选择性雌激素受体调节剂在乳腺癌预防方面的研究:一项个体化参与数据荟萃分析的更新

Selective oestrogen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data
作者:Cuzick J, Sestak I, Bonanni B
期刊: Lancet2013年5月期卷

 

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

  • Prof Jack Cuzick, PhDaCorresponding author contact information
  • Ivana Sestak, PhDa
  • Bernardo Bonanni, MDb
  • Joseph P Costantino,DrPHc
  • Steve Cummings, MDd
  • Prof Andrea DeCensi, MDe
  • Prof Mitch Dowsett, PhDf
  • Prof John F Forbes, MDg
  • Leslie Ford, MDh
  • Prof Andrea Z LaCroix, PhDi
  • John Mershon, MDj
  • Bruce H Mitlak, MDk,
  • Prof Trevor Powles, MDl
  • Prof Umberto Veronesi, MDm
  • Prof Victor Vogel, MDn
  • D Lawrence Wickerham,MDo
    • for the SERM Chemoprevention of Breast Cancer Overview Group †
 
  • a Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
  • b European Institute of Oncology, Milan, Italy
  • c National Surgical Adjuvant Breast and Bowel Project (NSABP) Biostatistical Centre, Pittsburgh, PA, USA
  • d San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA
  • e Division of Medical Oncology, EO Ospedali Galliera, Genoa, Italy
  • f The Royal Marsden Hospital, Department of Academic Biochemistry, London, UK
  • g Department of Surgical Oncology, Newcastle Mater Hospital, University of Newcastle, Newcastle, Australia
  • h National Cancer Institute, Division of Cancer Prevention, Bethesda, MD, USA
  • i Fred Hutchinson Cancer Research Center, Seattle, WA, USA
  • j Abbott Laboratories, Abbott Park, IL, USA
  • k Eli Lilly and Company, Indianapolis, IN, USA
  • l Institute of Cancer Research, London, UK
  • m European Institute of Oncology, Milan, Italy
  • n University of Pittsburgh, School of Medicine University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
  • o University of Pittsburgh, Department of Human Oncology, Pittsburgh, PA, USA
 
Refers To
  • Anthony Howell, D Gareth Evans
  • Breast cancer prevention: SERMs come of age
  • The LancetVolume 381, Issue 988025–31 May 2013Pages 1795-1797
  •  PDF (485 K)         
Referred to by
  • Anthony Howell, D Gareth Evans
  • Breast cancer prevention: SERMs come of age
  • The LancetVolume 381, Issue 988025–31 May 2013Pages 1795-1797
  •  PDF (485 K)         
  Open Access

Summary

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.


Introduction

Large reductions in contralateral tumours shown in adjuvant trials with tamoxifen suggest that this drug could prevent breast cancer.1 and 2 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.3 An earlier meta-analysis4 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 trials5, 7, 9 and 11 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 trials13 and 14 investigated raloxifene versus placebo in postmenopausal women who had either osteoporosis, or had risk factors for or established coronary heart disease.15 A third trial16 compared raloxifene to tamoxifen in women at increased risk of developing breast cancer. One trial18 compared lasofoxifene at two different doses with placebo in postmenopausal women with osteoporosis. Finally, one trial20 compared arzoxifene with placebo in postmenopausal women with osteoporosis. The trials are summarised in table 1.

 

Table 1. Details of breast cancer prevention trials

  N Recruitment period Treatment groups and daily dose Treatment duration (years) Entry criteria Present status Median follow-up (months)
Marsden5 and 6 2471 1986–96 Placebo (1233)
Tamoxifen 20 mg (1238)
5–8 High risk, family history Blinded, further follow-up 171·6 (153·9–184·0)
IBIS-I7 and 8 7109 1992–2001 Placebo (3566)
Tamoxifen 20 mg (3573)
5 Greater than two times relative risk Blinded, further follow-up 96 (80·1–117·1)
NSABP-P-19 and 10 13 205 1992–97 Placebo (6707)
Tamoxifen 20 mg (6681)
5 >1·6% 5 year risk Unblinded, no follow-up 57·6 (35·4–64·9)
Italian11 and 12 5408 1992–97 Placebo (2708)
Tamoxifen 20 mg (2700)
5 Normal risk, women with hysterectomy Unblinded, further follow-up 139·6 (122·0–146·1)
MORE13/CORE14* 7705/6511 1994–98/ 1998–2002 Placebo (2576) Raloxifene 60 mg (2557)/Placebo (2576) Raloxifene 120 mg (2572) 4/8 Normal risk, postmenopausal women with osteoporosis Unblinded, no follow-up 71·3 (47·1–95·4)
RUTH15 10 101 1998–2000 Placebo (5057)
Raloxifene 60 mg (5044)
5 Normal risk, postmenopausal women with established or risk of CHD Unblinded, no follow-up 66·7 (60·1–72·3)
STAR16 and 17 19 490 1999–2004 Raloxifene 60 mg (9875)
Tamoxifen 20 mg (9872)
5 >1·6% 5 year risk, postmenopausal women Unblinded, no follow-up 81 (60·8–96.6)
PEARL18 and 19 8856 2001–07 Placebo (2852)
Lasofoxifene 0·50 mg (2852)
Lasofoxifene 0·25 mg (2852)
5 Normal risk, postmenopausal women with osteoporosis Blinded, no follow-up 59·6 (58·8–60·1)
GENERATIONS20 and 21 9354 2004–09 Placebo (4678)
Arzoxifene 20 mg (4676)
4 Normal risk, postmenopausal with low BMD or osteoporosis Unblinded, no follow-up 54·3 (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.22 Data are plotted as the proportion of women with the event as a function of follow-up time with Kaplan-Meier methods.23 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 2and 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).

