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乳腺癌临床病理指标以及分子分型对TEC新辅助化疗病理完全缓解的预测价值

李小龙 成宏 赵晨晖 涂刚

肿瘤防治研究2013,Vol.40Issue(6):599-603,5.
肿瘤防治研究2013,Vol.40Issue(6):599-603,5.DOI:10.3971/j.issn.1000-8578.2013.06.023

乳腺癌临床病理指标以及分子分型对TEC新辅助化疗病理完全缓解的预测价值

Predictive Values of Clinicopathological Parameters and Molecular Typing for Pathological Complete Response (pCR) in Breast Cancer Neoadjuvant Chemotherapy by TEC

李小龙 1成宏 1赵晨晖 1涂刚1

作者信息

  • 1. 400016重庆,重庆医科大学附属第一医院内分泌乳腺外科
  • 折叠

摘要

Abstract

Objective To investigate whether clinical and pathological factors and molecularsubtypes of breast cancer was able to predict pathological complete response (pCR) after neoadjuvant chemotherapy using docetaxel plus epirubicin,cytoxan (TEC-NAC).Methods Two hundred and fourteen patients who underwent 4 cycles of TEC-NAC were retrospectively studied.In Core-needle biopsy specimens,estrogen receptor(ER),progesterone receptor(PR),human epidermal growth factor receptor-2 (HER2),Ki67 and p53 were detected by immunohistochemical assay,and HER2 was also detected by Fluorescence In Situ Hybridization(FISH).Breast cancer was divided into 4 molecular subtypes of LuminalA,LuminalB,HER2 overexpression and triple negative breast cancer based on the expression levels of ER,PR,HER2 and Ki67.The correlation between these Factors and pCR was analyzed.Results Among all 214 cases,pCR was 14.0% (30/214) after 4 cycles of TEC-NAC.In the univariate analysis,the correlation between expressions of ER,PR,Ki67 and molecular subtypes of breast cancer and pCR were significant (P<0.05 all).pCR rates were LuminalA <LuminalB <HER2 over-expressing <triple negative breast cancer.Multivariate analysis:showed categorical variables related to pCR were ER (OR =0.311,95% CI:0.136 to 0.712; P=0.006) and Ki67 (OR =2.788,95% CI:1.061 to 7.327;P =0.038).Conclusion ER,PR negative expression,Ki67-positive and molecular subtypes of breast cancer might be the predictors of pCR.

关键词

乳腺癌/新辅助化疗/病理完全缓解/预测指标/分子分型

Key words

Breast cancer/ Neoadjuvant chemotherapy/ Pathological complete response (pCR) / Predictive biomarker/ Molecular subtypes

分类

医药卫生

引用本文复制引用

李小龙,成宏,赵晨晖,涂刚..乳腺癌临床病理指标以及分子分型对TEC新辅助化疗病理完全缓解的预测价值[J].肿瘤防治研究,2013,40(6):599-603,5.

肿瘤防治研究

OA北大核心CSCDCSTPCD

1000-8578

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