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• Comprehensive peripheral blood immunoprofiling reveals five immunotypes with immunotherapy response characteristics in cancer patients

  The lack of comprehensive diagnostics and consensus analytical models for evaluating the status of a patient’s immune system has hindered a wider adoption of immunoprofiling for treatment monitoring and response prediction in cancer patients. To address this unmet need, we developed an immunoprofiling platform that uses multiparameter flow cytometry and RNA-seq to characterize immune cell heterogeneity in the peripheral blood of healthy donors and patients with advanced cancers. Using unsupervised clustering, we identified five immunotypes with unique distributions of different cell types, and gene expression profiles.

  Study EGAS50000000286

• Human scMultiome data (GEX and ATAC paired) from CD34+ Bone Marrow (BM) and mobilized peripheral blood (mPB), including CITE-Seq data from mPB CD34+ samples

  We analyzed healthy CD34+ samples from Bone Marrow (BM) and mobilized Peripheral Blood (mPB) in gene therapy experiments within the X-PAND project. BM samples underwent scMultiome analysis, providing paired GEX and ATAC data. For the mPB samples, both scMultiome and CITE-Seq were performed on the same donors, offering additional protein marker information. These datasets allow for an in-depth exploration of chromatin accessibility, gene expression, and surface protein profiling in hematopoietic progenitor cells from healthy donors.

  Study EGAS50000000750

• Clonal evolution of metastatic colorectal cancer under anticancer therapies

  To investigate the clonal evolution of metastatic CRC at the single-cell level, we performed WGS in 58 clonal organoids and 18 fresh-frozen (FT) bulk-tissue samples from surgically resected primary and metastatic tumors before and after anticancer therapies in 6 patients. This approach enabled detailed phylogenetic reconstruction of individual clones. We discovered the timing and burden of treatment-related mutations as well as the heterogeneous evolution in driver mutations and genomic rearrangements in late-stage clonal evolution under anticancer therapies in metastatic CRC.

  Study EGAS50000001023

• Integrated multi-omics analysis of pediatric hepatoblastoma

  Hepatoblastoma (HBL) is the most common malignant liver tumor in childhood and is clinically heterogeneous. In spite of its heterogeneity, the molecular basis responsible for the difference between low-risk and high-risk HBL has not been fully clarified. To address this issue, we carried out multi-omics analysis on 59 HBL samples to generate comprehensive profiles of gene mutation, copy-number alteration, DNA methylation and gene expression. By integrating these data, we aimed to unravel the heterogeneity of HBL and identify genetic determinants and therapy targets of high-risk HBL.

  Study JGAS000188

• ChIP sequencing for β-catenin and histone modifications in HCC cell lines and organoids with CTNNB1 mutations

  CTNNB1 mutation is a major driver of HCC, particularly in metabolic-associated subtype. This study utilized patient-derived tumour organoids and cell lines harbouring various endogenous CTNNB1 mutations to comprehensively map the transcriptional repertoire regulated by mutant β-catenin through ChIP-seq under normal and fatty conditions. Genome-wide binding patterns of β-catenin were integrated with ChIP-seq data for histone modifications H3K27ac and H3K27me3 to assess active and repressive chromatin states. Oleic acid treatment was used to model fatty conditions.

  Study EGAS50000001274

• Extensive three-dimensional intratumor proteomic heterogeneity revealed by multiregion sampling in high-grade serous ovarian tumor specimens

  Enriched tumor epithelium, tumor-associated stroma, and whole tissue were collected by laser microdissection from thin sections across spatially separated levels of ten high-grade serous ovarian carcinomas (HGSOCs) and analyzed by mass spectrometry, reverse phase protein arrays, and RNA sequencing. Unsupervised analyses of protein abundance data revealed independent clustering of an enriched stroma and enriched tumor epithelium, with whole tumor tissue clustering driven by overall tumor “purity.” Comparing these data to previously defined prognostic HGSOC molecular subtypes revealed protein and transcript expression from tumor epithelium correlated with the differentiated subtype, whereas stromal proteins (and transcripts) correlated with the mesenchymal subtype. Protein and transcript abundance in the tumor epithelium and stroma exhibited decreased correlation in samples collected just hundreds of microns apart. These data reveal substantial tumor microenvironment protein heterogeneity that directly bears on prognostic signatures, biomarker discovery, and cancer pathophysiology and underscore the need to enrich cellular subpopulations for expression profiling.

  Dataset EGAD00001008344

• Understanding_Society_GWAS

  The UK Household Longitudinal Study (Understanding Society https://www.understandingsociety.ac.uk/) aims to create and enhance a resource for a wide range of scientists, both social and biological, by combining the collection of biomarkers and psychosocial information with high quality longitudinal social and economic data about individuals and families. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001001232

• Genome-wide identification of distinct miRNA-mRNA target regulation pairs in Non-Hodgkin lymphomas: a report from the ICGC MMML-Seq consortium

  We obtained miRNA profiles by miRnome sequencing from ICGC MMML-Seq patients diagnosed with Burkitt lymphoma, diffuse large B-cell lymphoma and follicular lymphoma and provide evidence of subtype-specific miRNA expression differences. We describe differentially expressed, mutated, edited and not previously annotated miRNAs. Addditionally, by performing argonaute-2 photoactivatable ribonucleoside-enhanced cross-linking and immunoprecipitation (PAR-CLIP) experiments, we obtained a set of biochemically-validated miRNA binding sites and identified miRNA-mRNA interaction pairs with a negative correlation in patient RNASeq data.

  Study EGAS00001001394

• Genomic analysis of HPV positive versus HPV negative esophageal adenocarcinoma

  High-risk human papillomavirus (hr-HPV) has been implicated in a subset of patients with esophageal adenocarcinoma (EAC). We therefore hypothesized that HPV associated EAC may have distinct genomic aberrations compared with viral negative esophageal cancer as shown in Head and Neck cancer and cervical cancer. Whole exome sequencing (WES) was performed to explore the mutational landscape and potential molecular signature of HPV positive versus HPV negative EAC, which includes four hr-HPV-positive and 8 HPV-negative treatment naive fresh-frozen EAC tissue specimens and matched normal tissues.

  Study EGAS00001001340

• Discovery of new fusion transcripts in a cohort of pediatric solid cancers at relapse

  This study aims to dissect further the complexity of fusion landscape in recurrent pediatric cancers. A retrospective study on RNA-sequencing data of 48 pediatric patients at relapse with different malignancies was conducted in order to detect and validate several fusions and predict their probable oncogenic potential and targetability. We obtained a high validation rate of 90% of selected candidates which will serve both clinical and research needs to detect and prioritize experimental validation studies leading to the development of new therapeutic options.

  Study EGAS00001003236