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Functional genomics for breast cancer drug target discovery
Breast cancer is a heterogeneous disease that develops through a multistep process via the accumulation of genetic/epigenetic alterations in various cancer-related genes. Current treatment options for breast cancer patients include surgery, radiotherapy, and chemotherapy including conventional cytot...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384626/ https://www.ncbi.nlm.nih.gov/pubmed/34285339 http://dx.doi.org/10.1038/s10038-021-00962-6 |
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author | Yoshimaru, Tetsuro Nakamura, Yusuke Katagiri, Toyomasa |
author_facet | Yoshimaru, Tetsuro Nakamura, Yusuke Katagiri, Toyomasa |
author_sort | Yoshimaru, Tetsuro |
collection | PubMed |
description | Breast cancer is a heterogeneous disease that develops through a multistep process via the accumulation of genetic/epigenetic alterations in various cancer-related genes. Current treatment options for breast cancer patients include surgery, radiotherapy, and chemotherapy including conventional cytotoxic and molecular-targeted anticancer drugs for each intrinsic subtype, such as endocrine therapy and antihuman epidermal growth factor receptor 2 (HER2) therapy. However, these therapies often fail to prevent recurrence and metastasis due to resistance. Overall, understanding the molecular mechanisms of breast carcinogenesis and progression will help to establish therapeutic modalities to improve treatment. The recent development of comprehensive omics technologies has led to the discovery of driver genes, including oncogenes and tumor-suppressor genes, contributing to the development of molecular-targeted anticancer drugs. Here, we review the development of anticancer drugs targeting cancer-specific functional therapeutic targets, namely, MELK (maternal embryonic leucine zipper kinase), TOPK (T-lymphokine-activated killer cell-originated protein kinase), and BIG3 (brefeldin A-inhibited guanine nucleotide-exchange protein 3), as identified through comprehensive breast cancer transcriptomics. |
format | Online Article Text |
id | pubmed-8384626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-83846262021-09-09 Functional genomics for breast cancer drug target discovery Yoshimaru, Tetsuro Nakamura, Yusuke Katagiri, Toyomasa J Hum Genet Review Article Breast cancer is a heterogeneous disease that develops through a multistep process via the accumulation of genetic/epigenetic alterations in various cancer-related genes. Current treatment options for breast cancer patients include surgery, radiotherapy, and chemotherapy including conventional cytotoxic and molecular-targeted anticancer drugs for each intrinsic subtype, such as endocrine therapy and antihuman epidermal growth factor receptor 2 (HER2) therapy. However, these therapies often fail to prevent recurrence and metastasis due to resistance. Overall, understanding the molecular mechanisms of breast carcinogenesis and progression will help to establish therapeutic modalities to improve treatment. The recent development of comprehensive omics technologies has led to the discovery of driver genes, including oncogenes and tumor-suppressor genes, contributing to the development of molecular-targeted anticancer drugs. Here, we review the development of anticancer drugs targeting cancer-specific functional therapeutic targets, namely, MELK (maternal embryonic leucine zipper kinase), TOPK (T-lymphokine-activated killer cell-originated protein kinase), and BIG3 (brefeldin A-inhibited guanine nucleotide-exchange protein 3), as identified through comprehensive breast cancer transcriptomics. Springer Singapore 2021-07-20 2021 /pmc/articles/PMC8384626/ /pubmed/34285339 http://dx.doi.org/10.1038/s10038-021-00962-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Yoshimaru, Tetsuro Nakamura, Yusuke Katagiri, Toyomasa Functional genomics for breast cancer drug target discovery |
title | Functional genomics for breast cancer drug target discovery |
title_full | Functional genomics for breast cancer drug target discovery |
title_fullStr | Functional genomics for breast cancer drug target discovery |
title_full_unstemmed | Functional genomics for breast cancer drug target discovery |
title_short | Functional genomics for breast cancer drug target discovery |
title_sort | functional genomics for breast cancer drug target discovery |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384626/ https://www.ncbi.nlm.nih.gov/pubmed/34285339 http://dx.doi.org/10.1038/s10038-021-00962-6 |
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