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

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 p...

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Main Authors: Nadine S. van den Ende, Anh H. Nguyen, Agnes Jager, Marleen Kok, Reno Debets, Carolien H. M. van Deurzen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/3/2969
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author Nadine S. van den Ende
Anh H. Nguyen
Agnes Jager
Marleen Kok
Reno Debets
Carolien H. M. van Deurzen
author_facet Nadine S. van den Ende
Anh H. Nguyen
Agnes Jager
Marleen Kok
Reno Debets
Carolien H. M. van Deurzen
author_sort Nadine S. van den Ende
collection DOAJ
description 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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spelling doaj.art-9a6c13c3f72b41669baab8e20d48d3002023-11-16T17:05:02ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-02-01243296910.3390/ijms24032969Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic ReviewNadine S. van den Ende0Anh H. Nguyen1Agnes Jager2Marleen Kok3Reno Debets4Carolien H. M. van Deurzen5Department of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The NetherlandsDepartment of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The NetherlandsDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The NetherlandsDepartment of Medical Oncology, Tumor Biology & Immunology, Netherlands Cancer Institute, 1066 CX Amsterdam, The NetherlandsDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The NetherlandsDepartment of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Centre, 3015 GD Rotterdam, The NetherlandsAround 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.https://www.mdpi.com/1422-0067/24/3/2969TNBCbreast cancerNACTILsKi-67prediction
spellingShingle Nadine S. van den Ende
Anh H. Nguyen
Agnes Jager
Marleen Kok
Reno Debets
Carolien H. M. van Deurzen
Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review
International Journal of Molecular Sciences
TNBC
breast cancer
NAC
TILs
Ki-67
prediction
title Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review
title_full Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review
title_fullStr Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review
title_full_unstemmed Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review
title_short Triple-Negative Breast Cancer and Predictive Markers of Response to Neoadjuvant Chemotherapy: A Systematic Review
title_sort triple negative breast cancer and predictive markers of response to neoadjuvant chemotherapy a systematic review
topic TNBC
breast cancer
NAC
TILs
Ki-67
prediction
url https://www.mdpi.com/1422-0067/24/3/2969
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