Literature DB >> 35117809

Selective estrogen receptor modulators in the prevention of breast cancer in premenopausal women: a review.

Paola Oceguera-Basurto1, Antonio Topete1, Antonio Oceguera-Villanueva2, Jorge Rivas-Carrillo1, Marco Paz-Davalos2, Antonio Quintero-Ramos1, Alicia Del Toro-Arreola1, Adrián Daneri-Navarro1.   

Abstract

The detection of premenopausal women at high risk of breast cancer is key to chemoprevention. Therapy with selective estrogen receptor modulators (SERMs) induces a significant antiproliferative effect in estrogen receptor (ER) positive breast cancer. This review was designed according the guidelines of the 2009 PRISMA statement. Searching different databases, including PubMed, MedlinePlus, PLoS One, Cochrane Breast Cancer Specialized Register, Clinical Trials.gov and American Society of Clinical Oncology. From 168 records screened, 15 full text articles were assessed for eligibility and only 7 studies met the inclusion criteria. Three of the studies included analyzed changes in Ki-67 expression, revealing weaker expression after treatment with acolbifene and raloxifene (P<0.001). Three studies also analyzed the breast volume by magnetic resonance imagining (MRI) and demonstrate a significant difference after 1 year with raloxifene treatment (P=0.0017). Moreover, a 20% reduction in breast density was observed after a 2-year treatment with tamoxifen in premenopausal women. SERMs reduce the risk of developing breast cancer. The studies reviewed here demonstrate the modulation of Ki-67 expression and changes in breast density, suggesting an important preventive role for this group of drugs in prevention for premenopausal women at high risk of developing breast cancer. 2020 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Breast cancer; Selective modulators of estrogen receptors (SERMs); premenopausal; prevention

Year:  2020        PMID: 35117809      PMCID: PMC8797886          DOI: 10.21037/tcr-19-1956

