from adverse event databases, thus, the results were prone to detection bias. Because women assigned to bisphosphonate therapy group were more likely to visit clinics or be hospitalized and subsequently had higher incidence rate of newly diagnosed BCa, since the number of patients with adverse events were significantly higher in the bisphosphonate treatment group compared with the placebo control group (95.5% vs 93.9%, P=0.002).42 Additionally, given the limited number of BCa patients during the follow-up period and the limited statistical power (in the Supplementary), the findings from the two RCTs (even those that were very well done) are not sufficient to overturn the findings from observational studies. Three observational studies assessed the impact of bisphosphonates on contralateral BCa risk among BCa survivors.35–37 When pooling these results together, we did not find an obvious association, which is consistent with the results from a meta-analysis of individual patient data from RCTs that showed no significant effect on contralateral BCa.43 These findings provide no support for bisphosphonate treatment as BCa chemoprevention strategy. It is supposed that bisphosphonates may have different effects on healthy women (as average-risk populations of developing BCa) or on women with primary BCa. Eight14,17–19,25,33,34 of the studies included assessed the relationship between bisphosphonate use duration (from <1 to >5 years) and primary BCa risk, although the findings were inconsistent. The controversy has focused on the optimum duration of bisphosphonate use, the magnitude of the beneficial effect and possible harm from long-term use of bisphosphonates. Subgroup analyses based on the medication periods suggested that, compared to non-users, women who used bisphosphonates for <1 year had a 10% decreased risk of primary BCa, whereas women with ≥1 year of bisphosphonate use had a 25% lower risk of primary BCa. However, in the subgroup of <1 year of bisphosphonate use, a sensitivity analysis excluding Vinogradova’ study, which had 84.37% relative weight, showed no significant effect of bisphosphonates on primary BCa risk. Given the limited number of studies included in each subgroup, the results from subgroup analyses should not be overemphasized. Consistent with the findings from subgroup analyses, cumulative meta-analyses showed that this observed beneficial effect became robust only when the treatment duration reached 1 year, and thereafter the effect tended to stabilize over time. Interestingly, this result is in accordance with both the anti-resorptive properties of bisphosphonates, which were only observed after at least 6 months of use,44 and the pharmacokinetics of bisphosphonates, by which, once entering bone, the drug sustains a stable anti-resorptive potency for several years.45 Given the global use of bisphosphonates among millions of women over the past 20 years, it can be concluded that adverse effects related to bisphosphonates are relatively low.46 Commonly reported side-effects are mild and include dyspepsia, nausea, and oesophagitis, whereas serious side-effects including osteonecrosis of the jaw, renal toxicity, and oesophageal cancer are rare. However, whether these serious side-effects are attributable to bisphosphonates alone remain inconclusive.26,47–49 Another concern is the long-term (>5 years) side-effects of bisphosphonates, and few studies have addressed this issue.50 Additional well-designed prospective studies are still needed to evaluate potential long-term adverse effects and determine whether the benefit of bisphosphonate therapy could outweigh possible disadvantages. Based on the current evidence, the benefits from bisphosphonate treatment for 1–5 years significantly outweigh the potential harm from these drugs. Unlike tamoxifen, which has previously been shown to be efficient in the primary and relapse prevention of BCa51–53 but has “exceptionally low” acceptance and prevalence of use for chemoprevention,51,54 bisphosphonates should have a substantial and extensive public health benefit for the prevention of primary BCa because bisphosphonates are already widely prescribed for the prevention and treatment of osteoporosis or cancer-induced bone loss10–13 and an increasing number of bisphosphonate users worldwide are expectable. For instance, approximately 40 million prescriptions for bisphosphonates are written every year in the United States alone.55 The current meta-analysis had some strengths. First, a large number of participants were enrolled in the studies included, which added validity to this analysis. Second, we performed extensive sensitivity analyses, including confounding RR, E-value and subgroup analyses, to test the robustness of our results. Finally, we performed subgroup analysis and meta-regression analysis to explore the potential causes of heterogeneity. However, several limitations of this study should be considered. First, various types of bisphosphonates were given to women in the individual studies, which could have contributed to heterogeneity; of these drugs, alendronate, clodronate, and zoledronic acid were the major bisphosphonates prescribed. Although the type of bisphosphonate used may have differing antitumor activities between nitrogen-containing bisphosphonates and non-nitrogen-containing bisphosphonates, as demonstrated by mechanistic studies in vitro and in vivo models,56,57 we could not explore this differential effect due to the lack of available data. Although currently unclear, researches on which bisphosphonates are better at reducing the risk of primary BCa than others are needed. Another potential limitation was the residual confounding factors that had not been taken into account in the original studies. This concern was assessed with E-values. Importantly, the E-values of the effect estimates are small, indicating that our findings are not very robust and incontrovertible. In this respect, RCTs are invaluable for controlling various biases including residual confounding biases. Additionally, given that results from some sensitivity analyses did not support this evidence of the association, our findings should be interpreted with caution.