Full-size image (37 K)

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 allocationSERM=selective oestrogen receptor modulator. ER=oestrogen receptor.

 

Table 2. Breast cancer incidence in the chemoprevention trials

    Overall* Annual rates per 1000 HR (95% CI) ER-positive invasive HR (95% CI) ER-negative invasive HR (95% CI) DCIS HR (95% CI)
Tamoxifen trials
Marsden 96 vs114 6·4 0·87 (0·63-1·21) 51 vs 83 0·66 (0·44-0·99) 25 vs 17 1·66 (0·81-3·40) 14 vs9 1·40 (0·44-4·40)
IBIS I 143 vs198 6·7 0·72 (0·58-0·90) 88 vs 131 0·69 (0·52-0·90) 36 vs 38 0·97 (0·62-1·54) 16 vs27 0·52 (0·27-0·99)
NSABP-P-1 130 vs248 6·1 0·52 (0·42-0·64) 44 vs 134 0·33 (0·23-0·46) 39 vs 31 1·26 (0·78-2·02) 38 vs70 0·54 (0·36-0·80)
Italian 62 vs 74 4·2 0·83 (0·58-1·19) 36 vs 48 0·73 (0·45-1·17) 16 vs 17 0·87 (0·43-1·79) vs 6 1·80 (0·60-5·38)
  Total (0–10 years) 431 vs634 .. 0·67 (0·59-0·76) 219 vs396 0·56 (0·47-0·67) 116 vs103 1·13 (0·86-1·49) 77 vs112 0·72 (0·57-0·92)
  Total (0–5 years) 256 vs409 .. 0·62 (0·53-0·73) 121 vs235 0·51 (0·41-0·64) 78 vs 76 1·03 (0·75-1·41) 47 vs83 0·56 (0·39-0·81)
  Total (5–10 years) 175 vs225 .. 0·78 (0·62-0·97) 98 vs 161 0·63 (0·47-0·83) 38 vs 27 1·55 (0·88-2·72) 30 vs29 0·87 (0·49-1·57)
Raloxifene trials
MORE/CORE 57 vs 65 4·2 0·42 (0·29-0·60) 22 vs 44 0·24 (0·15-0·40) 15 vs 7 1·06 (0·43-2·59) 13 vs7 0·91 (0·36-2·28)
RUTH 52 vs 76 4·2 0·67 (0·47-0·96) 25 vs 55 0·45 (0·28-0·72) 13 vs 9 1·44 (0·61-3·63) 11 vs5 2·17 (0·75-6·25)
STAR(tamoxifen vsraloxifene) 358 vs447 5·9 0·81 (0·70-0·93) 182 vs221 0·83 (0·69-1·02) 60 vs 70 0·79 (0·56-1·11) 111vs137 0·82 (0·64-1·05)
  Total (0–10 years) 467 vs588 .. 0·66 (0·55-0·80) 229 vs320 0·44 (0·34-0·58) 88 vs 93 1·37 (0·96-1·95) 135vs149 1·07 (0·68-1·68)
  Total (0–5 years) 327 vs421 .. 0·63 (0·51-0·79) 168 vs224 0·40 (0·29-0·56) 62 vs 71 1·27 (0·83-1·95) 86 vs108 1·08 (0·60-1·96)
  Total (5–10 years) 140 vs167 .. 0·84 (0·51-1·27) 61 vs 96 0·72 (0·49-1·06) 26 vs 22 1·70 (0·84-3·47) 49 vs41 0·88 (0·45-1·74)
PEARL
  0·25 mg 20 vs 24 2·0 0·82 (0·45-1·49) vs 18 0·49 (0·22-1·10) vs 2 2·83 (0·57-14·02) vs 4 0·99 (0·25-3·99)
  0·5 mg vs 24 2·0 0·21 (0·08-0·55) vs 18 0·17 (0·05-0·56) vs 2 .. vs 4 0·50 (0·09-2·73)
GENERATIONS 22 vs 53 3·2 0·42 (0·25-0·68) vs 30 0·30 (0·14-0·63) 10 vs 10 1·01 (0·42-2·41) vs10 0·30 (0·08-1·09)
All trials (fixed effect; random effect)§
Total (0–10 years) 587 vs852 4·7 0·62 (0·56-0·69); 0·61 (0·49-0·75) 287 vs543 0·49 (0·42-0·57); 0·44 (0·33-0·60) 160 vs131 1·14 (0·90-1·45) 1·14 (0·90-1·45) 110vs138 0·69 (0·53-0·90); 0·79 (0·53-1·19)
Total (0–5 years) 376 vs594 4·6 0·58 (0·51-0·66); 0·58 (0·47-0·73) 174 vs360 0·45 (0·38-0·54); 0·42 (0·29-0·61) 111 vs 90 1·05 (0·80-1·39); 1·05 (0·80-1·39) 73 vs107 0·66 (0·48-0·90); 0·73 (0·47-1·14)
Total (5–10 years) 211 vs258 4·9 0·75 (0·61-0·93); 0·75 (0·59-0·94) 113 vs183 0·58 (0·45-0·76); 0·58 (0·45-0·76) 49 vs 32 1·66 (0·98-2·81) 1·66 (0·98-2·81) 37 vs31 0·94 (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.

