CRUK-ICGC Prostate Cancer Group Study

Prostate cancer somatic genomic sequencing data generated from 2011 onwards under auspices of the International Cancer Genome Consortium Prostate Cancer UK consortium (CRUK-ICGC Prostate Group), co-led by Colin Cooper and Ros Eeles, with other Principal Investigators (Brewer, Neal, Bova, McDermott, Wedge, Lynch, Massie, and Foster) and others as listed in study publications. Funded by Cancer Research UK and other funders as listed in study publications. Contents and publications related to each dataset are described with each dataset (EGAD) entry. Our study was funded with the ambition of collecting Whole Genome DNA sequence data from 250 prostate cancers, with matching transcriptome and methylome data. The original aims of the project were: 1.To understand the significance of multifocal prostate cancer. 2.To understand the clinical heterogeneity of prostate cancer to devise markers for predicting outcome and for drug targeting. 3.To understand the molecular basis of development and spread of castration-resistant and metastatic disease 4.To understand the aetiology of prostate cancer particularly the large variation in incidences that occur in different populations and ethnic groups. Please see https://doi.org/10.5281/zenodo.4022439 for links between sample IDs reported in literature and EGA IDs.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

10 Datasets 13 Publications

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
EGAD00001000263	A small subsample of EGAD00001000689. Please do not use.	Illumina HiSeq 2000	18
EGAD00001000689	Whole genome DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of 3 men. For each of three different prostates, multiple tumour samples (4, 5, and 3 depending on the case) and one normal tissue sample were whole genome sequenced with a matched blood sample using the Illumiuna HiSeq platform. Tumour samples were sequenced to a target depth of 50X and normals and blood to a target depth of 30X. As of September 2020, some of the studies using these data include: Cooper et al, Nature Genetics 2015 (PMID: 25730763) Wedge et al, Nature Genetics 2018 (PMID: 29662167) Pan-Cancer Analysis of Whole Genomes, Nature 2020 (PMID: 32025007)	Illumina HiSeq 2000	-
EGAD00001000891	To characterize the subclonal genomic architecture of androgen-deprived metastatic prostate cancer, we performed whole-genome sequencing (WGS) of 51 tumours from 10 patients to an average sequencing depth of 55x, including multiple metastases from different anatomic sites in each patient and, in five cases, the prostate tumour. Noncancerous DNA from blood or other tissue is used as reference comparison for each patient. The patients are part of PELICAN (Project to ELIminate Lethal Cancer) rapid autopsy study led by G. Steven Bova at Johns Hopkins University (USA) and Tampere University (Finland). As of September 2020, some of the studies using these data include: Gundem et al, Nature 2015 (PMID: 25830880). Additional EGAD00001000891 sample metadata is contained in Supplementary Information in this report.Tubio et al, Science 2014 (PMID: 25082706) Behjati et al, Nature Comm 2015 (PMID: 27615322) Wedge et al, Nature Genetics 2018 (PMID: 29662167)Pan-Cancer Analysis of Whole Genomes, Nature 2020 (PMID: 32025007)Rodriguez-Martin et al, Nature Genetics 2020 (PMID: 32024998)Woodcock et al, Nature Comm 2020 (In Press)	Illumina HiSeq 2000	62
EGAD00001000892	Whole Genome Sequencing Illumina HiSeq data from 20 men with prostate cancer. 20 samples were taken from primary tissue obtained at prostatectomy (target sequencing depth 50X) with matched blood control (target sequencing depth 30X). These were submitted for use in the ICGC Pan-Cancer Analysis of Whole Genomes project. Same raw data submitted in EGAD00001001116. As of September 2020, some of the studies using these data include: Wedge et al, Nature Genetics 2018 (PMID: 29662167) Pan-Cancer Analysis of Whole Genomes, Nature 2020 (PMID: 32025007)	Illumina HiSeq 2000	40
EGAD00001001116	Whole Genome Sequencing Illumina HiSeq data from 95 men with prostate cancer. Samples were taken from primary tissue obtained at prostatectomy (target sequencing depth 50X) with matched blood control (target sequencing depth 30X). This data is from batches 1 to 3 and is the bulk of the data used in Wedge et al, Nature Genetics 2018 (PMID: 29662167). As of September 2020, some of the studies using these data include: Wedge et al, Nature Genetics 2018 (PMID: 29662167) Pan-Cancer Analysis of Whole Genomes, Nature 2020 (PMID: 32025007)	Illumina HiSeq 2000	150
