Literature DB >> 23639488

Selective oestrogen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data.

Jack Cuzick1, Ivana Sestak, Bernardo Bonanni, Joseph P Costantino, Steve Cummings, Andrea DeCensi, Mitch Dowsett, John F Forbes, Leslie Ford, Andrea Z LaCroix, John Mershon, Bruce H Mitlak, Trevor Powles, Umberto Veronesi, Victor Vogel, D Lawrence Wickerham.   

Abstract

BACKGROUND: Tamoxifen and raloxifene reduce the risk of breast cancer in women at elevated risk of disease, but the duration of the effect is unknown. We assessed the effectiveness of selective oestrogen receptor modulators (SERMs) on breast cancer incidence.
METHODS: We did a meta-analysis with individual participant data from nine prevention trials comparing four selective oestrogen receptor modulators (SERMs; tamoxifen, raloxifene, arzoxifene, and lasofoxifene) with placebo, or in one study with tamoxifen. Our primary endpoint was incidence of all breast cancer (including ductal carcinoma in situ) during a 10 year follow-up period. Analysis was by intention to treat.
RESULTS: We analysed data for 83,399 women with 306,617 women-years of follow-up. Median follow-up was 65 months (IQR 54-93). Overall, we noted a 38% reduction (hazard ratio [HR] 0·62, 95% CI 0·56-0·69) in breast cancer incidence, and 42 women would need to be treated to prevent one breast cancer event in the first 10 years of follow-up. The reduction was larger in the first 5 years of follow-up than in years 5-10 (42%, HR 0·58, 0·51-0·66; p<0·0001 vs 25%, 0·75, 0·61-0·93; p=0·007), but we noted no heterogeneity between time periods. Thromboembolic events were significantly increased with all SERMs (odds ratio 1·73, 95% CI 1·47-2·05; p<0·0001). We recorded a significant reduction of 34% in vertebral fractures (0·66, 0·59-0·73), but only a small effect for non-vertebral fractures (0·93, 0·87-0·99).
INTERPRETATION: For all SERMs, incidence of invasive oestrogen (ER)-positive breast cancer was reduced both during treatment and for at least 5 years after completion. Similar to other preventive interventions, careful consideration of risks and benefits is needed to identify women who are most likely to benefit from these drugs. FUNDING: Cancer Research UK.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23639488      PMCID: PMC3671272          DOI: 10.1016/S0140-6736(13)60140-3

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


Introduction

Large reductions in contralateral tumours shown in adjuvant trials with tamoxifen suggest that this drug could prevent breast cancer. Studies of other selective oestrogen receptor modulators (SERMs) in trials designed to prevent fractures in women with osteoporosis have also suggested a preventive effect on breast cancer. Although SERMs have different chemical structures, which can affect their specific activities, they all work by binding to the oestrogen receptor and inhibiting the stimulus for cell division. A comprehensive review of the mechanisms of action of SERMs has been published. An earlier meta-analysis summarised the early follow-up results of the tamoxifen and raloxifene prevention trials. The results showed that tamoxifen significantly reduced the risk of oestrogen receptor (ER)-positive breast cancer by 48%, but no effect was noted for ER-negative tumours. Here, we update previous meta-analyses, with additional data for short-term follow-up of lasofoxifene and arzoxifene, to assess the effect of SERMs on breast cancer incidence.

Methods

Study selection

We searched PubMed with the keywords breast cancer, prevention, selective oestrogen receptor modulator (or SERM), and chemoprevention. Table 1 provides details of the included breast cancer prevention trials. We identified nine randomised trials that compared SERMs with placebo or another drug in women without breast cancer, and had at least 2 years of follow-up. Four trials assessed 20 mg per day tamoxifen versus placebo for at least 5 years in healthy women who were mostly at increased risk of breast cancer. Two trials investigated raloxifene versus placebo in postmenopausal women who had either osteoporosis, or had risk factors for or established coronary heart disease. A third trial compared raloxifene to tamoxifen in women at increased risk of developing breast cancer. One trial compared lasofoxifene at two different doses with placebo in postmenopausal women with osteoporosis. Finally, one trial compared arzoxifene with placebo in postmenopausal women with osteoporosis. The trials are summarised in table 1.
Table 1