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

Breast cancer is the second most common type of cancer worldwide and the most common cancer in women (1). It principally affects post-menopausal women but when it is detected in younger patients, the prognosis is worse and a more aggressive behavior is observed. Indeed, higher grade, large tumors and lymph node involvement are more common in premenopausal patients (2). There have been numerous trials of breast cancer treatment in postmenopausal women, 6 articles talking about endocrine therapy were published in 2018 just from the American Society of Clinical Oncology ASCO (3), yet few trials have evaluated the long-term effects of preventive treatment in pre-menopausal women at risk of breast cancer. The Gail model defines a high risk as having at least one breast biopsy with the presence of pre-cancerous lesions, with a 5-year predicted breast cancer risk >1.66% over the rest of the population, or a first-degree relative with breast cancer (4). The pre-cancerous lesions can be found by mammography, eco-sonogram or biopsy; and some of them are carcinoma in situ, atypical and hyperplastic lesions (5). Atypical hyperplasia (AH), confers an absolute risk that can generally be estimated generally as 1% per year, although a wider disease spread further increases this risk. However, preventive medications reduce breast cancer risk by 70% in AH (6). Other lesions like in situ ductal carcinoma, which now represents 20–25% of all breast cancers, confer a 2% annual risk to develop an invasive disease (7). The increased risk of developing carcinoma associated with these lesions was associated with the ipsi- and contralateral breasts (8). On the other hand, the most frequent hereditary cause of breast cancer is hereditary breast and ovarian cancer syndrome (HBOC), which is caused by a germline mutation in either of the breast cancer genes (BRCA1 or BRCA2); which are considered to represent 20–25% of the total hereditary factors for breast cancer (9,10). Evidence indicates that specific mutations in other genes also confer increased breast cancer risk, including those in Ataxia-Telangiectasia mutated (ATM), Cadherine-1 (CDH1), Checkpoint kinase 2 (CHEK2), Nibrin gene (NBN), Neurofibromin-1 (NF1), Partner and localizer of BRCA2 (PALB2), Phosphatase and tensin homolog (PTEN), Serine/threonine kinase-11 (STK11), and Tumor protein-53 (TP53) also confer increased breast cancer risk (11). Another important factor associated with the risk of developing or breast cancer in pre- and post-menopausal women is breast density (12). Controlling breast density can aid risk management, both in a population screening context and in terms of the management and surveillance of women at increased risk of developing breast cancer. In particular, this parameter can help identify populations that might benefit from enhanced surveillance or primary prevention interventions (13). It is estimated that 11% of the breast cancer patients are pre-menopausal and more than 50% of them express hormone receptors, making them candidates to benefit from endocrine interventions (14). Amongst the endocrine interventions for hormone sensitive breast cancer, three main families exist: aromatase inhibitors (AI), selective estrogen receptor modulators (SERMs) and the recently developed family of selective estrogen receptor down-regulators (SERDs) (15). In terms of AIs, three of them can improve the efficacy of adjuvant endocrine treatment if used instead of, or sequentially, with tamoxifen, either non-steroidal (anastrozole and letrozole) or steroidal (exemestane) AIs. However, the use of AIs is associated with significant adverse events, such as arthralgia, bone pain and osteoporosis (16). The FATA-GIM3 study investigated the schedule and type of AIs to be used as adjuvant treatment for hormone receptor-positive early breast cancer. Accordingly, it was shown that 5-year treatment with AIs was not superior to a 2-year treatment with tamoxifen followed by a 3-year treatment with AIs (17). Regarding SERDs, fulvestrant is currently only SERD that has been approved for use in humans, a 7α-alkylsulphinyl analogue of 17β estradiol. Fulvestrant is a competitive inhibitor of estradiol binding to the ER, with a binding affinity of 89% (18). Fulvestrant is an oral SERD with a unique method of action. It is a highly specific inhibitor of ERs in the mammary gland, downregulating ERs through inhibition and degradation (19). In preclinical studies AZD9496 also proved to be a potent antagonist that degrades ERs. Recently, a phase I clinical trial of AZD9496 reported it was well tolerated and with an acceptable safety profile (20). GDC-0810, a novel non-steroid SERD, alters the conformation of ERα relative to that induced by currently approved therapeutic agents, suggesting a unique mechanism of action. GDC-0810 has robust in vitro and in vivo activity against a variety of human breast cancer cell lines and patient derived xenografts, including a tamoxifen-resistant model that harbors mutated ERα. Notably, GDC-0810 is currently being evaluated in Phase II clinical studies in women with ER-positive breast cancer (21). SERMs which exert estrogenic and antiestrogen actions, are the most frequently used for breast cancer (22). SERMs regulate transcriptional events in target tissues by acting as agonists and mimicking the effects of estrogen in some tissues. In other tissues, they may act as antagonists by binding to specific ligand binding domains of ERs and inhibiting their biological activity (23). The therapy with SERMs were associated with lower risk of primary invasive ER positive breast cancer (24). Although not all hormone receptor positive breast cancers benefit from treatment with SERMs, they are considered as a classic endocrine therapy for early breast cancers (25). SERMs have been seen to be capable of reducing mammary density and thus, to have breast cancer-preventing activity (26,27). A list of current applications of FDA-approved SERMs and clinical trials is presented in .
Table 1