EGAD00001002002	To characterize the subclonal genomic architecture of non-androgen-deprived metastatic prostate cancer, we performed whole-genome sequencing (WGS) of pelvic lymph node metastases and matching noncancerous blood from 10 patients to an average sequencing depth of 55x. The patients are part of PELICAN (Project to ELIminate Lethal Cancer) study led by G. Steven Bova at Johns Hopkins University (USA) and Tampere University (Finland). As of September 2020, study using these data is: Wedge et al, Nature Genetics 2018 (PMID: 29662167)	Illumina HiSeq 2000	20
EGAD00001003225	Whole Genome Sequencing Illumina HiSeq data from 111 men with prostate cancer. Samples were taken from primary tissue obtained at prostatectomy (target sequencing depth 50X) with matched blood control (target sequencing depth 30X). This data is from batches 4 to 6.	Illumina HiSeq 2000	221
EGAD00001004125	Data collected as part of the Normal prostatectomy project analysis. Whole genome sequencing (WGS, targeted at 30X for normal tissue and 50X for tumour tissue) was performed on morphologically normal tissue samples from 30 patients with prostate cancer. In addition, seven prostate tissue samples were sequenced from 7 non-cancer patients: two collected after a cystoprostatectomy and five from samples collected at autopsy. Matched blood controls were included for all patients. An extra five samples were sequenced from the stroma of cell cultured fibroblasts. In addition a few tumour samples obtained at prostatectomy and their blood matched controls are included in this dataset from the main study that are not included elsewhere.	Illumina HiSeq 2000	71
EGAD00001010184	This dataset includes Illumina EPIC Capture Sequencing Data of 376 samples from 188 men with prostate cancer. Samples were taken from primary tissue obtained at prostatectomy, with matched pathologically assessed non-cancer control material. This DNA methylation data includes donors and samples included in previously published WGS datasets (from CRUK-ICGC batches 1 to 3 [EGAD00001001116] and batches 4 to 6 [EGAD00001003225]; including the majority of donors used in Wedge et al, Nature Genetics 2018 [PMID: 29662167]). The targeted DNA methylation sequencing data in this EGA dataset were generated using the Illumina TruSeq methyl capture method (EPICseq), covering over 3.3 million CpGs in the human genome, representing a total targeted hybridisation capture panel of 107Mbp. According to the EPICseq protocol, DNA samples extracted from prostatectomy tissue samples were enriched for target regions using hybridisation capture, prior to bisulfite conversion, amplification and sequencing in pools of 12 samples (150 single end reads over two Illumina HiSeq4000 lanes). This approach generated DNA methylation profiles from prostate cancer and control samples at base-pair resolution across millions of CpGs in the human genome.	Illumina HiSeq 4000	376
EGAD00010000498	Affymetrix SNP6.0 genotype data for prostate cancer patients	Affymetrix_SNP6-	18

Publications	Citations
Analysis of the genetic phylogeny of multifocal prostate cancer identifies multiple independent clonal expansions in neoplastic and morphologically normal prostate tissue. Cooper CS, Eeles R, Wedge DC, Van Loo P, Gundem G, Alexandrov LB, Kremeyer B, Butler A, Lynch AG, Camacho N, Massie CE, Kay J, Luxton HJ, Edwards S, Kote-Jarai Z, Dennis N, Merson S, Leongamornlert D, Zamora J, Corbishley C, Thomas S, Nik-Zainal S, O'Meara S, Matthews L, Clark J, Hurst R, Mithen R, Bristow RG, Boutros PC, Fraser M, Cooke S, Raine K, Jones D, Menzies A, Stebbings L, Hinton J, Teague J, McLaren S, Mudie L, Hardy C, Anderson E, Joseph O, Goody V, Robinson B, Maddison M, Gamble S, Greenman C, Berney D, Hazell S, Livni N, ICGC Prostate Group, Fisher C, Ogden C, Kumar P, Thompson A, Woodhouse C, Nicol D, Mayer E, Dudderidge T, Shah NC, Gnanapragasam V, Voet T, Campbell P, Futreal A, Easton D, Warren AY, Foster CS, Stratton MR, Whitaker HC, McDermott U, Brewer DS, Neal DE. Nat Genet 47: 2015 367-372	258
