EORTC Data Sharing DAC

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EORTC Data Sharing Unit
datasharing@eortc.org

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This DAC controls 25 datasets

Dataset ID	Description	Technology	Samples
EGAD00001001399	Data represent genome-wide DNA methylation profiles obtained by MethylCap-seq (Diagenode’s MethylCap-kit based purification followed by Illumina GAIIx sequencing), for 70 brain tissue samples, including 65 glioblastoma samples and 5 non-tumoral tissues (obtained from epilepsy surgery).	Illumina Genome Analyzer IIx	70
EGAD00001005502	TST170 DNA FASTQ files	Illumina HiSeq 2500	16
EGAD00001005503	DNA BAM files		16
EGAD00001005710	TST170 Pilot RNA VCF	Illumina HiSeq 2500	16
EGAD00001005711	TST170 Pilot RNA FASTQ	Illumina HiSeq 2500	16
EGAD00001006043	TST170 Pilot DNA VCF files		16
EGAD00001006044	TST170 Pilot RNA BAM files		16
EGAD00001006222	SPECTA Lung cancer RNA FASTQ files (Illumina TST170 targeted analysis)	Illumina HiSeq 2500	120
EGAD00001006223	SPECTA Lung cancer DNA FASTQ files (Illumina TST170 targeted analysis)	Illumina HiSeq 2500	154
EGAD00001006260	SPECTA Lung cancer VCF files		154
EGAD00001006594	EORTC RP1335 SPECTA Lung cancer data - Oncomine dataset	Ion Torrent PGM	350
EGAD00001007527	SPECTA Lung - RP1335 14MG cram files	Illumina HiSeq 2500	38
EGAD00001007803	Whole-exome sequencing of IMFT tumor samples from 24 participants in the clinical phase II trial EORTC 90101 “CREATE” (CREATE IMFT cohort)	Illumina HiSeq 4000	24
EGAD00001007804	Whole-genome sequencing of IMFT tumor samples from 24 participants in the clinical phase II trial EORTC 90101 “CREATE” (CREATE IMFT cohort)	Illumina HiSeq 4000	24
EGAD00001007860	Collection of mostly matching primary and recurrent glioblastoma RNA-seq sample pairs, also matching with an earlier DNA sequencing study	Illumina NovaSeq 6000	346
EGAD00001007943	Intellance-2: rRNA-minus RNA-seq	Illumina NovaSeq 6000	224
EGAD00001007944	Intellance-2: TruSight Tumor 170 panel based RNA-seq	NextSeq 500	222
EGAD00001007945	Intellance-2: TruSight Tumor 170 panel based DNA-seq	NextSeq 500	216
EGAD00001008393	Raw FASTQ files obtained by RNA sequencing of tumor samples from patients (age 12-29) with newly diagnosed, recurrent intermediate or high-grade sarcoma.	Illumina HiSeq 4000	26
EGAD00001008394	Raw FASTQ files obtained from whole exome sequencing (WES) of tumor samples from patients with newly diagnosed, recurrent intermediate or high-grade sarcoma.	Illumina HiSeq 4000	51
EGAD00001008405	Raw FASTQ files obtained from whole exome sequencing (WES) of normal samples from patients with newly diagnosed, recurrent intermediate or high-grade sarcoma.	Illumina HiSeq 4000	1
EGAD00001008826	Mesothelioma of the peritoneum (n=21) and Pseudomyxoma peritonei/mucinous adenocarcinoma of the appendix (n=11)	Illumina HiSeq 4000	32
EGAD00001008968	Arcagen is an EORTC/SPECTA pan-European project that aims to recruit 1000 rare cancer patients from different tumour domains of EURACAN. This study collected samples from advanced or metastatic rare cancer from patients older than 12, and analysed them using Foundation Medicine next-generation sequencing (NGS) panels (FoundationOne CDx for FFPE samples or FoundationOne Liquid CDx for blood samples). Here we are submitting two datasets that contain NGS files from gastrointestinal rare cancers (n=119): - Dataset 2 (87 patients): Intra-hepatic cholangiocarcinoma (n=47), Extra-hepatic, cholangiocarcinoma (n=16), Not specified Cholangiocarcinoma (n=9), Small bowel adenocarcinoma (n=6) and other rare GI cancer (n=9)	Illumina HiSeq 4000	87
EGAD00010002275	Raw methylation array data for tumor samples from patients with newly diagnosed, recurrent intermediate or high-grade sarcoma.	Illumina MethylationEPIC BeadChip Array	48
EGAD50000000168	Arcagen is an EORTC/SPECTA pan-European project that aims to recruit 1000 rare cancer patients from different tumour domains of EURACAN. This study collected samples from advanced or metastatic rare cancer from patients older than 12, and analysed them using Foundation Medicine next-generation sequencing (NGS) panels (FoundationOne CDx for FFPE samples or FoundationOne Liquid CDx for blood samples). Here we are submitting the dataset that contain NGS files from rare thoracic malignancies (n=102)	Illumina HiSeq 4000	102