RESUMO
DNA methylation and transcriptional regulation play important roles in cancer cell development and differentiation processes. Based on the currently available cell line profiling information from the ENCODE Consortium, we propose a Bayesian inference model to infer and construct genome-wide interaction landscape between DNA methylation and transcriptional regulation, which sheds light on the underlying complex functional mechanisms important within the human cancer and disease context. For the first time, we select all the currently available cell lines [>=20] and transcription factors [>=80] profiling information from the ENCODE Consortium portal. Through the integration of those genome-wide profiling sources, our genome-wide analysis detects multiple functional loci of interest, and indicates that DNA methylation is cell- and region-specific, due to the interplay mechanisms with transcription regulatory activities. We validate our analysis results with the corresponding RNA-sequencing technique for those detected genomic loci. Our results provide novel and meaningful insights for the interplay mechanisms of transcriptional regulation and gene expression for the human cancer and disease studies
RESUMO
Objective To study the pathogenic features, diagnosis and treatment of aberrant thyroid cancer.Methods A retrospective analysis of clinical and pathological data of 29 cases of aberrant thyroid cancer was made.Results All of the 29 patients underwent operative treatment and postoperative adjuvant radiation therapy and chemotherapy. On postoperative follow up, the 5-year survival rate was 52.0%. The longest survivor patient was alive 24 years after operation.Conclusions The key to increase the survival rate of patients is early detection and timely surgical treatment. Postoperative adjuvant radiation therapy and chemotherapy are conducive to increase survival rate.