This dataset contains summary data visualizations and clinical data from a broad sampling of 514 brain lower grade gliomas from 514 patients. The data was gathered as part of the PanCancer Atlas initiative, which aims to answer big, overarching questions about cancer by examining the full set of tumors characterized in the robust TCGA dataset. The clinical data includes mutation count, information...

This dataset contains summary data visualizations and clinical data from 1,004 samples of glioma tumors from 924 patients. The data was gathered utilizing the MSK-IMPACT targeted sequencing test. The clinical data includes tumor type (based on the opensource OncoTree ontology developed at MSK), mutation count, information about mutated genes, patient demographics, disease status, and sample details....

This dataset contains summary data visualizations and clinical data from a broad sampling of 1,661 samples of across multiple cancer types showing tumor mutational load and survival following immunotherapy from 1,661 patients. The data was gathered utilizing the MSK-IMPACT targeted sequencing test. The clinical data includes tumor type (based on the opensource OncoTree ontology developed at MSK),...

TCGA Brain Lower Grade Glioma. Source data from GDAC Firehose. Previously known as TCGA Provisional. This dataset contains summary data visualizations and clinical data from a broad sampling of 530 carcinomas from 516 patients. The data was gathered as part of the Broad Institute of MIT and Harvard Firehose initiative, a cancer analysis pipeline. The clinical data includes mutation count, information...

This dataset contains the summary data visualizations and clinical data from the targed sequencing of 91 CSF samples from 42 glioma patients. Clinical data includes: Cancer Type, Number of Samples Per Patient, Mutation Count, Fraction Genome Altered Sample Type, Sex, Oncotree Code, Sample Collection Method, Somatic Status, Specimen Preservation Type. The plaintext components of the dataset can be...

Study Description from dbGaP: "The main goals of the GICC Study were: 1) to identify novel genetic risk variants for glioma, as well as validate variants implicated by previous genome-wide association studies of glioma; and 2) to explore biologically relevant gene-gene and gene-environment interactions in glioma susceptibility." Study Inclusion Criteria: "Diagnosis of histologically confirmed, supratentorial,...