16787 results for "sec+and+unspecified+malignant+neoplasm"

in 30.24 milliseconds.

• RNA-seq, WGS and WES of Hepatocellular carcinomas, enriched in fibrolamellar carcinomas

  DNAJB1-PRKACA fusion is a specific driver event in fibrolamellar carcinoma (FLC), a rare subtype of hepatocellular carcinoma (HCC) occurring in adolescents and young adults. In older patients, molecular determinants of HCC with mixed histological features of HCC and FLC (mixed-FLC/HCC) remain to be discovered.This study aims to molecularly caracterize mixed fibrolamellar hepatocellular carcinoma (mixed FLC/HCC) within the molecular liver tumors diversity, in respect of pure FLC and different HCC subtypes. This study reunites WGS data (n=3, Tumoral/Non-Tumoral pairs), WES data (n=43, Tumoral/Non-Tumoral pairs) and RNAseq data (n=66, Tumoral only). On a trascriptomic level, most of the mixed-FLC/HCC RNAseq clustered in a robust subgroup of tumors all showing mutation or translocation inactivating BAP1 that codes for the BRCA1 associated protein-1.

  Study EGAS00001003837

• Identification of four new susceptibility loci for testicular germ cell tumour, including variants near GAB2, GSPT1 and ZFPM1

  Genome wide association studies (GWAS) have identified multiple risk loci for testicular germ cell tumour (TGCT), revealing a polygenic model of disease susceptibility strongly influenced by common variation. To identify further SNPs associated with TGCT we conducted a multistage GWAS with a combined dataset of >25,000 individuals (6,059 cases and 19,094 controls). We identified new risk loci for TGCT at 3q23 (rs11705932, TFDP2, P = 1.5 x 10-9), 11q14.1 (rs7107174, GAB2, P = 9.7 x 10-11), 16p13.13 (rs4561483, GSPT1, P = 1.6 x 10-8) and 16q24.2 (rs55637647, ZFPM1, P = 3.4 x 10-9). We additionally present detailed functional analysis of these loci, identifying a statistically significant relationship between rs4561483 risk genotype and increased GSPT1 expression in TGCT patient samples. These findings provide additional support for a polygenic model of TGCT risk and further insight into the biological basis of disease development.

  Study EGAS00001001302

• Whole-genome sequencing in 14 cases and whole-exome sequencing in 90 cases of Chinese ESCC

  Esophageal cancer is one of the most aggressive cancers and the sixth leading cause of cancer death worldwide1. Approximately 70% of the global esophageal cancers occur in China and over 90% histopathological forms of this disease are esophageal squamous cell carcinoma (ESCC)2-3. Currently, there are limited clinical approaches for early diagnosis and treatment for ESCC, resulting in a 10% 5-year survival rate for the patients. Meanwhile, the full repertoire of genomic events leading to the pathogenesis of ESCC remains unclear. Here we show a comprehensive genomic analysis in 158 ESCC cases, as part of the International Cancer Genome Consortium (ICGC) Research Projects (http://icgc.org/icgc/cgp/72/371/1001734). We conducted whole-genome sequencing in 14 ESCC cases and whole-exome sequencing in 90 cases.

  Study EGAS00001001487

• H3K27ac ChIP-seq in TMPRSS2:ERG positive and negative prostate cancer tissue samples

  The TMPRSS2:ERG (T2E) structural rearrangements typifies ~50% of prostate tumors and results in overexpression of the ERG transcription factor. Using chromatin data collected in T2E and non-T2E primary prostate tumors, we show a distinct cis-regulatory landscape between T2E and non-T2E, inclusive of Cluster Of Regulatory Elements (COREs). This is mediated by ERG co-option of HOXB13 and FOXA1 implementing a T2E-specific transcriptional profile. We also report a T2E-specific CORE on the structurally rearranged ERG locus arising from spreading of the TMPRSS2 locus pre-existing CORE, assisting in its overexpression. Finally, we show that the T2E-specific cis-regulatory landscape reveals a vulnerability against the NOTCH pathway. Taken together, our work shows that overexpressed ERG co-opts master transcription factors to deploy a unique cis-regulatory landscape inducing a druggable dependency on NOTCH signaling in T2E prostate tumors.

  Study EGAS00001002496

• A Unifying Paradigm for Transcriptional Heterogeneity and Squamous Features in Pancreatic Ductal Adenocarcinoma

  Pancreatic cancer expression profiles largely reflect a classical or basal-like phenotype. The extent to which these profiles vary within a patient is unknown. We integrated evolutionary analysis and expression profiling in multiregion sampled metastatic pancreatic cancers, finding that squamous features are the histologic correlate of an RNA-seq defined basal-like subtype. In patients with coexisting basal/squamous and classical/glandular morphology, phylogenetic studies revealed that squamous morphology represented a subclonal population in an otherwise classical/glandular tumor. Cancers with squamous features were significantly more likely to have clonal mutations in chromatin modifiers, intercellular heterogeneity for MYC amplification, and entosis. These data provide a unifying paradigm for integrating basal-type expression profiles, squamous histology, and somatic mutations in chromatin modifier genes in the context of clonal evolution of pancreatic cancer.  

