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Potential alternative drug treatment for bone giant cell tumor
Background: Bone giant cell tumor (BGCT) is one of the world’s major disease types of locally aggressive bone tumors. In recent years, denosumab treatment has been introduced before curettage surgery. However, the current therapeutic was practical only sometimes, given the local recurrence effects a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294225/ https://www.ncbi.nlm.nih.gov/pubmed/37384251 http://dx.doi.org/10.3389/fcell.2023.1193217 |
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author | Chen, Zhangxin Zhang, Cong Hong, Haisen Xu, Wenbin Sha, Mo Ding, Zhenqi |
author_facet | Chen, Zhangxin Zhang, Cong Hong, Haisen Xu, Wenbin Sha, Mo Ding, Zhenqi |
author_sort | Chen, Zhangxin |
collection | PubMed |
description | Background: Bone giant cell tumor (BGCT) is one of the world’s major disease types of locally aggressive bone tumors. In recent years, denosumab treatment has been introduced before curettage surgery. However, the current therapeutic was practical only sometimes, given the local recurrence effects after discontinuation of denosumab. Due to the complex nature of BGCT, this study aims to use bioinformatics to identify potential genes and drugs associated with BGCT. Methods: The genes that integrate BGCT and fracture healing were determined by text mining. The gene was obtained from the pubmed2ensembl website. We filtered out common genes for the function, and signal pathway enrichment analyses were implemented. The protein–protein interaction (PPI) networks and the hub genes were screened by MCODE built-in Cytoscape software. Lastly, the confirmed genes were queried in the Drug Gene Interaction Database to determine potential genes and drugs. Results: Our study finally identified 123 common specific genes in bone giant cell tumors and fracture healing text mining concepts. The GO enrichment analysis finally analyzed 115 characteristic genes in BP, CC, and MF. We selected 10 KEGG pathways and identified 68 characteristic genes. We performed protein–protein interaction analysis (PPI) on 68 selected genes and finally identified seven central genes. In this study, these seven genes were substituted into drug–gene interactions, and there were 15 antineoplastic drugs, 1 anti-involving drug, and 1 anti-influenza drug. Conclusion: The 7 genes (including ANGPT2, COL1A1, COL1A2, CTSK, FGFR1, NTRK2, and PDGFB) and 17 drugs, which have not been used in BGCT, but 6 of them approved by the FDA for other diseases, could be potential genes and drugs, respectively, to improve BGCT treatment. In addition, the correlation study and analysis of potential drugs through genes provide great opportunities to promote the repositioning of drugs and the study of pharmacology in the pharmaceutical industry. |
format | Online Article Text |
id | pubmed-10294225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102942252023-06-28 Potential alternative drug treatment for bone giant cell tumor Chen, Zhangxin Zhang, Cong Hong, Haisen Xu, Wenbin Sha, Mo Ding, Zhenqi Front Cell Dev Biol Cell and Developmental Biology Background: Bone giant cell tumor (BGCT) is one of the world’s major disease types of locally aggressive bone tumors. In recent years, denosumab treatment has been introduced before curettage surgery. However, the current therapeutic was practical only sometimes, given the local recurrence effects after discontinuation of denosumab. Due to the complex nature of BGCT, this study aims to use bioinformatics to identify potential genes and drugs associated with BGCT. Methods: The genes that integrate BGCT and fracture healing were determined by text mining. The gene was obtained from the pubmed2ensembl website. We filtered out common genes for the function, and signal pathway enrichment analyses were implemented. The protein–protein interaction (PPI) networks and the hub genes were screened by MCODE built-in Cytoscape software. Lastly, the confirmed genes were queried in the Drug Gene Interaction Database to determine potential genes and drugs. Results: Our study finally identified 123 common specific genes in bone giant cell tumors and fracture healing text mining concepts. The GO enrichment analysis finally analyzed 115 characteristic genes in BP, CC, and MF. We selected 10 KEGG pathways and identified 68 characteristic genes. We performed protein–protein interaction analysis (PPI) on 68 selected genes and finally identified seven central genes. In this study, these seven genes were substituted into drug–gene interactions, and there were 15 antineoplastic drugs, 1 anti-involving drug, and 1 anti-influenza drug. Conclusion: The 7 genes (including ANGPT2, COL1A1, COL1A2, CTSK, FGFR1, NTRK2, and PDGFB) and 17 drugs, which have not been used in BGCT, but 6 of them approved by the FDA for other diseases, could be potential genes and drugs, respectively, to improve BGCT treatment. In addition, the correlation study and analysis of potential drugs through genes provide great opportunities to promote the repositioning of drugs and the study of pharmacology in the pharmaceutical industry. Frontiers Media S.A. 2023-06-13 /pmc/articles/PMC10294225/ /pubmed/37384251 http://dx.doi.org/10.3389/fcell.2023.1193217 Text en Copyright © 2023 Chen, Zhang, Hong, Xu, Sha and Ding. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Chen, Zhangxin Zhang, Cong Hong, Haisen Xu, Wenbin Sha, Mo Ding, Zhenqi Potential alternative drug treatment for bone giant cell tumor |
title | Potential alternative drug treatment for bone giant cell tumor |
title_full | Potential alternative drug treatment for bone giant cell tumor |
title_fullStr | Potential alternative drug treatment for bone giant cell tumor |
title_full_unstemmed | Potential alternative drug treatment for bone giant cell tumor |
title_short | Potential alternative drug treatment for bone giant cell tumor |
title_sort | potential alternative drug treatment for bone giant cell tumor |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294225/ https://www.ncbi.nlm.nih.gov/pubmed/37384251 http://dx.doi.org/10.3389/fcell.2023.1193217 |
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