Five candidate biomarkers associated with the diagnosis and prognosis of cervical cancer
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Authors
Han, Hong-Yan
Mou, Jiang-Tao
Jiang, Wen-Ping
Zhai, Xiu-Ming
Deng, Kun
Issue Date
2021-03-10
Type
Article
Language
en_US
Keywords
Biomarkers , Cervical Cancer , Differentially Expressed Genes , Machine Learning
Alternative Title
Abstract
Purpose: Cervical cancer (CC) is one of the most general gynecological malignancies and is associated with high morbidity and mortality. We aimed to select candidate genes related to the diagnosis and prognosis of CC.
Methods: The mRNA expression profile datasets were downloaded. We also downloaded RNA-sequencing gene expression data and related clinical materials from TCGA, which included 307 CC samples and 3 normal samples. Differentially expressed genes (DEGs) were obtained by R software. GO function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed in the DAVID dataset. Using machine learning, the optimal diagnostic mRNA biomarkers for CC were identified. We used qRT-PCR and Human Protein Atlas (HPA) database to exhibit the differences in gene and protein levels of candidate genes.
Results: A total of 313 DEGs were screened from the microarray expression profile datasets. DNA methyltransferase 1 (DNMT1), Chromatin Assembly Factor 1, subunit B (CHAF1B), Chromatin Assembly Factor 1, subunit A (CHAF1A), MCM2, CDKN2A were identified as optimal diagnostic mRNA biomarkers for CC. Additionally, the GEPIA database showed that the DNMT1, CHAF1B, CHAF1A, MCM2 and CDKN2A were associated with the poor survival of CC patients. HPA database and qRT-PCR confirmed that these genes were highly expressed in CC tissues.
Conclusion: The present study identified five DEmRNAs, including DNMT1, CHAF1B, CHAF1A, MCM2 and Kinetochore-related protein 1 (KNTC1), as potential diagnostic and prognostic biomarkers of CC.
Description
Citation
Han, H. Y., Mou, J. T., Jiang, W. P., Zhai, X. M., & Deng, K. (2021). Five candidate biomarkers associated with the diagnosis and prognosis of cervical cancer. Bioscience reports, 41(3), BSR20204394. https://doi.org/10.1042/BSR20204394
Publisher
Bioscience Reports