Bioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinoma
Abstract Background Lung cancer is the most common malignant tumor. Identification of novel diagnostic and prognostic biomarkers for lung cancer is a key research imperative. The role of centromere protein K (CENPK) in cancer is an emerging research hotspot. However, the role of CENPK in the progres...
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BMC
2021-01-01
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Series: | Cancer Cell International |
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Online Access: | https://doi.org/10.1186/s12935-021-01760-y |
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author | Jiayu Ma Xiaochuan Chen Mingqiang Lin Zhiping Wang Yahua Wu Jiancheng Li |
author_facet | Jiayu Ma Xiaochuan Chen Mingqiang Lin Zhiping Wang Yahua Wu Jiancheng Li |
author_sort | Jiayu Ma |
collection | DOAJ |
description | Abstract Background Lung cancer is the most common malignant tumor. Identification of novel diagnostic and prognostic biomarkers for lung cancer is a key research imperative. The role of centromere protein K (CENPK) in cancer is an emerging research hotspot. However, the role of CENPK in the progression of lung adenocarcinoma (LAC) is not well characterized. Methods In this study, we identified CENPK as a potential new gene for lung cancer based on bioinformatics analysis. In addition, in vitro experiments were performed to verify the function of this gene. We investigated the expression of CENPK in LAC by analyses of datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differential expression analyses, gene ontology (GO) enrichment, Kyoto encyclopedia of genes and genomes (KEGG) analysis, and gene set enrichment analysis (GSEA) were conducted to evaluate the diagnostic and prognostic relevance of CENPK. Then, for evaluating the biological behavior and role of CENPK in lung cancer cells, we did a series of vitro experiments, such as immunohistochemistry analysis, Western blot analysis, CCK8 assay, transwell assay, flow cytometry, and wound healing assay. Results We demonstrated overexpression of CENPK in LAC; in addition, increased expression of CENPK was associated with clinical progression. Moreover, CENPK was found to be an independent risk factor in patients with LAC. Furthermore, we observed activation of CENPK-related signaling pathways in patients with LAC. Conclusions Our findings indicate a potential role of CENPK in promoting tumor proliferation, invasion, and metastasis. It may serve as a novel diagnostic and prognostic biomarker in patients with LAC. |
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id | doaj.art-52536d761dc248bebbb476653d0ff5c5 |
institution | Directory Open Access Journal |
issn | 1475-2867 |
language | English |
last_indexed | 2024-12-14T22:29:17Z |
publishDate | 2021-01-01 |
publisher | BMC |
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series | Cancer Cell International |
spelling | doaj.art-52536d761dc248bebbb476653d0ff5c52022-12-21T22:45:16ZengBMCCancer Cell International1475-28672021-01-0121111410.1186/s12935-021-01760-yBioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinomaJiayu Ma0Xiaochuan Chen1Mingqiang Lin2Zhiping Wang3Yahua Wu4Jiancheng Li5Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer HospitalDepartment of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer HospitalDepartment of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer HospitalDepartment of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer HospitalDepartment of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer HospitalDepartment of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer HospitalAbstract Background Lung cancer is the most common malignant tumor. Identification of novel diagnostic and prognostic biomarkers for lung cancer is a key research imperative. The role of centromere protein K (CENPK) in cancer is an emerging research hotspot. However, the role of CENPK in the progression of lung adenocarcinoma (LAC) is not well characterized. Methods In this study, we identified CENPK as a potential new gene for lung cancer based on bioinformatics analysis. In addition, in vitro experiments were performed to verify the function of this gene. We investigated the expression of CENPK in LAC by analyses of datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differential expression analyses, gene ontology (GO) enrichment, Kyoto encyclopedia of genes and genomes (KEGG) analysis, and gene set enrichment analysis (GSEA) were conducted to evaluate the diagnostic and prognostic relevance of CENPK. Then, for evaluating the biological behavior and role of CENPK in lung cancer cells, we did a series of vitro experiments, such as immunohistochemistry analysis, Western blot analysis, CCK8 assay, transwell assay, flow cytometry, and wound healing assay. Results We demonstrated overexpression of CENPK in LAC; in addition, increased expression of CENPK was associated with clinical progression. Moreover, CENPK was found to be an independent risk factor in patients with LAC. Furthermore, we observed activation of CENPK-related signaling pathways in patients with LAC. Conclusions Our findings indicate a potential role of CENPK in promoting tumor proliferation, invasion, and metastasis. It may serve as a novel diagnostic and prognostic biomarker in patients with LAC.https://doi.org/10.1186/s12935-021-01760-yLung adenocarcinomaCENPKNovel biomarkersPrognosis |
spellingShingle | Jiayu Ma Xiaochuan Chen Mingqiang Lin Zhiping Wang Yahua Wu Jiancheng Li Bioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinoma Cancer Cell International Lung adenocarcinoma CENPK Novel biomarkers Prognosis |
title | Bioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinoma |
title_full | Bioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinoma |
title_fullStr | Bioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinoma |
title_full_unstemmed | Bioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinoma |
title_short | Bioinformatics analysis combined with experiments predicts CENPK as a potential prognostic factor for lung adenocarcinoma |
title_sort | bioinformatics analysis combined with experiments predicts cenpk as a potential prognostic factor for lung adenocarcinoma |
topic | Lung adenocarcinoma CENPK Novel biomarkers Prognosis |
url | https://doi.org/10.1186/s12935-021-01760-y |
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