Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen
Background: Tamoxifen resistance in estrogen receptor positive (ER+) breast cancer therapy increases, which is the leading cause of cancer treatment failure, as it can impair patients’ prognoses, cause cancer recurrence, metastasis, and death. Combination therapy with compounds is needed to overcome...
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| Format: | Article |
| Language: | English |
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Academy of Scientific Research and Technology
2022
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| Online Access: | https://repository.ugm.ac.id/283950/1/Ibadurrahman_FA.pdf |
| _version_ | 1826050717886971904 |
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| author | Ibadurrahman, Wilfan Hanif, Naufa Hermawan, Adam |
| author_facet | Ibadurrahman, Wilfan Hanif, Naufa Hermawan, Adam |
| author_sort | Ibadurrahman, Wilfan |
| collection | UGM |
| description | Background: Tamoxifen resistance in estrogen receptor positive (ER+) breast cancer therapy increases, which is the leading cause of cancer treatment failure, as it can impair patients’ prognoses, cause cancer recurrence, metastasis, and death. Combination therapy with compounds is needed to overcome tamoxifen resistance. Oleanolic acid (OA) was known to increase tamoxifen sensitivity in tamoxifen-resistant breast cancer; however, the molecular mechanism of OA and its involvement in overcoming tamoxifen resistance remain unknown and need further investigation. This study was conducted to identify the potential gene targets and molecular mechanisms of OA in overcoming tamoxifen resistance. Results: A bioinformatic approach for functional network analysis was used in silico by utilizing secondary data in the Gene Expression Omnibus (GEO) database and analyzing them with GEO2R to obtain data on differentially expressed genes (DEGs). The DEG data were further examined with Database for Annotation, Visualization, and Integrated Discovery (DAVID), STRING, cBioPortal website, and Cytoscape with its plugin CytoHubba. Molecular docking was performed to predict the binding properties of OA on the protein encoded by the potential gene. CD44, FGFR2, PIK3R1, and MDM2 were designated as potential target genes (PTGs), and PIK3R1 was suspected as the potential gene for OA to overcome tamoxifen resistance. Molecular docking confirms that OA can inhibit p85 activation. PIK3R1 is suggested to be the potential gene for OA in overcoming tamoxifen resistance in breast cancer therapy. Conclusion: The predicted molecular mechanism of OA in overcoming tamoxifen resistance involves inhibiting p85 activation, leading to the inhibition of the downstream activity of the PI3K signaling pathway, causing breast cancer to respond to tamoxifen therapy once again. Results of this study need to be validated by further studies, including in vitro and in vivo. |
| first_indexed | 2024-03-14T00:09:01Z |
| format | Article |
| id | oai:generic.eprints.org:283950 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:09:01Z |
| publishDate | 2022 |
| publisher | Academy of Scientific Research and Technology |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2839502023-11-24T07:24:08Z https://repository.ugm.ac.id/283950/ Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen Ibadurrahman, Wilfan Hanif, Naufa Hermawan, Adam Pharmaceutical Sciences Pharmacology and Pharmaceutical Sciences Background: Tamoxifen resistance in estrogen receptor positive (ER+) breast cancer therapy increases, which is the leading cause of cancer treatment failure, as it can impair patients’ prognoses, cause cancer recurrence, metastasis, and death. Combination therapy with compounds is needed to overcome tamoxifen resistance. Oleanolic acid (OA) was known to increase tamoxifen sensitivity in tamoxifen-resistant breast cancer; however, the molecular mechanism of OA and its involvement in overcoming tamoxifen resistance remain unknown and need further investigation. This study was conducted to identify the potential gene targets and molecular mechanisms of OA in overcoming tamoxifen resistance. Results: A bioinformatic approach for functional network analysis was used in silico by utilizing secondary data in the Gene Expression Omnibus (GEO) database and analyzing them with GEO2R to obtain data on differentially expressed genes (DEGs). The DEG data were further examined with Database for Annotation, Visualization, and Integrated Discovery (DAVID), STRING, cBioPortal website, and Cytoscape with its plugin CytoHubba. Molecular docking was performed to predict the binding properties of OA on the protein encoded by the potential gene. CD44, FGFR2, PIK3R1, and MDM2 were designated as potential target genes (PTGs), and PIK3R1 was suspected as the potential gene for OA to overcome tamoxifen resistance. Molecular docking confirms that OA can inhibit p85 activation. PIK3R1 is suggested to be the potential gene for OA in overcoming tamoxifen resistance in breast cancer therapy. Conclusion: The predicted molecular mechanism of OA in overcoming tamoxifen resistance involves inhibiting p85 activation, leading to the inhibition of the downstream activity of the PI3K signaling pathway, causing breast cancer to respond to tamoxifen therapy once again. Results of this study need to be validated by further studies, including in vitro and in vivo. Academy of Scientific Research and Technology 2022-04-28 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/283950/1/Ibadurrahman_FA.pdf Ibadurrahman, Wilfan and Hanif, Naufa and Hermawan, Adam (2022) Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen. Journal of Genetic Engineering and Biotechnology, 20 (66). pp. 1-14. ISSN 1687157X https://jgeb.springeropen.com/articles/10.1186/s43141-022-00341-4 https:// doi. org/ 10. 1186/ s43141- 022- 00341-4. |
| spellingShingle | Pharmaceutical Sciences Pharmacology and Pharmaceutical Sciences Ibadurrahman, Wilfan Hanif, Naufa Hermawan, Adam Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen |
| title | Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen |
| title_full | Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen |
| title_fullStr | Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen |
| title_full_unstemmed | Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen |
| title_short | Functional network analysis of p85 and PI3K as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen |
| title_sort | functional network analysis of p85 and pi3k as potential gene targets and mechanism of oleanolic acid in overcoming breast cancer resistance to tamoxifen |
| topic | Pharmaceutical Sciences Pharmacology and Pharmaceutical Sciences |
| url | https://repository.ugm.ac.id/283950/1/Ibadurrahman_FA.pdf |
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