FDA approved SERMs and clinical trials

SERMIndication
FDA approved SERMs
   TamoxifenReduction of breast cancer incidence in high-risk women (28,29). Treatment of metastatic breast cancer (30)
   RaloxifenePrevention/treatment of osteoporosis (31). Breast cancer prevention in post-menopausal women (32)
   ToremifeneTreatment of metastatic breast cancer in postmenopausal women (33)
   ClomipheneTreatment of ovulatory alterations (34)
   AnordrinAnti-fertility treatment (35)
   BazedoxifenePrevention/treatment of osteoporosis (36)
   BroparestrolDermatological use. Breast cancer treatment (37)
   CyclofenilPotential ER breast cancer treatment (38)
   LasofoxifenePrevention/treatment of osteoporosis. Treatment of vaginal atrophy (39)
   OrmeloxifeneOral contraceptive. Dysfunctional uterine bleeding treatment (40)
   OspemifeneDyspareunia treatment (41)
Clinical trials
   AcolbifenePhase III clinical trials for breast cancer treatment (42)
   EndoxifeneHormone sensitive breast cancer treatment (43)
   Afimoxifene (4 hydroxytamoxifen)Treatment of hyperplasia. Phase II clinical trial for breast cancer prevention (44)
   ElacestrantMenopausal symptoms. Hormone sensitive breast cancer treatment (45)
   EnclomipheneTreatment of male hypogonadism (46)
Several authors have reported the use of SERMs as preventive treatment for breast cancer. For instance, administration of tamoxifen (the first generation of SERMs) for 5 years in a primary prevention setting decreased the risk of invasive breast cancer by approximately 30–40% (47). In a randomized phase III trial with a long-term follow-up, and in comparison to a systemically untreated control group, adjuvant treatment with tamoxifen for 2 years, resulted in a long-term reduction of breast cancer–related mortality in pre-menopausal patients with ER-positive breast cancer (48). Also, the results of the STAR study revealed raloxifene (a second-generation SERM) produced a substantial decrease in breast cancer risk in post-menopausal patients, although its performance was inferior to tamoxifen (49). Nevertheless, as a preventive strategy, raloxifene has a better safety profile (lower risk of endometrial cancer, less thromboembolic effects and fewer cataracts and cataract surgeries) (50). In a phase II trial, tamoxifen was compared to raloxifene and a placebo in pre-menopausal women with ER-positive breast cancer (51). It was concluded that tumor cell proliferation in pre-menopausal breast cancer patients was not reduced by a low weekly dose of tamoxifen or a standard dose of raloxifene. However, extensive modulation of Ki-67 was observed in the tamoxifen arm of patients with high CYP2D6 expression. Likewise, discontinuation of tamoxifen-based therapy was associated with changes in mammary density, with a mean increase of 1.8% (52). Acolbifene, and its pro-drug EM-800 (a fourth generation SERM), have been associated with growth inhibition of tumor xenografts. The lack of estrogen agonist activity of EM-800 in the uterus and its proven activity in tamoxifen-resistant metastatic diseases, make EM-800 an attractive agent for the treatment and prevention of ER-positive breast cancer (53). Regarding the use of SERMs as preventive agents in breast cancer, a review published in 2009 compared the effectiveness and the efficacy of medications to reduce the risk of primary breast cancer in women at risk. The review concluded that the efficacy of tamoxifen citrate (RR 0.70; 95% CI, 0.59 to 0.82; 4 trials) and raloxifene (RR 0.44; 95% CI, 0.27 to 0.71; 2 trials) reduced the risk of invasive breast cancer in women compared to a placebo by 0.7% to 1.0% per year (54,55). Adverse effects caused by SERMs limit their general preventive use and there are several records of such events, including venous thromboembolic events, life-threatening pulmonary embolism and an increase of endometrial cancer (56). To date, the impact of SERMs in breast cancer prevention in pre-menopausal women at high risk of developing hormone sensitive breast cancer has yet to be thoroughly reviewed. Considering the multiple benefits associated with preventative therapy and the early management of hormone sensitive breast cancer, a systematic review of the current literature has been carried out to evaluate the preventive benefits of different SERMs in this scenario.

Aim

The aim of this review was to analyze the most recent and complete studies that evaluate the effectiveness and safety of SERMs in pre-menopausal women at high risk of developing hormone-sensitive breast cancer. We present the following article in accordance with the PRISMA reporting checklist (available at http://dx.doi.org/10.21037/tcr-19-1956).

Methods

This study was designed according to the guidelines of the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement (57).

Eligibility criteria

Original articles from 2008 to 2018 that reported randomized controlled trials that involve an intervention group in which SERMs were administered to pre-menopausal women at risk of developing hormone sensitive breast cancer were included in this study. Articles not fulfilling all these criteria were excluded.

Information sources

Different databases were searched for these articles, including PubMed, MedlinePlus, PLoS One, Cochrane Breast Cancer Specialized Register, Clinical Trials.gov, American Society of Clinical Oncology (58) symposium, European Society for Medical Oncology (ESMO). Relevant studies were obtained from Pubmed, MedlinePlus, PLoS One and Cochrane.

