Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, Boston, MA, USA; Center for Cancer Research, Massachusetts General Hospital, Charlestown, Boston, MA, USA.
Centre for Cancer Prevention, Queen Mary University, London, UK.
Lancet Oncol. 2013 Oct;14(11):1067-1076. doi: 10.1016/S1470-2045(13)70387-5. Epub 2013 Sep 12.
Biomarkers to improve the risk-benefit of extended adjuvant endocrine therapy for late recurrence in patients with oestrogen-receptor-positive breast cancer would be clinically valuable. We compared the prognostic ability of the breast-cancer index (BCI) assay, 21-gene recurrence score (Oncotype DX), and an immunohistochemical prognostic model (IHC4) for both early and late recurrence in patients with oestrogen-receptor-positive, node-negative (N0) disease who took part in the Arimidex, Tamoxifen, Alone or in Combination (ATAC) clinical trial.
In this prospective comparison study, we obtained archival tumour blocks from the TransATAC tissue bank from all postmenopausal patients with oestrogen-receptor-positive breast cancer from whom the 21-gene recurrence score and IHC4 values had already been derived. We did BCI analysis in matched samples with sufficient residual RNA using two BCI models-cubic (BCI-C) and linear (BCI-L)-using previously validated cutoffs. We assessed prognostic ability of BCI for distant recurrence over 10 years (the primary endpoint) and compared it with that of the 21-gene recurrence score and IHC4. We also tested the ability of the assays to predict early (0-5 years) and late (5-10 years) distant recurrence. To assess the ability of the biomarkers to predict recurrence beyond standard clinicopathological variables, we calculated the change in the likelihood-ratio χ(2) (LR-Δχ(2)) from Cox proportional hazards models.
Suitable tissue was available from 665 patients with oestrogen-receptor-positive, N0 breast cancer for BCI analysis. The primary analysis showed significant differences in risk of distant recurrence over 10 years in the categorical BCI-C risk groups (p<0·0001) with 6·8% (95% CI 4·4-10·0) of patients in the low-risk group, 17·3% (12·0-24·7) in the intermediate group, and 22·2% (15·3-31·5) in the high-risk group having distant recurrence. The secondary analysis showed that BCI-L was a much stronger predictor for overall (0-10 year) distant recurrence compared with BCI-C (interquartile HR 2·30 [95% CI 1·62-3·27]; LR-Δχ(2)=22·69; p<0·0001). When compared with BCI-L, the 21-gene recurrence score was less predictive (HR 1·48 [95% CI 1·22-1·78]; LR-Δχ(2)=13·68; p=0·0002) and IHC4 was similar (HR 1·69 [95% CI 1·51-2·56]; LR-Δχ(2)=22·83; p<0·0001). All further analyses were done with the BCI-L model. In a multivariable analysis, all assays had significant prognostic ability for early distant recurrence (BCI-L HR 2·77 [95% CI 1·63-4·70], LR-Δχ(2)=15·42, p<0·0001; 21-gene recurrence score HR 1·80 [1·42-2·29], LR-Δχ(2)=18·48, p<0·0001; IHC4 HR 2·90 [2·01-4·18], LR-Δχ(2)=29·14, p<0·0001); however, only BCI-L was significant for late distant recurrence (BCI-L HR 1·95 [95% CI 1·22-3·14], LR-Δχ(2)=7·97, p=0·0048; 21-gene recurrence score HR 1·13 [0·82-1·56], LR-Δχ(2)=0·48, p=0·47; IHC4 HR 1·30 [0·88-1·94], LR-Δχ(2)=1·59, p=0·20).
BCI-L was the only significant prognostic test for risk of both early and late distant recurrence and identified two risk populations for each timeframe. It could help to identify patients at high risk for late distant recurrence who might benefit from extended endocrine or other therapy.
Avon Foundation, National Institutes of Health, Breast Cancer Foundation, US Department of Defense Breast Cancer Research Program, Susan G Komen for the Cure, Breakthrough Breast Cancer through the Mary-Jean Mitchell Green Foundation, AstraZeneca, Cancer Research UK, and the National Institute for Health Research Biomedical Research Centre at the Royal Marsden (London, UK).
