Similar Datasets
Project description:BackgroundWe aimed to develop a gene expression-based prognostic signature for isocitrate dehydrogenase (IDH) wild-type glioblastoma using clinical trial datasets representative of glioblastoma clinical trial populations.MethodsSamples were collected from newly diagnosed patients with IDH wild-type glioblastoma in the ARTE, TAMIGA, EORTC 26101 (referred to as "ATE"), AVAglio, and GLARIUS trials, or treated at UCLA. Transcriptional profiling was achieved with the NanoString gene expression platform. To identify genes prognostic for overall survival (OS), we built an elastic net penalized Cox proportional hazards regression model using the discovery ATE dataset. For validation in independent datasets (AVAglio, GLARIUS, UCLA), we combined elastic net-selected genes into a robust z-score signature (ATE score) to overcome gene expression platform differences between discovery and validation cohorts.ResultsNanoString data were available from 512 patients in the ATE dataset. Elastic net identified a prognostic signature of 9 genes (CHEK1, GPR17, IGF2BP3, MGMT, MTHFD1L, PTRH2, SOX11, S100A9, and TFRC). Translating weighted elastic net scores to the ATE score conserved the prognostic value of the genes. The ATE score was prognostic for OS in the ATE dataset (P < 0.0001), as expected, and in the validation cohorts (AVAglio, P < 0.0001; GLARIUS, P = 0.02; UCLA, P = 0.004). The ATE score remained prognostic following adjustment for O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status and corticosteroid use at baseline. A positive correlation between ATE score and proneural/proliferative subtypes was observed in patients with MGMT non-methylated promoter status.ConclusionsThe ATE score showed prognostic value and may enable clinical trial stratification for IDH wild-type glioblastoma.
| S-EPMC7746941 | biostudies-literature
Project description:Background. We aimed to develop a gene expression-based prognostic signature for isocitrate dehydrogenase (IDH) wild-type glioblastoma using clinical trial datasets representative of glioblastoma clinical trial populations. Results. NanoString data were available from 512 patients in the discovery ATE dataset. Elastic net identified a prognostic signature of nine genes (CHEK1, GPR17, IGF2BP3, MGMT, MTHFD1L, PTRH2, SOX11, S100A9, and TFRC). Translating weighted elastic net scores to an average z-score signature conserved the prognostic value of the ATE signature. The z-score signature was prognostic for OS in the ATE dataset (P < 0.0001), as expected, and in the validation cohorts (AVAglio, P < 0.0001; GLARIUS, P = 0.021; UCLA, P = 0.0037). The signature remained prognostic following adjustment for MGMT promoter methylation status or corticosteroid use at baseline. A positive correlation between the signature and proneural/proliferative subtypes was observed in patients with MGMT non-methylated promoter status. Conclusions. The ATE signature showed prognostic value and may enable clinical trial stratification for IDH wild-type glioblastoma.
2020-06-01 | GSE150604 | GEO
Project description:Background. We aimed to develop a gene expression-based prognostic signature for isocitrate dehydrogenase (IDH) wild-type glioblastoma using clinical trial datasets representative of glioblastoma clinical trial populations. Results. NanoString data were available from 512 patients in the discovery ATE dataset. Elastic net identified a prognostic signature of nine genes (CHEK1, GPR17, IGF2BP3, MGMT, MTHFD1L, PTRH2, SOX11, S100A9, and TFRC). Translating weighted elastic net scores to an average z-score signature conserved the prognostic value of the ATE signature. The z-score signature was prognostic for OS in the ATE dataset (P < 0.0001), as expected, and in the validation cohorts (AVAglio, P < 0.0001; GLARIUS, P = 0.021; UCLA, P = 0.0037). The signature remained prognostic following adjustment for MGMT promoter methylation status or corticosteroid use at baseline. A positive correlation between the signature and proneural/proliferative subtypes was observed in patients with MGMT non-methylated promoter status. Conclusions. The ATE signature showed prognostic value and may enable clinical trial stratification for IDH wild-type glioblastoma.
