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首页> 外文期刊>Clinical cancer research: an official journal of the American Association for Cancer Research >Differential response to neoadjuvant chemotherapy among 7 triple-negative breast cancer molecular subtypes
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Differential response to neoadjuvant chemotherapy among 7 triple-negative breast cancer molecular subtypes

机译:7种三阴性乳腺癌分子亚型对新辅助化疗的差异反应

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Purpose: 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. Experimental Design: 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.Weclassified theTNBC 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. Results:TNBCsubtype 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 (basallike vs. non basal-like). Conclusions: 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.
机译:目的:Lehmann及其同事报道的三阴性乳腺癌(TNBC)的7亚型分类的临床相关性尚不清楚。我们通过确定新辅助化疗后基于TNBC亚型的病理完全缓解率(pCR)来研究TNBC异质性的临床相关性。实验设计:我们使用来自公共数据集中的Affymetrix CEL文件重新验证了Lehmann及其同事的实验。我们将这些方法应用于2000年6月至2010年3月在我们机构获得的146例具有基因表达微阵列的TNBC患者。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。我们使用Fisher精确检验和Logistic回归模型将TNBC样本按亚型分类,然后将亚型与pCR状态相关。我们还评估了生存率,并将这些亚型与PAM50内在亚型和残留癌症负荷(RCB)指数进行了比较。结果:TNBC亚型与pCR状态显着相关(P = 0.04379)。基底样1(BL1)亚型具有最高的pCR率(52%)。基底样2(BL2)和腔雄激素受体最低(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)。这些亚型比PAM50内在亚型更好的预测了pCR状态(基底样与非基底样)。结论:按7个亚型对TNBC进行分类可预测pCR率高低。我们确认了TNBC的7种亚型的临床相关性。我们需要前瞻性地验证pCR率差异是否会转化为长期结果差异。 7亚型分类可能会激发TNBC患者的创新个性化治疗策略。

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