This dataset contains summary data visualizations and clinical data from a broad sampling of 504 prostate tumor samples from 451 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 age, Clinical Gleason, Clinical...

This dataset contains the summary data visualizations and clinical data of IMPACT sequencing of 229 cell-free DNA (cfDNA) and associated tumor samples with matched normal from 118 patients. Clinical data includes: Cancer Type, Number of Samples Per Patient, Mutation Count, Fraction Genome Altered, Sex, Primary/Metastasis Sample Type, Collaboration Id, Gene Panel, Oncotree Code, Tumor/cfDNA Sample...

Summary from the GEO: "We report the generation and characterization of tumor organoids and PDOX derived from needle biopsies of metastatic lesions from neuroendocrine prostate cancer patients." Overall design from the GEO: "Understanding the expression profile of neuroendocrine prostate cancer tumor organoids and PDOXs."

Expression profiling by high throughput sequencing Methylation profiling by high throughput sequencing Summary: This SuperSeries is composed of the following SubSeries: GSE112786: "Molecular characterization of neuroendocrine prostate cancer organoids and PDOX by RNA-seq GSE112829: Methylation profile of neuroendocrine prostate cancer models. Both of the SubSeries concerns information neuroendocrine...

This dataset contains the summary data visualizations and clinical data from whole exome sequencing of 114 metastatic tumor/normal pairs from 81 patients. Clinical data includes: Cancer Type, Number of Samples Per Patient, Mutation Count, Fraction Genome Altered, CLONET Purity, Control Site, Disease code, Genomic Burden, Oncotree Code, Other Sample ID, Pathology Classification, Ploidy, Tumor Disease...

Summary from the GEO: "Our study represents a detailed molecular analysis of neuroenedocrine prostate cancer models" Overall design from the GEO: "Understanding the global methylation profile of tumor organoids and PDOXs." Abstract from the article on Synapse to further explain the study and the relating dataset: "A major hurdle in the study of rare tumors is a lack of existing preclinical models....

Summary from dbGap: "A subset of advanced prostate cancers can progress from an androgen receptor (AR)-driven state to AR independence, often associated with low or absent AR expression and extensive neuroendocrine differentiation. Once neuroendocrine prostate cancer (NEPC) develops, patients typically demonstrate an aggressive clinical course and poor overall survival. Early diagnosis is important...

Summary from GEO: "The inherent plasticity of tumor cells provides a mechanism of resistance to many molecularly targeted therapies, exemplified by adeno-to-neuroendocrine lineage transitions seen in prostate and lung cancer. Here we investigate the root cause of this lineage plasticity in a primary murine prostate organoid model that mirrors the lineage transition seen in patients. These cells lose...