Keywords:
CANCER
;
EXPRESSION
;
IN-VITRO
;
tumor
;
carcinoma
;
COMBINATION
;
Germany
;
PROSTATE
;
VITRO
;
POPULATION
;
CDNA
;
GENE
;
GENE-EXPRESSION
;
GENES
;
GENOME
;
microarray
;
PROTEIN
;
RNA
;
transcription
;
TISSUE
;
MECHANISM
;
BIOMARKERS
;
mechanisms
;
DOWN-REGULATION
;
PROGRESSION
;
gene expression
;
microarrays
;
prostate cancer
;
PROSTATE-CANCER
;
LOCALIZATION
;
CARCINOMAS
;
CDNA MICROARRAYS
;
microdissection
;
prostate carcinoma
;
QUANTITIES
;
MANAGEMENT
;
CDNA MICROARRAY
;
HETEROGENEITY
;
molecular
;
RADICAL PROSTATECTOMY
;
EXTRACTION
;
PROTOCOL
;
MOLECULAR-MECHANISMS
;
biomarker
;
RECOVERY
;
RNAS
;
PRESERVATION
;
HIGH-GRADE
;
NEEDLE BIOPSIES
;
ALTERNATE READING FRAME
;
COA RACEMASE P504S
;
ISCHEMIA TIME
;
laser microdissection
;
tissue banking
Abstract:
Molecular analyses of early-stage prostate cancers are necessary to assess their potential clinical significance based on established and/or novel biomarkers for tailored clinical management. A prerequisite for the application of RNA-based analyses of such, mostly macroscopically-undetectable, small prostate carcinomas is the recovery and preservation of sufficient RNA quantities and quality. Furthermore, in prostate cancer, heterogeneity is a common phenomenon that includes a juxtaposition of different tissue compositions and variable histological grades within the same tumor focus. To better understand the molecular mechanisms of prostate cancer, it is essential to correlate molecular data with a specific cell type. Here, we present a tissue collecting protocol which is aligned with the preoperative evaluation of tumor localization. In combination with the technique of laser microdissection and pressure catapulting, we are able to preserve RNA of high quality from homogeneous cell populations of macroscopically-undetectable small prostate carcinomas. To obtain the necessary RNA quantities for whole genome cDNA microarrays, the isolated total RNAs were amplified by T7-based RNA-polymerase in vitro transcription. The microarray analyses (Human Unigene Set RZPD3.1) resulted in 216 differentially expressed genes (191 down-regulated, 25 Up-regulated). Among these were several known prostate cancer relevant genes, such as AMACR, TARP, LIM, GPR160 (all up-regulated), CAVI, NTNI, MTIX; CLU, TRIM29, SPARCLI and HSPB8 (,all down-regulated)
Type of Publication:
Journal article published
Deep Link:
http://www.dkfz.de/cgi-bin/sel?http://www.dkfz.de/PublicationManager/Show/ShowJournal.aspx%3fpublishedId=2649
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