Study

PREDICT Whole Genomes

Study ID Alternative Stable ID Type
EGAS00001000934 Cancer Genomics

Study Description

PREDICT/Predicting individual response and resistance to VEGFR/mTOR pathway therapeutic intervention using biomarkers discovered through tumour functional genomics.

Study Datasets 2 datasets.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001003445
Clear cell renal cancer is characterized by near-universal loss of the short arm of chromosome 3 (3p). This event arises through unknown mechanisms, but critically results in the loss of several tumor suppressor genes. We analyzed whole genomes from 95 biopsies across 33 patients with clear cell renal cancer (ccRCC) recruited into the Renal TRACERx study. We find novel hotspots of point mutations in the 5'-UTR of TERT, targeting a MYC-MAX repressor, that result in telomere lengthening. The most ... (Show More)
HiSeq X Ten 164
EGAD00001004774
We investigated the somatic genetic basis of Wilms’ tumour and found complex phylogenetic relations between tumours.
HiSeq X Ten 203

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