While genetic alterations in several regulators of the cell cycle have a significant impact on the gastric carcinogenesis process, the prognostic role of them remains to be further elucidated. The TCGA-STAD training set were downloaded and the mRNA expression matrix of cell cycle genes was extracted and corrected for further analysis after taking the intersection with GSE84437 dataset. Differentially expressed mRNAs were identified between tumor and normal tissue samples in TCGA-STAD.
View Article and Find Full Text PDFWe investigated whether and were related to esophageal squamous cell carcinoma (ESCC). ESCC microarray datasets and reverse transcriptase qualitative PCR were used to analyze and expression. The GSE120356 and GSE33810 datasets identified and as the candidates and and expression was downregulated in ESCC.
View Article and Find Full Text PDFPiwi-interacting RNAs (piRNAs) dysregulation occurs frequently in extensive cancers. However, there was no report about piRNA expression in esophageal cancer (EC). In this study, the expression levels of piR-823 and DNMT1, DNMT3A, DNMT3B were detected in 54 pairs of ESCC tissues and adjacent normal tissues using the quantitative real-time polymerase chain reaction method.
View Article and Find Full Text PDFThe serine peptidase inhibitor, Kunitz type 1 antisense RNA1 (), a long non-coding RNA , has been linked to cancer progression. In this study, we aimed to explore the expression in matched esophageal squamous cell carcinoma (ESCC) and normal tissues, and analyze the potential correlations of expression with clinicopathological characteristics, in order to evaluate its prognosis and therapeutic value. SPINT1-AS1 expression was detected in 99 cases of matched ESCC and normal tissues samples using the quantitative real-time polymerase chain reaction method.
View Article and Find Full Text PDFBackground: Our previous studies demonstrate that the major histocompatibility complex (MHC) is associated with the progression of esophageal squamous cell carcinoma (ESCC). HLA-DQA1, which belongs to the MHC Class II family, may be a potential biomarker in ESCC progression. However, the association between HLA-DQA1 and ESCC in high-incidence area of northern China has not been well characterized.
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