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ERCC1和CYP1B1基因多态性作为雌激素阳性乳腺肿瘤新辅助化疗反应的预测指标

ERCC1 and CYP1B1 polymorphisms as predictors of response to neoadjuvant chemotherapy in estrogen positive breast tumors.

作者信息

Dumont Aurélie, Pannier Diane, Ducoulombier Agnès, Tresch Emmanuelle, Chen Jinying, Kramar Andrew, Révillion Françoise, Peyrat Jean-Philippe, Bonneterre Jacques

机构信息

Laboratoire d'Oncologie Moléculaire Humaine, Centre Oscar Lambret, 3 rue Frédéric Combemale, BP 307, 59020 Lille Cedex, France.

Département de Sénologie, Centre Oscar Lambret, 3 rue Frédéric Combemale, BP 307, 59020 Lille Cedex, France.

出版信息

Springerplus. 2015 Jul 7;4:327. doi: 10.1186/s40064-015-1053-0. eCollection 2015.

Abstract

PURPOSE

Neoadjuvant chemotherapy (NCT) using anthracyclines and taxanes is a standard treatment for locally advanced breast cancer. Efficacy of NCT is however variable among patients and predictive markers are expected to guide the selection of patients who will benefit from NCT. A promising approach stand with polymorphisms located in genes encoding drug transporters, drug metabolizing enzymes and target genes which can affect drug efficacy. Our study investigated the potential of 37 polymorphisms to predict response to NCT in breast cancer.

METHODS

118 women with breast adenocarcinoma were treated with FEC100 and taxotere. Genotyping was performed on germline DNA using the BioMark platform (Fluidigm). Pathological complete response (pCR) according to Sataloff criteria was correlated to clinical characteristics and genotypes using univariate and multivariate analyses.

RESULTS

25 patients (21.2%) reached complete pathologic response. pCR rate is increased in SBRIII (p = 0.009), ER negative (p = 0.005) and triple negative (p = 0.006) tumors. pCR rate is significantly increased for patients carrying at least one variant allele for BRCA1, ERCC1 or SLCO1B3, and for patients homozygous for CYP1B1. The combination of ERCC1 and CYP1B1 polymorphisms is a potential predictor of NCT response in breast cancer (pCR rate reached 50 vs 21.2% for unselected patients), and particularly in ER + breast cancer subtype where pCR rate reached 41.2 vs 13.5% for unselected patients.

CONCLUSIONS

This study is the first to report ERCC1, BRCA1 and SLCO1B3 as markers of response to NCT in breast cancer. ERCC1/CYP1B1 combination might be of particular interest to predict response to NCT in breast cancer and particularly to help NCT indication for ER+ breast tumors.

摘要

目的

使用蒽环类药物和紫杉烷类的新辅助化疗(NCT)是局部晚期乳腺癌的标准治疗方法。然而,NCT的疗效在患者中存在差异,预计预测标志物可指导选择将从NCT中获益的患者。一种有前景的方法是研究位于编码药物转运蛋白、药物代谢酶和靶基因的基因中的多态性,这些多态性可能影响药物疗效。我们的研究调查了37种多态性预测乳腺癌对NCT反应的潜力。

方法

118例乳腺腺癌女性患者接受FEC100和多西他赛治疗。使用BioMark平台(Fluidigm)对种系DNA进行基因分型。根据Sataloff标准的病理完全缓解(pCR)与临床特征和基因型进行单因素和多因素分析。

结果

25例患者(21.2%)达到完全病理缓解。SBRIII期(p = 0.009)、雌激素受体(ER)阴性(p = 0.005)和三阴性(p = 0.006)肿瘤的pCR率升高。携带BRCA1、ERCC1或SLCO1B3至少一个变异等位基因的患者以及CYP1B1纯合子患者的pCR率显著升高。ERCC1和CYP1B1多态性的组合是乳腺癌NCT反应的潜在预测指标(未选择患者的pCR率为50%对21.2%),尤其是在ER +乳腺癌亚型中,未选择患者的pCR率为41.2%对13.5%。

结论

本研究首次报告ERCC1、BRCA1和SLCO1B3是乳腺癌对NCT反应的标志物。ERCC1/CYP1B1组合可能对预测乳腺癌对NCT的反应特别有意义,尤其是有助于ER +乳腺肿瘤的NCT指征。

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