Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma.
<h4>Background</h4>With the increasing incidence of papillary thyroid carcinoma (PTC), PTC continues to garner attention worldwide; however its pathogenesis remains to be elucidated. The purpose of this study was to explore key biomarkers and potential new therapeutic targets for, PTC.&l...
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oai:doaj.org-article:c5ca94385e264e21bee50e7c0e2179c82021-11-25T06:23:34ZIntegrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma.1932-620310.1371/journal.pone.0251962https://doaj.org/article/c5ca94385e264e21bee50e7c0e2179c82021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251962https://doaj.org/toc/1932-6203<h4>Background</h4>With the increasing incidence of papillary thyroid carcinoma (PTC), PTC continues to garner attention worldwide; however its pathogenesis remains to be elucidated. The purpose of this study was to explore key biomarkers and potential new therapeutic targets for, PTC.<h4>Methods</h4>GEO2R and Venn online software were used for screening of differentially expressed genes. Hub genes were screened via STRING and Cytoscape, followed by Gene Ontology and KEGG enrichment analysis. Finally, survival analysis and expression validation were performed using the UALCAN online software and immunohistochemistry.<h4>Results</h4>We identified 334 consistently differentially expressed genes (DEGs) comprising 136 upregulated and 198 downregulated genes. Gene Ontology enrichment analysis results suggested that the DEGs were mainly enriched in cancer-related pathways and functions. PPI network visualization was performed and 17 upregulated and 13 downregulated DEGs were selected. Finally, the expression verification and overall survival analysis conducted using the Gene Expression Profiling Interactive Analysis Tool (GEPIA) and UALCAN showed that LPAR5, TFPI, and ENTPD1 were associated with the development of PTC and the prognosis of PTC patients, and the expression of LPAR5, TFPI and ENTPD1 was verified using a tissue chip.<h4>Conclusions</h4>In summary, the hub genes and pathways identified in the present study not only provide information for the development of new biomarkers for PTC but will also be useful for elucidation of the pathogenesis of PTC.Rong FanLijin DongPing LiXiaoming WangXuewei ChenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0251962 (2021) |
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Medicine R Science Q Rong Fan Lijin Dong Ping Li Xiaoming Wang Xuewei Chen Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. |
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<h4>Background</h4>With the increasing incidence of papillary thyroid carcinoma (PTC), PTC continues to garner attention worldwide; however its pathogenesis remains to be elucidated. The purpose of this study was to explore key biomarkers and potential new therapeutic targets for, PTC.<h4>Methods</h4>GEO2R and Venn online software were used for screening of differentially expressed genes. Hub genes were screened via STRING and Cytoscape, followed by Gene Ontology and KEGG enrichment analysis. Finally, survival analysis and expression validation were performed using the UALCAN online software and immunohistochemistry.<h4>Results</h4>We identified 334 consistently differentially expressed genes (DEGs) comprising 136 upregulated and 198 downregulated genes. Gene Ontology enrichment analysis results suggested that the DEGs were mainly enriched in cancer-related pathways and functions. PPI network visualization was performed and 17 upregulated and 13 downregulated DEGs were selected. Finally, the expression verification and overall survival analysis conducted using the Gene Expression Profiling Interactive Analysis Tool (GEPIA) and UALCAN showed that LPAR5, TFPI, and ENTPD1 were associated with the development of PTC and the prognosis of PTC patients, and the expression of LPAR5, TFPI and ENTPD1 was verified using a tissue chip.<h4>Conclusions</h4>In summary, the hub genes and pathways identified in the present study not only provide information for the development of new biomarkers for PTC but will also be useful for elucidation of the pathogenesis of PTC. |
format |
article |
author |
Rong Fan Lijin Dong Ping Li Xiaoming Wang Xuewei Chen |
author_facet |
Rong Fan Lijin Dong Ping Li Xiaoming Wang Xuewei Chen |
author_sort |
Rong Fan |
title |
Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. |
title_short |
Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. |
title_full |
Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. |
title_fullStr |
Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. |
title_full_unstemmed |
Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. |
title_sort |
integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/c5ca94385e264e21bee50e7c0e2179c8 |
work_keys_str_mv |
AT rongfan integratedbioinformaticsanalysisandscreeningofhubgenesinpapillarythyroidcarcinoma AT lijindong integratedbioinformaticsanalysisandscreeningofhubgenesinpapillarythyroidcarcinoma AT pingli integratedbioinformaticsanalysisandscreeningofhubgenesinpapillarythyroidcarcinoma AT xiaomingwang integratedbioinformaticsanalysisandscreeningofhubgenesinpapillarythyroidcarcinoma AT xueweichen integratedbioinformaticsanalysisandscreeningofhubgenesinpapillarythyroidcarcinoma |
_version_ |
1718413825072431104 |