对于雌激素受体阳性乳腺癌患者,生物标志物可改善晚期复发的风险-获益比,这将具有重要的临床价值。我们比较了乳腺癌指数(BCI)检测、21 基因复发评分(Oncotype DX)和免疫组化预后模型(IHC4)在接受阿那曲唑、他莫昔芬、单独或联合治疗的雌激素受体阳性、淋巴结阴性(N0)疾病患者中的早期和晚期复发中的预后能力,这些患者参加了阿那曲唑、他莫昔芬、单独或联合(ATAC)临床试验。
在这项前瞻性比较研究中,我们从 ATAC 组织库中获得了所有绝经后雌激素受体阳性乳腺癌患者的存档肿瘤块,这些患者的 21 基因复发评分和 IHC4 值已经确定。我们使用两个经过验证的截断值,使用先前验证的截断值,在具有足够剩余 RNA 的匹配样本中进行 BCI 分析,即立方(BCI-C)和线性(BCI-L)模型。我们评估了 BCI 在 10 年以上远处复发(主要终点)的预后能力,并与 21 基因复发评分和 IHC4 进行了比较。我们还测试了这些检测方法预测早期(0-5 年)和晚期(5-10 年)远处复发的能力。为了评估生物标志物预测标准临床病理变量之外的复发的能力,我们从 Cox 比例风险模型中计算了似然比 χ2(LR-Δχ2)的变化。
有 665 名雌激素受体阳性、N0 乳腺癌患者的组织适合进行 BCI 分析。主要分析显示,在分类 BCI-C 风险组中,10 年远处复发的风险存在显著差异(p<0·0001),低风险组患者的 6·8%(95%CI 4·4-10·0)、中风险组患者的 17·3%(12·0-24·7)和高风险组患者的 22·2%(15·3-31·5)出现远处复发。二次分析显示,与 BCI-C 相比,BCI-L 是一个更强的预测总(0-10 年)远处复发的指标(HR 2·30 [95%CI 1·62-3·27];LR-Δχ2=22·69;p<0·0001)。与 BCI-L 相比,21 基因复发评分的预测能力较弱(HR 1·48 [95%CI 1·22-1·78];LR-Δχ2=13·68;p=0·0002),而 IHC4 相似(HR 1·69 [95%CI 1·51-2·56];LR-Δχ2=22·83;p<0·0001)。所有进一步的分析均使用 BCI-L 模型进行。在多变量分析中,所有检测均对早期远处复发具有显著的预后能力(BCI-L HR 2·77 [95%CI 1·63-4·70],LR-Δχ2=15·42,p<0·0001;21 基因复发评分 HR 1·80 [1·42-2·29],LR-Δχ2=18·48,p<0·0001;IHC4 HR 2·90 [2·01-4·18],LR-Δχ2=29·14,p<0·0001);然而,只有 BCI-L 对晚期远处复发具有显著意义(BCI-L HR 1·95 [95%CI 1·22-3·14],LR-Δχ2=7·97,p=0·0048;21 基因复发评分 HR 1·13 [0·82-1·56],LR-Δχ2=0·48,p=0·47;IHC4 HR 1·30 [0·88-1·94],LR-Δχ2=1·59,p=0·20)。
BCI-L 是唯一对早期和晚期远处复发风险有显著预测作用的预后检测,可识别每个时间窗的两个风险人群。它可能有助于识别出具有晚期远处复发高风险的患者,这些患者可能受益于延长内分泌治疗或其他治疗。
雅芳基金会、美国国立卫生研究院、乳腺癌基金会、美国国防部乳腺癌研究计划、Susan G Komen for the Cure、突破乳腺癌基金会通过 Mary-Jean Mitchell Green 基金会、阿斯利康、英国皇家马斯登癌症中心(伦敦,英国)癌症研究中心和英国国家卫生研究院生物医学研究中心。