This dataset contains summary data visualizations and clinical data from a broad sampling of 255 sarcomas from 255 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 about mutated genes,...

TCGA Sarcoma. Source data from GDAC Firehose. Previously known as TCGA Provisional. This dataset contains summary data visualizations and clinical data from a broad sampling of 200 carcinomas from 200 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 about mutated...

Summary from GEO: "The mechanisms underlying oncogenesis in desmoid-type fibromatosis are poorly understood. This project sought to understand how β-catenin may function to promote desmoid formation and how external signaling by PDGFRβ modulates this activity. To examine this question, RNA-seq was performed on CTNNB1 knock-downs. Gene set enrichment analysis suggested that the oncogene controlled...

Summary from GEO: "The mechanisms underlying oncogenesis in desmoid-type fibromatosis are poorly understood. This project sought to understand how β-catenin may function to promote desmoid formation and how external signaling by PDGFRβ modulates this activity. To examine this question, RNA-seq was performed on CTNNB1 knock-downs. Gene set enrichment analysis suggested that the oncogene controlled...

Summary from GEO: "Unsupervised clustering of desmoid tumors and normal mesenchymal tissues was performed using henes associated with HIF1 activity. This accurately distiguished neoplastic tissues from normal controls. The study sought to identify genes differentially expressed in desmoid-type fibromatosis as opposed to normal mesenchymal tissues. We noted that beta-catenin, the central driver in...