15 research outputs found
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A panel of biomarkers for esophageal squamous cell carcinoma
Overexpression of Periostin and Lumican in Esophageal Squamous Cell Carcinoma
To identify biomarkers for early detection for esophageal squamous cell carcinoma (ESCC), we previously carried out a genome-wide gene expression profiling study using an oligonucleotide microarray platform. This analysis led to identification of several transcripts that were significantly upregulated in ESCC compared to the adjacent normal epithelium. In the current study, we performed immunohistochemical analyses of protein products for two candidates genes identified from the DNA microarray analysis, periostin (POSTN) and lumican (LUM), using tissue microarrays. Increased expression of both periostin and lumican was observed in 100% of 137 different ESCC samples arrayed on tissue microarrays. Increased expression of periostin and lumican was observed in carcinoma as well as in stromal cell in the large majority of cases. These findings suggest that these candidates can be investigated in the sera of ESCC patients using ELISA or multiple reaction monitoring (MRM) type assays to further explore their utility as biomarkers
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Genomewide mRNA profiling of esophageal squamous cell carcinoma for identification of cancer biomarkers
Cancer of the esophagus is of two main types, each with distinct etiological and pathological characteristics. Esophageal squamous cell carcinoma (ESCC) is predominant type of esophageal cancers worldwide comprising almost 95% of cases. While ESCC is prevalent in the developing world, esophageal adenocarcinoma is commonly seen in the developed country, usually in association with Barrett's esophagus. In spite of its higher prevalence, ESCC has not been studied as intensively as esophageal adenocarcinoma. ESCC and esophageal adenocarcinoma are common cancers worldwide with poor survival rate among patients mainly because both of these cancers lack early biomarkers of identification. Molecular mechanisms contributing to initiation and progression of esophageal squamous cell carcinoma are still poorly understood. Development of DNA microarray technology allows high-throughput identification of gene expression profiles in cancers. In order to identify molecules as candidates for early diagnosis and/or as therapeutic targets, we analyzed the mRNA expression profiles of 20 cases of ESCC using whole genome DNA microarrays. A total of 2,235 genes were differentially regulated in the tumors as compared to the corresponding adjacent normal epithelium of which 881 were significantly upregulated. We validated two molecules that were not previously reported to be overexpressed in ESCC, oral cancer overexpressed 2 (ORAOV2) and fibroblast activation protein (FAP), by immunohistochemical labeling of tissue microarrays and archival tissue sections and found that they were overexpressed in 98% (116/118) and 68% (79/116) of cases, respectively. By gene enrichment analysis, we identified significant downregulation of several genes in the arachidonic acid metabolic pathway. Overall, using this approach we have identified a number of promising novel candidates that can be validated Further for their potential to serve as biomarkers for ESCC
Big Data Analytics for Medical Image Analysis in Screening and Detection of Pancreatic Tumor
What have we learned from the streptozotocin-induced animal model of sporadic Alzheimer's disease, about the therapeutic strategies in Alzheimer's research
Experimental models that faithfully mimic the developmental pathology of sporadic Alzheimer's disease (sAD) in humans are important for testing the novel therapeutic approaches in sAD treatment. Widely used transgenic mice AD models have provided valuable insights into the molecular mechanisms underlying the memory decline but, due to the particular β-amyloid-related gene manipulation, they resemble the familial but not the sporadic AD form, and are, therefore, inappropriate for this purpose. In line with the recent findings of sAD being recognised as an insulin resistant brains state (IRBS), a new, non-transgenic, animal model has been proposed as a representative model of sAD, developed by intracerebroventricular application of the betacytotoxic drug streptozotocin (STZ-icv). The STZ-icv-treated animals (mostly rats and mice) develop IRBS associated with memory impairment and progressive cholinergic deficits, glucose hypometabolism, oxidative stress and neurodegeneration that share many features in common with sAD in humans. The therapeutic strategies (acetylcholinesterase inhibitors, antioxidants and many other drugs) that have been tested until now on the STZ-icv animal model have been reviewed and the comparability of the drugs' efficacy in this non-transgenic sAD model and the results from clinical trials on sAD patients, evaluated