Data files

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data of MInT

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

MInT study result data as CIDISC ODM

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

MInT trial data as SPSS file

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

This file contains the metadata of the MInT study formatted as CDISC ODM.

Based on the assumption that molecular mechanisms involved in cancerogenesis are characterized by groups of coordinately expressed genes, we developed and validated a novel method for analyzing transcriptional data called Correlated Gene Set Analysis (CGSA). Using 50 extracted gene sets we identified three different profiles of tumors in a cohort of 364 Diffuse large B-cell (DLBCL) and related mature aggressive B-cell lymphomas other than Burkitt lymphoma. The first profile had high level of ...

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as Microsoft Excel file

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as CDISC ODM file

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as SPSS file

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as Microsoft Excel file

Demographics, reference pathology diagnosis, Outcome (Event-free survival, Progression-free survival, Overall survival)

Trial data as CDISC ODM file

#UPDATE

This archive has been replaced by the GitLab docker registry. Follow the Link under Data Portal (https://gitlab.com/imise-genstat/metabolite-investigator-archive/container_registry/1612096) to find all previous versions of the app (starting from 0.1.6). The images can be downloaded and run using a working docker environment using the following commands:

Using the initial release version 0.1.6 as an example

docker pull registry.gitlab.com/imise-genstat/metabolite-investigator-archive:0.1.6 ...

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.