MicroRNA Profiling Identifies Potential Diagnostic and Prognostic Markers in Prostate Cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE14857 | GEO | 2009/09/15
SECONDARY ACCESSION(S): PRJNA112141
REPOSITORIES: GEO
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE26022: [Gene Expression Training Set] Protein-coding and MicroRNA Biomarkers of Recurrence of Prostate Cancer Following Radical Prostatectomy GSE26242: [Gene Expression Validation Set] Protein-coding and MicroRNA Biomarkers of Recurrence of Prostate Cancer Following Radical Prostatectomy GSE26245: [miRNA Training Set] Protein-coding and MicroRNA Biomarkers of Recurrence of Prostate Cancer Following Radical Prostatectomy GSE26247: [miRNA Validation Set] Protein-coding and MicroRNA Biomarkers of Recurrence of Prostate Cancer Following Radical Prostatectomy Refer to individual Series
2011-06-01 | E-GEOD-26367 | biostudies-arrayexpress
Project description:Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression signature detected in the primary tumor represents true biological potential of aggressive disease and provides improved prediction of early prostate cancer metastasis. Methods: A nested case-control design was used to select 639 patients from the Mayo Clinic tumor registry that underwent radical prostatectomy between 1987 and 2001. A genomic classifier (GC) was developed by modeling differential RNA expression using 1.4 million feature high-density expression arrays of men enriched for rising PSA after prostatectomy, including 213 that experienced early clinical metastasis after biochemical recurrence. A training set was used to develop a random forest classifier of 22 markers to predict for cases - men with early clinical metastasis after rising PSA. Performance of GC was compared to prognostic factors such as Gleason score and previous gene expression signatures in a withheld validation set. Results: Expression profiles were generated from 545 unique patient samples, with median follow-up of 16.9 years. GC achieved an area under the receiver operating characteristic curve of 0.75 (0.67 - 0.83) in validation, outperforming clinical variables and gene signatures. GC was the only significant prognostic factor in multivariable analyses. Within Gleason score groups, cases with high GC scores experienced earlier death from prostate cancer and reduced overall survival. The markers in the classifier were found to be associated with a number of key biological processes in prostate cancer metastatic disease progression. Conclusion: A genomic classifier was developed and validated in a large patient cohort enriched with prostate cancer metastasis patients and a rising PSA that went on to experience metastatic disease. This early metastasis prediction model based on genomic expression in the primary tumor may be useful for identification of aggressive prostate cancer. 545 formalin-fixed paraffin-embedded (FFPE) tissue samples from primary prostate cancer obtained from Radical Prostatectomy.
2013-07-01 | E-GEOD-46691 | biostudies-arrayexpress
Project description:Introduction: MicroRNAs (miRNAs) are small, non-coding RNA molecules involved in post-transcriptional gene regulation and have recently been shown to play a role in cancer metastasis. In solid tumors, especially breast cancer, alterations in miRNA expression contribute to cancer pathogenesis, including metastasis. Considering the emerging role of miRNAs in metastasis, the identification of predictive markers is necessary to further understanding of stage-specific breast cancer development. This is a retrospective analysis that aimed to identify molecular biomarkers related to distant breast cancer metastasis development.<br><br>Methods: A retrospective case cohort study was performed in 64 breast cancer patients treated during the period from 1998-2001. The case group (n=29) consisted of patients with a poor prognosis who presented with breast cancer recurrence or metastasis during follow up. The control group (n=35) consisted of a random sample of patients with a good prognosis who did not develop breast cancer recurrence or metastasis. These patient groups were stratified according to TNM clinical stage (CS) I, II and III, and the main clinical features of the patients were homogeneous. miRNA profiling was performed using formalin-fixed, paraffin-embedded tumors. Biomarkers related to metastatic potential were identified independent of clinical stage, and a cutoff point was selected based on the optimal sensitivity and specificity (ROC curve). Finally, a hazard risk analysis of these biomarkers was performed to evaluate their relation to metastatic potential. <br><br>Results: miRNA expression profiling identified several miRNAs that were either specific and shared across all clinical stages (p?0.05). Among these, we identified miRNAs previously associated with cell motility (let-7 family), cell proliferation and invasion (hsa-miR-16 and has-miR-205) and distant metastasis (hsa-miR-21). In addition, hsa-miR-494 and hsa-miR-21 were up-regulated in metastatic cases of CSI and II. Furthermore, the combination of the 3 miRNAs identified for CSII (hsa-miR-494, hsa-miR-183 and hsa-miR-21) was significant and were a more effective risk marker compared to the single miRNAs. <br><br>Conclusions: Women with metastatic breast cancer, especially CSII, presented up-regulated levels of miR-183, miR-494 and miR-21, which were associated with a poor prognosis. These miRNAs therefore represent new risk biomarkers of breast cancer metastasis and may be useful for future targeted therapies.
