AimRectal adenocarcinoma (READ) is a malignancy cancer with the high morbidity and motility worldwide. Our study aimed to explore the potential pathogenesis of READ through integrated analysis of gene expression profiling and DNA methylation data.MethodsThe miRNA, mRNA expression profiling and corresponding DNA methylation data were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNAs/ miRNAs/methylated regions (DEmRNA/DEmiRNAs) were identified in READ. The negatively correlation of DEmiRNA-DEmRNAs and DNA methylation-DEmRNAs were obtained. DEmRNAs expression was validated through quantitative real-time polymerase chain reaction (qRT-PCR) and microarray expression profiling analyses.Results1192 dysregulated DEmRNAs, 27 dysregulated DEmiRNAs and 6403 aberrant methylation CpG sites were screened in READ compared to normal controls. 1987 negative interaction pairs among 27 DEmiRNAs and 668 DEmRNAs were predicted. 446 genes with aberrant methylation were annotated. Eventually, 50 DEmRNAs (39 down- and 11 up-regulated DEmRNAs) with hypermethylation, synchronously negatively targeted by DEmiRNAs, were identified through the correlation analysis among 446 genes with aberrant methylation and 668 DEmRNAs. 50 DEmRNAs were significantly enriched in cAMP signaling pathway, circadian entrainment and glutamatergic synapse. The validation results of expression levels of DEmRNAs through qRT-PCR and microarray analyses were compatible with our study.Conclusion7 genes of SORCS1, PDZRN4, LONRF2, CNGA3, HAND2, RSPO2 and GNAO1 with hypermethylation and negatively regulation by DEmiRNAs might contribute to the tumorigenesis of READ. Our work might provide valuable foundation for the READ in mechanism elucidation, early diagnosis and therapeutic target identification.

Rectal cancer is a common malignant tumor of the digestive tract, with a high incidence and high mortality. This study aimed to identify the potential biomarkers and therapeutic targets for rectal adenocarcinoma (RAC) metastasis. The expression profiling of RAC patients with metastasis and RAC patients without metastasis was downloaded from The Cancer Genome Atlas (TCGA) database. The datasets were used to identify the genes associated with RAC metastasis. Fifty up-regulated genes and seventeen down-regulated genes were identified in the primary tumor loci of RAC metastasis compared with non-metastasis. Sixty-seven dysregulated gens were conducted to construct the protein-protein network, and CCND3 was the hub protein. The dysregulated genes were significantly enriched in pancreatic secretion, cell adhesion molecules pathways, response to vitamin D of biological process, and retinoid binding of molecular function. Quantitative real-time polymerase chain reaction results demonstrated that CCND3, AQP3, PEG10, and RAB27B had the up-regulated tendency in RAC metastasis; ADCY1 had the down-regulated tendency in RAC metastasis. CCND3, AQP3, PEG10, RAB27B, and ADCY1 might play essential roles in the metastasis process of RAC through pancreatic secretion and cell adhesion molecules pathways. The five genes could be potential diagnosis biomarkers or therapeutic targets for RAC metastasis.