Details of breast cancer prevention trials

NRecruitment periodTreatment groups and daily doseTreatment duration (years)Entry criteriaPresent statusMedian follow-up (months)
Marsden5,624711986–96Placebo (1233)Tamoxifen 20 mg (1238)5–8High risk, family historyBlinded, further follow-up171·6 (153·9–184·0)
IBIS-I7,871091992–2001Placebo (3566)Tamoxifen 20 mg (3573)5Greater than two times relative riskBlinded, further follow-up96 (80·1–117·1)
NSABP-P-19,1013 2051992–97Placebo (6707)Tamoxifen 20 mg (6681)5>1·6% 5 year riskUnblinded, no follow-up57·6 (35·4–64·9)
Italian11,1254081992–97Placebo (2708)Tamoxifen 20 mg (2700)5Normal risk, women with hysterectomyUnblinded, further follow-up139·6 (122·0–146·1)
MORE13/CORE14*7705/65111994–98/ 1998–2002Placebo (2576) Raloxifene 60 mg (2557)/Placebo (2576) Raloxifene 120 mg (2572)4/8Normal risk, postmenopausal women with osteoporosisUnblinded, no follow-up71·3 (47·1–95·4)
RUTH1510 1011998–2000Placebo (5057)Raloxifene 60 mg (5044)5Normal risk, postmenopausal women with established or risk of CHDUnblinded, no follow-up66·7 (60·1–72·3)
STAR16,1719 4901999–2004Raloxifene 60 mg (9875)Tamoxifen 20 mg (9872)5>1·6% 5 year risk, postmenopausal womenUnblinded, no follow-up81 (60·8–96.6)
PEARL18,1988562001–07Placebo (2852)Lasofoxifene 0·50 mg (2852)Lasofoxifene 0·25 mg (2852)5Normal risk, postmenopausal women with osteoporosisBlinded, no follow-up59·6 (58·8–60·1)
GENERATIONS20,2193542004–09Placebo (4678)Arzoxifene 20 mg (4676)4Normal risk, postmenopausal with low BMD or osteoporosisUnblinded, no follow-up54·3 (28·3–56·1)

Data in parenthesis are number of randomised participants. CHD=coronary heart disease. BMD=bone mineral density.

The CORE trial was done in a subset of women originally enrolled in the MORE trial.

Statistical analysis

We obtained individual participant data directly from the trial investigators. Comparisons were on an intention-to-treat basis. We assessed fixed-effects and random-effects models. Our primary endpoint was incidence of all breast cancer (including ductal carcinoma in situ) during 10 years of follow-up. Secondary endpoints were incidence in years 0–5 and years 5–10, and all invasive ER-positive or ER-negative cancers, and ductal carcinoma in situ. Other predefined secondary endpoints were incidence of other cancers, venous thromboembolic events, cardiovascular events, fractures, cataract, and all-cause mortality. For the fixed-effects models, we computed log hazard ratios (HRs) and their variance separately for each trial and then used the inverse variance-weighted method to calculate a fixed-effect estimate of the overall log HR and its variance. For indirect comparisons between raloxifene and placebo in the National Surgical Adjuvant Breast and Bowel Project (NSABP) Study of Tamoxifen and Raloxifene (STAR) trial, we calculated the log HR for the intervention between raloxifene and placebo by subtracting the ratio for the direct comparison between raloxifene and tamoxifen by that for the direct comparison between tamoxifen and placebo for the other trials. We computed corresponding standard errors in a similar way. We included the STAR trial only for the raloxifene effects, and results for the overall effect do not include data from that trial. We explored random-effects models, which account for variability between trials, and assessed trial heterogeneity with Q statistics and I2 estimates. Data are plotted as the proportion of women with the event as a function of follow-up time with Kaplan-Meier methods. To compare outcomes between tamoxifen and raloxifene we computed the ratio of HRs for comparisons of each drug with placebo, then added the direct comparison from the STAR trial as a separate stratum to obtain a summary hazard ratio. For analysis we used STATA (version 11.2) with the meta command. Results are presented as HRs with 95% CIs and two-sided p-values.

Role of the funding source

Neither Cancer Research UK nor the funding sources for the individual studies had a role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author and IS had full access to all the data in the study, and all authors had access to analyses. All authors read and approved the final decision to submit for publication.

