GEO DataSets

(Submitter supplied) Radical prostatectomy remains one of the more widely-used treatment options for men with prostate cancer. However, few molecular biomarkers have been established to predict patients who are at high risk of biochemical failure. To our knowledge, this is the first such report on miRNA profiling in radical prostatectomy tissue using Nanostring. In addition, this is the first report to look at the prognostic value of miRNAs in the setting of biochemical failure and salvage radiation therapy post-radical prostatectomy.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL17537

43 Samples

Download data: RCC

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL11309 GPL11350

480 Samples

Download data

(Submitter supplied) To identify biomarkers predictive of biochemical recurrence, we isolated the RNA from 70 formalin-fixed paraffin-embedded (FFPE) radical prostatectomy specimens with known long term outcome to perform DASL expression profiling with a custom-designed panel of 522 prostate cancer relevant genes that we designed. We identified a panel of ten protein-coding genes and two miRNA genes that could be used to separate patients with and without biochemical recurrence (p < 0.001), as well as for the subset of 42 Gleason score 7 patients (p < 0.001). more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL11350

96 Samples

Download data: TXT

(Submitter supplied) To identify biomarkers predictive of biochemical recurrence, we isolated the RNA from 70 formalin-fixed paraffin-embedded (FFPE) radical prostatectomy specimens with known long term outcome to perform DASL expression profiling with a custom-designed panel of 522 prostate cancer relevant genes that we designed. We identified a panel of ten protein-coding genes and two miRNA genes that could be used to separate patients with and without biochemical recurrence (p < 0.001), as well as for the subset of 42 Gleason score 7 patients (p < 0.001). more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL11350

96 Samples

Download data: TXT

(Submitter supplied) To identify biomarkers predictive of biochemical recurrence, we isolated the RNA from 70 formalin-fixed paraffin-embedded (FFPE) radical prostatectomy specimens with known long term outcome to perform DASL expression profiling with a custom-designed panel of 522 prostate cancer relevant genes that we designed. We identified a panel of ten protein-coding genes and two miRNA genes that could be used to separate patients with and without biochemical recurrence (p < 0.001), as well as for the subset of 42 Gleason score 7 patients (p < 0.001). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL11309

96 Samples

Download data: TXT

(Submitter supplied) To identify biomarkers predictive of biochemical recurrence, we isolated the RNA from 70 formalin-fixed paraffin-embedded (FFPE) radical prostatectomy specimens with known long term outcome to perform DASL expression profiling with a custom-designed panel of 522 prostate cancer relevant genes that we designed. We identified a panel of ten protein-coding genes and two miRNA genes that could be used to separate patients with and without biochemical recurrence (p < 0.001), as well as for the subset of 42 Gleason score 7 patients (p < 0.001). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL11309

192 Samples

Download data: TXT

(Submitter supplied) The purpose of this study are: - To identify new biomarkers specific for prostate cancer (PCa) that can be used as diagnostic markers in the urine of individuals with high probability of PCa (abnormal PSA and/or digital rectal examination). - To validate the utility of these new biomarkers, as well as others already known such as PCA3, fusion gene TMPRSS2-ERG, GOLPH2 and SPINK1. - To establish a prediction model for the diagnosis of PCa based on the expression of these biomarkers. more...

Organism:

synthetic construct; Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL14613

60 Samples

Download data: CEL

(Submitter supplied) Prostate cancer is the second leading cause of cancer death in the United States and Europe. Diagnosis and risk estimation of cancer recurrence is often critical with the common clinicopathologic parameters of prostate-specific antigen, tumor stage and grade. Therefore it is mandatory to develop new diagnostic and prognostic markers for prostate cancer. miRNAs have been shown to be novel markers in a series of other cancer types. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6955

24 Samples

Download data: TIFF, XML

(Submitter supplied) To test whether a genomic classifier (GC) predicts development of metastatic disease in patients treated with salvage radiation therapy (SRT) after radical prostatectomy (RP).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

70 Samples

Download data: CEL

(Submitter supplied) It is of paramount importance to unravel the molecular mechanisms underlying PCa progression to develop novel diagnostic and therapeutic approaches. MicroRNA (miRNA) profiling through microarrays is an invaluable tool to identify a miRNA signature, which is required to determine the general and specific expression alterations between distinct types of tissues.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL10701

40 Samples

Download data: GPR

(Submitter supplied) The objective of this study was to utilize a microarray platform to determine the microRNA (miRNA) expression profile in prostate cancer tissue from patients who underwent radical prostatectomy and were followed for an average of 47 months. The GeneChip® miRNA Array (Affymetrix) contains more than 46,000 probes, and more than 1,100 mature human miRNAs and transcripts. An expression level higher or lower than 1.1 with a p<0.05 were considered to be differentially expressed. more...

Organism:

synthetic construct; Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL8786

57 Samples

Download data: CEL