Search strategy

The titles and abstracts or the full articles in the PubMed (https://www.ncbi.nlm.nih.gov/pubmed/), Cochrane (http://www.cochranelibrary.com), PLoS One (http://journals.plos.org/plosone/) and MedlinePlus (http://www.ncbi.nlm.nih.gov/pubmed) databases were searched using the following search terms in titles and abstracts: risk, precancerous, prevention, BRCA, premenopausal, Selective Modulators of Estrogen Receptors (SERMs), AND breast cancer (a diagram of the search algorithm is shown in ). No language restriction was applied to the literature search and the search was limited to studies in humans. Two reviewers (ADN and AT) evaluated each article independently.
Figure 1

Search terms and algorithm.

Search terms and algorithm.

Study selection

Original studies were included if they met the following criteria: (I) interventional studies (employing either a parallel or cross-over design), post hoc analyses and observational studies (employing either a prospective or retrospective design); (II) studies of the impact of SERMs on women at risk of developing breast cancer; and (III) presentation of sufficient information on treatment, antigen Ki67, the development of breast lesions, the follow-up in each group or providing the net change in values. Exclusion criteria were: (I) lack of sufficient information on the baseline parameters, or of the follow-up to treatment, antigen Ki67 or the development of breast lesions.

Data collection

Eligible studies were reviewed and the following data were extracted: (I) first author’s name; (II) year of publication; (III) study site; (IV) study design; (V) inclusion criteria and underlying disease; (VI) number of participants; (VII) age, menarche status, parity; (VIII) baseline, follow-up, change in Ki67 values and development of breast lesions.

Risk of bias

A systematic assessment of the bias in the studies included was performed by applying the Cochrane criteria (59). The items used to assess each study were: adequacy of sequence generation, allocation concealment, blinding, drop-outs addressed (incomplete outcome data), selective outcome reporting, and other potential sources of bias. An evaluation of low, high or unclear risk of bias was assigned to each study, according to the recommendations of the Cochrane handbook. By labeling an item as “unclear”, it was attributed an unclear or unknown risk of bias. The risk of bias assessment was performed independently by two reviewers.

Data analysis

We analyzed the results of eligible trials to obtain more precise estimates of the major health outcomes. Standard deviations (SDs) of the mean difference were calculated using the following equation: where SD and SD are the standard deviations at the pre-treatment and post-treatment stages, respectively, and we assumed a correlation coefficient R=0.5. If the outcome measurements were reported as the median and interquartile range, mean and SD values were estimated using the method described by Hozo et al. (60). The risk ratios (rate ratio, hazard ratio, or relative risk) from each trial were estimated and used them as the effect measures (55,61).

Results

Flow chart and characteristics of the studies included

A flow chart of the selection process followed is shown in . The articles whose titles and/or abstracts were irrelevant in the context of this review were discarded through the initial screening. Among the 15 full-text articles initially considered to be eligible, 8 studies were excluded for the following reasons: they included post-menopausal patients and/or different treatments, they were published before 2008, they were reviews, and/or they dealt with advanced breast cancer.
Figure 2

Flow chart of the study selection process.

Flow chart of the study selection process. After the final assessment, only 7 studies met the study criteria and were included in the systematic review (51,53,62-66). Two studies involved the use of two treatments and as each treatment could be analyzed separately, these studies were divided to assess the treatment outcomes with different SERMs independently (51,63). A total of 1,139 participants were involved in the 7 studies examined, in which the number of participants ranged from 14 to 672. In accordance with the inclusion criteria, the studies were all published between 2008 and 2018, and they were conducted in the United States, Brazil, Canada and Italy. Other important characteristics of the studies included are summarized in .
Table 2