Results

We included nine trials with 83 399 participants and 306 617 women-years of follow-up (table 1). Median follow-up was 65 months (IQR 54–93). Figure 1 shows Kaplan-Meier curves for all breast cancers and invasive ER-positive breast cancer for all trials except the STAR trial. Annual rates of breast cancer incidence varied substantially between trials (table 2), probably because of different entry criteria. The overall reduction in all breast cancer (including ductal carcinoma in situ) was 38% (p<0·0001; table 2), with an estimated 10 year cumulative incidence of 6·3% in the control groups and 4·2% in the SERM groups. We noted the reduction in both years 0–5 of follow-up (42%, p<0·0001) and years 5–10 (25%, p=0·007; table 2 and figure 2). Despite the smaller effect in years 5–10, there was no evidence of heterogeneity between trials (p=0·3). Random-effects models produced similar HRs to those for the fixed-effects models, but larger 95% CIs (table 2).
Figure 1

Cumulative incidence for all breast cancer (including ductal carcinoma in situ) and all ER-positive invasive cancers in years 0–10 according to treatment allocation

SERM=selective oestrogen receptor modulator. ER=oestrogen receptor.

Table 2

Breast cancer incidence in the chemoprevention trials

Overall*Annual rates per 1000HR (95% CI)ER-positive invasiveHR (95% CI)ER-negative invasiveHR (95% CI)DCISHR (95% CI)
Tamoxifen trials
Marsden96 vs 1146·40·87 (0·63-1·21)51 vs 830·66 (0·44-0·99)25 vs 171·66 (0·81-3·40)14 vs 91·40 (0·44-4·40)
IBIS I143 vs 1986·70·72 (0·58-0·90)88 vs 1310·69 (0·52-0·90)36 vs 380·97 (0·62-1·54)16 vs 270·52 (0·27-0·99)
NSABP-P-1130 vs 2486·10·52 (0·42-0·64)44 vs 1340·33 (0·23-0·46)39 vs 311·26 (0·78-2·02)38 vs 700·54 (0·36-0·80)
Italian62 vs 744·20·83 (0·58-1·19)36 vs 480·73 (0·45-1·17)16 vs 170·87 (0·43-1·79)9 vs 61·80 (0·60-5·38)
Total (0–10 years)431 vs 634..0·67 (0·59-0·76)219 vs 3960·56 (0·47-0·67)116 vs 1031·13 (0·86-1·49)77 vs 1120·72 (0·57-0·92)
Total (0–5 years)256 vs 409..0·62 (0·53-0·73)121 vs 2350·51 (0·41-0·64)78 vs 761·03 (0·75-1·41)47 vs 830·56 (0·39-0·81)
Total (5–10 years)175 vs 225..0·78 (0·62-0·97)98 vs 1610·63 (0·47-0·83)38 vs 271·55 (0·88-2·72)30 vs 290·87 (0·49-1·57)
Raloxifene trials
MORE/CORE57 vs 654·20·42 (0·29-0·60)22 vs 440·24 (0·15-0·40)15 vs 71·06 (0·43-2·59)13 vs 70·91 (0·36-2·28)
RUTH52 vs 764·20·67 (0·47-0·96)25 vs 550·45 (0·28-0·72)13 vs 91·44 (0·61-3·63)11 vs 52·17 (0·75-6·25)
STAR (tamoxifen vs raloxifene)358 vs 4475·90·81 (0·70-0·93)182 vs 2210·83 (0·69-1·02)60 vs 700·79 (0·56-1·11)111 vs 1370·82 (0·64-1·05)
Total (0–10 years)467 vs 588..0·66 (0·55-0·80)229 vs 3200·44 (0·34-0·58)88 vs 931·37 (0·96-1·95)135 vs 1491·07 (0·68-1·68)
Total (0–5 years)327 vs 421..0·63 (0·51-0·79)168 vs 2240·40 (0·29-0·56)62 vs 711·27 (0·83-1·95)86 vs 1081·08 (0·60-1·96)
Total (5–10 years)140 vs 167..0·84 (0·51-1·27)61 vs 960·72 (0·49-1·06)26 vs 221·70 (0·84-3·47)49 vs 410·88 (0·45-1·74)
PEARL
0·25 mg20 vs 242·00·82 (0·45-1·49)9 vs 180·49 (0·22-1·10)7 vs 22·83 (0·57-14·02)4 vs 40·99 (0·25-3·99)
0·5 mg5 vs 242·00·21 (0·08-0·55)3 vs 180·17 (0·05-0·56)0 vs 2..3 vs 40·50 (0·09-2·73)
GENERATIONS22 vs 533·20·42 (0·25-0·68)9 vs 300·30 (0·14-0·63)10 vs 101·01 (0·42-2·41)3 vs 100·30 (0·08-1·09)
All trials (fixed effect; random effect)§
Total (0–10 years)587 vs 8524·70·62 (0·56-0·69); 0·61 (0·49-0·75)287 vs 5430·49 (0·42-0·57); 0·44 (0·33-0·60)160 vs 1311·14 (0·90-1·45) 1·14 (0·90-1·45)110 vs 1380·69 (0·53-0·90); 0·79 (0·53-1·19)
Total (0–5 years)376 vs 5944·60·58 (0·51-0·66); 0·58 (0·47-0·73)174 vs 3600·45 (0·38-0·54); 0·42 (0·29-0·61)111 vs 901·05 (0·80-1·39); 1·05 (0·80-1·39)73 vs 1070·66 (0·48-0·90); 0·73 (0·47-1·14)
Total (5–10 years)211 vs 2584·90·75 (0·61-0·93); 0·75 (0·59-0·94)113 vs 1830·58 (0·45-0·76); 0·58 (0·45-0·76)49 vs 321·66 (0·98-2·81) 1·66 (0·98-2·81)37 vs 310·94 (0·53-1·66); 0·94 (0·53-1·66)

