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• DCIS Whole Exome & Whole Genome Sequencing Data

  Primary DCIS and recurrent DCIS/IBC (total n=82, ipsilateral n=78 and contralateral n=4) as well as non-recurrent DCIS (n=32) cases were identified through hospital databases from Royal Melbourne Hospital (RMH), Nottingham City Hospital (UK), the LifePool cohort and Peter MacCallum Cancer Centre (PMCC). All cases were micro-dissected from haematoxylin stained sections (range 4-20 sections) by manual micro-dissection to achieve >50% tumour tissue purity. DNA was extracted using the FFPE AllPrep kit (Qiagen, MD, USA). Depending on the success and timing of DNA extraction (Figure 1), cases were analysed by a targeted sequencing panel (n=46, samples pre-2020), whole exome sequencing (WES, n=67), or low-coverage whole genome sequencing (LCWGS). WES: DNA was processed by the Australian Genome Research Facility (AGRF) using the Twist Bioscience Human Comprehensive Exome v1 or v2 (Twist Bioscience HQ, South San Francisco, CA, USA) according to the Twist Target Enrichment Standard Hybridisation Protocol. Sequencing was performed on the Illumina NovaSeq 6000 with 150 bp paired-end reads for a median depth of 101.29x, range: 20.39-247x. Whole Genome Sequencing (WGS): Libraries for four paired samples with matched stromal DNA were made, processed and sequenced by AGRF using the IDT xGen Kit (USA) according to the manufacturer’s protocol, aiming to achieve 60x depth for tumour DNA and 30x for matched normal. File type: Paired-end FASTQ.

  Dataset EGAD50000001846

• Single cell transcriptomics to characterize the tumor microenvironment of prostate cancer fusion biopsies

  The primary objective of this study was to characterize the tumor microenvironment in fusion-guided transperineal biopsy samples from patients undergoing PC diagnosis. For each patient, one biopsy was taken from a suspected tumor region and another from a non-suspicious area, which were later classified as high- or low-tumorigenicity based on anatomopathological analysis. Using scRNA-seq data, we performed cancer-oriented cell annotation, differential expression analysis, and functional pathway enrichment studies across key cellular subpopulations. Additionally, differential abundance analysis was conducted to identify cell groups representative of different tumorigenicity levels. Finally, classification models were developed using gene expression data to differentiate high- vs. low-tumorigenicity samples, with the long-term goal of establishing a diagnostic classifier for PC stratification.

  Study EGAS50000000888

• Whole-exome sequencing identifies new pathogenic germline variants in patients with colorectal polyposis

  Adenomatous polyposis confers an increased risk of colorectal cancer development. Here, we investigated probably underlying predisposition variants in patients with suspected colorectal polyposis without variants in APC and MUTYH genes by whole exome sequencing (WES). Twenty-seven patients were included and subjected to germline WES. After filtering out variants for sequencing quality, variant allele fraction frequency, and population frequency, variants were manually prioritized by the ACMG criteria. Among the variants identified, 17 were classified as pathogenic or likely pathogenic (in 12 patients). This study gives information of probably associated polyposis variants in Brazilian patients without germline pathogenic variants in APC and MUTYH genes, supporting the utilization of next-generation sequencing for screening in these patients beyond these genes.

  Study EGAS50000000591

• GM adipose tissue study

  The Greek Metabolic (GM) adipose study was carried out in 106 individuals living in Greece and consists of genotyping data (chip), RNA-Seq and ATAC-Seq (for a subset of individuals) data from paired biopsies of Subcutaneous and Visceral adipose tissue. eQTL mapping was performed to study gene regulation and findings compared to those from adipose tissue GTEX data. The focus of this project was to study an underexplored population living in different environmental conditions in order to reveal novel regulatory effects for genes that shape complex traits and disease risk. Our results highlight the utility of modest-sized studies in adding to our understanding of the molecular basis of complex traits and to the identification of mechanisms that drive disease in specific tissues.

  Study EGAS00001007126

• Cell motility and migration as determinants of stem cell efficacy

  Limited stem cell migration capacities and undirected homing hamper their therapeutic efficacy. We report here the novel technology to isolate stem cell subpopulations with high migration potential. Hereby, we identified podoplanin-dependent stem cell mobility as important mechanism for their in vivo homing capacities and therapeutic efficacy as validated in preclinical models of Alzheimer´s disease and mouse glioma. In vivo applications of highly migrating stem cells resulted in remarkable improvement of targeted homing and engraftment rates. Moreover, animals receiving highly migrating stem cells showed higher recovery rates compared to unselected stem cells. This novel technology provides useful tool to improve therapeutic efficacy of stem cells and give insights into stem cell subpopulations heterogeneity with the potential of general applicability for cellular therapies.

  Study EGAS00001002478

• Targeting PTPRK-RSPO3 colon tumours promotesdifferentiation and loss of stem-cell function

  Colorectal cancer remains a major unmet medical need, promptinglarge-scale genomics efforts in the field to identify moleculardrivers for which targeted therapies might be developed. Wepreviously reported the identification of recurrent translocationsin R-spondin proteins present in a subset of colorectal tumours.Here we show that targeting RSPO3 in PTPRK-RSPO3-fusion positivehuman tumour xenografts inhibits tumour growth andpromotes differentiation. Notably, genes expressed in the stem-cellcompartment of the intestine were among those most sensitive toanti-RSPO3 treatment. This observation, combined with functionalassays, suggests that a stem-cell compartment drives PTPRK-RSPO3colorectal tumour growth and indicates that the therapeutictargeting of stem-cell properties within tumours may be a clinicallyrelevant approach for the treatment of colorectal tumors.

  Study EGAS00001001462

• Integrative_Oncogenomics_of_multiple_myeloma

  We used targeted capture and massively parallel sequencing of exomes of CD138 purified plasma cells and matched somatic DNA from 17 patients with Multiple Myeloma. For each patient, an early tumor sample (at diagnosis) and a late one (at relapse) were available. For few of them, an additional late sample (2nd progression) was present. In total, the study has 52 samples. 1044 variants were validated by 454 sequencing. The present study will validate an additional 4630 variants by targeted pull-down and sequencing. All 52 samples will be indexed and then will be pre-pooled in groups of 5 or 6. The sequence capture will use 10 reactions. All samples will then be pooled and go thorugh one lane of HiSeq.

  Study EGAS00001000244

• May 2021 data update (fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  May 2021 data update (fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies (Canadian Epigenetics, Environment and Health Research Consortium), Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001008100

• DATA ACCESS AGREEMENT CGNT- GROUP COMMITTEE for project "Exome sequencing of 22 Pheochromocytoma/paraganglioma tumors" at Gothenburg University.

  Dac EGAC00001000411

• DAC for Greenland Studies of University of Copenhagen and University of Southern Denmark.

  Dac EGAC00001000736