Literature DB >> 32857605

The use of multi-omics data and approaches in breast cancer immunotherapy: a review.

Ka Lun Leung1, Devika Verma1, Younus Jamal Azam2, Emyr Bakker1.   

Abstract

Breast cancer is projected to be the most common cancer in women in 2020 in the USA. Despite high remission rates treatment side effects remain an issue, hence the interest in novel approaches such as immunotherapies which aim to utilize patients' immune systems to target cancer cells. This review summarizes the basics of breast cancer including staging and treatment options, followed by a discussion on immunotherapy, including immune checkpoint blockade. After this, examples of the role of omics-type data and computational biology/bioinformatics in breast cancer are explored. Ultimately, there are several promising areas to investigate such as the prediction of neoantigens and the use of multi-omics data to direct research, with noted appropriate in clinical trial design in terms of end points.

Entities:  

Keywords:  bioinformatics; breast cancer; computational biology; immunotherapy; multi-omics data; neoantigen; omics

Mesh:

Substances:

Year:  2020        PMID: 32857605     DOI: 10.2217/fon-2020-0143

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  2 in total

1.  Protein disulfide isomerase A1‑associated pathways in the development of stratified breast cancer therapies.

Authors:  Emyr Yosef Bakker; Masayuki Fujii; Marija Krstic-Demonacos; Constantinos Demonacos; Rashed Alhammad
Journal:  Int J Oncol       Date:  2022-01-11       Impact factor: 5.650

2.  Molecular Mechanisms of PD-1 and PD-L1 Activity on a Pan-Cancer Basis: A Bioinformatic Exploratory Study.

Authors:  Siddarth Kannan; Geraldine Martina O'Connor; Emyr Yosef Bakker
Journal:  Int J Mol Sci       Date:  2021-05-22       Impact factor: 5.923

  2 in total

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