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Prognostic markers of DNA methylation and NGS sequencing in progressive glioblastoma from the EORTC-26101 trial

ABSTRACT: These dataset contains NGS data from 380 samples from the EORTC-26101 clinical trial for patients with progressive glioblastoma.

PROVIDER: EGAS00001007421 | EGA |

REPOSITORIES: EGA

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Prognostic marker of DNA methylation and NGS sequencing in progressive glioblastoma from the EORTC-26101 trial

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Prognostic marker of DNA methylation and NGS sequencing in progressive glioblastoma from the EORTC-26101 trial

Project description:Prognostic marker of DNA methylation and NGS sequencing in progressive glioblastoma from the EORTC-26101 trial

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Methylome analyses of three glioblastoma cohorts reveal chemotherapy sensitivity markers within DDR genes [EORTC 26101 cohort]

Project description:The data contains Illumina 450k/EPIC array methylation files from 298 glioblastoma patients from the EORTC 26101 study

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EORTC 10994 clinical trial

Project description:EORTC 10994 is a phase III clinical trial comparing FEC with ET in patients with large operable, locally advanced or inflammatory breast cancer (www.eortc.be). Frozen biopsies were taken at randomisation. RNA was extracted from 100um thickness of 14G core needle biopsies. Adjacent sections were tested by H&E to confirm >20% tumour cell content. 100 ng total RNA per chip were amplified using the Affymetrix small sample protocol (IVT then Enzo). 49 tumours were tested on Affymetrix U133A chips. The CEL files were quantile normalised together using rma. Clinical response data are not available yet. Keywords = Apocrine carcinoma Keywords = breast cancer

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Temporal muscle thickness is an independent prognostic marker in patients with progressive glioblastoma: translational imaging analysis of the EORTC 26101 trial.

Project description:BackgroundTemporal muscle thickness (TMT) was described as a surrogate marker of skeletal muscle mass. This study aimed to evaluate the prognostic relevance of TMT in patients with progressive glioblastoma.MethodsTMT was analyzed on cranial MR images of 596 patients with progression of glioblastoma after radiochemotherapy enrolled in the European Organisation for Research and Treatment of Cancer 26101 trial. An optimal TMT cutoff for overall survival (OS) and progression-free survival (PFS) was defined in the training cohort (n = 260, phase II). Patients were grouped as "below" or "above" the TMT cutoff and associations with OS and PFS were tested using the Cox model adjusted for important risk factors. Findings were validated in a test cohort (n = 308, phase III).ResultsAn optimal baseline TMT cutoff of 7.2 mm was obtained in the training cohort for both OS and PFS (area under the curve = 0.64). Univariate analyses estimated a hazard ratio (HR) of 0.54 (95% CI: 0.42, 0.70; P < 0.0001) for OS and an HR of 0.49 (95% CI: 0.38, 0.64; P < 0.0001) for PFS for the comparison of training cohort patients above versus below the TMT cutoff. Similar results were obtained in Cox models adjusted for important risk factors with relevance in the trial for OS (HR, 0.54; 95% CI: 0.41, 0.70; P < 0.0001) and PFS (HR, 0.47; 95% CI: 0.36, 0.61; P < 0.0001). Results were confirmed in the validation cohort.ConclusionReduced TMT is an independent negative prognostic parameter in patients with progressive glioblastoma and may help to facilitate patient management by supporting patient stratification for therapeutic interventions or clinical trials.

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Activity of afatinib in a window pre-operative EORTC study in patients with squamous cell carcinoma of the head and neck (HNSCC)

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