Dataset Information

Blood mRNA expression signatures derived from unsupervised analyses identify prostate cancers with poor outcome

ABSTRACT: Background: Inter-patient prostate cancer (PrCa) heterogeneity results in highly variable patient outcomes. Multi-purpose biomarkers to dissect this heterogeneity are urgently required to improve treatment and accelerate drug development in PrCa. Circulating biomarkers are most practical for evaluating this disease. We pursued the analytical validation and clinical qualification of blood mRNA expression arrays. Methods: Whole blood samples were collected into PaxGeneTM tubes from PrCa patients: 31 good prognosis patients selected for active surveillance (AS) and 63 advanced castration resistant PrCa (CRPC) patients. RNA was extracted, amplified, biotinylated, and hybridised to Affymetrix U133plus2 microarrays and analysis of genome-wide expression profiles were analysed using Bayesian Latent Process Decomposition (LPD). Findings: LPD analysis of the mRNA expression data divided the evaluable patients (n=94) into 4 separate groups. LPD1 and LPD2 consisted almost entirely of CRPC patients (14/14; 17/18); LPD3 (15/31) and LDP4 (12/21) comprised both AS and CRPC. Ten patients were unclassifiable by LPD analysis. LPD1 CRPC patients had significantly poorer overall survival (median 10.7 months, CI-95% 4.2-17.2) than CRPC patients in LPD2 to 4 (median 26.5 months, CI-95% 18.1-34.9, p=0.00007). LPD 1 membership remained the strongest prognostic factor in a multivariate analysis (HR 5.0, CI-95% 2.1-11.9, p=0.0002). Gene signatures in the poor prognosis LPD group 1 were associated with increased CD71+ early erythroid cells and decreased B-cell and T-cell immune response. A 9-gene signature, that was validated by RT-PCR studies, classified patients as group LPD 1 with a very low misclassification rate (1.2%). Interpretation: Poor PrCa outcome can be predicted using gene expression signatures from whole blood and merits further evaluation in predictive and pharmacodynamic biomarker studies for novel anticancer drugs including immune therapies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE37199 | GEO | 2012/10/15

SECONDARY ACCESSION(S): PRJNA158559

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Inter-patient prostate cancer (PrCa) heterogeneity results in highly variable patient outcomes. Multi-purpose biomarkers to dissect this heterogeneity are urgently required to improve treatment and accelerate drug development in PrCa. Circulating biomarkers are most practical for evaluating this disease. We pursued the analytical validation and clinical qualification of blood mRNA expression arrays. Methods: Whole blood samples were collected into PaxGeneTM tubes from PrCa patients: 31 good prognosis patients selected for active surveillance (AS) and 63 advanced castration resistant PrCa (CRPC) patients. RNA was extracted, amplified, biotinylated, and hybridised to Affymetrix U133plus2 microarrays and analysis of genome-wide expression profiles were analysed using Bayesian Latent Process Decomposition (LPD). Findings: LPD analysis of the mRNA expression data divided the evaluable patients (n=94) into 4 separate groups. LPD1 and LPD2 consisted almost entirely of CRPC patients (14/14; 17/18); LPD3 (15/31) and LDP4 (12/21) comprised both AS and CRPC. Ten patients were unclassifiable by LPD analysis. LPD1 CRPC patients had significantly poorer overall survival (median 10.7 months, CI-95% 4.2-17.2) than CRPC patients in LPD2 to 4 (median 26.5 months, CI-95% 18.1-34.9, p=0.00007). LPD 1 membership remained the strongest prognostic factor in a multivariate analysis (HR 5.0, CI-95% 2.1-11.9, p=0.0002). Gene signatures in the poor prognosis LPD group 1 were associated with increased CD71+ early erythroid cells and decreased B-cell and T-cell immune response. A 9-gene signature, that was validated by RT-PCR studies, classified patients as group LPD 1 with a very low misclassification rate (1.2%). Interpretation: Poor PrCa outcome can be predicted using gene expression signatures from whole blood and merits further evaluation in predictive and pharmacodynamic biomarker studies for novel anticancer drugs including immune therapies. 107 blood samples were collected in paxgene tubes from 94 prostate cancer patients (31 good prognosis & 63 advanced castration resistant PrCa). Replicates include 9 biological replicates and four technical replicates

Project description:Importance: Autophagy has been identified as a resistance mechanism to BRAF and MEK inhibition in BRAF mutant melanoma. In the BAMM trial, hydroxychloroquine (HCQ) was used to inhibit autophagy in combination with dabrafenib and trametenib in BRAF mutant melanoma patients. Objective: To a) determine safety and maximal tolerated dose (MTD) of hydroxychloroquine when combined with dabrafenib and trametinib and b) determine antitumor activity of the combination. Design: Open label non-randomized phase I/II clinical trial Setting: Prospective therapeutic clinical trial conducted in 4 centers Participants: Unresectable Stage III or Stage IV BRAF mutant melanoma patients Intrevention: HCQ twice daily, dabrafenib 150 mg twice daily and trametinib 2 mg daily (D+T) Main Outcome: Primary outcomes were safety and 1-year progression-free survival (PFS) rate Results: Between December 2014 and January 2020, 50 patients were screened, 38 patients were enrolled and evaluable for toxicity and 34 patients were evaluable for 1-year PFS rate. Patient demographics were: 29% were ECOG PS 1, 47% had elevated LDH, 52% were Stage IV M1c or M1d and 53% had previously received therapy for advanced melanoma. In the phase I trial there was no dose limiting toxicity of HCQ at either 400 (n=3) or 600 (MTD) mg po bid combined with D+T. For the entire study population, the 1-year PFS rate was 41% (95% CI = ), median PFS was 11.9 months (95% CI = ), overall response rate (ORR) was 85% (95% exact CI=64-95%)and complete response rate of 41% (95% exact CI=25-59%). In a prespecificed subgroup analysis in 18 patients with elevated LDH, the ORR was 88% and median PFS was 8 months Conlusion and Relevance: The combination of HCQ, dabrafenib and trametinib was well tolerated and produced a high response rate but did not meet the prespecified criteria for success with respect to the 1-year PFS rate. In patients with elevated LDH , the response rate and PFS were encouraging. A randomized placebo controlled trial of dabrafenib and trametinib with/without HCQ in advanced BRAF mutant melanoma patients with elevated LDH and previously treated with immunotherapy is being conducted through the National Clinical Trial Network.

Dataset Information

Blood mRNA expression signatures derived from unsupervised analyses identify prostate cancers with poor outcome

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets