背景:BCI-HOXB13/IL17BR 比值(BCI-H/I)已被證明可以作為預測內分泌 tx(ET)和延長內分泌獲益指標。在 NSABPB-42 研究中,我們評估了 BCI-H/I EET 在已完成 5 年內分泌治療的HR+乳腺癌患者中作為延長來曲唑內分泌治療(ELT)獲益的預指標的作用。
Background: The BCI HOXB13/IL17BR ratio (BCI-H/I) has been shown to predict endocrine tx (ET) and extended ET (EET) benefit. We examined the effect of BCI-H/I for EET benefit prediction in NSABP B-42, evaluating extended letrozole tx (ELT) in HR+ breast cancer patients (pts) who completed 5 yrs of ET.
方法:所有可獲取原發腫瘤組織的乳腺癌患者均可入組,主要研究終點為:無複發間隔(RFI)。次要終點是遠處複發(DR)、乳腺癌無瘤間隔(BCFI)和無病生存率(DFS)。采用 COX 比例風險模型分析,由於延長內分泌治療 ELT 對遠處複發的影響不成比例,進一步進行了時間相關的二次分析(≤4y,>4y)。似然比檢驗評估 BCI-H/I 相互作用。
Methods: All pts with available primary tumor tissue were eligible. Primary endpoint was recurrence-free interval (RFI). Secondary endpoints were distant recurrence (DR), breast cancer-free interval (BCFI), and disease-free survival (DFS). Stratified Cox proportional hazards model was used. Due to a non-proportional effect of ELT on DR, time-dependent secondary analyses (≤4y, >4y) were performed. Likelihood ratio test evaluated treatment by BCI-H/I interaction.
結果:共分析 2179 例患者(60%患者 N0;62%患者僅使用過 AI;80%為 HER2-,45%為高 BCI-H/I,55%患者為低 BCI-H/I)。延長內分泌治療顯示)10 年 RFI 總體獲益為 1.6% (HR=0.77, 95% CI 0.57-1.05, p=0.10),其中( (BCI-H/I-Low 組 1.1% [HR=0.69, 0.43-1.11, p=0.13),BCI-H/I-High組 2.4% [HR=0.83, 0.55-1.26, p=0.38]; interaction p=0.55), 延長內分泌治療在兩組中 BCFI 無顯著差異(HR=0.53, 0.36-0.78, p=0.001; BCI-H/I-High: HR=0.85, 0.60-1.21, p=0.36,相互作用p=0.07)。DFS(BCI-H/I-Low:HR=0.75,0.58-0.95,p=0.017;BCI-H/I-高:HR=0.81,0.64-1.04,p=0.09;相互作用 p=0.62)。4 年以前,在高乳腺指數患者中延長內分泌治療 DR 獲益無統計學意義。4 年後,BCI-H/I-High 患者延長內分泌治療 DR 獲益 (HR: 0.29, 0.12-0.69, p=0.003), 而 BCI-H/I-Low 患者中延長內分泌治療對 DR 不太可能獲益 (HR: 0.68, 0.33-1.39, p=0.28)(interaction p=0.14)。
Results: In 2,179 pts analyzed (60% N0; 62% AI only; 80% HER2-), 45% were BCI-H/I-High and 55% BCI-H/I-Low. ELT showed an absolute 10y benefit of 1.6% for RFI (HR=0.77, 95% CI 0.57-1.05, p=0.10) (BCI-H/I-Low: 1.1% [HR=0.69, 0.43-1.11, p=0.13]; BCI-H/I-High: 2.4% [HR=0.83, 0.55-1.26, p=0.38]; interaction p=0.55). There was no statistically significant ELT by BCI-H/I interaction for BCFI (BCI-H/I-Low: HR=0.53, 0.36-0.78, p=0.001; BCI-H/I-High: HR=0.85, 0.60-1.21, p=0.36; interaction p=0.07) or for DFS (BCI-H/I-Low: HR=0.75, 0.58-0.95, p=0.017; BCI-H/I-High: HR=0.81, 0.64-1.04, p=0.09; interaction p=0.62). Before 4y, there was no statistically significant ELT benefit on DR in either BCI-H/I group. After 4y, BCI-H/I-High pts had statistically significant ELT benefit on DR (HR: 0.29, 0.12-0.69, p=0.003), while BCI-H/I-Low pts were less likely to benefit (HR: 0.68, 0.33-1.39, p=0.28) (interaction p=0.14).
BCI-H/I |
≤ 4 y |
> 4 y |
|||||
HR (95%CI) |
4y abs. benefit (%) |
P |
HR (95%CI) |
10y abs. benefit (%) |
P |
||
All |
All |
0.85 (0.51, 1.43) |
0.4 |
0.55 |
0.47 (0.28, 0.81) |
1.7 |
0.005 |
L |
0.47 (0.19, 1.17) |
1.1 |
0.10 |
0.68 (0.33, 1.39) |
0.4 |
0.28 |
|
H |
1.21 (0.63, 2.32) |
-0.4 |
0.56 |
0.29 (0.12, 0.69) |
3.6 |
0.003 |
|
N0 |
L |
0.28 (0.03, 2.48) |
0.7 |
0.22 |
1.05 (0.35, 3.14) |
-1.0 |
0.93 |
H |
2.03 (0.62, 6.60) |
-1.5 |
0.23 |
0.32 (0.06, 1.68) |
1.8 |
0.16 |
|
N+ |
L |
0.54 (0.19, 1.48) |
2.4 |
0.22 |
0.49 (0.19, 1.28) |
3.5 |
0.14 |
H |
0.94 (0.42, 2.09) |
0.5 |
0.87 |
0.28 (0.10, 0.77) |
5.6 |
0.009 |
|
AI Only |
L |
0.50 (0.15, 1.70) |
0.8 |
0.26 |
0.70 (0.29, 1.68) |
0.6 |
0.42 |
H |
1.06 (0.48, 2.37) |
0.2 |
0.89 |
0.42 (0.15, 1.19) |
3.2 |
0.09 |
|
Tam-AI |
L |
0.44 (0.11, 1.70) |
1.7 |
0.22 |
0.63 (0.18, 2.24) |
0.1 |
0.47 |
H |
1.56 (0.51, 4.76) |
-1.5 |
0.43 |
0.16 (0.04, 0.76) |
4.3 |
0.009 |
結論:BCI-H/I 作為延長內分泌治療對無複發間隔(RFI)獲益預測指標作用不確定,時間依賴性 DR 分析中,4 年後高 BCI-H/I-Highpts 對預測患者風險指導內分泌延長治療有統計學意義,而BCI-H/I-Lowpts 沒有。BCI-H/I-Low 患者中評估延長內分泌治療的 BCFI 獲益主要由第二原發性乳腺癌引起。在這項研究中,需要進一步的隨訪來進一步確定 BCI-H/I 的預測能力。臨床試驗信息:NCT00382070。
Conclusions: BCI-H/I prediction of ELT benefit on RFI was not confirmed. In time-dependent DR analyses, BCI-H/I-High pts had statistically significant benefit from ELT after 4y, while BCI-H/I-Low pts did not. Observed ELT benefit on BCFI in BCI-H/I-Low pts was primarily driven by second primary breast cancers. Additional follow-up is needed to further characterize BCI-H/I predictive ability in this study .