RNA profiling from prostate FFPE specimens
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Svitlana Tyekucheva
PROVIDER: E-GEOD-54808 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:To study feasibility of gene expression profiling from FFPE tissues using NanoString nCounter platform, we designed a pilot study utilizing samples from prostate cancer cohort. We selected samples from large-scale epidemiologic studies and clinical trials representative of a wide variety of fixation times, block ages and block storage conditions. five paired tumor and adjacent normal prostate tissue speciemens with technical replicates
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Project description:From over 300 patients two groups were selected which had prostate tumors with either well differentiated (WD) or poorly differentiated (PD) after radical Prostatectomy. The PD group had Gleason score 8-9, seminal vesicle invasion, and poorly differentiated tumor cells; the WD group had Gleason score 6-7, no seminal vesicle invasion, and well to moderately differentiated tumor cells. LCM compatible specimens were selected from age and race (Caucasians) matched PD or WD patients with no family history of CaP. Matching normal epithelal cells were also selected for the analysis. From 40 patients specimens were obtained under an IRB-approved protocol from patients treated with radical prostatectomy (RP) at Walter Reed Army Medical Center (WRAMC).
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Project description:Although many genes have been proposed to be involved in prostate carcinogenesis, no single gene or gene profile has shown to have prognostic value. The main challenge for clinical management is to distinguish slowly growing tumors from those that will relapse. In this study, we compared expression profiles of 18 prostate samples (7 with Gleason 6, 8 with Gleason 7 and 3 with Gleason score equal or higher than 8) and 5 non-neoplastic prostate samples, using the GeneChip® Human Exon Array 1.0 ST of Affymetrix. Microarray analysis revealed 99 genes showing statistically significant differences among tumors with Gleason score 6, 7 and 8. In addition, mRNA expression of 29 selected genes was analyzed by qRT-PCR with microfluidic cards in an extended series of 30 prostate tumors. From these, 29 were selected to be validated and the differential expression of 18 of them (62%) was independently confirmed by quantitative real-time RT-PCR (14 upregulated and 4 downregulated in higher Gleason scores) in the extended series. This list was further narrowed down to 12 genes that were differentially expressed in tumors with Gleason score of 6-7 vs 8. Finally, the protein levels of two genes from the 12-gene signature (SEC14L1 and TCEB1) were additionally validated by immunohistochemistry. Strong protein levels of both genes were correlated with Gleason score, stage, and PSA progression. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process.
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Project description:The identification of novel oncogenic and druggable targets in patient subgroups with poor prognosis may help to develop corresponding targeted therapy approaches. Microarray data analyses of 59 prostate cancer and 39 benign tissue samples revealed major transcriptional differences. More than 5.000 genes were identified to be differentially expressed between matched tumor and benign samples. In the prostate cancer samples we identified 144 differentially expressed associated with Gleason pattern. Illumina microarray experiments were done from of 59 prostate cancer and 39 matched benign tissue samples. We analyzed for differentially expressed genes between tumor and benign tissues, and between tumors with higher Gleason patter (4+3 and higher) against lower Gleason patter (3+4 and lower).
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Project description:Although many genes have been proposed to be involved in prostate carcinogenesis, no single gene or gene profile has shown to have prognostic value. The main challenge for clinical management is to distinguish slowly growing tumors from those that will relapse. In this study, we compared expression profiles of 18 prostate samples (7 with Gleason 6, 8 with Gleason 7 and 3 with Gleason score equal or higher than 8) and 5 non-neoplastic prostate samples, using the GeneChip® Human Exon Array 1.0 ST of Affymetrix. Microarray analysis revealed 99 genes showing statistically significant differences among tumors with Gleason score 6, 7 and 8. In addition, mRNA expression of 29 selected genes was analyzed by qRT-PCR with microfluidic cards in an extended series of 30 prostate tumors. From these, 29 were selected to be validated and the differential expression of 18 of them (62%) was independently confirmed by quantitative real-time RT-PCR (14 upregulated and 4 downregulated in higher Gleason scores) in the extended series. This list was further narrowed down to 12 genes that were differentially expressed in tumors with Gleason score of 6-7 vs 8. Finally, the protein levels of two genes from the 12-gene signature (SEC14L1 and TCEB1) were additionally validated by immunohistochemistry. Strong protein levels of both genes were correlated with Gleason score, stage, and PSA progression. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process. 23 Samples were analyzed.
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Project description:Gene signatures in prostate cancer linked to the Gleason score
| PRJNA147105 | ENA