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Comprehensive analysis of the prognostic implications and functional exploration of PAK gene family in human cancer

BACKGROUND: The p21-activated kinase (PAK) family (PAKs) plays a key role in the formation and development of human tumors. However, a systematic analysis of PAKs in human cancers is lacking and the potential role of PAKs in cancer immunity has not been explored. METHODS: We used datasets from in Th...

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Autores principales: Lei, Kunjian, Luo, Min, Tu, Zewei, Lv, Shigang, Liu, Junzhe, Gong, Chuandong, Ye, Minhua, Wu, Miaojing, Sheng, Yilei, Long, Xiaoyan, Li, Jingying, Zhu, Xingen, Huang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442929/
https://www.ncbi.nlm.nih.gov/pubmed/36064705
http://dx.doi.org/10.1186/s12935-022-02689-6
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author Lei, Kunjian
Luo, Min
Tu, Zewei
Lv, Shigang
Liu, Junzhe
Gong, Chuandong
Ye, Minhua
Wu, Miaojing
Sheng, Yilei
Long, Xiaoyan
Li, Jingying
Zhu, Xingen
Huang, Kai
author_facet Lei, Kunjian
Luo, Min
Tu, Zewei
Lv, Shigang
Liu, Junzhe
Gong, Chuandong
Ye, Minhua
Wu, Miaojing
Sheng, Yilei
Long, Xiaoyan
Li, Jingying
Zhu, Xingen
Huang, Kai
author_sort Lei, Kunjian
collection PubMed
description BACKGROUND: The p21-activated kinase (PAK) family (PAKs) plays a key role in the formation and development of human tumors. However, a systematic analysis of PAKs in human cancers is lacking and the potential role of PAKs in cancer immunity has not been explored. METHODS: We used datasets from in The Cancer Genome Atlas (TCGA) database and Genotype-Tissue Expression database (GTEx). RESULTS: Based on TCGA datasets most PAKs show noteworthy differences in expression between tumors and corresponding normal tissues or across different tumor tissues. Patients with high expression of PAKs often show a worse prognosis. However, copy number variation, mutation, and DNA methylation of PAKs have limited impact on tumor development. Further analysis showed that the impact of PAKs on immunity varies with the type of tumor and the respective tumor microenvironment. PAK1 and PAK4 may be stronger predictors of immune characteristics, and are more suitable as drugs and molecular therapeutic targets. Furthermore, Cox regression analysis revealed that a PAK gene signature could be used as an independent prognostic factor for lower grade glioma (LGG) and glioblastoma (GBM). Gene set enrichment analysis (GSEA) analysis indicated that PAK genes may affect the occurrence and development of GBM through the PI3K signaling pathway. Further experiments verified that PAK1 and AKT1 have a significant interaction in GBM cells, and inhibiting the overactivation of PAK1 can significantly inhibit the proliferation of GBM cells. CONCLUSIONS: Our study provides a rationale for further research on the prognostic and therapeutic potential of PAKs in human tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02689-6.
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spelling pubmed-94429292022-09-06 Comprehensive analysis of the prognostic implications and functional exploration of PAK gene family in human cancer Lei, Kunjian Luo, Min Tu, Zewei Lv, Shigang Liu, Junzhe Gong, Chuandong Ye, Minhua Wu, Miaojing Sheng, Yilei Long, Xiaoyan Li, Jingying Zhu, Xingen Huang, Kai Cancer Cell Int Research BACKGROUND: The p21-activated kinase (PAK) family (PAKs) plays a key role in the formation and development of human tumors. However, a systematic analysis of PAKs in human cancers is lacking and the potential role of PAKs in cancer immunity has not been explored. METHODS: We used datasets from in The Cancer Genome Atlas (TCGA) database and Genotype-Tissue Expression database (GTEx). RESULTS: Based on TCGA datasets most PAKs show noteworthy differences in expression between tumors and corresponding normal tissues or across different tumor tissues. Patients with high expression of PAKs often show a worse prognosis. However, copy number variation, mutation, and DNA methylation of PAKs have limited impact on tumor development. Further analysis showed that the impact of PAKs on immunity varies with the type of tumor and the respective tumor microenvironment. PAK1 and PAK4 may be stronger predictors of immune characteristics, and are more suitable as drugs and molecular therapeutic targets. Furthermore, Cox regression analysis revealed that a PAK gene signature could be used as an independent prognostic factor for lower grade glioma (LGG) and glioblastoma (GBM). Gene set enrichment analysis (GSEA) analysis indicated that PAK genes may affect the occurrence and development of GBM through the PI3K signaling pathway. Further experiments verified that PAK1 and AKT1 have a significant interaction in GBM cells, and inhibiting the overactivation of PAK1 can significantly inhibit the proliferation of GBM cells. CONCLUSIONS: Our study provides a rationale for further research on the prognostic and therapeutic potential of PAKs in human tumors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02689-6. BioMed Central 2022-09-05 /pmc/articles/PMC9442929/ /pubmed/36064705 http://dx.doi.org/10.1186/s12935-022-02689-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lei, Kunjian
Luo, Min
Tu, Zewei
Lv, Shigang
Liu, Junzhe
Gong, Chuandong
Ye, Minhua
Wu, Miaojing
Sheng, Yilei
Long, Xiaoyan
Li, Jingying
Zhu, Xingen
Huang, Kai
Comprehensive analysis of the prognostic implications and functional exploration of PAK gene family in human cancer
title Comprehensive analysis of the prognostic implications and functional exploration of PAK gene family in human cancer
title_full Comprehensive analysis of the prognostic implications and functional exploration of PAK gene family in human cancer
title_fullStr Comprehensive analysis of the prognostic implications and functional exploration of PAK gene family in human cancer
title_full_unstemmed Comprehensive analysis of the prognostic implications and functional exploration of PAK gene family in human cancer
title_short Comprehensive analysis of the prognostic implications and functional exploration of PAK gene family in human cancer
title_sort comprehensive analysis of the prognostic implications and functional exploration of pak gene family in human cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442929/
https://www.ncbi.nlm.nih.gov/pubmed/36064705
http://dx.doi.org/10.1186/s12935-022-02689-6
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