Dataset Information

NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis.

ABSTRACT:

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.

SUBMITTER: Lin J

PROVIDER: S-EPMC10120898 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis.

Lin Jie J Li Gangyi G Bai Yanping Y Xie Yingjun Y

Aging 20230329 7

<h4>Background</h4>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.<h4>Methods</h4>We searched four databases, namely, PubMed, Web of Science, Embase, and the Cochrane Library, for relevant articles published before Apr ...[more]

PMID: 36996493

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Dataset Information

NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis.

Background

Methods

Results

Conclusion

Publications

NCAPG as a novel prognostic biomarker in numerous cancers: a meta-analysis and bioinformatics analysis.

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