乳腺癌分子亚型和Ki67表达作为新辅助化疗后病理完全缓解的预测价值的临床意义:来自黎巴嫩三级保健中心的经验

IF 1.6 Q4 ONCOLOGY
International Journal of Breast Cancer Pub Date : 2022-02-12 eCollection Date: 2022-01-01 DOI:10.1155/2022/1218128
Ali Atoui, Maroun Bou Zerdan, Ahmad El Mahmoud, Nathalie Chamseddine, Lina Hamad, Hazem I Assi
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引用次数: 2

摘要

乳腺癌被认为是当今世界上最普遍的癌症。分子时代已经根据不同的激素受体成功地将乳腺癌分为不同的亚型。这些分子亚型在决定新辅助化疗中起主要作用。值得注意的是,新辅助化疗的使用与更高的病理完全缓解相关。该研究的目的是确定乳腺癌亚型在新辅助化疗方案的疗效和预后中的预测作用。方法:结合剂量密集蒽环类、常规剂量蒽环类和非蒽环类化疗,观察2015年1月至2018年7月在我院接受新辅助化疗后接受手术的87例乳腺癌患者的数据。采用免疫组化方法将患者分为luminal A、luminal B、HER2过表达、三阴性乳腺癌以及Ki67低表达组(≤14%)和高表达组(>14%)。病理完全缓解是唯一的新辅助化疗结果参数。为了评估与病理完全缓解相关的变量,我们使用单变量分析,然后是多变量逻辑回归。结果:根据第12届圣加仑国际乳腺癌会议,87例乳腺癌患者被分为不同的亚型。亚组间新辅助化疗有效率差异有统计学意义(p = 0.046)。病理完全缓解(pCR)与ER状态(p < 0.0001)、HER2 (p = 0.013)、分子亚型(p = 0.018)、T分期(p = 0.024)、化疗前N分期(p = 0.04)、化疗方式(p = 0.029)均有显著相关性。Luminal B型患者pCR最低,其次是Luminal A型患者。结论:评估分子亚型在乳腺癌预后中的意义,需要在我们地区进行更多的研究,并提供关于患者特异性新辅助化疗方案的大量数据。我们的研究能够再现与文献中其他结果相补充的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Clinical Significance of Breast Cancer Molecular Subtypes and Ki67 Expression as a Predictive Value for Pathological Complete Response following Neoadjuvant Chemotherapy: Experience from a Tertiary Care Center in Lebanon.

Clinical Significance of Breast Cancer Molecular Subtypes and Ki67 Expression as a Predictive Value for Pathological Complete Response following Neoadjuvant Chemotherapy: Experience from a Tertiary Care Center in Lebanon.

Introduction: Breast cancer is considered nowadays the most prevalent cancer worldwide. The molecular era has successfully divided breast cancer into subtypes based on the various hormonal receptors. These molecular subtypes play a major role in determining the neoadjuvant chemotherapy to be administered. It was noted that the use of neoadjuvant chemotherapy was associated with higher achievement of pathological complete response. The aim of the study was to determine the predictive role of breast cancer subtypes in the efficacy and prognosis of neoadjuvant chemotherapy regimens.

Methods: Combining dose dense anthracycline-based, regular dose anthracycline-based, and nonanthracycline-based chemotherapy, we observed data from 87 patients with breast cancer who received surgery after administration of neoadjuvant chemotherapy at our institution between January 2015 and July 2018. The patients were classified into luminal A, luminal B, HER2 overexpression, and triple negative breast cancer as well as low Ki67 (≤14%) and high Ki67 (>14%) expression groups using immunohistochemistry. Pathologic complete response was the only neoadjuvant chemotherapy outcome parameter. To evaluate variables associated with pathologic complete response, we used univariate analyses followed by multivariate logistic regression.

Results: 87 patients with breast cancer were classified into different subtypes according to the 12th St. Gallen International Breast Cancer Conference. The response rate to neoadjuvant chemotherapy was significantly different (p = 0.046) between the subgroups. There were significant correlations between pathological complete response (pCR) and ER status (p < 0.0001), HER2 (p = 0.013), molecular subtypes (p = 0.018), T stage (p = 0.024), N stage before chemotherapy (p = 0.04), and type of chemotherapy (p = 0.029). Luminal B type patients had the lowest pCR, followed by luminal A type patients.

Conclusion: Evaluating molecular subtype's significance in breast cancer prognosis warrants additional studies in our region with extensive data about patient-specific neoadjuvant chemotherapy regimens. Our study was able to reproduce results complementary to those present in the literature in other outcomes.

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来源期刊
CiteScore
3.40
自引率
0.00%
发文量
25
审稿时长
19 weeks
期刊介绍: International Journal of Breast Cancer is a peer-reviewed, Open Access journal that provides a forum for scientists, clinicians, and health care professionals working in breast cancer research and management. The journal publishes original research articles, review articles, and clinical studies related to molecular pathology, genomics, genetic predisposition, screening and diagnosis, disease markers, drug sensitivity and resistance, as well as novel therapies, with a specific focus on molecular targeted agents and immune therapies.
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