Demographic characteristics

AuthorYearCountryDesignDurationParticipantsAge, mean, SDSERMs
Fabian (53)2015USAPilot study6–8 months2542.8 (5.2)Acolbifene 20 mg per day
Lima (62)2012Brazil*22 days4025.94 (1.41)Raloxifene 60 mg per day
Lucato (Tam) (63)2015Brazil*22 days1622.31 (6.07)Tamoxifen 20 mg per day
Lucato (Ral) (63)2015Brazil*22 days1425.29 (6.51)Raloxifene 60 mg per day
Eng-Wong (64)2008USAPhase II trial2 years3743 (6.3)Raloxifene 60 mg per day
Bramwell (65)2010Canada**5 years67245 (6.7)Tam/placebo 20mg per day
Serrano (Tam) (51)2013Italy***6 weeks5044 (2.51)Tamoxifen 10 mg per week
Serrano (Ral) (51)2013Italy***6 weeks5046 (3.2)Raloxifene 60 mg per day
Decensi (66)2009Italy****2 years235UndefinedTamoxifen 5 mg per day

*, randomized, double-blind study; **, randomized placebo controlled study; ***, three-arm randomized double-blind clinical trial; ****, randomized, double-blind, placebo-controlled trial with a 2×2 factorial design.

*, randomized, double-blind study; **, randomized placebo controlled study; ***, three-arm randomized double-blind clinical trial; ****, randomized, double-blind, placebo-controlled trial with a 2×2 factorial design. The risk of bias () was presented on 2 of the 7 studies, because there was no control arm, only reporting the analysis of the treatment group. Nevertheless, the other 5 studies did not present any risk because of they were randomized, double blind type of studies.
Table 3

Risk of bias

AuthorRisk of bias
Fabian et al. (53)High
Lima et al. (62)Low
Lucato et al. (63)Low
Eng-Wong et al. (64)High
Bramwell et al. (65)Low
Serrano et al. (51)Low
Decensi et al. (66)Low
The Ki-67 antigen was analyzed before treatment and at the treatment’s end point in just 3 of the 7 studies, obtaining results that reached statistical significance (P<0.001) in only 2 studies. In the study by Lucato et al. (63), the Ki-67 antigen was not measured before treatment, yet the values obtained after treatment were not significantly different between the two groups. Likewise, the results presented in the study by Serrano et al. were also not significant (P=0.78), whereas the studies by Eng-Wong et al., Decensi et al. and Bramwell et al. (64-66) did not evaluate the Ki-67 antigen. In 3 of the selected studies, the breast density was evaluated in mammograms and no major differences in the relative mammograph density were observed following raloxifene therapy (64) when assessed by two different radiologists 1 (P=0.93, P=0.86) and 2 years (P=0.58, P=0.05) after the onset of treatment. However, MRI was also used to measure the breast volume in this study and important differences were evident after the 1st (P=0.0017) and 2nd year (P=0.0004) of treatment. In a study of acolbifene (53), no significant changes in the mammary density were observed after 9 months of treatment (P=0.067). However, a 20% reduction of the mammary density was detected after a 2-year treatment (P=0.003) when the effects of tamoxifen were evaluated (66: see ).
Table 4

Reducing risk factors

StudyKi-67 no treatmentKi-67 post treatmentPSD of the mean differenceMammographic densityVolume by MRI
Mean pretreatmentMean post-treatmentPretreatment to 1st yearPretreatment to 2nd year
Ki-67 expression
     Acolbifene (Fabian et al.) (53)6.6±4.82.1±1.9<0.0014.186
     Raloxifene (Lima et al.) (62)22.16±1.92.161±0.181<0.0011.905
     Tamoxifen (Lucato et al.) (63)Undefined2.02±1.090.205Undefined
     Raloxifene (Lucato et al.) (63)Undefined3.13±3.230.205Undefined
     Raloxifene (Eng-Wong et al.) (64)UndefinedUndefinedUndefinedUndefined
     Tamoxifen (Bramwell et al.) (65)UndefinedUndefinedUndefinedUndefined
     Tamoxifen (Serrano et al.) (51)18±4.4719.5±4.410.783.027
     Raloxifene (Serrano et al.) (51)21.5±4.1821±2.160.783.027
     Tamoxifen (Decensi et al.) (66)UndefinedUndefinedUndefinedUndefined
Breast density by imaging
     Raloxifene (64)39% [7–78]1 year: 1% (−3 to +5) P=0.86; 2 years: 1% (−2 to +5) P=0.05−17% (−28 to −9) P=0.0017−16% (−57 to 25) P=0.0004
     Acolbifene (53)35.8% (2.9–76.3)9 months: −11% (−5%±30%) P=0.067UndefinedUndefined
     Tamoxifen (Decensi) (66)49.9% (45.4–54.4)12 months: −9.9% (−16.2 to −3.6) 24 months: −16.2% (−22.6 to −9.8) P=0.003UndefinedUndefined

Values given as the mean ± standard deviation.

