Expression of 5-methylcytosine regulators is highly associated with the clinical phenotypes of prostate cancer and DNMTs expression predicts biochemical recurrence
| Autor: | Biaoyang Lin, Lin Wang, Guoping Ren |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Biochemical recurrence
DNA (Cytosine-5-)-Methyltransferase 1 Male Cancer Research Methyltransferase Bioinformatics DNMT3B Datasets as Topic DNA methyltransferase Biology Risk Assessment Epigenesis Genetic Prostate cancer medicine Tumor Microenvironment biochemical recurrence Humans Radiology Nuclear Medicine and imaging Epigenetics DNA (Cytosine-5-)-Methyltransferases RC254-282 Research Articles DNA Methylation Regulation Models Genetic immune infiltration Gene Expression Profiling Neoplasms. Tumors. Oncology. Including cancer and carcinogens Prostatic Neoplasms Methylation DNA Methylation Prostate-Specific Antigen medicine.disease prostate cancer Gene Expression Regulation Neoplastic Oncology ROC Curve Tumor progression Cancer research 5-Methylcytosine Kallikreins Neoplasm Recurrence Local Research Article |
| Zdroj: | Cancer Medicine Cancer Medicine, Vol 10, Iss 16, Pp 5681-5695 (2021) |
| ISSN: | 2045-7634 |
| Popis: | In patients with prostate cancer (PCa), there is a high rate of overdiagnosis and frequent overtreatment. Therefore, there is an urgent need for more accurate prediction of biochemical recurrence (BCR). DNA methylation regulation patterns play crucial roles in tumorigenicity, progression, and treatment efficacy in PCa. However, the global relationship between epigenetic alterations, changes in mRNA levels, and pathologic phenotypes of PCa remain largely undefined. Here, we conducted a systematic analysis to identify global coexpression and comethylation modules in PCa. We identified coregulated methylation and expression modules and the relationships between epigenetic modifications, tumor progression, and the corresponding immune microenvironment in PCa. Our results show that DNA methyltransferases (DNMTs) are strongly associated with pathologic phenotypes and immune infiltration patterns in PCa. We built a two‐factor predictive model using the expression features of DNMT3B and DNMT1. The model was used to predict the BCR status of patients with PCa and achieved area under the receiver operating characteristic curve values of 0.70 and 0.88 in the training and independent testing datasets, respectively. DNA methyltransferases (DNMTs) are strongly associated with pathologic phenotypes and immune infiltration patterns in PCa. We built a two‐factor predictive model using the expression features of DNMT3B and DNMT1. The model was used to predict the BCR status of patients with PCa and achieved area under the receiver operating characteristic curve values of 0.70 and 0.88 in the training and independent testing datasets, respectively. |
| Databáze: | OpenAIRE |
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