Conclusion

In conclusion, this meta-analysis adds to the body of evidence for an association between bisphosphonates and a decreased risk of primary BCa. However, due to the lack of consistency between the results from observational studies and that from RCTs, future large-scale RCTs that focus on BCa primary prevention are needed.
  56 in total

1.  Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

Authors:  S Duval; R Tweedie
Journal:  Biometrics       Date:  2000-06       Impact factor: 2.571

2.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

3.  Induction of gammadelta T-lymphocyte effector functions by bisphosphonate zoledronic acid in cancer patients in vivo.

Authors:  Francesco Dieli; Nicola Gebbia; Fabrizio Poccia; Nadia Caccamo; Carla Montesano; Fabio Fulfaro; Carlo Arcara; Maria R Valerio; Serena Meraviglia; Caterina Di Sano; Guido Sireci; Alfredo Salerno
Journal:  Blood       Date:  2003-09-15       Impact factor: 22.113

Review 4.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

5.  Repeated intermittent low-dose therapy with zoledronic acid induces an early, sustained, and long-lasting decrease of peripheral vascular endothelial growth factor levels in cancer patients.

Authors:  Daniele Santini; Bruno Vincenzi; Sara Galluzzo; Fabrizio Battistoni; Laura Rocci; Olga Venditti; Gaia Schiavon; Silvia Angeletti; Federica Uzzalli; Michele Caraglia; Giordano Dicuonzo; Giuseppe Tonini
Journal:  Clin Cancer Res       Date:  2007-08-01       Impact factor: 12.531

Review 6.  Clinical practice. Postmenopausal osteoporosis.

Authors:  Clifford J Rosen
Journal:  N Engl J Med       Date:  2005-08-11       Impact factor: 91.245

Review 7.  Physical activity and endometrial cancer risk, a systematic review of current evidence.

Authors:  Dorien W Voskuil; Evelyn M Monninkhof; Sjoerd G Elias; Femke A Vlems; Flora E van Leeuwen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-04       Impact factor: 4.254

Review 8.  Discovery, clinical development, and therapeutic uses of bisphosphonates.

Authors:  Angelo A Licata
Journal:  Ann Pharmacother       Date:  2005-03-08       Impact factor: 3.154

9.  Once-yearly zoledronic acid for treatment of postmenopausal osteoporosis.

Authors:  Dennis M Black; Pierre D Delmas; Richard Eastell; Ian R Reid; Steven Boonen; Jane A Cauley; Felicia Cosman; Péter Lakatos; Ping Chung Leung; Zulema Man; Carlos Mautalen; Peter Mesenbrink; Huilin Hu; John Caminis; Karen Tong; Theresa Rosario-Jansen; Joel Krasnow; Trisha F Hue; Deborah Sellmeyer; Erik Fink Eriksen; Steven R Cummings
Journal:  N Engl J Med       Date:  2007-05-03       Impact factor: 91.245

Review 10.  Antitumor effects of bisphosphonates.

Authors:  Jonathan R Green
Journal:  Cancer       Date:  2003-02-01       Impact factor: 6.860

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  7 in total

1.  Bisphosphonate Use and Breast Cancer Risk among Women with Ductal Carcinoma In Situ.

Authors:  Christopher I Li; Meghan R Flanagan; Mei-Tzu C Tang; Peggy L Porter; Kathleen E Malone
Journal:  Cancer Res       Date:  2021-03-24       Impact factor: 12.701

2.  Endocrine Therapy-related Endocrinopathies-Biology, Prevalence and Implications for the Management of Breast Cancer.

Authors:  Kristy A Brown; Eleni Andreopoulou; Panagiota Andreopoulou
Journal:  Oncol Hematol Rev       Date:  2020-02-16

3.  Association of Antiosteoporotic Medication Bisphosphonates and Denosumab with Primary Breast Cancer: An Electronic Health Record Cohort Study.

Authors:  Alexander Stanoyevitch; Lei Zhang; Javier Sanz; Robert W Follett; Douglas S Bell
Journal:  Womens Health Rep (New Rochelle)       Date:  2021-08-16

Review 4.  Cancer Progress and Priorities: Breast Cancer.

Authors:  Serena C Houghton; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-05       Impact factor: 4.090

5.  Bisphosphonates and breast cancer survival: a meta-analysis and trial sequential analysis of 81508 participants from 23 prospective epidemiological studies.

Authors:  YuPeng Liu; Shu Zhao; YuXue Zhang; Justina Ucheojor Onwuka; QingYuan Zhang; XiaoDong Liu
Journal:  Aging (Albany NY)       Date:  2021-08-10       Impact factor: 5.682

6.  Histomorphometric and microarchitectural analysis of bone in metastatic breast cancer patients.

Authors:  A Beltran-Bless; M Murshed; M Zakikhani; I Kuchuk; N Bouganim; S Robertson; N Kekre; L Vandermeer; J Li; C L Addison; F Rauch; M Clemons; R Kremer
Journal:  Bone Rep       Date:  2021-10-22

7.  Bisphosphonates and risk of cancers: a systematic review and meta-analysis.

Authors:  Yu-Peng Liu; Cun-Xian Jia; Yuan-Yuan Li; Li-Jie Gao; Yu-Xue Zhang; Shu-Juan Liu; Shuo Cheng
Journal:  Br J Cancer       Date:  2020-09-09       Impact factor: 9.075

  7 in total

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