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A Comprehensive Analysis for Expression, Diagnosis, and Prognosis of m5C Regulator in Breast Cancer and Its ncRNA–mRNA Regulatory Mechanism.
- Source :
- Frontiers in Genetics; 6/22/2022, Vol. 13, p1-12, 12p
- Publication Year :
- 2022
-
Abstract
- Recent studies have well demonstrated that 5-methylcytosine (m<superscript>5</superscript>C) regulators play pivotal roles in pathological conditions, including cancer. This study first tried to identify potential 5-methylcytosine (m<superscript>5</superscript>C) regulators in breast cancer by combination of expression, diagnosis, and survival analyses, and then established an ncRNA–mRNA network accounting for m<superscript>5</superscript>C regulators' roles in breast cancer. Among 13 m<superscript>5</superscript>C regulators, DNMT3B and ALYREF were significantly upregulated in breast cancer and their high expression indicated unfavorable prognosis. Both DNMT3B and ALYREF possessed the statistical abilities to distinguish breast cancer from normal breast samples. Moreover, five potential upstream miRNAs (let-7b-5p, miR-195-5p, miR-29a-3p, miR-26a-5p, and miR-26b-5p) of m<superscript>5</superscript>C regulators could not only serve as independent prognostic predictors but also together made up a promising miRNA prognostic signature in breast cancer. Next, upstream potential lncRNAs of the five miRNAs were predicted and analyzed. Pathway enrichment analysis revealed that the target genes of these miRNAs were markedly enriched in some cancer-related pathways, and further investigation indicated VEGFA and EZH2 were found to be the most potential target genes in the m<superscript>5</superscript>C regulators-related ncRNA–mRNA network in breast cancer. These findings comprehensively provided key clues for developing m<superscript>5</superscript>C regulators-related effective therapeutic targets and promising diagnostic biomarkers in breast cancer. [ABSTRACT FROM AUTHOR]
- Subjects :
- BREAST cancer
PROGNOSIS
PROGNOSTIC models
DIAGNOSIS
TUMOR markers
PLASMA diagnostics
Subjects
Details
- Language :
- English
- ISSN :
- 16648021
- Volume :
- 13
- Database :
- Complementary Index
- Journal :
- Frontiers in Genetics
- Publication Type :
- Academic Journal
- Accession number :
- 157616936
- Full Text :
- https://doi.org/10.3389/fgene.2022.822721