HR=hazard ratio. ER=oestrogen receptor. DCIS=ductal carcinoma in situ. Data are for selective oestrogen receptor modulator versus vs placebo, unless otherwise indicated

All cancers (including DCIS) and those with unknown receptor status.

In control group.

STAR data not included for overall effect.

STAR data not excluded for overall effect.

Figure 2

Annual hazard rate for all breast cancers (including ductal carcinoma in situ) and invasive ER-positive breast cancer in years 0–10 with fixed-effects models

ER=oestrogen receptor. SERM=selective oestrogen receptor modulator.

Overall, the frequency of invasive ER-positive cancer was reduced from 4·0% to 2·1% (p<0·0001; table 2). This reduction was apparent in years 0–5 (p<0·0001) and in years 5–10 (p<0·0001; table 2 and figure 2). The number needed to treat to prevent one diagnosis of breast cancer in the first 10 years was 42; when restricted to invasive ER-positive breast cancer the number was 53. Although all trials showed a reduction in breast cancer incidence, we noted substantial heterogeneity between trials in the size of the effect for all breast cancers and invasive ER-positive cancers (figure 3), and for invasive cancers. We noted a non-significant increase in invasive ER-negative breast cancers (p=0·3; table 2). The incidence of ductal carcinoma in situ was significantly reduced overall by 31% (p=0·006; table 2). We noted a 38% reduction in incidence in the tamoxifen trials, but no effect for raloxifene; however, significant heterogeneity was shown between trials. Little information was available for the effect of lasofoxifene and arzoxifene on ductal carcinoma in situ.
Figure 3

All breast cancers, invasive breast cancer, and DCIS in years 0–10

ER=oestrogen receptor. DCIS=ductal carcinoma in situ. *Adjusted by overall tamoxifen effect to give raloxifene versus placebo comparisons. † STAR data not included in comparisons. ‡Data for ER-invasive cancer are pooled.

