A Novel Prognostic DNA Methylation Panel for Colorectal Cancer.
Hsin-Hua ChungChih-Chi KuoCheng-Wen HsiaoChao-Yang ChenJe-Ming HuChih-Hsiung HsuYu-Ching ChouYa-Wen LinYu-Lueng ShihPublished in: International journal of molecular sciences (2019)
Colorectal cancer (CRC) is one of the most common cancers and the second leading cause of cancer-related deaths. Discrepancies in clinical outcomes are observed even among patients with same-stage CRC due to molecular heterogeneity. Thus, biomarkers for predicting prognosis in CRC patients are urgently needed. We previously demonstrated that stage II CRC patients with NKX6.1 methylation had poor 5-year overall survival. However, the methylation frequency of NKX6.1 was only 23% in 151 pairs of CRC tissues. Thus, we aimed to develop a more robust prognostic panel for CRC using NKX6.1 in combination with three genes: LIM homeobox transcription factor 1α (LMX1A), sex-determining region Y-box 1 (SOX1), and zinc finger protein 177 (ZNF177). Through quantitative methylation analysis, we found that LMX1A, SOX1, and ZNF177 were hypermethylated in CRC tissues. LMX1A methylation was significantly associated with poor 5-year overall, and disease-free survivals in stage I and II CRC patients. Sensitivity and specificity analyses of the four-gene combination revealed the best sensitivity and optimal specificity. Moreover, patients with the four-gene methylation profile exhibited poorer disease-free survival than those without methylation. A significant effect of the four-gene methylation status on overall survival and disease-free survival was observed in early stage I and II CRC patients (p = 0.0016 and p = 0.0230, respectively). Taken together, these results demonstrate that the combination of the methylation statuses of NKX6.1, LMX1A, SOX1, and ZNF177 creates a novel prognostic panel that could be considered a molecular marker for outcomes in CRC patients.
Keyphrases
- dna methylation
- genome wide
- end stage renal disease
- transcription factor
- free survival
- ejection fraction
- chronic kidney disease
- gene expression
- newly diagnosed
- stem cells
- peritoneal dialysis
- type diabetes
- copy number
- small molecule
- insulin resistance
- skeletal muscle
- weight loss
- single molecule
- structural basis
- genome wide analysis
- oxide nanoparticles
- protein protein