 
Full-size image (45 K)

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 models23ER=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.

Full-size image (21 K)

Figure 3. All breast cancers, invasive breast cancer, and DCIS in years 0–10ER=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 cancer All other cancer* Any death Breast cancer death Venous thrombolic events Cardiovascular events All fractures Non-vertebral fractures Vertebral fractures Cataracts
Marsden 12 vs 5 55 vs 60 54 vs54 12 vs 9 .. .. .. .. .. ..
IBIS-I 19 vs 11 110 vs113 65 vs55 10 vs12 65 vs 43 40 vs 38 229 vs252 221 vs244 vs 8 76 vs 70
NSABP-P-1 36 vs 15 101 vs103 59 vs71 vs 6 55 vs 29 90 vs 82 502 vs539 480 vs509 22 vs 30 578 vs 513
Italian .. 106 vs91 36 vs38 vs 2 11 vs 10 14 vs 10 .. .. .. ..
MORE/CORE vs 8 112 vs132 81 vs84 .. 47 vs 25 82 vs 78 353 vs450 214 vs225 139 vs225 275 vs 280
RUTH 21 vs 17 204 vs203 548 vs585 vs 0 106 vs 73 487 vs 481 529 vs591 470 vs. 499 59 vs 92 570 vs 561
STAR§(raloxifene vstamoxifen) 37 vs 65 354 vs323 202 vs236 vs 11 154 vs 202 233 vs 220 1272 vs1364 1195 vs1299 65 vs 77 603 vs 739
PEARL (0·5 mgvs 0·25 mg vsplacebo) vs 2
vs 3
25 vs 20
vs 22
92 vs73
vs 65
.. 48 vs 37
vs 18
47 vs 54
vs 76
359 vs422
vs 508
203 vs233
vs 246
156 vs189
vs 262
320 vs 317
vs 330
GENERATIONS vs 4 74 vs 75 103 vs98 .. 43 vs 17 71 vs 64 426 vs508 316 vs327 110 vs181 382 vs 400
All events 105 vs 63 787 vs799 1038vs1050 30 vs29 375 vs 215 831 vs 829 2398 vs2848 1904 vs2050 494 vs798 2201 vs2154
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.

Full-size image (37 K)

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,4 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,24 and one trial in the preventive setting has shown a very large effect on short-term incidence for exemestane.25Results from another prevention trial of anastrozole are awaited,24 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 density26 and panels of single nucleotide polymorphisms,27 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.

Contributors

JC, JPC, BHM, LF, ADC contributed to study design. IS did the statistical analyses. All authors contributed to data analysis and interpretation. JC and IS drafted the report and all authors approved the final manuscript.

Steering committee

JC (chair), IS, BB, JPC, SC, ADC, MD, JFF, LF, AZLC, JM, BHM, TP, IS, UV, VV, DLW

Conflicts of interest

JC has received a grant from AstraZeneca for chemoprevention trials. BHM is, and JM was, an employee and shareholder of Eli Lilly. IS, BB, JPC, VV, MD, TP, DLW, LF, SC, JFF, ADC, AZLC, UV declare that they have no conflicts of interest.

Acknowledgements

Acknowledgments

We thank many women who participated in these trials and all trialists who chose to share their data to make these analyses possible.

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Corresponding author contact information
Correspondence to: Prof Jack Cuzick, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UK

Members of the steering committee are listed at the end of the paper

学科代码:肿瘤学   关键词:EJC全文 EJC
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