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pmid:32938283
Gene expression analysis reveals a pitfall in the molecular research of prostate tumors relevant to Gleason score.
Wensheng Zhang · Yan Dong · Kun Zhang
Journal of bioinformatics and computational biology · 2020 doi:10.1142/S0219720020500328
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Due to the well-known intratumoral multifocal occurrence of different patterns, a biological sample from a GS-7 tumor used in a molecular experiment will be uncertain regarding the actually represented pattern if no special attention is given to specimen preparation. In this study, by an integrative analysis of several published gene expression datasets, one of which is the profiling of the paired GP-3 (Gleason pattern 3) and GP-4 (Gleason pattern 4) specimens of 13 GS-7 tumors, we demonstrate that such an uncertainty can be frequently observed in the published data. More specifically, our results suggest that the GS-7 specimens used to generate the frequently-cited The Cancer Genome Atlas (TCGA) data and the Gene Expression Omnibus (GEO) dataset GSE21032 which largely are individual GP-3 or GP-4 specimens rather than the \"intermediate\" specimens of GP-3 and GP-4. 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