Here, we used differential expression of CD90 to isolate viable CD90-expressing stromal cells directly from prostate cancer specimens for gene expression profiling and comparison to normal tissue stromal cells.
Furthermore, in a study of prostate cancer, Stuart and colleagues [18] linked, in silico, the relative content of tumor cells, benign hyperplastic epithelium, stroma, and dilated cystic glands in 88 prostate specimens to gene expression levels determined by microarray analysis.
The 38 wild-type specimens within gene expression group 4 exhibited high relative expression of IGF1R, neural markers, INSR, KIT, CD34, and IGF1, and low relative IGF2.
Primary breast epithelial cells were separated based on surface expression of EPCAM (TACSTD1) from reduction mammoplasty specimens and gene expression levels were determined by microarray [ 47].
Our system should be capable of using both microdissected and biopsy specimens for gene expression analysis on a much larger scale.
In all 25 breast cancers, when we compared between the two different specimen types, gene expression status from FFPE specimens tended to have higher noise levels defined by a higher number of gene probes not detectable during the DNA microarray analyses.
We used 103 primary NMIBC specimens for microarray gene expression profiling.
All specimens subjected to gene expression analyses had a tumour cellularity of at least 80%, as determined by haematoxylin and eosin stained sections.
(14, 15) To investigate the expression status of candidate miR-218-target genes in PCa clinical specimens, we examined gene expression profiles in the Gene Expression Omnibus (GEO) database (accession number: GSE29079).
