Authors' Affiliations: Morgan Welch Inflammatory Breast Cancer Research Program and Clinic; Departments of Breast Medical Oncology, Bioinformatics and Computational Biology, Pathology, and Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; and Department of Biochemistry, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
Clin Cancer Res. 2013 Oct 1;19(19):5533-40. doi: 10.1158/1078-0432.CCR-13-0799. Epub 2013 Aug 15.
The clinical relevancy of the 7-subtype classification of triple-negative breast cancer (TNBC) reported by Lehmann and colleagues is unknown. We investigated the clinical relevancy of TNBC heterogeneity by determining pathologic complete response (pCR) rates after neoadjuvant chemotherapy, based on TNBC subtypes.
We revalidated the Lehmann and colleagues experiments using Affymetrix CEL files from public datasets. We applied these methods to 146 patients with TNBC with gene expression microarrays obtained from June 2000 to March 2010 at our institution. Of those, 130 had received standard neoadjuvant chemotherapy and had evaluable pathologic response data. We classified the TNBC samples by subtype and then correlated subtype and pCR status using Fisher exact test and a logistic regression model. We also assessed survival and compared the subtypes with PAM50 intrinsic subtypes and residual cancer burden (RCB) index.
TNBC subtype and pCR status were significantly associated (P = 0.04379). The basal-like 1 (BL1) subtype had the highest pCR rate (52%); basal-like 2 (BL2) and luminal androgen receptor had the lowest (0% and 10%, respectively). TNBC subtype was an independent predictor of pCR status (P = 0.022) by a likelihood ratio test. The subtypes better predicted pCR status than did the PAM50 intrinsic subtypes (basal-like vs. non basal-like).
Classifying TNBC by 7 subtypes predicts high versus low pCR rate. We confirm the clinical relevancy of the 7 subtypes of TNBC. We need to prospectively validate whether the pCR rate differences translate into long-term outcome differences. The 7-subtype classification may spur innovative personalized medicine strategies for patients with TNBC.
列曼(Lehmann)等人报告的三阴性乳腺癌(TNBC)的 7 型分类的临床相关性尚不清楚。我们通过基于 TNBC 亚型确定新辅助化疗后的病理完全缓解(pCR)率来研究 TNBC 异质性的临床相关性。
我们使用公共数据集的 Affymetrix CEL 文件重新验证了列曼(Lehmann)等人的实验。我们将这些方法应用于从 2000 年 6 月至 2010 年 3 月在我们机构获得的 146 例 TNBC 患者的基因表达微阵列中。其中,130 例接受了标准的新辅助化疗,并具有可评估的病理反应数据。我们根据亚型对 TNBC 样本进行分类,然后使用 Fisher 精确检验和逻辑回归模型将亚型与 pCR 状态相关联。我们还评估了生存并将亚型与 PAM50 内在亚型和残留肿瘤负荷(RCB)指数进行了比较。
TNBC 亚型与 pCR 状态显著相关(P = 0.04379)。基底样 1(BL1)亚型的 pCR 率最高(52%);基底样 2(BL2)和 luminal androgen receptor 的 pCR 率最低(分别为 0%和 10%)。通过似然比检验,TNBC 亚型是 pCR 状态的独立预测因子(P = 0.022)。与 PAM50 内在亚型相比,亚型更好地预测了 pCR 状态(基底样与非基底样)。
通过 7 种亚型对 TNBC 进行分类可预测高与低的 pCR 率。我们证实了 TNBC 的 7 种亚型的临床相关性。我们需要前瞻性验证 pCR 率差异是否转化为长期结局差异。7 型分类可能为 TNBC 患者带来创新的个性化医学策略。