Values given as the mean ± standard deviation. Only 3 of the 7 studies reported the frequency of adverse events indicated by the patients. These events were mainly gynecological, such as hot flushes, irregular menses and amenorrhea, or neurological, such as headache, mood alterations and dizziness ().
Table 5

Adverse events

Adverse eventsAcolbifene (Fabian et al.) (53)Raloxifene (Eng-Wong et al.) (64)Tamoxifen (Bramwell et al.) (65)
Hot flushes16%57%82%
Irregular menses32%86%
Amenorrhea67%
Dizziness16%
Muscle cramps25%
Diarrhea16%
Myalgias64%17%
Vaginal discharge11%27%
Headache25%12%
Mood alterations32%
Breast pain25%

Discussion

To the best of our knowledge, this systematic review is the first to compile the evidence obtained from diverse studies that evaluate the use of SERMs in pre-menopausal patients with high breast cancer risk, including early breast cancer or in situ lesions. According to the National Comprehensive Cancer Network (NCCN) guidelines, there are 3 important agents that can reduce the risk of developing breast cancer. For pre-menopausal women at a high risk of developing breast cancer the gold standard therapy is tamoxifen, a daily dose of 20 mg for 5 years reducing risk by 49% to 86% (67). Data regarding the risk reduction associated with the use of raloxifene at a daily dose of 60 mg is limited to post-menopausal women and it is considered to be inappropriate for pre-menopausal women unless as a part of a clinical trial (68). The final agents indicated are AIs and specifically, exemestane and anastrozole, the use of both limited to post-menopausal women except when part of a clinical trial for pre-menopausal women. Indeed, to date the FDA has not approved the use of these drugs to reduce the risk of breast cancer (69,70). It is important to highlight that several studies have analyzed different combinations of drugs with hormonal therapy to treat hormone sensitive breast cancer. For example, the HOBOE-2 phase III trial that included 1,065 patients, analyzed the role of AIs and zoledronic acid as an adjuvant treatment of pre-menopausal endocrine-responsive breast cancer. The conclusion of this study was that in pre-menopausal early breast cancer patients, the combination of zolendronic acid and triptorelin is more effective than that of tamoxifen and triptorelin in terms of disease-free survival (DFS) (71). In another study (72), 694 patients were analyzed and the overall survival among post-menopausal patients with hormone receptor-positive metastatic breast cancer who had been randomly assigned to receive the AI anastrozole along with the SERD, fulvestrant, as a first-line therapy was compared to that of patients who received anastrozole alone. The authors concluded that the combination of fulvestrant and anastrozole was associated with enhanced long-term survival compared to anastrozole alone, despite the substantial crossover to fulvestrant after progression during therapy with anastrozole alone (72). The PALOMA 1 study analyzed the safety and efficacy of palbociclib (cyclin dependent kinase 4/6 inhibitor) in combination with letrozole as a first-line treatment in patients with advanced ER-positive, HER2-negative breast cancer. This phase II study concluded that the addition of palbociclib to letrozole significantly improved the progression-free survival (PFS) in women with advanced ER-positive and HER2-negative breast cancer (73). Subsequently, the phase III PALOMA 3 study was carried out to analyze the PFS of 521 patients, indicating that the median PFS was 9.5 months (95% CI) in the fulvestrant plus palbociclib group and 4.6 months in the fulvestrant plus placebo group (95% CI, P<0.0001). The conclusions were that palbociclib combined with fulvestrant resulted in a longer PFS than fulvestrant alone (74). All