Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs
Objective: The prevalence of breast cancer and gynaecological cancers is high, and these cancer types can occur consecutively as secondary cancers. The aim of our study is to determine the genes commonly expressed in these cancers and to identify the common hub genes and drug components. Materials...
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| Format: | Article |
| Language: | English |
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Galenos Publishing House
2025-01-01
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| Series: | European Journal of Breast Health |
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| Online Access: | https://www.eurjbreasthealth.com/articles/bioinformatics-based-drug-repurposing-approach-for-breast-and-gynecological-cancers-lessemgreaterrecql4fam13c-lessemgreatergenes-address-common-hub-genes-and-drugs/doi/ejbh.galenos.2024.2024-11-2 |
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| _version_ | 1841556256049856512 |
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| author | Gizem Ayna Duran |
| author_facet | Gizem Ayna Duran |
| author_sort | Gizem Ayna Duran |
| collection | DOAJ |
| description | Objective: The prevalence of breast cancer and gynaecological cancers is high, and these cancer types can occur consecutively as secondary cancers. The aim of our study is to determine the genes commonly expressed in these cancers and to identify the common hub genes and drug components.
Materials and Methods: Gene intensity values of breast cancer, gynaecological cancers such as cervical, ovarian and endometrial cancers were used from the Gene Expression Omnibus database Affymetrix Human Genome U133 Plus 2.0 Array project. Using the linear modelling method included in the R LIMMA package, genes that differ between healthy individuals and cancer patients were identified. Hub genes were determined using cytoHubba in Cytoscape program. “ShinyGo 0.80” tool was used to determine the disease-specific biological KEGG pathways. Drug.MATADOR from the ShinyGo 0.80 tool was used to predict drug-target relationships.
Results: The RecQ Like Helicase 4 and Family with Sequence Similarity 13 Member C genes were found to be similarly expressed in breast cancer and gynaecological cancers. Upon KEGG pathway analyses with hub genes, Drug.MATADOR analysis with hub genes related to cancer related pathways was performed. We have determined these gene/drug interactions: NBN (targeted by Hydroxyurea), EP300 (targeted by Acetylcarnitine) and MAPK14 (targeted by Salicylate and Dibutyryl cyclic AMP).
Conclusion: The drugs associated with hub genes determined in our study are not routinely used in cancer treatment. Our study offers the opportunity to identify the target genes of drugs used in breast and gynaecological cancers with the drug repurposing approach. |
| format | Article |
| id | doaj-art-07b41f2032a246c88c6ca4ae0a70401d |
| institution | Kabale University |
| issn | 2587-0831 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Galenos Publishing House |
| record_format | Article |
| series | European Journal of Breast Health |
| spelling | doaj-art-07b41f2032a246c88c6ca4ae0a70401d2025-01-07T11:01:29ZengGalenos Publishing HouseEuropean Journal of Breast Health2587-08312025-01-01211637310.4274/ejbh.galenos.2024.2024-11-2Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and DrugsGizem Ayna Duran0https://orcid.org/0000-0002-2168-753XDepartment of Biomedical Engineering Faculty of Engineering, İzmir University of Economics, İzmir, TurkeyObjective: The prevalence of breast cancer and gynaecological cancers is high, and these cancer types can occur consecutively as secondary cancers. The aim of our study is to determine the genes commonly expressed in these cancers and to identify the common hub genes and drug components. Materials and Methods: Gene intensity values of breast cancer, gynaecological cancers such as cervical, ovarian and endometrial cancers were used from the Gene Expression Omnibus database Affymetrix Human Genome U133 Plus 2.0 Array project. Using the linear modelling method included in the R LIMMA package, genes that differ between healthy individuals and cancer patients were identified. Hub genes were determined using cytoHubba in Cytoscape program. “ShinyGo 0.80” tool was used to determine the disease-specific biological KEGG pathways. Drug.MATADOR from the ShinyGo 0.80 tool was used to predict drug-target relationships. Results: The RecQ Like Helicase 4 and Family with Sequence Similarity 13 Member C genes were found to be similarly expressed in breast cancer and gynaecological cancers. Upon KEGG pathway analyses with hub genes, Drug.MATADOR analysis with hub genes related to cancer related pathways was performed. We have determined these gene/drug interactions: NBN (targeted by Hydroxyurea), EP300 (targeted by Acetylcarnitine) and MAPK14 (targeted by Salicylate and Dibutyryl cyclic AMP). Conclusion: The drugs associated with hub genes determined in our study are not routinely used in cancer treatment. Our study offers the opportunity to identify the target genes of drugs used in breast and gynaecological cancers with the drug repurposing approach.https://www.eurjbreasthealth.com/articles/bioinformatics-based-drug-repurposing-approach-for-breast-and-gynecological-cancers-lessemgreaterrecql4fam13c-lessemgreatergenes-address-common-hub-genes-and-drugs/doi/ejbh.galenos.2024.2024-11-2breast cancergynaecological cancersdegshub genesdrug repurposingrecql4/fam13c |
| spellingShingle | Gizem Ayna Duran Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs European Journal of Breast Health breast cancer gynaecological cancers degs hub genes drug repurposing recql4/fam13c |
| title | Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs |
| title_full | Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs |
| title_fullStr | Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs |
| title_full_unstemmed | Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs |
| title_short | Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs |
| title_sort | bioinformatics based drug repurposing approach for breast and gynecological cancers recql4 fam13c genes address common hub genes and drugs |
| topic | breast cancer gynaecological cancers degs hub genes drug repurposing recql4/fam13c |
| url | https://www.eurjbreasthealth.com/articles/bioinformatics-based-drug-repurposing-approach-for-breast-and-gynecological-cancers-lessemgreaterrecql4fam13c-lessemgreatergenes-address-common-hub-genes-and-drugs/doi/ejbh.galenos.2024.2024-11-2 |
| work_keys_str_mv | AT gizemaynaduran bioinformaticsbaseddrugrepurposingapproachforbreastandgynecologicalcancersrecql4fam13cgenesaddresscommonhubgenesanddrugs |