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NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis
Background: Identification of effective biomarkers for cancer prognosis is a primary research challenge. Recently, several studies have reported the relationship between NCAPG and the occurrence of various tumors. However, none have combined meta-analytical and bioinformatics approaches to systemati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120898/ https://www.ncbi.nlm.nih.gov/pubmed/36996493 http://dx.doi.org/10.18632/aging.204621 |
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author | Lin, Jie Li, Gangyi Bai, Yanping Xie, Yingjun |
author_facet | Lin, Jie Li, Gangyi Bai, Yanping Xie, Yingjun |
author_sort | Lin, Jie |
collection | PubMed |
description | Background: Identification of effective biomarkers for cancer prognosis is a primary research challenge. Recently, several studies have reported the relationship between NCAPG and the occurrence of various tumors. However, none have combined meta-analytical and bioinformatics approaches to systematically assess the role of NCAPG in cancer. Methods: We searched four databases, namely, PubMed, Web of Science, Embase, and the Cochrane Library, for relevant articles published before April 30, 2022. The overall hazard ratio or odds ratio and 95% confidence intervals were calculated to assess the relationship between NCAPG expression and cancer survival prognosis or clinical characteristics. Furthermore, the aforementioned results were validated using the GEPIA2, Kaplan-Meier plotter, and PrognoScan databases. Results: The meta-analysis included eight studies with 1096 samples. The results showed that upregulation of NCAPG was correlated with poorer overall survival (hazard ratio = 2.90, 95% confidence interval = 2.06–4.10, P < 0.001) in the cancers included in the study. Subgroup analysis showed that in some cancers, upregulation of NCAPG was correlated with age, distant metastasis, lymph node metastasis, TNM stage, relapse, differentiation, clinical stage, and vascular invasion. These results were validated using the GEPIA2, UALCAN, and PrognoScan databases. We also explored the processes of NCAPG methylation and phosphorylation. Conclusion: Dysregulated NCAPG expression is associated with the clinical prognostic and pathological features of various cancers. Therefore, NCAPG can serve as a human cancer therapeutic target and a new potential prognostic biomarker. |
format | Online Article Text |
id | pubmed-10120898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-101208982023-04-22 NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis Lin, Jie Li, Gangyi Bai, Yanping Xie, Yingjun Aging (Albany NY) Research Paper Background: Identification of effective biomarkers for cancer prognosis is a primary research challenge. Recently, several studies have reported the relationship between NCAPG and the occurrence of various tumors. However, none have combined meta-analytical and bioinformatics approaches to systematically assess the role of NCAPG in cancer. Methods: We searched four databases, namely, PubMed, Web of Science, Embase, and the Cochrane Library, for relevant articles published before April 30, 2022. The overall hazard ratio or odds ratio and 95% confidence intervals were calculated to assess the relationship between NCAPG expression and cancer survival prognosis or clinical characteristics. Furthermore, the aforementioned results were validated using the GEPIA2, Kaplan-Meier plotter, and PrognoScan databases. Results: The meta-analysis included eight studies with 1096 samples. The results showed that upregulation of NCAPG was correlated with poorer overall survival (hazard ratio = 2.90, 95% confidence interval = 2.06–4.10, P < 0.001) in the cancers included in the study. Subgroup analysis showed that in some cancers, upregulation of NCAPG was correlated with age, distant metastasis, lymph node metastasis, TNM stage, relapse, differentiation, clinical stage, and vascular invasion. These results were validated using the GEPIA2, UALCAN, and PrognoScan databases. We also explored the processes of NCAPG methylation and phosphorylation. Conclusion: Dysregulated NCAPG expression is associated with the clinical prognostic and pathological features of various cancers. Therefore, NCAPG can serve as a human cancer therapeutic target and a new potential prognostic biomarker. Impact Journals 2023-03-29 /pmc/articles/PMC10120898/ /pubmed/36996493 http://dx.doi.org/10.18632/aging.204621 Text en Copyright: © 2023 Lin et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Lin, Jie Li, Gangyi Bai, Yanping Xie, Yingjun NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis |
title | NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis |
title_full | NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis |
title_fullStr | NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis |
title_full_unstemmed | NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis |
title_short | NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis |
title_sort | ncapg as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120898/ https://www.ncbi.nlm.nih.gov/pubmed/36996493 http://dx.doi.org/10.18632/aging.204621 |
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