these studies are searching for the perfect combination of drugs that are likely to be effective against ER positive breast cancer and that could improve the overall survival of these patients. Nevertheless, SERMs are still the most commonly used hormone therapy, with tamoxifen and raloxifene the most commonly tested SERMs in trials, with acolbifene studied in only one trial. The efficacy of tamoxifen in lowering breast cancer risk was confirmed in a long-term follow-up of the main chemoprevention trials (75,76). Moreover, numerous preclinical studies have investigated the anti-proliferative effects of tamoxifen (77,78). Alternatively, raloxifene has been shown to be effective in breast cancer prevention, the most important effect of which was to decrease breast volume evaluated by MRI (79). Notably, it also has an overall better toxicity profile but weaker activity against intraepithelial lesions (80). Based on the known properties of SERMs, research into these drugs has become more intense in recent years, diversifying the types of patient studied and expanding the horizons of the population that can benefit from their use. Indeed, it is known that they can reduce ERα expression to levels similar to those found in non-neoplastic breast tissue, and decreased the mortality due to breast cancer up to 25–30% (81). In the studies selected here, modulation of the Ki-67 risk biomarker was often investigated as one of the main outcomes, not least because its reduction is associated with a superior recurrence-free survival and a prognostic factor to determine the patients’ status after chemotherapy in short and long-term follow-up (82). Two of the studies analyzed reported a significant change in the mean Ki-67 expression following treatment with acolbifene (53) and with raloxifene (62). Interestingly, while Ki-67 was not measured at the pre-treatment stage in the study carried out by Lucato et al. (63), its post-treatment expression was low and there were no significant differences between the raloxifene and tamoxifen therapies tested. In general, the results of the studies analyzed so far reveal that acolbifene, raloxifene and tamoxifen each produce an important anti-proliferative effect. Another important factor is the change in mammary density during treatment, which was evaluated in 3 of the studies selected. Interestingly, while 3 different treatments appeared to alter breast density, only tamoxifen produced a significant change in this parameter when the pre-treatment values were compared with those after 2 years of treatment (66), reducing breast density by 20%. It is important to note that although the selected articles had the same goal, to assess the beneficial effect of SERMs in pre-menopausal women with a high risk of developing breast cancer, different variables were measured. Thus, while some evaluated Ki-67 expression, others analyzed the breast density and its characteristics before and after treatment. This variability in the parameters measured could affect our true understanding of the effectiveness of SERMs as preventative agents. The correct identification of pre-menopausal patients at high risk of breast cancer is also an important aspect of the disease history that could potentially have a meaningful influence on the incidence and mortality rates. Despite the small body of studies interested in demonstrating beneficial effects of SERMs on the risk of ER positive breast cancer, it was possible to establish the importance of preventive treatment with SERMs in pre-menopausal women. This systematic review provides valuable information regarding the possibility of designing new prevention trials with SERMs, the results of which could help select an appropriate preventive treatment, with major benefits and minimal toxicity.

