Prostate Cancer Gene Expression Changes after Treatment with Neoadjuvant Dutasteride
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE9972 | GEO | 2008/12/01
SECONDARY ACCESSION(S): PRJNA103991
REPOSITORIES: GEO
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Project description:To identify molecular changes underlying the chemopreventive or tumor promoting effects of SRD5A inhibition, we profiled gene expression changes in benign prostate epithelium from patients with PCa treated with dutasteride, a dual SRD5A inhibitor. Subjects were aged 45-80 years with clinically localized PCa (T1C to T2b), Gleason score <7, and serum PSA 2.5-10 ng/dL. 81 men were randomized to immediate RP (n=25) or to dutasterdie at 0.5 mg (n=26) or 3.5 mg (n=24) orally per day for four months prior to RP. Prostate samples embedded in OCT were used for laser capture microdissection (LCM). Keywords: clinical trial, Dutasteride, PEDB, dose response, prostate cancer, microarray Subjects were aged 45-80 years with clinically localized PCa (T1C to T2b), Gleason score <7, and serum PSA 2.5-10 ng/dL. 81 men were randomized to immediate RP (n=25) or to dutasterdie at 0.5 mg (n=26) or 3.5 mg (n=24) orally per day for four months prior to RP. Prostate samples embedded in OCT were used for laser capture microdissection (LCM). Approximately 2000-3000 epithelial cells per sample were collected from 8µm sections using the Arcturus Veritas™ Laser Capture Microdissection System according to the Arcturus HistoGene LCM Frozen Section Staining Kit Protocol (Mountain View, CA). Total RNA was isolated using the Arcturus Picopure™ Kit, and the samples were treated with DNAse using the Qiagen RNase-Free DNase Set (Qiagen Inc, Valencia, CA). Total RNA was subjected to two rounds of linear amplification using the Ambion MessageAmpII Kit (Ambion Inc, Austin, TX), quantitated in a Gene-Spec III spectrophotometer (Hitachi, Tokyo) and aRNA integrity evaluated using gel electrophoresis. 40 Human Prostate (PEDB) Microarrays were run with sample on the Cy3 channel against a Human Gold Standard (v5) on the Cy5 channel.
2008-12-01 | E-GEOD-9972 | biostudies-arrayexpress
Project description:The dataset consists of 266 NCCN very low/low or favorable-intermediate risk PCa patients who underwent diagnostic prostate biopsy between 2000 and 2014 and were treated with RP in six community or academic practices: University of Calgary, Cedars-Sinai, Spectrum Health, Cleveland Clinic, MD Anderson Cancer Center and Johns Hopkins. All patients had complete tumor pathology from biopsy and prostatectomy. Low risk PCa was defined as T1c or cT2a, and Gleason score (GS) ≤ 6, and PSA < 10ng/ml and favorable-intermediate risk was no greater than predominant GS 3 and percent positive biopsy cores < 50%, and either cT2b-cT2c or PSA 10-20ng/ml.
2018-09-08 | GSE119616 | GEO
Project description:We profiled genome-wide gene expression of human prostate benign and malignant tissue to identify potential biomarkers and immunotherapy targets. We stratified malignant specimens according to their TMPRSS2:ERG gene fusion status. Radical prostatectomy tissue samples were obtained from the Hershey Foundation Prostate Cancer Serum and Tumor Bank at our institution. Morphologic diagnosis was done by a pathologist. OCT blocks containing >30% of PCa tissue (with Gleason score of 6 or 7) were selected for RNA purification. A biopsy punch was used to select the PCa tissues from the OCT sample blocks. Benign or PCa tissues were homogenized using a TissueLyser (Qiagen) at 28 Hz for 5 min. Total RNA was isolated using Trizol reagent. RNA was quantified by NanoDrop ND-1000 spectrophotometer, and quality was evaluated with Agilent RNA 6000 NanoChip and the 2100 Bioanalyzer, with 28S/18S ratios and RIN determined by 2100 Expert software.
