Instituto de Investigación Sanitaria Gregorio Marañon (IiSGM), CiberOnc, Madrid, Spain.
Hospital Universitario Clínico San Carlos, Madrid, Spain.
Clin Cancer Res. 2018 Apr 15;24(8):1845-1852. doi: 10.1158/1078-0432.CCR-17-1912. Epub 2018 Jan 29.
Triple-negative breast cancer (TNBC) requires the iden- tification of reliable predictors of response to neoadjuvant chemotherapy (NACT). For this purpose, we aimed to evaluate the performance of the TNBCtype-4 classifier in a cohort of patients with TNBC treated with neoadjuvant carboplatin and docetaxel (TCb). Patients with TNBC were accrued in a nonrandomized trial of neoadjuvant carboplatin AUC 6 and docetaxel 75 mg/m for six cycles. Response was evaluated in terms of pathologic complete response (pCR, ypT0/is ypN0) and residual cancer burden by Symmans and colleagues. Lehmann's subtyping was performed using the TNBCtype online tool from RNAseq data, and germline sequencing of a panel of seven DNA damage repair genes was conducted. Ninety-four out of the 121 patients enrolled in the trial had RNAseq available. The overall pCR rate was 44.7%. Lehmann subtype distribution was 34.0% BL1, 20.2% BL2, 23.4% M, 14.9% LAR, and 7.4% were classified as ER+. Response to NACT with TCb was significantly associated with Lehmann subtype ( = 0.027), even in multivariate analysis including tumor size and nodal involvement, with BL1 patients achieving the highest pCR rate (65.6%), followed by BL2 (47.4%), M (36.4%), and LAR (21.4%). BL1 was associated with a significant younger age at diagnosis and higher ki67 values. Among our 10 germline mutation carriers, 30% were BL1, 40% were BL2, and 30% were M. TNBCtype-4 is associated with significantly different pCR rates for the different subtypes, with BL1 and LAR displaying the best and worse responses to NACT, respectively. .
三阴性乳腺癌(TNBC)需要确定对新辅助化疗(NACT)反应的可靠预测因子。为此,我们旨在评估 TNBCtype-4 分类器在接受新辅助卡铂和多西紫杉醇(TCb)治疗的 TNBC 患者队列中的表现。在非随机新辅助卡铂 AUC 6 和多西紫杉醇 75mg/m2 六周期试验中纳入了 TNBC 患者。采用 Symmans 等人的方法评估病理完全缓解(pCR,ypT0/is ypN0)和残留肿瘤负担的反应。使用 RNAseq 数据从 TNBCtype 在线工具进行 Lehmann 亚分型,对一组七个 DNA 损伤修复基因进行种系测序。试验中纳入的 121 例患者中有 94 例有 RNAseq 可用。总体 pCR 率为 44.7%。Lehmann 亚型分布为 34.0% BL1、20.2% BL2、23.4% M、14.9% LAR,7.4%为 ER+。TCb 新辅助治疗的反应与 Lehmann 亚型显著相关(=0.027),即使在包括肿瘤大小和淋巴结受累的多变量分析中也是如此,BL1 患者的 pCR 率最高(65.6%),其次是 BL2(47.4%)、M(36.4%)和 LAR(21.4%)。BL1 与诊断时年龄较小和 ki67 值较高相关。在我们的 10 个种系突变携带者中,30%为 BL1,40%为 BL2,30%为 M。TNBCtype-4 与不同亚型的显著不同 pCR 率相关,BL1 和 LAR 对 NACT 的反应最好和最差。.