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Published on: July 17, 2019
Inhibition of activated Ras suppresses multiple oncogenic Hub genes in human epithelial tumors
Lei Cao1, Ping Wang2, Hui Luo1
1Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, P.R. China.
Abstract:
Cancer cells may involve diverse mutations, but they often rely on continued expression of a single oncoprotein for survival, as a response to targeting this protein. Generally, Ras is overexpressed in human epithelial tumors and cancellation of activated Ras inhibits carcinoma cell proliferation and differentiation ability, and induces apoptotosis of tumor cells. However, the mechanisms of inhibition of activated Ras that suppress the malignancy activity of human epithelial tumors remain to be illuminated. We utilized text-mining of MEDLINE abstracts with natural language processing to establish the Ras biologic association network, and identified several interactions of this network with the Ras pathway. Our investigation not only examined the expression of Ras and Hub genes (PIK3CA, MDM2, CCND1, EGFR, JUN, MYC, VEGFA, ERK1 and ERK2) but also confirmed inhibition of activated Ras reduced expression of multiple oncogene in vitro studies. Our studies provide strong support for the conclusion that cancellation of activated Ras specifically regulates defective Ras pathways in human tumor cells.
Insights
Targeting Ras oncoprotein in cancer cells halts proliferation and induces apoptosis. Inhibiting activated Ras reduces multiple oncogenes, revealing its crucial role in regulating defective Ras pathways in tumors.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Cancer cells often depend on a single oncoprotein for survival.
- Ras is frequently overexpressed in human epithelial tumors.
- Understanding Ras inhibition mechanisms is crucial for cancer therapy.
Purpose of the Study:
- To elucidate the mechanisms by which inhibiting activated Ras suppresses human epithelial tumor malignancy.
- To establish the Ras biologic association network using text-mining and natural language processing.
- To investigate the expression of Ras and key hub genes in response to Ras inhibition.
Main Methods:
- Text-mining of MEDLINE abstracts with natural language processing (NLP).
- Construction of the Ras biologic association network.
- In vitro studies to examine gene expression following Ras inhibition.
Main Results:
- Identified interactions within the Ras biologic association network and the Ras pathway.
- Examined the expression of Ras and hub genes (PIK3CA, MDM2, CCND1, EGFR, JUN, MYC, VEGFA, ERK1, ERK2).
- Confirmed that inhibiting activated Ras reduces the expression of multiple oncogenes in vitro.
Conclusions:
- Cancellation of activated Ras specifically regulates defective Ras pathways in human tumor cells.
- Ras inhibition demonstrates potential as a therapeutic strategy by downregulating oncogene expression.
- The study provides a network-based understanding of Ras's role in cancer progression.
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