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Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis
BACKGROUND: PLEK2 (pleckstrin) could bind to membrane‐bound phosphatidylinositols and further promote cell spread. Recently, several studies have noted the importance of PLEK2 in tumor metastasis. However, the role of PLEK2 in head and neck squamous cell carcinoma (HNSCC) remains to be elucidated. M...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446404/ https://www.ncbi.nlm.nih.gov/pubmed/34331382 http://dx.doi.org/10.1002/cam4.4163 |
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author | Wang, Jingyun Sun, Zhuang Wang, Jing Tian, Qihai Huang, Runda Wang, Hanyu Wang, Xiaohui Han, Fei |
author_facet | Wang, Jingyun Sun, Zhuang Wang, Jing Tian, Qihai Huang, Runda Wang, Hanyu Wang, Xiaohui Han, Fei |
author_sort | Wang, Jingyun |
collection | PubMed |
description | BACKGROUND: PLEK2 (pleckstrin) could bind to membrane‐bound phosphatidylinositols and further promote cell spread. Recently, several studies have noted the importance of PLEK2 in tumor metastasis. However, the role of PLEK2 in head and neck squamous cell carcinoma (HNSCC) remains to be elucidated. METHODS: The PLEK2 expression in HNSCC was identified using Oncomine, Gene Expression Omnibus (GEO), UALCAN databases, and western blot analysis. Prognosis analysis was performed using Kaplan–Meier plotter, DriverDBv3, UALCAN, UCSC Xena, and GEO databases. Single‐cell functional analysis was further performed using the cancerSEA database. The PLEK2‐related co‑expressed genes were identified, and gene set enrichment analysis was performed using LinkedOmics. Furthermore, the top 10 hub genes were identified using the cytoHubba plug‐in of Cytoscape. Then, gene enrichment analysis, pathway activity, and drug sensitivity analyses of the hub genes were performed using the R package “clusterProfiler” and GSCAlite. Finally, the UCSC Xena browser was utilized to explore the hub gene most likely to play a synergic role with PLEK2 in HNSCC. RESULTS: Elevated expression of PLEK2 was observed in HNSCC and even in HNSCC subgroups based on diverse clinicopathological features, portending a poor prognosis in HNSCC. PLEK2 was correlated with metastasis and hypoxia in HNSCC, and the PLEK2‐related co‐expressed genes were mainly involved in the focal adhesion pathway. The top 10 hub genes were primarily enriched in focal adhesion, HPV infection, ECM‐receptor interaction, and PI3K‐AKT signaling pathway, and epithelial–mesenchymal transition pathway was activated. Furthermore, the expression levels of the hub genes were associated with sensitivity and resistance to various small molecules and anti‐cancer drugs. Further study suggested that ITGA3 and PLEK2 might be viewed as inextricably linked in facilitating HNSCC metastasis. CONCLUSIONS: In general, PLEK2 might serve as a potential biomarker for the diagnosis of HNSCC and guide the development of targeted therapies for HNSCC. |
format | Online Article Text |
id | pubmed-8446404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84464042021-09-22 Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis Wang, Jingyun Sun, Zhuang Wang, Jing Tian, Qihai Huang, Runda Wang, Hanyu Wang, Xiaohui Han, Fei Cancer Med Bioinformatics BACKGROUND: PLEK2 (pleckstrin) could bind to membrane‐bound phosphatidylinositols and further promote cell spread. Recently, several studies have noted the importance of PLEK2 in tumor metastasis. However, the role of PLEK2 in head and neck squamous cell carcinoma (HNSCC) remains to be elucidated. METHODS: The PLEK2 expression in HNSCC was identified using Oncomine, Gene Expression Omnibus (GEO), UALCAN databases, and western blot analysis. Prognosis analysis was performed using Kaplan–Meier plotter, DriverDBv3, UALCAN, UCSC Xena, and GEO databases. Single‐cell functional analysis was further performed using the cancerSEA database. The PLEK2‐related co‑expressed genes were identified, and gene set enrichment analysis was performed using LinkedOmics. Furthermore, the top 10 hub genes were identified using the cytoHubba plug‐in of Cytoscape. Then, gene enrichment analysis, pathway activity, and drug sensitivity analyses of the hub genes were performed using the R package “clusterProfiler” and GSCAlite. Finally, the UCSC Xena browser was utilized to explore the hub gene most likely to play a synergic role with PLEK2 in HNSCC. RESULTS: Elevated expression of PLEK2 was observed in HNSCC and even in HNSCC subgroups based on diverse clinicopathological features, portending a poor prognosis in HNSCC. PLEK2 was correlated with metastasis and hypoxia in HNSCC, and the PLEK2‐related co‐expressed genes were mainly involved in the focal adhesion pathway. The top 10 hub genes were primarily enriched in focal adhesion, HPV infection, ECM‐receptor interaction, and PI3K‐AKT signaling pathway, and epithelial–mesenchymal transition pathway was activated. Furthermore, the expression levels of the hub genes were associated with sensitivity and resistance to various small molecules and anti‐cancer drugs. Further study suggested that ITGA3 and PLEK2 might be viewed as inextricably linked in facilitating HNSCC metastasis. CONCLUSIONS: In general, PLEK2 might serve as a potential biomarker for the diagnosis of HNSCC and guide the development of targeted therapies for HNSCC. John Wiley and Sons Inc. 2021-07-30 /pmc/articles/PMC8446404/ /pubmed/34331382 http://dx.doi.org/10.1002/cam4.4163 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Bioinformatics Wang, Jingyun Sun, Zhuang Wang, Jing Tian, Qihai Huang, Runda Wang, Hanyu Wang, Xiaohui Han, Fei Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis |
title | Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis |
title_full | Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis |
title_fullStr | Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis |
title_full_unstemmed | Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis |
title_short | Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis |
title_sort | expression and prognostic potential of plek2 in head and neck squamous cell carcinoma based on bioinformatics analysis |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446404/ https://www.ncbi.nlm.nih.gov/pubmed/34331382 http://dx.doi.org/10.1002/cam4.4163 |
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