4.7 Article

Text-Mining Approach to Identify Hub Genes of Cancer Metastasis and Potential Drug Repurposing to Target Them

期刊

JOURNAL OF CLINICAL MEDICINE
卷 11, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/jcm11082130

关键词

cancer metastasis; drug repurposing; text-mining; hub genes

资金

  1. Israel Cancer Research Fund [20-101-PG]
  2. Israel Cancer Association [20210071]
  3. Israel Science Foundation [2142/21]
  4. Ginsberg Foundation
  5. Katz foundation

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This study identifies genes associated with metastasis and explores potential drugs that can target these genes. A total of 77 hub genes and 50 repurposable drugs were identified, providing opportunities for the development of anti-metastatic drugs.
Metastasis accounts for the majority of cancer-related deaths. Despite decades of research, the prevention and suppression of metastasis remain an elusive goal, and to date, only a few metastasis-related genes have been targeted therapeutically. Thus, there is a strong need to find potential genes involved in key driver traits of metastasis and their available drugs. In this study, we identified genes associated with metastasis and repurposable drugs that potentially target them. First, we use text mining of PubMed citations to identify candidate genes associated with metastatic processes, such as invadopodia, motility, movement, metastasis, invasion, wound healing, EMT (epithelial to mesenchymal transition), and podosome. Next, we annotated the top genes involved in each process as a driver, tumor suppressor, or oncogene. Then, a total of 185 unique cancer genes involved in metastasis-related processes were used for hub gene analysis using bioinformatics tools. Notably, a total of 77 hub genes were identified. Further, we used virtual screening data of druggable candidate hub genes involved in metastasis and identified potential drugs that can be repurposed as anti-metastatic drugs. Remarkably, we found a total of 50 approved drugs that have the potential to be repurposed against 19 hub genes involved in metastasis-related processes. These 50 drugs were also found to be validated in different cancer cell lines, such as dasatinib, captopril, leflunomide, and dextromethorphan targeting SRC, MMP2, PTK2B, and RAC1 hub genes, respectively. These repurposed drugs potentially target metastasis, provide pharmacodynamic insight, and offer a window of opportunity for the development of much-needed antimetastatic drugs.

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