For tamoxifen trials, we noted a significant reduction of 33% (p<0·0001) in all breast cancers compared with placebo (table 2 and figure 3). This reduction was mainly due to a large effect on ER-positive invasive breast cancer, for which we noted a reduction of 44% (p<0·0001; table 2) and a significant reduction in DCIS (p=0·009; table 2), but a non-significant increase in ER-negative tumours was recorded (p=0·4; table 2). Significant heterogeneity was shown between trials for all breast cancers (p=0·02) and invasive ER-positive breast cancers (p=0·03). For raloxifene trials, we noted a significant reduction in incidence of all breast cancer (p<0·0001; table 2) due to a reduction in invasive ER-positive breast cancers, with a non-significant increase in the incidence of invasive ER-negative breast cancers and no effect on DCIS (table 2 and figure 3). When we compared raloxifene with tamoxifen, the only significant difference in effect size was a greater effect for tamoxifen in DCIS (HR 0·78, 95% CI 0·61–0·99; p=0·04). The PEARL and GENERATIONS trials had follow-up results for only years 0–5. All breast cancers (p<0·0001) and ER-positive cancers (p<0·0001; table 2) were significantly reduced with 0·5 mg per day of lasofoxifene compared with placebo, whereas only a small effect was noted for women receiving 0·25 mg per day (table 2 and figure 3). We noted a non-significant increase in incidence for invasive ER-negative breast cancer (HR 1·43, 95% CI 0·43–1·66) and a non-significant decrease for ductal carcinoma in situ (0·76, 0·26–2·21; p=0·6) when both treatment groups were combined. Arzoxifene reduced all breast cancer occurrence by 58% (p=0·001; table 2). Invasive ER-positive breast cancers were reduced by 70% (p=0·002), whereas no effect was noted for invasive ER-negative breast cancers (p=0·9; table 2 and figure 3). Incidence of ductal carcinoma in situ was reduced, but not substantially so (p=0·07; table 2). No trial was designed to look at mortality as an endpoint, and no effect of any SERM was reported for all causes of death (table 2). Data for cause-specific mortality was not available for most of the non-tamoxifen trials. No effect on breast cancer death was reported in the tamoxifen trials on the basis of a total of 59 deaths (table 2). Table 3 and figure 4 present major events for each trial. Overall, women receiving a SERM had a higher rate of endometrial cancer than did those given placebo (p=0·007; table 3) but the increase was confined to the first 5 years of follow-up (HR 1·64, 1·14–2·36; p=0·007) and was not apparent during years 5–10, the period after treatment (0·85, 0·38–1·89; p=0·7). The effect seemed to be limited to the tamoxifen trials (2·18, 1·39–3·42; p=0·001) and no increase was shown in the raloxifene trials (1·09, 0·74–1·62; p=0·7). Too few endometrial cancers were reported with lasofoxifene to make a meaningful interpretation, but an increase of 2·3 times was noted with arzoxifene (2·26, 0·70–7·32; p=0·2).
Table 3

Major non-breast cancer events in the prevention trials

Endometrial cancerAll other cancer*Any deathBreast cancer deathVenous thrombolic eventsCardiovascular eventsAll fracturesNon-vertebral fracturesVertebral fracturesCataracts
Marsden12 vs 555 vs 6054 vs 5412 vs 9............
IBIS-I19 vs 11110 vs 11365 vs 5510 vs 1265 vs 4340 vs 38229 vs 252221 vs 2448 vs 876 vs 70
NSABP-P-136 vs 15101 vs 10359 vs 714 vs 655 vs 2990 vs 82502 vs 539480 vs 50922 vs 30578 vs 513
Italian..106 vs 9136 vs 382 vs 211 vs 1014 vs 10........
MORE/CORE6 vs 8112 vs 13281 vs 84..47 vs 2582 vs 78353 vs 450214 vs 225139 vs 225275 vs 280
RUTH21 vs 17204 vs 203548 vs 5852 vs 0106 vs 73487 vs 481529 vs 591470 vs. 49959 vs 92570 vs 561
STAR§ (raloxifene vs tamoxifen)37 vs 65354 vs 323202 vs 2364 vs 11154 vs 202233 vs 2201272 vs 13641195 vs 129965 vs 77603 vs 739
PEARL (0·5 mg vs 0·25 mg vs placebo)2 vs 2vs 325 vs 20vs 2292 vs 73vs 65..48 vs 37vs 1847 vs 54vs 76359 vs 422vs 508203 vs 233vs 246156 vs 189vs 262320 vs 317vs 330
GENERATIONS9 vs 474 vs 75103 vs 98..43 vs 1771 vs 64426 vs 508316 vs 327110 vs 181382 vs 400
All events105 vs 63787 vs 7991038 vs 105030 vs 29375 vs 215831 vs 8292398 vs 28481904 vs 2050494 vs 7982201 vs 2154
HR or OR (95% CI)HR 1·56 (1·13–2·14)HR 0·98 (0·89–1·08)HR 0·98 (0·90–1·06)HR 1·03 (0·55–1·92)OR 1·73 (1·47–2·05)OR 0·99 (0·91–1·09)OR 0·85 (0·80–0·89)OR 0·93 (0·87–0·99)OR 0·66 (0·59–0·73)OR 1·01 (0·95–1·06)

Data are number of patients for selective oestrogen receptor modulator versus vs placebo, unless otherwise indicated. HR=hazard ratio. OR=odds ratio

Excluding endometrial cancer.

Including deep vein thrombosis, pulmonary embolism, retinal thrombosis; excluding superficial thrombosis.

Including myocardial infarction, cerebrovascular accident, and transient ischaemic accident.