2014-03-18 | E-GEOD-55945 | biostudies-arrayexpress
Project description:Predicting Outcomes of Prostate Cancer Immunotherapyby Personalized Mathematical Models
Natalie Kronik1¤, Yuri Kogan1, Moran Elishmereni1, Karin Halevi-Tobias1, Stanimir Vuk-Pavlovic ́2.,Zvia Agur1*.1Institute for Medical BioMathematics, Bene Ataroth, Israel,2College of Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
Abstract
Background:Therapeutic vaccination against disseminated prostate cancer (PCa) is partially effective in some PCa patients.We hypothesized that the efficacy of treatment will be enhanced by individualized vaccination regimens tailored by simplemathematical models.Methodology/Principal Findings:We developed a general mathematical model encompassing the basic interactions of avaccine, immune system and PCa cells, and validated it by the results of a clinical trial testing an allogeneic PCa whole-cellvaccine. For model validation in the absence of any other pertinent marker, we used the clinically measured changes inprostate-specific antigen (PSA) levels as a correlate of tumor burden. Up to 26 PSA levels measured per patient were dividedinto each patient’s training set and his validation set. The training set, used for model personalization, contained thepatient’s initial sequence of PSA levels; the validation set contained his subsequent PSA data points. Personalized modelswere simulated to predict changes in tumor burden and PSA levels and predictions were compared to the validation set.The model accurately predicted PSA levels over the entire measured period in 12 of the 15 vaccination-responsive patients(the coefficient of determination between the predicted and observed PSA values wasR2= 0.972). The model could notaccount for the inconsistent changes in PSA levels in 3 of the 15 responsive patients at the end of treatment. Each validatedpersonalized model was simulated under many hypothetical immunotherapy protocols to suggest alternative vaccinationregimens. Personalized regimens predicted to enhance the effects of therapy differed among the patients.Conclusions/Significance:Using a few initial measurements, we constructed robust patient-specific models of PCaimmunotherapy, which were retrospectively validated by clinical trial results. Our results emphasize the potential value andfeasibility of individualized model-suggested immunotherapy protocols.
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2012-05-09 | E-GEOD-35733 | biostudies-arrayexpress
Project description:Purpose: Patients with locally advanced prostate cancer after radical prostatectomy are candidates for secondary therapy. However, this higher risk population is heterogeneous. Many cases do not metastasize even when conservatively managed. Given the limited specificity of pathological features to predict metastasis, newer risk prediction models are needed. We report a validation study of a genomic classifier that predicts metastasis after radical prostatectomy in a high risk population. Method:A case-cohort design was used to sample 1,010 patients after radical prostatectomy at high risk for recurrence who were treated from 2000 to 2006. Patients had preoperative prostate specific antigen greater than 20 ng/ml, Gleason 8 or greater, pT3b or a Mayo Clinic nomogram score of 10 or greater. Patients with metastasis at diagnosis or any prior treatment for prostate cancer were excluded from analysis. A 20% random sampling created a subcohort that included all patients with metastasis. We generated 22-marker genomic classifier scores for 235 patients with available genomic data. ROC and decision curves, competing risk and weighted regression models were used to assess genomic classifier performance. Patients treated with RP between 2000 and 2006 were identified from the Mayo Clinic tumor registry for a case-cohort study design. This involved identification of all patients with metastasis and a representative of the full cohort .Thus, men at high risk of recurrence post-RP (open/robotic) with no prior neoadjuvant/prostate cancer treatment were selected based on any of preoperative PSA >20 ng/mL, pathological Gleason score (GS) â¥8, SVI, or GPSM (GS; preoperative PSA; SVI; margins) score â¥10.The cohort of 1,010 men included 73 cases with metastasis as evidenced by CT or bone scan. A 20% random sample (n=202) was drawn from the cohort. This included 19 of 73 metastatic cases. To increase sampling of metastasis, the remaining 54 metastatic cases were added, resulting in a final study set of 256 patients. 21 samples did not pass QC and were eliminated from this study. Patients not experiencing metastasis regardless of BCR (defined as follow-up PSA â¥0.4 ng/mL >30 days post-RP) were censored at last follow-up. The study was approved by Mayo Clinic Institutional Review Board.
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