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

被引:36
|
作者
van den Ende, Nadine S. S. [1 ]
Nguyen, Anh H. H. [1 ]
Jager, Agnes [2 ]
Kok, Marleen [3 ]
Debets, Reno [2 ]
van Deurzen, Carolien H. M. [1 ]
机构
[1] Erasmus MC, Erasmus MC Canc Inst, Dept Pathol, NL-3015 GD Rotterdam, Netherlands
[2] Erasmus MC, Erasmus MC Canc Inst, Dept Med Oncol, NL-3015 GD Rotterdam, Netherlands
[3] Netherlands Canc Inst, Dept Med Oncol Tumor Biol & Immunol, NL-1066 CX Amsterdam, Netherlands
关键词
TNBC; breast cancer; NAC; TILs; Ki-67; prediction; pCR; TUMOR-INFILTRATING LYMPHOCYTES; PATHOLOGICAL COMPLETE RESPONSE; PROGNOSTIC VALUE; PREOPERATIVE CHEMOTHERAPY; THERAPEUTIC RESPONSE; POOR-PROGNOSIS; EXPRESSION; ANTHRACYCLINE; RESISTANCE; EFFICACY;
D O I
10.3390/ijms24032969
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
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页数:22
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