MicroRNA alterations associated to clinical response in advanced stage ovarian cancer patients (training set)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE25202 | GEO | 2012/03/09
SECONDARY ACCESSION(S): PRJNA142789
REPOSITORIES: GEO
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Project description:In order to investigate miRNA alterations associated to early relapse in ovarian cancer patients, we analyzed miRNA expression profile in a training set of 55 surgical specimens including 30 early relapsing and 25 late relapsing patients. Patients were selected on the basis of residual disease after primary surgery and time to relapse (TTR) after front-line chemotherapy. For training set, a selection of the outliers concerning TTR was made: as early relapsing were defined optimally debulked (OD) patients with a TTR< 12 months and sub-optimally debulked (SOD) patients with TTR< 6 months; late relapsing were defined OD patients with TTR> 36 months and SOD patients with TTR> 12 months. Clinical codes: Histotype: according to International Federation of Gynecological and Obstetrics guidelines Stage: according to International Federation of Gynecological and Obstetrics guidelines Grading: according to International Federation of Gynecological and Obstetrics guidelines Debulking: NED: not evident disease; mRD: minimal residual disease; GRD: gross residual disease Therapy code: P: Platinum without taxanes; PT: Platinum/paclitaxel End Point: Early: relapse whithin 12 and 6 months from the end of therapy for optimally (NED+ mRD) and sub-optimally (GRD) debulked patients respectively. Late: median time to relapse 48 and 34 months from the end of therapy for optimally and sub-optimally debulked patients respectively.
2012-03-09 | E-GEOD-25202 | biostudies-arrayexpress
Project description:In order to investigate miRNA alterations associated to early relapse in ovarian cancer patietns, we analyzed miRNA expression profile in a test set of 30 surgical specimens including 13 early and 17 late relapsing patients. Samples included in test set were obtained from formalin-fixed paraffin-embedded (FFPE) specimens.
2012-03-09 | GSE25203 | GEO
Project description:In order to investigate miRNA alterations associated to early relapse in ovarian cancer patietns, we analyzed miRNA expression profile in a test set of 30 surgical specimens including 13 early and 17 late relapsing patients. Samples included in test set were obtained from formalin-fixed paraffin-embedded (FFPE) specimens. Patients were selected on the basis of residual disease after primary surgery and time to relapse (TTR) after front-line chemotherapy. For the test set, a selection of the outliers concerning TTR was made: 12 months from the end of therapy was the TTR selected to define early (<12 months) or late (>12 months) relapsing patients. Clinical codes: Histotype: according to International Federation of Gynecological and Obstetrics guidelines Stage: according to International Federation of Gynecological and Obstetrics guidelines Grading: according to International Federation of Gynecological and Obstetrics guidelines Debulking: NED: not evident disease; mRD: minimal residual disease; GRD: gross residual disease Therapy code: P: Platinum without taxanes; PT: Platinum/paclitaxel End Point: Early: relapse whithin 12 and 6 months from the end of therapy for optimally (NED+ mRD) and sub-optimally (GRD) debulked patients respectively. Late: median time to relapse 48 and 34 months from the end of therapy for optimally and sub-optimally debulked patients respectively.
2012-03-09 | E-GEOD-25203 | biostudies-arrayexpress
Project description:A set of 45 surgical specimens has been profiled for miRNA expression to validate miRNA alterations associated to early relapse in advanced stage ovarian cancer patients.
