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Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics
NEKs are proteins that are involved in various cell processes and play important roles in the formation and development of cancer. However, few studies have examined the role of NEKs in the development of non-small-cell lung carcinoma (NSCLC). To address this problem, the Oncomine, UALCAN, and the H...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807624/ https://www.ncbi.nlm.nih.gov/pubmed/35105934 http://dx.doi.org/10.1038/s41598-022-05728-4 |
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author | Yang, Mengxia Guo, Yikun Guo, Xiaofei Mao, Yun Zhu, Shijie Wang, Ningjun Lu, Dianrong |
author_facet | Yang, Mengxia Guo, Yikun Guo, Xiaofei Mao, Yun Zhu, Shijie Wang, Ningjun Lu, Dianrong |
author_sort | Yang, Mengxia |
collection | PubMed |
description | NEKs are proteins that are involved in various cell processes and play important roles in the formation and development of cancer. However, few studies have examined the role of NEKs in the development of non-small-cell lung carcinoma (NSCLC). To address this problem, the Oncomine, UALCAN, and the Human Protein Atlas databases were used to analyze differential NEK expression and its clinicopathological parameters, while the Kaplan–Meier, cBioPortal, GEPIA, and DAVID databases were used to analyze survival, gene mutations, similar genes, and biological enrichments. The rate of NEK family gene mutation was high (> 50%) in patients with NSCLC, in which NEK2/4/6/8/ was overexpressed and significantly correlated with tumor stage and nodal metastasis status. In addition, the high expression of NEK2/3mRNA was significantly associated with poor prognosis in patients with NSCLC, while high expression of NEK1/4/6/7/8/9/10/11mRNA was associated with good prognosis. In summary, these results suggest that NEK2/4/6/8 may be a potential prognostic biomarker for the survival of patients with NSCLC. |
format | Online Article Text |
id | pubmed-8807624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88076242022-02-03 Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics Yang, Mengxia Guo, Yikun Guo, Xiaofei Mao, Yun Zhu, Shijie Wang, Ningjun Lu, Dianrong Sci Rep Article NEKs are proteins that are involved in various cell processes and play important roles in the formation and development of cancer. However, few studies have examined the role of NEKs in the development of non-small-cell lung carcinoma (NSCLC). To address this problem, the Oncomine, UALCAN, and the Human Protein Atlas databases were used to analyze differential NEK expression and its clinicopathological parameters, while the Kaplan–Meier, cBioPortal, GEPIA, and DAVID databases were used to analyze survival, gene mutations, similar genes, and biological enrichments. The rate of NEK family gene mutation was high (> 50%) in patients with NSCLC, in which NEK2/4/6/8/ was overexpressed and significantly correlated with tumor stage and nodal metastasis status. In addition, the high expression of NEK2/3mRNA was significantly associated with poor prognosis in patients with NSCLC, while high expression of NEK1/4/6/7/8/9/10/11mRNA was associated with good prognosis. In summary, these results suggest that NEK2/4/6/8 may be a potential prognostic biomarker for the survival of patients with NSCLC. Nature Publishing Group UK 2022-02-01 /pmc/articles/PMC8807624/ /pubmed/35105934 http://dx.doi.org/10.1038/s41598-022-05728-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Yang, Mengxia Guo, Yikun Guo, Xiaofei Mao, Yun Zhu, Shijie Wang, Ningjun Lu, Dianrong Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics |
title | Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics |
title_full | Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics |
title_fullStr | Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics |
title_full_unstemmed | Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics |
title_short | Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics |
title_sort | analysis of the effect of neks on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807624/ https://www.ncbi.nlm.nih.gov/pubmed/35105934 http://dx.doi.org/10.1038/s41598-022-05728-4 |
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