Integrated clinical, whole-genome, and transcriptome analysis of multisampled lethal metastatic prostate cancer. Bova GS, Kallio HM, Annala M, Kivinummi K, Högnäs G, Häyrynen S, Rantapero T, Kivinen V, Isaacs WB, Tolonen T, Nykter M, Visakorpi T. Cold Spring Harb Mol Case Stud 2: 2016 a000752	21
Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data. Camacho N, Van Loo P, Edwards S, Kay JD, Matthews L, Haase K, Clark J, Dennis N, Thomas S, Kremeyer B, Zamora J, Butler AP, Gundem G, Merson S, Luxton H, Hawkins S, Ghori M, Marsden L, Lambert A, Karaszi K, Pelvender G, Massie CE, Kote-Jarai Z, Raine K, Jones D, Howat WJ, Hazell S, Livni N, Fisher C, Ogden C, Kumar P, Thompson A, Nicol D, Mayer E, Dudderidge T, Yu Y, Zhang H, Shah NC, Gnanapragasam VJ, CRUK-ICGC Prostate Group, Isaacs W, Visakorpi T, Hamdy F, Berney D, Verrill C, Warren AY, Wedge DC, Lynch AG, Foster CS, Lu YJ, Bova GS, Whitaker HC, McDermott U, Neal DE, Eeles R, Eeles R, Cooper CS, Brewer DS. PLoS Genet 13: 2017 e1007001	27
Sequencing of prostate cancers identifies new cancer genes, routes of progression and drug targets. Wedge DC, Gundem G, Mitchell T, Woodcock DJ, Martincorena I, Ghori M, Zamora J, Butler A, Whitaker H, Kote-Jarai Z, Alexandrov LB, Van Loo P, Massie CE, Dentro S, Warren AY, Verrill C, Berney DM, Dennis N, Merson S, Hawkins S, Howat W, Lu YJ, Lambert A, Kay J, Kremeyer B, Karaszi K, Luxton H, Camacho N, Marsden L, Edwards S, Matthews L, Bo V, Leongamornlert D, McLaren S, Ng A, Yu Y, Zhang H, Dadaev T, Thomas S, Easton DF, Ahmed M, Bancroft E, Fisher C, Livni N, Nicol D, Tavaré S, Gill P, Greenman C, Khoo V, Van As N, Kumar P, Ogden C, Cahill D, Thompson A, Mayer E, Rowe E, Dudderidge T, Gnanapragasam V, Shah NC, Raine K, Jones D, Menzies A, Stebbings L, Teague J, Hazell S, Corbishley C, CAMCAP Study Group, de Bono J, Attard G, Isaacs W, Visakorpi T, Fraser M, Boutros PC, Bristow RG, Workman P, Sander C, TCGA Consortium, Hamdy FC, Futreal A, McDermott U, Al-Lazikani B, Lynch AG, Bova GS, Foster CS, Brewer DS, Neal DE, Cooper CS, Eeles RA. Nat Genet 50: 2018 682-692	115
Inferring parsimonious migration histories for metastatic cancers. El-Kebir M, Satas G, Raphael BJ. Nat Genet 50: 2018 718-726	58
A Method for Identification of the Methylation Level of CpG Islands From NGS Data. Uroshlev LA, Abdullaev ET, Umarova IR, Il'icheva IA, Panchenko LA, Polozov RV, Kondrashov FA, Nechipurenko YD, Grokhovsky SL. Sci Rep 10: 2020 8635	2
Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data. Zaccaria S, Raphael BJ. Nat Commun 11: 2020 4301	51
Prostate cancer evolution from multilineage primary to single lineage metastases with implications for liquid biopsy. Woodcock DJ, Riabchenko E, Taavitsainen S, Kankainen M, Gundem G, Brewer DS, Ellonen P, Lepistö M, Golubeva YA, Warner AC, Tolonen T, Jasu J, Isaacs WB, Emmert-Buck MR, Nykter M, Visakorpi T, Bova GS, Wedge DC. Nat Commun 11: 2020 5070	28
DeCiFering the elusive cancer cell fraction in tumor heterogeneity and evolution. Satas G, Zaccaria S, El-Kebir M, Raphael BJ. Cell Syst 12: 2021 1004-1018.e10	13
Starfish infers signatures of complex genomic rearrangements across human cancers. Bao L, Zhong X, Yang Y, Yang L. Nat Cancer 3: 2022 1247-1259	18
The architecture of clonal expansions in morphologically normal tissue from cancerous and non-cancerous prostates. Buhigas C, Warren AY, Leung WK, Whitaker HC, Luxton HJ, Hawkins S, Kay J, Butler A, Xu Y, Woodcock DJ, Merson S, Frame FM, Sahli A, Abascal F, CRUK-ICGC Prostate Cancer Group, Martincorena I, Bova GS, Foster CS, Campbell P, Maitland NJ, Neal DE, Massie CE, Lynch AG, Eeles RA, Cooper CS, Wedge DC, Brewer DS. Mol Cancer 21: 2022 183	6
Genomic evolution shapes prostate cancer disease type. Woodcock DJ, Sahli A, Teslo R, Bhandari V, Gruber AJ, Ziubroniewicz A, Gundem G, Xu Y, Butler A, Anokian E, Pope BJ, Jung CH, Tarabichi M, Dentro SC, Farmery JHR, CRUK ICGC Prostate Group, Van Loo P, Warren AY, Gnanapragasam V, Hamdy FC, Bova GS, Foster CS, Neal DE, Lu YJ, Kote-Jarai Z, Fraser M, Bristow RG, Boutros PC, Costello AJ, Corcoran NM, Hovens CM, Massie CE, Lynch AG, Brewer DS, Eeles RA, Cooper CS, Wedge DC. Cell Genom 4: 2024 100511	0
Evolving copy number gains promote tumor expansion and bolster mutational diversification. Wang Z, Xia Y, Mills L, Nikolakopoulos AN, Maeser N, Dehm SM, Sheltzer JM, Sun R. Nat Commun 15: 2024 2025	7