2015-04-30 | GSE67819 | GEO
Project description:A set of 45 surgical specimens has been profiled for miRNA expression to validate miRNA alterations associated to early relapse in advanced stage ovarian cancer patients. Fresh frozen samples were collected from a series of consecutive patients with high-grade advanced stage ovarian cancer who underwent primary surgery at INT-Milan. After surgery all patients received postoperative platinum-based chemotherapy. All patients signed an Institutional Review Board approved consent for bio-banking, clinical data collection and molecular analysis. Clinical codes: Histotype: according to WHO classification guidelines Stage: according to International Federation of Gynecological and Obstetrics (FIGO) guidelines Grading: according to WHO classification guidelines Debulking: NED: not evident disease; mRD: minimal residual disease; GRD: gross residual disease Therapy code: P: Platinum without taxanes; PT: Platinum/paclitaxel
2015-04-30 | E-GEOD-67819 | biostudies-arrayexpress
Project description:Objectives: MicroRNAs (miRNAs) are a class of small non-coding RNAs that negatively regulate gene expression primarily through post-transcriptional modification. We tested the hypothesis that miRNA expression is associated with overall survival in advanced ovarian cancer. Methods: Cases included newly diagnosed patients with stage III or IV serous ovarian cancer. RNA from a training set of 62 cases was hybridized to an miRNA microarray containing 470 mature human transcripts. Cox regression was performed to identify miRNAs associated with overall survival. External validation was performed using quantitative RT-PCR miRNA assays in an independent test set of 123 samples. MiRNA targets and associated biologic pathways were predicted in silico. Results: Of all patients, 80% had high-grade, stage IIIC tumors and 64% underwent optimal cytoreduction. The median survival for the entire cohort was 49 ± 4 months. The training set identified 3 miRNAs associated with survival - miR-337, miR-410, and miR-645. An miRNA signature containing miR-410 and miR-645 was most strongly associated with overall survival in the training set (HR=2.96, 95% CI: 1.51-5.78). This miRNA survival signature (MiSS) was validated in the test set (HR=1.71, 95% CI: 1.05-2.78). The MiSS was independent of FIGO stage and surgical debulking. Conclusions: The data suggest that an MiSS that contains miR-410 and miR-645 is negatively associated with overall survival in advanced serous ovarian cancer. This signature, when further validated, may be useful in individualizing care for the ovarian cancer patient. Pathway analyses identify biologically plausible mechanisms. Cases included newly diagnosed patients with stage III or IV serous ovarian cancer. RNA from a training set of 62 cases was hybridized to an miRNA microarray containing 470 mature human transcripts. Cox regression was performed to identify miRNAs associated with overall survival.
2011-02-15 | E-GEOD-27290 | biostudies-arrayexpress
Project description:Objectives: MicroRNAs (miRNAs) are a class of small non-coding RNAs that negatively regulate gene expression primarily through post-transcriptional modification. We tested the hypothesis that miRNA expression is associated with overall survival in advanced ovarian cancer. Methods: Cases included newly diagnosed patients with stage III or IV serous ovarian cancer. RNA from a training set of 62 cases was hybridized to an miRNA microarray containing 470 mature human transcripts. Cox regression was performed to identify miRNAs associated with overall survival. External validation was performed using quantitative RT-PCR miRNA assays in an independent test set of 123 samples. MiRNA targets and associated biologic pathways were predicted in silico. Results: Of all patients, 80% had high-grade, stage IIIC tumors and 64% underwent optimal cytoreduction. The median survival for the entire cohort was 49 ± 4 months. The training set identified 3 miRNAs associated with survival - miR-337, miR-410, and miR-645. An miRNA signature containing miR-410 and miR-645 was most strongly associated with overall survival in the training set (HR=2.96, 95% CI: 1.51-5.78). This miRNA survival signature (MiSS) was validated in the test set (HR=1.71, 95% CI: 1.05-2.78). The MiSS was independent of FIGO stage and surgical debulking. Conclusions: The data suggest that an MiSS that contains miR-410 and miR-645 is negatively associated with overall survival in advanced serous ovarian cancer. This signature, when further validated, may be useful in individualizing care for the ovarian cancer patient. Pathway analyses identify biologically plausible mechanisms.
2011-02-15 | GSE27290 | GEO
Project description: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). We performed an independent validation analysis on 40 samples and found that the biomarker panel was also significant at prediction of recurrence for all cases (p = 0.013) and for a subset of 19 Gleason score 7 cases (p = 0.010), both of which were adjusted for relevant clinical information including T-stage, PSA and Gleason score. Importantly, these biomarkers could significantly predict clinical recurrence for Gleason 7 patients. These biomarkers may increase the accuracy of prognostication following radical prostatectomy using formalin-fixed specimens. Total RNA prepared from FFPE cores from prostatectomy samples of 70 patients were used for the training phase (29 with biochemical recurrence and 41 controls). All samples were analyzed by both custom Prostate DASL of 522 genes and by Illumina miRNA microarray. Subsequently in the validation phase, samples from 40 patients were used on the same platforms (13 with biochemical recurrence and 27 controls). For the training set, 45 cases were from Sunnybrook Health Science Center (Toronto, ON), and 25 patients from Emory University. For the validation set, all samples were from Emory University. Relevant clinical metadata included are PSA, T-stage, and Gleason Score.
2011-06-01 | E-GEOD-26245 | biostudies-arrayexpress
Project description:A benchmark set of bottom-up proteomics data for training deep learning networks. It has data from 51 organisms and includes nearly 1 million peptides.
2018-06-13 | PXD010000 | Pride
Project description:Urine miRNA transcriptome of prostate cancer patients [Training cohort]
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