The Clinical Proteomic Tumor Analysis Consortium (CPTAC) analyzes cancer biospecimens by mass spectrometry, characterizing and quantifying their constituent proteins, or proteome. Proteomic analysis for each CPTAC study is carried out independently by Proteomic Characterization Centers (PCCs) using a variety of protein fractionation techniques, instrumentation, and workflows. Mass spectrometry and...

This dataset contains summary data visualizations and clinical data from a broad sampling of 592 glioblastoma multiformes from 585 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),...

This dataset contains summary data visualizations and clinical data from a broad sampling of tropomyosin receptor kinase (TRK) fusion tumors. 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), information about mutated genes, patient demographics, and modality. The data set also...

TCGA Glioblastoma Multiforme. Source data from GDAC Firehose. Previously known as TCGA Provisional. This dataset contains summary data visualizations and clinical data from a broad sampling of 619 glioblastoma multiformes from 606 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,...

Summary from the GEO: Radial Glia (RG) cells are the first neural stem cells to appear during embryonic development. Human embryonic RG cells demonstrates a specific set of gene expression compared to other type of progenitor cells. The goal of this study is to characterize the potential origine of tumor initiating cells of human glioblastoma multiforms by single cell RNASeq analyses of freshly sorted...

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...

Summary from the GEO: "Immune checkpoint blockers (ICBs) have failed in all phase III glioblastoma (GBM) trials. Here, we show that regulatory T (Treg) cells play a key role in GBM resistance to ICBs in experimental gliomas. Targeting glucocorticoid-induced TNFR-related receptor (GITR) in Treg cells using an agonistic antibody (αGITR) promotes CD4 Treg cell differentiation into CD4 effector T cells,...

Summary from GEO: "Glioblastoma multiforme (GBM) is the most aggressive form of glioma, and is notorious for its terminal prognosis and lack of responsiveness to current treatment approaches. The brain tumor microenvironment (TME) represents a largely untapped reservoir of therapeutic target options in GBM. Here we have focused on the interplay between glioma cells and tumor-associated macrophages/...