cDNA microarray analysis of esophageal cancer: discoveries and prospects

Abstract

Recent progress in molecular biology has revealed many genetic and epigenetic alterations that are involved in the development and progression of esophageal cancer. Microarray analysis has also revealed several genetic networks that are involved in esophageal cancer. However, clinical application of microarray techniques and use of microarray data have not yet occurred. In this review, we focus on the recent developments and problems with microarray analysis of esophageal cancer.

Prognostic Value of a Nine‐Gene Signature in Glioma Patients Based on mRNA Expression Profiling

“…The analysis of the gene expression profiles associated with different outcomes may be useful for the careful selection of therapies and could also aid in tailoring treatment to the individual patient .…”

Overexpression of HSP47 in esophageal squamous cell carcinoma: clinical implications and functional analysis

“…For the development of novel treatments for ESCC, molecular biological approaches have been applied in an effort to identify specific therapeutic and diagnostic targets. Molecular markers based on genomic profiling and expression of specific proteins have been explored . In this process, we identified the 47‐kDa heat shock protein (HSP47, also known as SERPINH1) as a candidate biomarker for ESCC.…”

“…Molecular markers based on genomic profiling and expression of specific proteins have been explored. 10,11 In this process, we identified the 47-kDa heat shock protein (HSP47, also known as SERPINH1) as a candidate biomarker for ESCC. Our previous report of genomic profiling demonstrated 9.1-fold overexpression of HSP47 transcripts in esophageal tumor tissues compared with normal tissues, as well as high tumor specificity (P < 10 −7 ).…”

Gene expression profiles in esophageal adenocarcinoma predict survival after resection

“…The analysis of the gene expression profiles associated with different outcomes could potentially be useful for the careful selection of therapies and could also aid in tailoring treatment to the individual patient. 7,8 Although the expression of single genes or specific pathways have been studied in the pathophysiology of cancer, 9 it is clear that the pathogenesis and progression of cancer is a complex process involving many genes and pathways.…”

“…Gene expression profiling with microarrays is a powerful and promising modality for evaluating the expression of a large number of genes and evaluating changes in genomewide expression. 8 The gene expression pattern of the primary tumor has been shown to predict the outcome for several malignancies, including lung cancer, head and neck cancer, and breast cancer. [10][11][12][13] Several studies have explored gene expression in squamous cell cancer of the esophagus, and differential gene expression between esophageal cancer cell types has also been evaluated.…”