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• Tumor gene project

  The study focuses on human tumor susceptibility as well as somatic cancer genomics. We use high-throughput sequencing approaches to achieve a comprehensive molecular characterization of tumors. Our goal is to better understand their genesis and management opportunities.

  Study EGAS50000000984

• Metadata Submission

  Metadata Submission Welcome to the EGA Metadata Submission landing page. Here, we provide you with essential resources to facilitate a seamless submission process. Before starting your submission, please make sure you check the following pages: Submission FAQ Submission Quickguide Submission account terms EGA metadata schema If you want to submit sequencing and/or phenotypic data check these pages: Submitter Portal Submitter Portal API If you want to submit array data check these pages: Array documentation Webin Webin API

  Documentation submission/metadata/submission

• Single-cell RNA-Seq analysis of thymic ILC1 progenitors and NK cell differentiation This analysis involved a multiplexed sequencing run to study thymic innate lymphoid cells (ILCs) and NK progenitors. The generated data requires a demultiplexing file to separate and identify the individual sample tags for downstream analysis.

  This dataset contains multiplexed single-cell RNA sequencing (scRNA-seq) data from human thymic tissue, focusing on ILC1 progenitors and NK cell differentiation. The data were generated using the BD Rhapsody system and sequenced on the Illumina NovaSeq S4 platform. A demultiplexing file is required to assign sample identities.

  Dataset EGAD50000001157

• Pancreatic tropism of metastatic renal cell carcinoma

  Renal cell carcinoma (RCC) is characterized by a particularly broad metastatic swath, and enigmatically, when the pancreas is a destination, the disease is associated with improved survival. Intrigued by this observation, we sought to characterize the clinical behavior, therapeutic implications, and underlying biology. While pancreatic metastases (PM) are infrequent, we identified 31 patients across two institutional cohorts and show that improved survival is independent of established prognostic variables, that these tumors are exquisitely sensitive to anti-angiogenic agents and resistant to immune checkpoint inhibitors (ICI), and that they are characterized by a distinctive biology. Primary tumors of patients with PM exhibited frequent PBRM1 mutations, 3p loss, and 5q amplification, along with a lower frequency of aggressive features such as BAP1 mutations and loss of 9p, 14q, and 4q. Gene expression analyses revealed constrained evolution with remarkable uniformity, reduced T-effector gene signatures and increased angiogenesis. Similar findings were observed histopathologically. Thus, RCC metastatic to the pancreas is characterized by indolent biology, heightened angiogenesis, and an uninflamed stroma, likely underlying its good prognosis, sensitivity to anti-angiogenic therapies, and refractoriness to ICI. These data suggest that metastatic organotropism may be an indicator of a particular biology with prognostic and treatment implications for patients.

  Study EGAS00001004208

• Changes in AXL and/or MITF melanoma subpopulations in patients receiving immunotherapy

  Our data demonstrate large interpatient variability and variable therapy-induced changes independent of the type of therapy. We identify the presence of previously described AXL+ and MITF+ subpopulations in metastatic tissues both at the mRNA level and in situ at the protein level, and demonstrate that MITF+ melanoma cells are significantly decreased upon immunotherapy, while AXL+ melanoma cell numbers are stable. MITF+ tumor cells showed the most significant inverse correlation with CD8+ T cells. Our patient cohort also shows that immunotherapy-induced changes in the abundance of AXL+ or MITF+ tumor cells did not correlate with improved survival.

  Study EGAS50000001080

• Single-cell transcriptomic data from tumor samples

  Extramedullary multiple myeloma is an aggressive form of multiple myeloma where the myeloma cells escape BM microenvironment and infiltrate distant tissues.We analyse using single cell techniques, the composition and functional state of major immune cells in EMM tumor microenvironment, T and NK cells. This dataset contains the singlecell RNAseq data used in the publication. It includes scRNAseq data from tumor samples across extramedullary multiple myeloma soft tissue (EMM) (n=5; 3 additional samples in the study are under accession numbers mentioned in the publication), EMM bone marrow (EMM_BM) (n=5), and relapsed/refractory multiple myeloma (RRMM_BM) BM (n=6).

  Study EGAS50000001038

• Transcriptome profiling of human plucked frontal and occipital hair follicles

  Androgenetic alopecia (AGA) is characterized by a progressive and androgen-dependent loss of hair from the frontal and vertex regions of the scalp. Although large-scale genetic analyses have identified >300 genetic risk factors, the underlying causal genes and pathways, and their involvement in core pathophysiological mechanisms, remain unclear. In the present study, systematic profiling of differential mRNA and microRNA expression was performed in human hair follicle samples from frontal and occipital scalp regions. Taken together, the present data improve understanding of the genomic regions, genes, and pathways that are implicated in AGA pathobiology.

  Study EGAS00001002832

• Molecular Subtype-specific Biomarkers Improves Colorectal Cancer Prognostication

  Colorectal cancer (CRC) is characterized by major inter-tumor diversity that complicates the prediction of disease and treatment outcomes. Recent efforts help resolve this by sub-classification of CRC according to natural molecular subtypes, however, this strategy is not yet able to provide clinicians with improved tools for decision-making. We here present an extended framework for CRC stratification that specifically aims to improve patient prognostication. Using transcriptional profiles from 1,100 CRCs, including a novel set of >300 samples, we identify novel cancer cell and tumor archetypes and suggest the tumor microenvironment as a major prognostic determinant that can be influenced by the microbiome. Notably, our subtyping strategy allowed identification of novel archetype-specific prognostic biomarkers that provided information beyond and independent of UICC-TNM staging, MSI-status and consensus molecular subtyping. The results illustrate that our extended subtyping framework, combining subtyping and subtype-specific biomarkers, could contribute to improved patient prognostication and may form a strong basis for future studies.

  Study EGAS00001002376

• Whole transcriptome sequencing of the dMMR colorectal cancer cohort

  We leveraged the ImmunoID NeXT platform, an Immune-enhanced multiomics platform to profile a cohort of patients with dMMR CRC. This sub-study includes the whole transriptome sequencing data

  Study EGAS50000001742

• TCR and BCR sequencing of the dMMR colorectal cancer cohort

  We leveraged the ImmunoID NeXT platform, an Immune-enhanced multiomics platform to profile a cohort of patients with dMMR CRC. This sub-study includes the TCR and BCR sequencing data

  Study EGAS50000001743