Functional genomics for breast cancer drug target discovery
Autor: | Yusuke Nakamura, Toyomasa Katagiri, Tetsuro Yoshimaru |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
medicine.medical_treatment Antineoplastic Agents Breast Neoplasms Disease Review Article Maternal embryonic leucine zipper kinase Metastasis 03 medical and health sciences 0302 clinical medicine Breast cancer Genetics medicine Humans Epidermal growth factor receptor Epigenetics Genetics (clinical) Cancer biology business.industry Drug discovery Genomics medicine.disease Radiation therapy 030104 developmental biology 030220 oncology & carcinogenesis Cancer research biology.protein Female business Functional genomics |
Zdroj: | Journal of Human Genetics |
ISSN: | 1434-5161 |
Popis: | 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. |
Databáze: | OpenAIRE |
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