2013-08-07 | E-MEXP-3947 | biostudies-arrayexpress
Project description:Microglia were derived from iPSCs and treated with mimics and inhibitors of the miRNAs hsa-miR-150-5p, hsa-miR-193a-3p and hsa-miR-19b-3p. RNA-sequencing was then performed to examine the effects of up- and down-regulation of the respective miRNAs.
| EGAD00001006842 | EGA
Project description:Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression signature detected in the primary tumor represents true biological potential of aggressive disease and provides improved prediction of early prostate cancer metastasis. Methods: A nested case-control design was used to select 639 patients from the Mayo Clinic tumor registry that underwent radical prostatectomy between 1987 and 2001. A genomic classifier (GC) was developed by modeling differential RNA expression using 1.4 million feature high-density expression arrays of men enriched for rising PSA after prostatectomy, including 213 that experienced early clinical metastasis after biochemical recurrence. A training set was used to develop a random forest classifier of 22 markers to predict for cases - men with early clinical metastasis after rising PSA. Performance of GC was compared to prognostic factors such as Gleason score and previous gene expression signatures in a withheld validation set. Results: Expression profiles were generated from 545 unique patient samples, with median follow-up of 16.9 years. GC achieved an area under the receiver operating characteristic curve of 0.75 (0.67 - 0.83) in validation, outperforming clinical variables and gene signatures. GC was the only significant prognostic factor in multivariable analyses. Within Gleason score groups, cases with high GC scores experienced earlier death from prostate cancer and reduced overall survival. The markers in the classifier were found to be associated with a number of key biological processes in prostate cancer metastatic disease progression. Conclusion: A genomic classifier was developed and validated in a large patient cohort enriched with prostate cancer metastasis patients and a rising PSA that went on to experience metastatic disease. This early metastasis prediction model based on genomic expression in the primary tumor may be useful for identification of aggressive prostate cancer.
2013-07-01 | GSE46691 | GEO
Project description:Brain tumor neurospheres (BTCSs) are cancer cells with neural stem cell-like properties found in the fatal brain tumor glioblastoma multiforme (GBM). These cells account for less than 1% of total tumor cells, are poorly differentiated and are believed to be involved in tumor induction, progression, treatment resistance and relapse. Specific miRNAs play important roles in modulating the proliferation and differentiation of neural stem cells, therefore, we aimed to identify miRNAs controlling differentiation in GBM-BTSCs through high throughput screening miRNA array profiling. We compared the miRNA expression profiles at the neurosphere state and upon 4 and 14 days of differentiation by using LIMMA, finding 21 differentially expressed miRNAs : hsa-miR-103, hsa-miR-106a, hsa-miR-106b, hsa-miR-15b, hsa-miR-17, hsa-miR-19a, hsa-miR-20a, hsa-miR-25, hsa-miR-301a and hsa-miR-93 were found up-regulated upon differentiation, while hsa-miR-100, hsa-miR-1259, hsa-miR-21, hsa-miR-22, hsa-miR-221, hsa-miR-222, hsa-miR-23b, hsa-miR-27a, hsa-miR-27b, hsa-miR-29a and hsa-miR-29b were down-regulated. Expression of 11 of the 21 miRNAs was examined by qPCR and 7 of them were validated: hsa-miR-21, hsa-miR-29a, hsa-miR-29b, hsa-miR-221 and hsa-miR-222 increased their expression upon differentiation, while hsa-miR-93 and hsa-miR-106a were inhibited. Functional studies demonstrated that miR-21 over-expression induced the expression of glial and/or neuronal cell markers in the neurospheres, possibly due to SPRY1 targeting by miR-21 in these cells, while miR-221 and miR-222 inhibition at the differentiated state reduced the expression of those differentiation markers. On the other hand, miR-29a and miR-29b targeted MCL1 in the GBM neurospheres and increased apoptotic cell death.
2013-03-05 | GSE44842 | GEO
Project description:Brain tumor neurospheres (BTCSs) are cancer cells with neural stem cell-like properties found in the fatal brain tumor glioblastoma multiforme (GBM). These cells account for less than 1% of total tumor cells, are poorly differentiated and are believed to be involved in tumor induction, progression, treatment resistance and relapse. Specific miRNAs play important roles in modulating the proliferation and differentiation of neural stem cells, therefore, we aimed to identify miRNAs controlling differentiation in GBM-BTSCs through high throughput screening miRNA array profiling. We compared the miRNA expression profiles at the neurosphere state and upon 4 and 14days of differentiation by using LIMMA, finding 21 differentially expressed miRNAs : hsa-miR-103, hsa-miR-106a, hsa-miR-106b, hsa-miR-15b, hsa-miR-17, hsa-miR-19a, hsa-miR-20a, hsa-miR-25, hsa-miR-301a and hsa-miR-93 were found up-regulated upon differentiation, while hsa-miR-100, hsa-miR-1259, hsa-miR-21, hsa-miR-22, hsa-miR-221, hsa-miR-222, hsa-miR-23b, hsa-miR-27a, hsa-miR-27b, hsa-miR-29a and hsa-miR-29b were down-regulated. Expression of 11 of the 21 miRNAs was examined by qPCR and 7 of them were validated: hsa-miR-21, hsa-miR-29a, hsa-miR-29b, hsa-miR-221 and hsa-miR-222 increased their expression upon differentiation, while hsa-miR-93 and hsa-miR-106a were inhibited. Functional studies demonstrated that miR-21 over-expression induced the expression of glial and/or neuronal cell markers in the neurospheres, possibly due to SPRY1 targeting by miR-21 in these cells, while miR-221 and miR-222 inhibition at the differentiated state reduced the expression of those differentiation markers. On the other hand, miR-29a and miR-29b targeted MCL1 in the GBM neurospheres and increased apoptotic cell death.
