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• Spatial profiling of hepatocellular carcinoma identifies distinct tumor and immune micro-ecosystems related to patient outcomes

  Hepatocellular carcinoma (HCC) shows substantial intra-tumor heterogeneity that remains poorly understood. Using spatial transcriptomics, we identified 13 recurrent tumor and stromal micro-ecosystems (MES) and mapped their spatial organization and biological functions. One immune-enriched MES containing Kupffer cell–like macrophages was strongly associated with improved disease-free survival and response to atezolizumab–bevacizumab. Our findings demonstrate the value of spatial profiling for revealing rare but clinically meaningful cellular communities.

  Study EGAS50000001474

• Single cell RNA and ATAC sequencing data from GBM patients

  Glioblastoma cells infiltrate and incorporate into the normal brain parenchyma. We conduct unbiased multimodal single-cell and spatial sequencing to capture GBM cells and the surrounding tumor microenvironment using a regional sampling strategy. For each patient, we profile the peritumoral region, tumor edge, and tumor core, providing a comprehensive characterization of the transcriptional and epigenetic landscape of GBM spatial heterogeneity, with a specific focus on infiltrative cells.

  Study EGAS50000000547

• MutWP5__CRUK_Mutographs_of_Cancer__Breast__BRCA_Carriers__Targeted_

  Sequencing of LCM-derived microbiopsies from 20 women who underwent risk-reducing reduction mastectomies due to germline BRCA1/2. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Targeted data will be used as a driver and clonality screen, highly clonal or driver-containing samples will subsequently be sent for whole-genome sequencing. Results from this portion of the study will be compared to women who had cosmetic breast reduction surgeries and those with cancer.

  Study EGAS00001003315

• Exome_sequencing_in_patients_with_cardiac_arrhythmias

  The institut du thorax in Nantes (FR), the Academic Medical Center in Amsterdam (NL) and the University Hospital of Muenster (DE) have recruited 20 large families comprising at least 3 patients with cardiac arrhythmias and showing history of sudden cardiac death. For each family, the exome of one affected individual has been sequenced at the Wellcome Trust Sanger Institute (UK), in order to identify new genes associated with high risk of sudden cardiac death.

  Study EGAS00001000063

• MutWP5__CRUK_Mutographs_of_Cancer__Breast__BRCA_Carriers__Exome_

  Sequencing of LCM-derived microbiopsies from 20 women who underwent risk-reducing reduction mastectomies due to germline BRCA1/2. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Exome data will be used as a driver and clonality screen, highly clonal or driver-containing samples will subsequently be sent for whole-genome sequencing. Results from this portion of the study will be compared to women who had cosmetic breast reduction surgeries and those with cancer.

  Study EGAS00001003316

• cis-eQTL mapping of human pancreatic islets

  The intersection of genome-wide association analyses with physiological and functional data indicates that variants regulating islet gene transcription influence type 2 diabetes predisposition and glucose homeostasis. However, the specific genes through which these regulatory variants act remain poorly characterized. In this study, we generated eQTL data from human islet samples to establish the extent to which this allowed us to identify candidate effector transcripts at GWAS loci for T2D and glycemic traits.

  Study EGAS00001001265

• MutWP5__CRUK_Mutographs_of_Cancer__Breast__Cancer_Mastectomy__Targeted_

  Sequencing of LCM-derived microbiopsies from 30 women who mastectomies due to Breast Cancer. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Targeted data will be used as a driver and clonality screen, highly clonal or driver-containing samples will subsequently be sent for whole-genome sequencing. Results from this portion of the study will be compared to women who had cosmetic breast reduction surgeries and those with germline BRCA 1/2 mutations.

  Study EGAS00001003318

• Copy-number signatures and mutational processes in ovarian carcinoma

  This study contains the data underlying our approach for copy-number signature identification in high-grade serous ovarian cancer. The samples studied are part of the BriTROC-1 consortium, a national study into relapsed high-grade serous ovarian cancer. The dataset consists of shallow-whole genome sequencing of 300 samples from 143 patients with match tagged-amplicon sequencing of TP53. The study also contains deeper whole-genome sequencing of 48 cases.

  Study EGAS00001002557

• Spatial transcriptomics analysis of HPV-dependent and HPV-independent vulval squamous cell carcinoma

  In this study we have used sequencing-based spatial transcriptomics (ST) optimised for FFPE tissue to investigate gene expression in a cohort of HPVi and HPVd VSCC, including assessment of pre-invasive LS, HSIL and DVIN and associated inflammation. Our data indicate significant differences in gene expression between VSCC of different aetiologies, with marked differences in immune-related gene expression both within the invasive disease and in peri-tumoural inflammatory areas.

  Study EGAS00001007981

• ESGI_Exome_sequencing_in_Circulating_Tumor_Cells_to_determine_therapy_related_markers_____

  The objectives of this project are the identification of markers related to cancer therapy resistance in the blood of breast cancer patients and to study the genetic changes in cancer cells during this development of resistance. Whole genome amplified DNA from Circulating Tumor Cells (CTCs), selected during the course of systemic treatment from blood of metastatic breast cancer patients, will be exome sequenced . The patients selected for this study did not respond to therapy.

  Study EGAS00001000747