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三阴性乳腺癌与新辅助化疗反应的预测标志物:一项系统综述。

Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review.

机构信息

Department of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands.

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands.

出版信息

Int J Mol Sci. 2023 Feb 3;24(3):2969. doi: 10.3390/ijms24032969.

Abstract

Around 40-50% of all triple-negative breast cancer (TNBC) patients achieve a pathological complete response (pCR) after treatment with neoadjuvant chemotherapy (NAC). The identification of biomarkers predicting the response to NAC could be helpful for personalized treatment. This systematic review provides an overview of putative biomarkers at baseline that are predictive for a pCR following NAC. Embase, Medline and Web of Science were searched for articles published between January 2010 and August 2022. The articles had to meet the following criteria: patients with primary invasive TNBC without distant metastases and patients must have received NAC. In total, 2045 articles were screened by two reviewers resulting in the inclusion of 92 articles. Overall, the most frequently reported biomarkers associated with a pCR were a high expression of Ki-67, an expression of PD-L1 and the abundance of tumor-infiltrating lymphocytes, particularly CD8+ T cells, and corresponding immune gene signatures. In addition, our review reveals proteomic, genomic and transcriptomic markers that relate to cancer cells, the tumor microenvironment and the peripheral blood, which also affect chemo-sensitivity. We conclude that a prediction model based on a combination of tumor and immune markers is likely to better stratify TNBC patients with respect to NAC response.

摘要

大约 40-50%的三阴性乳腺癌 (TNBC) 患者在接受新辅助化疗 (NAC) 后可获得病理完全缓解 (pCR)。鉴定预测 NAC 反应的生物标志物可能有助于个性化治疗。本系统评价概述了基线时具有预测 NAC 后 pCR 潜力的假定生物标志物。在 2010 年 1 月至 2022 年 8 月期间,在 Embase、Medline 和 Web of Science 上搜索了发表的文章。这些文章必须符合以下标准:患有无远处转移的原发性浸润性 TNBC 的患者和必须接受 NAC 的患者。总共由两名审查员筛选了 2045 篇文章,最终纳入了 92 篇文章。总体而言,与 pCR 相关的最常报道的生物标志物是 Ki-67 高表达、PD-L1 表达和肿瘤浸润淋巴细胞(尤其是 CD8+T 细胞)的丰度,以及相应的免疫基因特征。此外,我们的综述揭示了与癌细胞、肿瘤微环境和外周血相关的蛋白质组学、基因组学和转录组学标记,这些标记也影响化疗敏感性。我们得出结论,基于肿瘤和免疫标志物组合的预测模型可能更能对 NAC 反应的 TNBC 患者进行分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae64/9918290/735c192dc656/ijms-24-02969-g001.jpg

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