Study
The genomic and radiomic complexity of multifocal prostate cancer
Study ID | Alternative Stable ID | Type |
---|---|---|
EGAS00001002767 | Other |
Study Description
Multiparametric magnetic resonance imaging (mpMRI) and molecular prognostic tests are emerging to guide screening and prostate cancer (PCa) diagnosis, however their efficacy and cross validation requires further assessment in the context of intraprostatic heterogeneity and patient prognosis. To evaluate the molecular features that make prostate tumors visible to mpMRI, we established an mpMRI-blind multicore collection and performed low pass whole genome, exome, transcriptome and methylation profiling of 14 lesions and 23 representative cores from 6 PCa patients. Our results show that diagnosis based on mpMRI does not capture the genomic complexity of tumors, and reveal that commercial prognostic signature results based on single-biopsy assessments are insufficient to define risk of progression. Altogether, our study supports the use of a multi-biopsy assessment in both mpMRI visible and non-visible areas in order to provide a truly personalised diagnosis
Study Datasets 3 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 |
---|---|---|---|
EGAD00001004466 |
Low pass WGS: 48 samples (5 blood samples from 6 patient data): 22 Tumour cores and 26 normal/benign cores (Next Seq )
|
NextSeq 500 | 48 |
EGAD00001004467 |
WES: 48 samples (5 blood samples from 6 patient data): 22 Tumour cores and 26 normal/benign cores (HiSeq)
|
Illumina HiSeq 2500 | 48 |
EGAD00001004468 |
Total RNA Seq: 15 Samples (2 patients (MF1 and MF3)) (HiSeq) and Poly A RNA Seq: 27 Samples (4 patients Normal and Tumour ) (HiSeq)
|
Illumina HiSeq 2500 | 42 |
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