Literature DB >> 33096117

Molecular mechanisms of breast cancer chemoresistance by immune checkpoints.

Narges Dastmalchi1, Reza Safaralizadeh2, Amir Baghbanzadeh3, Khalil Hajiasgharzadeh4, Elmira Roshani Asl5, Mohammad Amini3, Behzad Baradaran6.   

Abstract

Progression of resistance to chemotherapy in breast cancer (BC) has been recognized as a main factor in decreasing the survival of patients with this malignancy. Recent investigations have described the involvement of immune checkpoint molecules in the progress of drug resistance in breast carcinoma patients. In the present study, the molecular participation of immune checkpoint factors in chemoresistance of BC both in-vitro and in-vivo is reviewed. Numerous immune checkpoints such as PD-1/PD-L1, CTLA-4, B7-H3, B7-H4, B7-1, and B7-2 have been specified as positive regulators of resistance to various drug types in BC. In several molecular pathways of drug resistance in BC, immune checkpoints affect the chemoresistance of this cancer in a drug- and cell-type-dependent manner. In addition, immune checkpoints promote chemoresistance in response to particular drugs in specific BC cell lines. Furthermore, several the immune checkpoint molecules have not been evaluated in the field of the chemoresistance in breast malignancy either in-vitro or in-vivo. Overall, investigations have indicated that targeting immune checkpoint molecules may be considered as a novel method to improve existing anti-BC treatments.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast Cancer Biology; Chemoresistance; Immune checkpoint; Therapeutic molecules

Mesh:

Substances:

Year:  2020        PMID: 33096117     DOI: 10.1016/j.lfs.2020.118604

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  3 in total

1.  B7 homolog 3 induces lung metastasis of breast cancer through Raf/MEK/ERK axis.

Authors:  Shuai Wang; Xinyan Zhang; Houfa Ning; Senyi Dong; Guangzhi Wang; Ruimei Sun
Journal:  Breast Cancer Res Treat       Date:  2022-03-21       Impact factor: 4.872

2.  Genetic co-expression networks contribute to creating predictive model and exploring novel biomarkers for the prognosis of breast cancer.

Authors:  Yuan-Kuei Li; Huan-Ming Hsu; Meng-Chiung Lin; Chi-Wen Chang; Chi-Ming Chu; Yu-Jia Chang; Jyh-Cherng Yu; Chien-Ting Chen; Chen-En Jian; Chien-An Sun; Kang-Hua Chen; Ming-Hao Kuo; Chia-Shiang Cheng; Ya-Ting Chang; Yi-Syuan Wu; Hao-Yi Wu; Ya-Ting Yang; Chen Lin; Hung-Che Lin; Je-Ming Hu; Yu-Tien Chang
Journal:  Sci Rep       Date:  2021-03-31       Impact factor: 4.379

3.  Immune-Related Genes to Construct a Novel Prognostic Model of Breast Cancer: A Chemosensitivity-Based Study.

Authors:  Zhi-Min Deng; Wei Hu; Fang-Fang Dai; Meng-Qin Yuan; Min Hu; Yan-Xiang Cheng
Journal:  Front Immunol       Date:  2021-10-26       Impact factor: 7.561

  3 in total

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