Literature DB >> 32192349

Biomarkers of neoadjuvant/adjuvant chemotherapy for breast cancer.

Takayuki Iwamoto1, Yukiko Kajiwara2, Yidan Zhu2, Shigemichi Iha3.   

Abstract

The improvement of tumor biomarkers prepared for clinical use is a long process. A good biomarker should predict not only prognosis but also the response to therapies. In this review, we describe the biomarkers of neoadjuvant/adjuvant chemotherapy for breast cancer, considering different breast cancer subtypes. In hormone receptor (HR)-positive/human epidermal growth factor 2 (HER2)-negative breast cancers, various genomic markers highly associated with proliferation have been tested. Among them, only two genomic signatures, the 21-gene recurrence score and 70-gene signature, have been reported in prospective randomized clinical trials and met the primary endpoint. However, these genomic markers did not suffice in HER2-positive and triple-negative (TN) breast cancers, which present only classical clinical and pathological information (tumor size, nodal or distant metastatic status) for decision making in the adjuvant setting in daily clinic. Recently, patients with residual invasive cancer after neoadjuvant chemotherapy are at a high-risk of recurrence for metastasis, which, in turn, make these patients best applicants for clinical trials. Two clinical trials have shown improved outcomes with post-operative capecitabine and ado-trastuzumab emtansine treatment in patients with either TN or HER2-positive breast cancer, respectively, who had residual disease after neoadjuvant chemotherapy. Furthermore, tumor-infiltrating lymphocytes (TILs) have been reported to have a predictive value for prognosis and response to chemotherapy from the retrospective analyses. So far, TILs have to not be used to either withhold or prescribe chemotherapy based on the absence of standardized evaluation guidelines and confirmed information. To overcome the low reproducibility of evaluations of TILs, gene signatures or digital image analysis and machine learning algorithms with artificial intelligence may be useful for standardization of assessment for TILs in the future.

Entities:  

Keywords:  Biomarker; breast cancer; chemotherapy; gene expression

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Year:  2020        PMID: 32192349     DOI: 10.21037/cco.2020.01.06

Source DB:  PubMed          Journal:  Chin Clin Oncol        ISSN: 2304-3865


  4 in total

1.  Neoadjuvant Chemotherapy Combined with Breast-Conserving Surgery in the Treatment of Triple-Negative Breast Cancer.

Authors:  Xiaoyu Zhang; Huixin Li; Feng Wu; Dan Sun; Hengle Zhang; Lijun Jin; Xiaoning Kang; Zunyi Wang
Journal:  J Oncol       Date:  2022-05-26       Impact factor: 4.501

2.  Clinical curative effect of neoadjuvant chemotherapy combined with immunotherapy and its impact on immunological function and the expression of ER, PR, HER-2 & SATB1 in HER-2-Positive breast cancer patients.

Authors:  Zhi Chen; Mei-Xiang Sang; Cui-Zhi Geng; Wei Hao; Hui-Qun Jia
Journal:  Pak J Med Sci       Date:  2022 Mar-Apr       Impact factor: 1.088

Review 3.  Breast Cancer Patients: Who Would Benefit from Neoadjuvant Chemotherapies?

Authors:  Liqin Yao; Gang Jia; Lingeng Lu; Wenxue Ma
Journal:  Curr Oncol       Date:  2022-07-12       Impact factor: 3.109

4.  MRI Images-Based Evaluation of Efficacy of Neoadjuvant Chemotherapy for Breast Cancer and Its Effect on Depression and Immune Function of Patients.

Authors:  Ying Nie; Yingjuan He; Jianzhi Wang; Hongjun Zhang; Junpeng Su
Journal:  Contrast Media Mol Imaging       Date:  2022-09-05       Impact factor: 3.009

  4 in total

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