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中国 HER2 阳性乳腺癌的基因突变谱和新辅助抗 HER2 治疗反应的遗传预测因子。

Genetic mutation profile of Chinese HER2-positive breast cancers and genetic predictors of responses to Neoadjuvant anti-HER2 therapy.

机构信息

Department of Breast Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.

School of Medicine, South China University of Technology, Guangzhou, China.

出版信息

Breast Cancer Res Treat. 2020 Sep;183(2):321-332. doi: 10.1007/s10549-020-05778-0. Epub 2020 Jul 7.

Abstract

PURPOSE

Despite the therapeutic success of existing HER2-targeted therapies, tumors respond quite differently to them. This study aimed at figuring out genetic mutation profile of Chinese HER2-positive patients and investigating predictive factors of neoadjuvant anti-HER2 responses.

METHODS

We employed two cohorts. The first cohort was comprised of 181 HER2-positive patients treated at Guangdong Provincial People's Hospital from 2012 to 2018. The second cohort included 40 patients from the first cohort who underwent HER2-targeted neoadjuvant chemotherapy. Genetic mutations were characterized using next-generation sequencing. We employed the most commonly used definition of pathological complete response (pCR)-eradication of tumor from both breast and lymph nodes (ypT0/is ypN0).

RESULTS

In Chinese HER2-positive breast cancer patients, TP53 (74.6%), CDK12 (64.6%) and PIK3CA (46.4%) have the highest mutation frequencies. In cohort 2, significant differences were found between pCR and non-pCR groups in terms of the initial Ki67 status, TP53 missense mutations, TP53 LOF mutations, PIK3CA mutations and ROS1 mutations (p = 0.028, 0.019, 0.005, 0.013, 0.049, respectively). Furthermore, TP53 LOF mutations and initial Ki67 status (OR 7.086, 95% CI 1.366-36.749, p = 0.020 and OR 6.007, 95% CI 1.120-32.210, p = 0.036, respectively) were found to be predictive of pCR status.

CONCLUSION

TP53 LOF mutations and initial Ki67 status in HER2-positive breast cancer are predictive of pCR status after HER2-targeted NACT.

摘要

目的

尽管现有的 HER2 靶向治疗取得了疗效,但肿瘤对其反应差异很大。本研究旨在探讨中国 HER2 阳性患者的基因突变谱,并研究新辅助抗 HER2 反应的预测因素。

方法

我们采用了两个队列。第一队列包括 2012 年至 2018 年在广东省人民医院接受治疗的 181 例 HER2 阳性患者。第二队列包括第一队列中接受 HER2 靶向新辅助化疗的 40 例患者。采用下一代测序技术对基因突变进行特征分析。我们采用最常用的病理完全缓解(pCR)定义——消除乳房和淋巴结中的肿瘤(ypT0/is ypN0)。

结果

在中国 HER2 阳性乳腺癌患者中,TP53(74.6%)、CDK12(64.6%)和 PIK3CA(46.4%)的突变频率最高。在队列 2 中,pCR 组与非 pCR 组在初始 Ki67 状态、TP53 错义突变、TP53 失活突变、PIK3CA 突变和 ROS1 突变方面存在显著差异(p=0.028、0.019、0.005、0.013、0.049)。此外,TP53 失活突变和初始 Ki67 状态(OR 7.086,95%CI 1.366-36.749,p=0.020 和 OR 6.007,95%CI 1.120-32.210,p=0.036)被发现可预测 pCR 状态。

结论

HER2 阳性乳腺癌中 TP53 失活突变和初始 Ki67 状态可预测 HER2 靶向 NACT 后的 pCR 状态。

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