STAR data not included for overall effect.

Figure 4

Forest plots for adverse events

(A) Endometrial cancer, other cancer, venous thromboembolic events, and cardiac or stroke events. (B) All fractures, vertebral fractures and non-vertebral fractures. *Adjusted by overall tamoxifen effect to give raloxifene versus placebo comparisons. † STAR data not included in comparisons. ‡Data are pooled.

1586 cancers other than breast or endometrial cancer were reported. These cancers were evenly distributed between the treatment groups (p=0·8; table 3) and no heterogeneity between trials was noted (p=0·8). A non-significant reduction was noted for ovarian cancer (OR 0·84, 95% CI 0·60–1·19; p=0·3) and there was no effect on colorectal cancer (1·04, 0·85–1·27; p=0·7). Venous thromboembolic events were significantly increased overall (p<0·0001; table 3 and figure 4). We noted similar ORs in the tamoxifen and raloxifene trials (1·60, 1·21–2·12; p=0·001 vs 1·45, 1·18–1·76; p<0·0001; figure 4), but the rate was higher for arzoxifene (2·55, 1·45–4·47; p=0·001) and lasofoxifene (ORpooled 2·38, 1·43–3·97; p=0·001), and no significant heterogeneity was noted between trials. Overall, no effect of SERMs was noted for myocardial infarction, stroke, or transient ischaemic attacks, and there was no evidence for heterogeneity, except for a significant reduction in strokes for lasofoxifene (OR 0·67, 0·48–0·92; p=0·01; figure 4). All fractures were significantly reduced by SERMs (p<0·001; table 3 and figure 4). This reduction was mainly driven by a decrease in the PEARL trial (0·73, 0·66–0·81; p<0·0001), but decreases were also noted in the raloxifene and GENERATIONS trials (figure 4). By contrast, no effect was seen with tamoxifen (0·92, 0·83–1·02). We noted a greater effect when we restricted findings to those for vertebral fractures; however, such fractures were rare in the tamoxifen and STAR trials, and not recorded in the Italian trial, and only well documented in the osteoporosis trials in which follow-up spinal radiographs were done (MORE and CORE, PEARL, and GENERATIONS trials). When restricted to these trials, we noted a 41% reduction in vertebral fractures (0·59, 0·52–0·67; p<0·0001). We recorded a small effect for non-vertebral fractures overall (table 3), which seemed to be greatly affected by the 0·5 mg dose of lasofoxifene (OR 0·81, 0·67–0·98; figure 4); however, no heterogeneity was shown (p=0·8). Overall cataracts were evenly distributed between treatment groups (table 3), but a small increase was observed with tamoxifen (1·10, 1·01–1·21; p=0·04).

