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乳腺癌新辅助化疗反应的预测因素:综述
Authors Xu W, Chen X, Deng F, Zhang J, Zhang W, Tang J
Received 9 March 2020
Accepted for publication 18 May 2020
Published 22 June 2020 Volume 2020:13 Pages 5887—5899
DOI https://doi.org/10.2147/OTT.S253056
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Dr Leo Jen-Liang Su
Abstract: Neoadjuvant chemotherapy (NAC) largely increases operative chances and improves prognosis of the local advanced breast cancer patients. However, no specific means have been invented to predict the therapy responses of patients receiving NAC. Therefore, we focus on the alterations of tumor tissue-related microenvironments such as stromal tumor-infiltrating lymphocytes status, cyclin-dependent kinase expression, non-coding RNA transcription or other small molecular changes, in order to detect potentially predicted biomarkers which reflect the therapeutic efficacy of NAC in different subtypes of breast cancer. Further, possible mechanisms are also discussed to discover feasible treatment targets. Thus, these findings will be helpful to promote the prognosis of breast cancer patients who received NAC and summarized in this review.
Keywords: breast cancer, neoadjuvant, chemotherapy, response, predictor
