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Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis
OBJECTIVE: By screening the core genes in lung adenocarcinoma (LUAD) with bioinformatics, our study evaluated its prognosis value and role in infiltration process of immune cells. METHODS: Using GEO database, we screened 5 gene chips, including GSE11072, GSE32863, GSE43458, GSE115002, and GSE116959....
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258416/ https://www.ncbi.nlm.nih.gov/pubmed/37313154 http://dx.doi.org/10.1016/j.heliyon.2023.e16789 |
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author | Song, Hao Wu, Junfeng Liu, Wang Cai, Kaier Xie, Zhilong Liu, Yingao Huang, Jiandi Gan, Siyuan Xiong, Yinghuan Sun, Yanqin |
author_facet | Song, Hao Wu, Junfeng Liu, Wang Cai, Kaier Xie, Zhilong Liu, Yingao Huang, Jiandi Gan, Siyuan Xiong, Yinghuan Sun, Yanqin |
author_sort | Song, Hao |
collection | PubMed |
description | OBJECTIVE: By screening the core genes in lung adenocarcinoma (LUAD) with bioinformatics, our study evaluated its prognosis value and role in infiltration process of immune cells. METHODS: Using GEO database, we screened 5 gene chips, including GSE11072, GSE32863, GSE43458, GSE115002, and GSE116959. Then, we obtained the corresponding differentially expressed genes by analyzed 5 gene chips online by GEO2R (P < 0.05, |logFC| > 1). Then, through DAVID online platform, Cytoscape 3.6.1 software and PPI network analysis, the network was visualized and obtain the final core genes. Next, we plan to use the GEPIA, UALCAN, Kaplan–Meier plotter and Time 2.0 database for corresponding analysis. The GEPIA database was used to verify the expression of core genes in LUAD and normal lung tissues, and survival analysis was used to evaluate the value of core genes in the prognosis of LUAD patients. UALCAN was used to verify the expression of the LUAD core gene and promoter methylation status, and the predictive value of core genes was evaluated in LUAD patients by the Kaplan–Meier plotter online tool. Then, we used the Time 2.0 database to identify the relationship to immune infiltration in LUAD. Finally, we used the human protein atlas (HPA) database for online immunohistochemical analysis of the expressed proteins. RESULTS: The expression of CCNB2 and CDC20 in LUAD were higher than those in normal lung tissues, their increased expression was negatively correlated with the overall survival rate of LUAD, and they were involved in cell cycle signal transduction, oocyte meiosis signal transduction as well as the infiltration process of immune cells in LUAD. The expression proteins of CCNB2 and CDC20 were also different in lung cancer tissue and normal lung tissue. Therefore, CCNB2 and CDC20 were identified as the vital core genes. CONCLUSION: CCNB2 and CDC20 are essential genes that may constitute prognostic biomarkers in LUAD, they also participate the immune infiltration process and protein expression process of LUAD, and might provides basis for clinical anti-tumor drug research. |
format | Online Article Text |
id | pubmed-10258416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102584162023-06-13 Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis Song, Hao Wu, Junfeng Liu, Wang Cai, Kaier Xie, Zhilong Liu, Yingao Huang, Jiandi Gan, Siyuan Xiong, Yinghuan Sun, Yanqin Heliyon Research Article OBJECTIVE: By screening the core genes in lung adenocarcinoma (LUAD) with bioinformatics, our study evaluated its prognosis value and role in infiltration process of immune cells. METHODS: Using GEO database, we screened 5 gene chips, including GSE11072, GSE32863, GSE43458, GSE115002, and GSE116959. Then, we obtained the corresponding differentially expressed genes by analyzed 5 gene chips online by GEO2R (P < 0.05, |logFC| > 1). Then, through DAVID online platform, Cytoscape 3.6.1 software and PPI network analysis, the network was visualized and obtain the final core genes. Next, we plan to use the GEPIA, UALCAN, Kaplan–Meier plotter and Time 2.0 database for corresponding analysis. The GEPIA database was used to verify the expression of core genes in LUAD and normal lung tissues, and survival analysis was used to evaluate the value of core genes in the prognosis of LUAD patients. UALCAN was used to verify the expression of the LUAD core gene and promoter methylation status, and the predictive value of core genes was evaluated in LUAD patients by the Kaplan–Meier plotter online tool. Then, we used the Time 2.0 database to identify the relationship to immune infiltration in LUAD. Finally, we used the human protein atlas (HPA) database for online immunohistochemical analysis of the expressed proteins. RESULTS: The expression of CCNB2 and CDC20 in LUAD were higher than those in normal lung tissues, their increased expression was negatively correlated with the overall survival rate of LUAD, and they were involved in cell cycle signal transduction, oocyte meiosis signal transduction as well as the infiltration process of immune cells in LUAD. The expression proteins of CCNB2 and CDC20 were also different in lung cancer tissue and normal lung tissue. Therefore, CCNB2 and CDC20 were identified as the vital core genes. CONCLUSION: CCNB2 and CDC20 are essential genes that may constitute prognostic biomarkers in LUAD, they also participate the immune infiltration process and protein expression process of LUAD, and might provides basis for clinical anti-tumor drug research. Elsevier 2023-05-29 /pmc/articles/PMC10258416/ /pubmed/37313154 http://dx.doi.org/10.1016/j.heliyon.2023.e16789 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Song, Hao Wu, Junfeng Liu, Wang Cai, Kaier Xie, Zhilong Liu, Yingao Huang, Jiandi Gan, Siyuan Xiong, Yinghuan Sun, Yanqin Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis |
title | Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis |
title_full | Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis |
title_fullStr | Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis |
title_full_unstemmed | Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis |
title_short | Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis |
title_sort | key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258416/ https://www.ncbi.nlm.nih.gov/pubmed/37313154 http://dx.doi.org/10.1016/j.heliyon.2023.e16789 |
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