Conclusions

This systematic review found that adjuvant treatment with SERMs reduces the risk of developing breast cancer, modulating Ki-67 expression and breast density in pre-menopausal women with a high risk of developing early breast cancer. The data obtained also highlighted the need for more systematic trials of the therapeutic use of SERMs in pre-menopausal women with a high risk of breast cancer. Such studies should assess all the critical variables and factors that might influence the risk of developing breast cancer.
  67 in total

1.  Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P-2 trial.

Authors:  Victor G Vogel; Joseph P Costantino; D Lawrence Wickerham; Walter M Cronin; Reena S Cecchini; James N Atkins; Therese B Bevers; Louis Fehrenbacher; Eduardo R Pajon; James L Wade; André Robidoux; Richard G Margolese; Joan James; Scott M Lippman; Carolyn D Runowicz; Patricia A Ganz; Steven E Reis; Worta McCaskill-Stevens; Leslie G Ford; V Craig Jordan; Norman Wolmark
Journal:  JAMA       Date:  2006-06-05       Impact factor: 56.272

2.  Tamoxifen and breast cancer incidence among women with inherited mutations in BRCA1 and BRCA2: National Surgical Adjuvant Breast and Bowel Project (NSABP-P1) Breast Cancer Prevention Trial.

Authors:  M C King; S Wieand; K Hale; M Lee; T Walsh; K Owens; J Tait; L Ford; B K Dunn; J Costantino; L Wickerham; N Wolmark; B Fisher
Journal:  JAMA       Date:  2001-11-14       Impact factor: 56.272

3.  The selective estrogen receptor downregulator GDC-0810 is efficacious in diverse models of ER+ breast cancer.

Authors:  James D Joseph; Beatrice Darimont; Wei Zhou; Alfonso Arrazate; Amy Young; Ellen Ingalla; Kimberly Walter; Robert A Blake; Jim Nonomiya; Zhengyu Guan; Lorna Kategaya; Steven P Govek; Andiliy G Lai; Mehmet Kahraman; Dan Brigham; John Sensintaffar; Nhin Lu; Gang Shao; Jing Qian; Kate Grillot; Michael Moon; Rene Prudente; Eric Bischoff; Kyoung-Jin Lee; Celine Bonnefous; Karensa L Douglas; Jackaline D Julien; Johnny Y Nagasawa; Anna Aparicio; Josh Kaufman; Benjamin Haley; Jennifer M Giltnane; Ingrid E Wertz; Mark R Lackner; Michelle A Nannini; Deepak Sampath; Luis Schwarz; Henry Charles Manning; Mohammed Noor Tantawy; Carlos L Arteaga; Richard A Heyman; Peter J Rix; Lori Friedman; Nicholas D Smith; Ciara Metcalfe; Jeffrey H Hager
Journal:  Elife       Date:  2016-07-13       Impact factor: 8.140

4.  When are breast cancer patients at highest risk of venous thromboembolism? A cohort study using English health care data.

Authors:  Alex J Walker; Joe West; Tim R Card; Colin Crooks; Cliona C Kirwan; Matthew J Grainge
Journal:  Blood       Date:  2015-11-16       Impact factor: 22.113

5.  A randomized placebo-controlled study of tamoxifen after adjuvant chemotherapy in premenopausal women with early breast cancer (National Cancer Institute of Canada--Clinical Trials Group Trial, MA.12).

Authors:  V H C Bramwell; K I Pritchard; D Tu; K Tonkin; H Vachhrajani; T A Vandenberg; J Robert; A Arnold; S E O'Reilly; B Graham; L Shepherd
Journal:  Ann Oncol       Date:  2009-07-23       Impact factor: 32.976

6.  Use of raloxifene and tamoxifen by breast cancer risk level in a Medicare-eligible cohort.

Authors:  Paul F Pinsky; Eric Miller; Brandy Heckman-Stoddard; Lori Minasian
Journal:  Am J Obstet Gynecol       Date:  2018-04-07       Impact factor: 8.661

Review 7.  Decision making for breast cancer prevention among women at elevated risk.

Authors:  Tasleem J Padamsee; Celia E Wills; Lisa D Yee; Electra D Paskett
Journal:  Breast Cancer Res       Date:  2017-03-24       Impact factor: 6.466

8.  Prognostic Significance of Reduction in Ki67 Index After Neoadjuvant Chemotherapy in Patients With Breast Cancer in Kerman Between 2009 And 2014.

Authors:  Vahid Moazed; Elham Jafari; Behjat Kalantari Khandani; Ali Nemati; Alale Roozdar; Seyyed Amir Ben Razavi
Journal:  Iran J Pathol       Date:  2018

Review 9.  Fulvestrant: an oestrogen receptor antagonist with a novel mechanism of action.

Authors:  C K Osborne; A Wakeling; R I Nicholson
Journal:  Br J Cancer       Date:  2004-03       Impact factor: 7.640

10.  Mammographic density and breast cancer risk in breast screening assessment cases and women with a family history of breast cancer.

Authors:  Stephen W Duffy; Oliver W E Morrish; Prue C Allgood; Richard Black; Maureen G C Gillan; Paula Willsher; Julie Cooke; Karen A Duncan; Michael J Michell; Hilary M Dobson; Roberta Maroni; Yit Y Lim; Hema N Purushothaman; Tamara Suaris; Susan M Astley; Kenneth C Young; Lorraine Tucker; Fiona J Gilbert
Journal:  Eur J Cancer       Date:  2017-11-27       Impact factor: 9.162

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.