Development and validation of a risk prediction model and nomogram for colon adenocarcinoma based on methylation-driven genes
| Autor: | Lei Yang, Xuejiao Tang, Qian Zhou, Guangjie Liu, Xinrui Shi, Pu Liu, Juan Wang, Liang-Yu Zhu, Hong-Yu Sun, Guo Tian |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Oncology
Male Aging medicine.medical_specialty TNM staging system Adenocarcinoma Models Biological Risk Assessment nomogram Cohort Studies Internal medicine medicine Humans Stage (cooking) Promoter Regions Genetic Gene DNA methylation Proportional hazards model business.industry Reproducibility of Results Cell Biology Methylation Nomogram TCGA Middle Aged Survival Analysis Gene Expression Regulation Neoplastic Nomograms colon adenocarcinoma Colonic Neoplasms Immunohistochemistry Female business risk prediction model Research Paper Genes Neoplasm |
| Zdroj: | Aging (Albany NY) |
| ISSN: | 1945-4589 |
| Popis: | Evidence suggests that abnormal DNA methylation patterns play a crucial role in the etiology and pathogenesis of colon adenocarcinoma (COAD). In this study, we identified a total of 97 methylation-driven genes (MDGs) through a comprehensive analysis of the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Univariate Cox regression analysis identified four MDGs (CBLN2, RBM47, SLCO4C1, and TMEM220) associated with overall survival (OS) in COAD patients. A risk prediction model was then developed based on these four MDGs to predict the prognosis of COAD patients. We also created a nomogram that incorporated risk scores, age, and TNM stage to promote a personalized prediction of OS in COAD patients. Compared with the traditional TNM staging system, our new nomogram was better at predicting the OS of COAD patients. In cell experiments, we confirmed that the mRNA expression levels of CLBN2 and TMEM220 were regulated by the methylation of their promoter regions. Moreover, immunohistochemistry showed that CBLN2 and TMEM220 were potential prognostic biomarkers for COAD patients. In summary, we have established a risk prediction model and nomogram that might be effectively utilized to promote the prediction of OS in COAD patients. |
| Databáze: | OpenAIRE |
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