Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0596263 (carcinogenesis)
 64,820 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Pathological changes in the epigenetic landscape of chromatin are hallmarks of cancer. The caudal-type homeobox gene CDX2 is not expressed in normal gastric epithelia but rather in adult intestinal epithelia, and it is overexpressed in intestinal metaplasia (IM). However, it remains unclear how CDX2 transcription is suppressed in normal gastric epithelial cells and overexpressed in IM. Here, we demonstrate that methylation of the CDX2 promoter increases with age in Helicobacter pylori-positive, noncancerous gastric tissue, whereas the promoter is demethylated in paired gastric tumors in which CDX2 is upregulated. Moreover, we also found that the CDX2 promoter is demethylated in IM as well as gastric tumor. Immunohistochemistry revealed that CDX2 is present in foci of parts of the gastric mucosae but highly expressed in IM as well as in gastric tumors, suggesting that the elevated level of CDX2 in IM and gastric tumors may be attributable to promoter demethylation. Our data suggest that CDX2 repression may be associated with promoter methylation in noncancerous H. pylori-positive mucosa but its upregulation might be attributable to increased promoter activity mediated by chromatin remodeling during gastric carcinogenesis.
Carcinogenesis 2020 Oct 15
PMID:Methylation of the CDX2 promoter in Helicobacter pylori-infected gastric mucosa increases with age and its rapid demethylation in gastric tumors is associated with upregulated gene expression. 3270 61

Helicobacter pylori (H. pylori)-negative gastric cancer (HPNGC) usually shows a gastric mucin phenotype, but there are a few case reports of HPNGC with an intestinal mucin phenotype. We herein report a case of multiple HPNGC with an intestinal mucin phenotype showing a gastritis-like appearance. A 68-year-old H. pylori-uninfected man was suspected of having antral gastritis on endoscopy, but a histologic examination revealed multiple well-differentiated adenocarcinomas with positive-CDX2/MUC2/CD10 and negative-MUC5AC/MUC6. P53 was overexpressed, and intestinal metaplasia was sporadically detected in the non-atrophic mucosal background, thus indicating H. pylori-unrelated multistage carcinogenesis. The neoplastic surfaces were covered by a non-neoplastic epithelium, which caused a gastritis-like appearance. This report suggested the possibility of overlooking this neoplasm.
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PMID:Synchronously Multiple Gastric Adenocarcinomas with Intestinal Mucin Phenotype in a Patient not Infected with Helicobacter Pylori, Showing a Gastritis-like Appearance. 3271 22

Pancreatic cancer (PaCa) is one of the most fatal cancers in the world. Although great efforts have made to explore the mechanisms of PaCa oncogenesis, the prognosis of PaCa patients is still unsatisfactory. Thus, it is imperative to further understand the potential carcinogenesis of PaCa and reliable prognostic models.The gene expression profile and clinical information of GSE21501 were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was applied to explore the potent genes associated with the overall survival (OS) events of PaCa patients. Cox regression model was applied to selecting prognostic genes and establish prognostic model. The prognostic values of six-gene signature were validated in TCGA-PAAD cohort.According to the WGCNA analysis, a total of 19 modules were identified and 115 hub genes in the mostly associated module were reserved for next analysis. According to the univariate and multivariate Cox regression analysis, we established a six-gene signature (FTSJ3, STAT1, STX2, CDX2, RASSF4, MACF1) which could effectively evaluate the overall survival (OS) of PaCa patients. In validated patients' cohorts, the six-gene signature exhibited excellent prognostic value in TCGA-PAAD cohort as well.We developed a six-gene signature to exactly predict OS of PaCa patients and provide a novel personalized strategy for evaluating prognosis. The findings may be contributed to medical customization and therapeutic decision in clinical practice.
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PMID:Construction of a 6-gene prognostic signature to assess prognosis of patients with pancreatic cancer. 3292 50


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