Objective: ERCC4 is one of the most significant molecules of Nucleotide Excision Repair (NER), which has been researched due to its high expression in colorectal cancer (CRC). This study aimed to find out the ceRNA (competitive endogenous RNA) network of in CRC.
Methods And Materials: Pan cancer mRNA expression of was evaluated using TCGA database.
Background: Cancer stem cells (CSCs) play an important role in drug resistance, recurrence, and metastasis of tumors. Considering the heterogeneity of tumors, this study aimed to explore the key genes regulating stem cells in intestinal-type and diffuse-type gastric cancer.
Methods: RNA-seq data and related clinical information were downloaded from The Cancer Genome Atlas (TCGA).
We have previously reported that the virulence factor HpslyD is related to the occurrence of gastric diseases. However, its mechanism of pathogenesis is still unclear. It is commonly believed that the Wnt/β-catenin pathway is indispensable for the development of gastric cancer, but it is unclear whether HpslyD and Wnt/β-catenin interact during the development of gastric diseases.
View Article and Find Full Text PDFTo explore the mutation characteristics of H. pylori resistance-related genes to antibiotics of clarithromycin (CAM), levofloxacin (LVX) and metronidazole, 23SrRNA, gyrA, gyrB, rdxA, and frxA genes were amplified and sequenced, respectively. Molecular docking study was performed to explore molecular interactions between chemotherapeutic agents and target proteins.
View Article and Find Full Text PDFThe link between microbiota and gastric cancer (GC) has attracted widespread attention. However, the phylogenetic profiles of niche-specific microbiota in the tumor microenvironment is still unclear. Here, mucosa-associated microorganisms from 62 pairs of matched GC tissues and adjacent non-cancerous tissues were characterized by 16S rRNA gene sequencing.
View Article and Find Full Text PDF: This study mainly focused on revealing ceRNA network in gastric cancer (GC) with infection after comparing with GC without infection and exploring the biological function and prognostic relevance of related molecules. : The RNA expression profile data of GC patients with or without infection were extracted from TCGA GDC data portal, including 20 GC cases with infection and 168 GC cases without infection. Differentially expressed lncRNAs, miRNAs and mRNAs were unveiled by package edgeR of R, and lncRNA-miRNA-mRNA ceRNA network was constructed by integrating the miRNA target information and the expression data of lncRNAs, miRNAs and mRNAs.
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