2013-03-05 | GSE44841 | GEO
Project description:Brain tumor neurospheres (BTCSs) are cancer cells with neural stem cell-like properties found in the fatal brain tumor glioblastoma multiforme (GBM). These cells account for less than 1% of total tumor cells, are poorly differentiated and are believed to be involved in tumor induction, progression, treatment resistance and relapse. Specific miRNAs play important roles in modulating the proliferation and differentiation of neural stem cells, therefore, we aimed to identify miRNAs controlling differentiation in GBM-BTSCs through high throughput screening miRNA array profiling. We compared the miRNA expression profiles at the neurosphere state and upon 4 and 14days of differentiation by using LIMMA, finding 21 differentially expressed miRNAs : hsa-miR-103, hsa-miR-106a, hsa-miR-106b, hsa-miR-15b, hsa-miR-17, hsa-miR-19a, hsa-miR-20a, hsa-miR-25, hsa-miR-301a and hsa-miR-93 were found up-regulated upon differentiation, while hsa-miR-100, hsa-miR-1259, hsa-miR-21, hsa-miR-22, hsa-miR-221, hsa-miR-222, hsa-miR-23b, hsa-miR-27a, hsa-miR-27b, hsa-miR-29a and hsa-miR-29b were down-regulated. Expression of 11 of the 21 miRNAs was examined by qPCR and 7 of them were validated: hsa-miR-21, hsa-miR-29a, hsa-miR-29b, hsa-miR-221 and hsa-miR-222 increased their expression upon differentiation, while hsa-miR-93 and hsa-miR-106a were inhibited. Functional studies demonstrated that miR-21 over-expression induced the expression of glial and/or neuronal cell markers in the neurospheres, possibly due to SPRY1 targeting by miR-21 in these cells, while miR-221 and miR-222 inhibition at the differentiated state reduced the expression of those differentiation markers. On the other hand, miR-29a and miR-29b targeted MCL1 in the GBM neurospheres and increased apoptotic cell death. Gene expression in differentiated cells relative to neurospheres in four different glioblastoma cultures
2013-03-05 | E-GEOD-44841 | biostudies-arrayexpress
Project description:Brain tumor neurospheres (BTCSs) are cancer cells with neural stem cell-like properties found in the fatal brain tumor glioblastoma multiforme (GBM). These cells account for less than 1% of total tumor cells, are poorly differentiated and are believed to be involved in tumor induction, progression, treatment resistance and relapse. Specific miRNAs play important roles in modulating the proliferation and differentiation of neural stem cells, therefore, we aimed to identify miRNAs controlling differentiation in GBM-BTSCs through high throughput screening miRNA array profiling. We compared the miRNA expression profiles at the neurosphere state and upon 4 and 14 days of differentiation by using LIMMA, finding 21 differentially expressed miRNAs : hsa-miR-103, hsa-miR-106a, hsa-miR-106b, hsa-miR-15b, hsa-miR-17, hsa-miR-19a, hsa-miR-20a, hsa-miR-25, hsa-miR-301a and hsa-miR-93 were found up-regulated upon differentiation, while hsa-miR-100, hsa-miR-1259, hsa-miR-21, hsa-miR-22, hsa-miR-221, hsa-miR-222, hsa-miR-23b, hsa-miR-27a, hsa-miR-27b, hsa-miR-29a and hsa-miR-29b were down-regulated. Expression of 11 of the 21 miRNAs was examined by qPCR and 7 of them were validated: hsa-miR-21, hsa-miR-29a, hsa-miR-29b, hsa-miR-221 and hsa-miR-222 increased their expression upon differentiation, while hsa-miR-93 and hsa-miR-106a were inhibited. Functional studies demonstrated that miR-21 over-expression induced the expression of glial and/or neuronal cell markers in the neurospheres, possibly due to SPRY1 targeting by miR-21 in these cells, while miR-221 and miR-222 inhibition at the differentiated state reduced the expression of those differentiation markers. On the other hand, miR-29a and miR-29b targeted MCL1 in the GBM neurospheres and increased apoptotic cell death. Five GBM cell lines at the neurosphere state or after 4 or 14 days of differentiation
2013-03-05 | E-GEOD-44842 | biostudies-arrayexpress
Project description:iPSC-derived neurons were treated with mimics and inhibitors of the miRNAs miR-150-5p, hsa-mir-193a-3p and hsa-miR-19b-3p.
RNA-sequencing was then performed to examine the effects of miRNA up-regulation and inhibition.
| EGAD00001006844 | EGA