2020-06-01 | GSE149921 | GEO
Project description:Background. We aimed to develop a gene expression-based prognostic signature for isocitrate dehydrogenase (IDH) wild-type glioblastoma using clinical trial datasets representative of glioblastoma clinical trial populations. Results. NanoString data were available from 512 patients in the discovery ATE dataset. Elastic net identified a prognostic signature of nine genes (CHEK1, GPR17, IGF2BP3, MGMT, MTHFD1L, PTRH2, SOX11, S100A9, and TFRC). Translating weighted elastic net scores to an average z-score signature conserved the prognostic value of the ATE signature. The z-score signature was prognostic for OS in the ATE dataset (P < 0.0001), as expected, and in the validation cohorts (AVAglio, P < 0.0001; GLARIUS, P = 0.021; UCLA, P = 0.0037). The signature remained prognostic following adjustment for MGMT promoter methylation status or corticosteroid use at baseline. A positive correlation between the signature and proneural/proliferative subtypes was observed in patients with MGMT non-methylated promoter status. Conclusions. The ATE signature showed prognostic value and may enable clinical trial stratification for IDH wild-type glioblastoma.
2020-06-01 | GSE150614 | GEO
Project description:Background. We aimed to develop a gene expression-based prognostic signature for isocitrate dehydrogenase (IDH) wild-type glioblastoma using clinical trial datasets representative of glioblastoma clinical trial populations. Results. NanoString data were available from 512 patients in the discovery ATE dataset. Elastic net identified a prognostic signature of nine genes (CHEK1, GPR17, IGF2BP3, MGMT, MTHFD1L, PTRH2, SOX11, S100A9, and TFRC). Translating weighted elastic net scores to an average z-score signature conserved the prognostic value of the ATE signature. The z-score signature was prognostic for OS in the ATE dataset (P < 0.0001), as expected, and in the validation cohorts (AVAglio, P < 0.0001; GLARIUS, P = 0.021; UCLA, P = 0.0037). The signature remained prognostic following adjustment for MGMT promoter methylation status or corticosteroid use at baseline. A positive correlation between the signature and proneural/proliferative subtypes was observed in patients with MGMT non-methylated promoter status. Conclusions. The ATE signature showed prognostic value and may enable clinical trial stratification for IDH wild-type glioblastoma.
2020-06-01 | GSE150612 | GEO
Project description:Development of a gene expression-based prognostic signature for IDH wild-type glioblastoma
| PRJNA632912 | ENA
Project description:Purpose11C-Methionine (11C-MET) PET prognostication of isocitrate dehydrogenase (IDH) wild type glioblastomas is inadequate as conventional parameters such as standardized uptake value (SUV) do not adequately reflect tumor heterogeneity. We retrospectively evaluated whether volume-based parameters such as metabolic tumor volume (MTV) and total lesion methionine metabolism (TLMM) outperformed SUV for survival correlation in patients with IDH wild type glioblastomas.MethodsThirteen IDH wild type glioblastoma patients underwent preoperative 11C-MET PET. Both SUV-based parameters and volume-based parameters were calculated for each lesion. Kaplan-Meier curves with log-rank testing and Cox regression analysis were used for correlation between PET parameters and overall survival.ResultsMedian overall survival for the entire cohort was 393 days. MTV (HR 1.136, p = 0.007) and TLMM (HR 1.022, p = 0.030) were inversely correlated with overall survival. SUV-based 11C-MET PET parameters did not show a correlation with survival. In a paired analysis with other clinical parameters including age and radiotherapy dose, MTV and TLMM were found to be independent factors.ConclusionsMTV and TLMM, and not SUV, significantly correlate with overall survival in patients with IDH wild type glioblastomas. The incorporation of volume-based 11C-MET PET parameters may lead to a better outcome prediction for this heterogeneous patient population.
| S-EPMC8880430 | biostudies-literature
Project description:Development of a gene expression-based prognostic signature for IDH wild-type glioblastoma [ATE]
| PRJNA630493 | ENA
Project description:Development of a gene expression-based prognostic signature for IDH wild-type glioblastoma [UCLA]
| PRJNA632915 | ENA
Project description:Development of a gene expression-based prognostic signature for IDH wild-type glioblastoma [GLARIUS]
| PRJNA632910 | ENA