Discussion

This report is the only comprehensive analysis of all the SERM prevention trials, and use of individual participant data enabled us to undertake various analyses that were not done in the published reports. We provide here a substantial update of our previous report, which was limited to results for short term follow-up and only assessed tamoxifen and raloxifene. Our findings clearly show that SERMs significantly reduce the risk of all breast cancer in high-risk and average-risk women who do not have the disease, which is due to a reduction in ER-positive invasive breast cancer. No effect was noted for ER-negative breast cancers, for which new approaches are still needed. All SERMs except raloxifene had an effect on ductal carcinoma in situ. Benefits were noted during the active treatment period, but also after treatment was completed. The reduction in ER-positive invasive tumours in years 5–10 of follow-up was largely restricted to the tamoxifen and raloxifene trials. Long-term follow-up is needed to establish the full duration of protection for these drugs and to identify whether any carryover effect will be shown for lasofoxifene and arzoxifene. Whether the non-significant increase in ER-negative invasive tumours is a chance finding or biologically relevant is unclear. For example, some of these tumours could have arisen as ER-positive cancers in the absence of a SERM, and treatment might have delayed their emergence, but they developed endocrine resistance, eventually escaped control, and emerged as ER-negative tumours. No evidence that SERMs had an effect on breast-cancer-specific or overall mortality was noted. In view of the continuing effect on breast cancer incidence in years 5–10, further follow-up will be needed to establish whether there is a reduction in deaths from breast cancer. All drugs increased venous thromboembolic events, but only tamoxifen showed a clear increase in endometrial cancers. No other type of cancer seemed to be affected by SERM use. Despite a 10–20% reduction in LDL cholesterol with SERMs, no reduction in cardiovascular disease was noted. The large amount of extended follow-up available for this analysis has provided a clear overview of the benefits and harms of these drugs. The higher (0·5 mg per day) dose of lasofoxifene is a promising candidate for prevention, because it not only had a large effect on breast cancer incidence but also showed benefits for stroke, cardiac events, and vertebral fractures, with no increase in endometrial cancer. Further studies on this compound should be a priority for prevention research. Furthermore, the direct comparison of tamoxifen with raloxifene in the STAR trial has shown that raloxifene is less effective than tamoxifen, but has fewer side-effects. Limitations of our analysis are that the GENERATIONS and PEARL trials, and one of the raloxifene trials, were done on average-risk women with osteoporosis. Longer follow-up is also desirable for the lasofoxifene and arzoxifene trials. Only tamoxifen has been assessed in premenopausal women, in whom it is the only drug with proven effectiveness. New prevention trials with aromatase inhibitors are promising, but these drugs are only suitable for postmenopausal women. Several adjuvant studies have shown an effect in new contralateral tumours, and one trial in the preventive setting has shown a very large effect on short-term incidence for exemestane. Results from another prevention trial of anastrozole are awaited, and a comparison of aromatase inhibitors with SERMs might be needed when long-term data for aromatase inhibitors are available. The duration of the SERM benefit on breast cancer incidence is unknown, but this analysis confirms that benefits last for at least 5 years after treatment completion. Tamoxifen-specific adverse events (eg, thromboembolic events and endometrial cancer) are largely confined to the active treatment period and are few after treatment has ceased. However, similar to other preventive interventions, including oral contraceptives and prophylactic cardiovascular medicines, careful consideration of potential benefits and harms during the decision making process is needed to identify women most likely to benefit. Improved benefit–harm ratios are most likely to be achieved by enhanced targeting of women at high risk of ER-positive postmenopausal breast cancer. As such, use of mammographic breast density and panels of single nucleotide polymorphisms, each of which individually only identify a modest increase of risk, seem to be the most likely new risk factors. Despite their effectiveness, SERMs have not been widely accepted as breast cancer preventive drugs by high-risk women and their primary care physicians, mainly because of concern about toxic effects and a perceived unfavourable balance between benefits and harms. Unfortunately, at the present time, none of these drugs are being actively marketed for breast cancer prevention, and approval by the US Food and Drug Administration or any other regulatory authority for this indication will probably not be sought for lasofoxifene or arzoxifene. Our longer term assessment shows that the benefit–harm balance is now more favourable than that calculated for short term follow-up, and, in view of this new evidence, assessment of these drugs, especially lasofoxifene, should be continued.
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Journal:  Lancet       Date:  1998-05-16       Impact factor: 79.321

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Authors:  Bernard Fisher; Joseph P Costantino; D Lawrence Wickerham; Reena S Cecchini; Walter M Cronin; Andre Robidoux; Therese B Bevers; Maureen T Kavanah; James N Atkins; Richard G Margolese; Carolyn D Runowicz; Joan M James; Leslie G Ford; Norman Wolmark
Journal:  J Natl Cancer Inst       Date:  2005-11-16       Impact factor: 13.506

Review 4.  Chemoprevention of breast cancer with selective oestrogen-receptor modulators.

Authors:  V Craig Jordan
Journal:  Nat Rev Cancer       Date:  2007-01       Impact factor: 60.716

5.  Arzoxifene for prevention of fractures and invasive breast cancer in postmenopausal women.

Authors:  Steven R Cummings; Michael McClung; Jean-Yves Reginster; David Cox; Bruce Mitlak; John Stock; Messan Amewou-Atisso; Trevor Powles; Paul Miller; José Zanchetta; Claus Christiansen
Journal:  J Bone Miner Res       Date:  2010-07-23       Impact factor: 6.741

6.  Twenty-year follow-up of the Royal Marsden randomized, double-blinded tamoxifen breast cancer prevention trial.

Authors:  Trevor J Powles; Sue Ashley; Alwynne Tidy; Ian E Smith; Mitch Dowsett
Journal:  J Natl Cancer Inst       Date:  2007-02-21       Impact factor: 13.506

7.  First results from the International Breast Cancer Intervention Study (IBIS-I): a randomised prevention trial.

Authors:  J Cuzick; J Forbes; R Edwards; M Baum; S Cawthorn; A Coates; A Hamed; A Howell; T Powles
Journal:  Lancet       Date:  2002-09-14       Impact factor: 79.321

Review 8.  Overview of the main outcomes in breast-cancer prevention trials.

Authors:  J Cuzick; T Powles; U Veronesi; J Forbes; R Edwards; S Ashley; P Boyle
Journal:  Lancet       Date:  2003-01-25       Impact factor: 79.321

Review 9.  Aromatase inhibitors in prevention--data from the ATAC (arimidex, tamoxifen alone or in combination) trial and the design of IBIS-II (the second International Breast Cancer Intervention Study).

Authors:  Jack Cuzick
Journal:  Recent Results Cancer Res       Date:  2003

10.  Assessing individual breast cancer risk within the U.K. National Health Service Breast Screening Program: a new paradigm for cancer prevention.

Authors:  D Gareth R Evans; Jane Warwick; Susan M Astley; Paula Stavrinos; Sarah Sahin; Sarah Ingham; Helen McBurney; Barbara Eckersley; Michelle Harvie; Mary Wilson; Ursula Beetles; Ruth Warren; Alan Hufton; Jamie C Sergeant; William G Newman; Iain Buchan; Jack Cuzick; Anthony Howell
Journal:  Cancer Prev Res (Phila)       Date:  2012-05-11
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  127 in total

1.  Breast Cancer Chemoprevention among High-risk Women and those with Ductal Carcinoma In Situ.

Authors:  Laura L Reimers; Parijatham S Sivasubramanian; Dawn Hershman; Mary Beth Terry; Heather Greenlee; Julie Campbell; Kevin Kalinsky; Matthew Maurer; Ramona Jayasena; Rossy Sandoval; Maria Alvarez; Katherine D Crew
Journal:  Breast J       Date:  2015-04-16       Impact factor: 2.431

2.  Sequential use of antiresorptives in younger women.

Authors:  A Cano; N Mendoza; R Sánchez-Borrego
Journal:  Osteoporos Int       Date:  2013-07-05       Impact factor: 4.507

3.  Targeted therapies: Any surprises from selective oestrogen-receptor modulators?

Authors:  V Craig Jordan
Journal:  Nat Rev Clin Oncol       Date:  2013-06-11       Impact factor: 66.675

Review 4.  Suitable trial designs and cohorts for preventive breast cancer agents.

Authors:  Kathrin Strasser-Weippl; Paul E Goss
Journal:  Nat Rev Clin Oncol       Date:  2013-10-08       Impact factor: 66.675

5.  Deciding on breast cancer risk reduction: The role of counseling in individual decision-making - A qualitative study.

Authors:  Sarah B Blakeslee; Worta McCaskill-Stevens; Patricia A Parker; Christine M Gunn; Hanna Bandos; Therese B Bevers; Tracy A Battaglia; Angela Fagerlin; Jacqueline Müller-Nordhorn; Christine Holmberg
Journal:  Patient Educ Couns       Date:  2017-06-27

6.  Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer.

Authors:  Montserrat Garcia-Closas; Necdet Burak Gunsoy; Nilanjan Chatterjee
Journal:  J Natl Cancer Inst       Date:  2014-11-12       Impact factor: 13.506

7.  Overdiagnosis in breast cancer chemoprevention trials.

Authors:  V Sopik; S A Narod
Journal:  Curr Oncol       Date:  2015-02       Impact factor: 3.677

8.  Primary chemoprevention of breast cancer: Are the adverse effects too burdensome?

Authors:  Vinay Prasad; Marie Diener-West
Journal:  CMAJ       Date:  2015-03-23       Impact factor: 8.262

9.  Recommendations on breast cancer screening and prevention in the context of implementing risk stratification: impending changes to current policies.

Authors:  J Gagnon; E Lévesque; F Borduas; J Chiquette; C Diorio; N Duchesne; M Dumais; L Eloy; W Foulkes; N Gervais; L Lalonde; B L'Espérance; S Meterissian; L Provencher; J Richard; C Savard; I Trop; N Wong; B M Knoppers; J Simard
Journal:  Curr Oncol       Date:  2016-12-21       Impact factor: 3.677

Review 10.  Molecular cancer prevention: Current status and future directions.

Authors:  Karen Colbert Maresso; Kenneth Y Tsai; Powel H Brown; Eva Szabo; Scott Lippman; Ernest T Hawk
Journal:  CA Cancer J Clin       Date:  2015-08-18       Impact factor: 508.702

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