  Study EGAS00001003974

• High coverage target resequencing of coding and regulatory regions of 38 Parkinson disease genes associated either to the Mendelian or the sporadic forms of the disease

  Coding sequences and putative regulatory sequences (retrieved from Ensembl and including up to 2500 bp of promoter sequence upstream the transcription start site) were re-sequenced to a mean depth of 49X on 38 genes associated to Parkinson's disease (RAB25, NUCKS1, RAB7L1, GBA, SYT11, ACMSD, STK39, MCCC1, STBD1, GAK, DGKQ, BST1, SCARB2, HLA-DRB5, GPNMB, FGF20, ITGA8, HIP1R, STX1B, SETD1A, SREBF1, MED13, RAI1, MAPT, RIT2, GIGYF2, HTRA2, EIF4G1, SNCA, LRRK2, VPS35, PINK1, DJ1, ATP13A2, UCHL1, PARK2, FBXO7, and PLA2G6). Sequencing was performed on 249 Parkinson's idiopathic cases and 145 unrelated controls of Spanish origin. All sequencing data was generated with an Illumina Hiseq2000 instrument after enrichment with a custom NimbleGen array. Raw reads were mapped to human reference genome hg19/GRCh37 using BWA aligner.

  Study EGAS00001000973

• Analysis of IDHwt-glioblastoma samples from paired primary and recurrent tumor samples

  IDHwt-glioblastomas rapidly recur after initial treatment. To study genetic evolution in glioblastoma, we analyzed whole genomes of 21 pairs of primary and recurrent tumor samples using next generation sequencing. In addition we sequenced RNA from 16 tumor pairs and a panel of 50 glioma-associated genes in tumor pairs from 43 patients (including 14 of the 21 patients included in the WGS discovery set). Glioblastoma subtypes were determined using 450k/EPIC methylation arrays. This study was supported within the e:med program of the German Ministry of Education and Research (BMBF) by the collaborative research project ‘SYS-GLIO - Systems-based prediction of the biological and clinical behavior of gliomas’ (https://www.sys-med.de/de/demonstratoren/sys-glio/) This study is part of the Heidelberg Center for Personalized Oncology - HIPO-043

  Study EGAS00001003184

• Conserved interferon-gamma signaling and decreased immune exclusion programs in responses to immune checkpoint blockade therapy

  We analyzed baseline and on-therapy tumor biopsies from 101 patients with advanced melanoma treated with nivolumab (anti-PD-1) alone or combined with ipilimumab (anti-CTLA-4). Analysis of whole transcriptome data showed that T cell infiltration and interferon-gamma signaling signatures corresponded most highly with clinical response to therapy, with a reciprocal decrease in cell cycle and WNT signaling pathways in responding biopsies. Clinical outcome differences were likely not due to differential melanoma cell responses to interferon-gamma, as 57 human melanoma cell lines exposed in vitro to this cytokine showed a conserved interferon-gamma transcriptome response unless they had mutations that precluded signaling from the interferon-gamma receptor. Therefore, the magnitude of the antitumor T cell response and the corresponding downstream interferon-gamma signaling are the main drivers of clinical response or resistance to immune checkpoint blockade therapy.

  Study EGAS00001004545

• Single cell multi-omic study of H3-K27M mutant diffuse midline glioma across age and location

  Histone 3 lysine27-to-methionine (H3-K27M) mutations most frequently occur in childhood diffuse midline gliomas (DMGs) of the pons, but are also increasingly recognized in adult DMGs. Their potential heterogeneity at different ages and midline locations are vastly understudied. Here, through dissecting the single-cell transcriptomic, epigenomic and spatial architectures of a comprehensive cohort of patient H3-K27M DMGs, we delineate how age and anatomical location shape glioma cell-intrinsic and -extrinsic features in light of the shared driver mutation. We conducted multi-omic profiling of 50 H3-K27M mutant patient tumors. We performed deep full-length Smart-seq2 fresh single-cell (n=18) or frozen single-nucleus (n=25) RNA-sequencing (sc/snRNA-seq) of 43 tumors). We additionally analyzed the open chromatin profiles of 8 tumors utilizing the single-cell/nucleus assay for transposase-accessible chromatin using sequencing (snATAC-seq)

  Study EGAS00001006994

• Oncogenic chimeric transcription factors drive tumor-specific transcription, processing, and translation of silent genomic regions

  Many cancers are characterized by gene fusions encoding oncogenic chimeric transcription factors (TFs) such as EWS::FLI1 in Ewing sarcoma (EwS). Here, we find that EWS::FLI1 induces the robust expression of a specific set of novel spliced and polyadenylated transcripts within otherwise transcriptionally silent regions of the genome. These neogenes (NGs) are virtually undetectable in large collections of normal tissues or non-EwS tumors and can be silenced by CRISPR interference at regulatory EWS::FLI1-bound microsatellites. Ribosome profiling and proteomics further show that some NGs are translated into highly EwS-specific peptides. More generally, we show that hundreds of NGs can be detected in diverse cancers characterized by chimeric TFs. Altogether, this study identifies the transcription, processing, and translation of novel, specific, highly expressed multi-exonic transcripts from otherwise silent regions of the genome as a new activity of aberrant TFs in cancer.

  Study EGAS00001006293

• Identification of neoantigen from MSI-CRC patient derived organoids and its application for targeting by autologous T cells

  Targeting neoantigens expressed only by tumor cells enable tumor destruction without unexpected damages to healthy tissues. Here, we identified neoantigens from microsatellite instable (MSI) colorectal cancer (CRC) patient-derived organoids by genomics and immunopeptidomics approches. The neoantigens in this study were predicted from frame-shift mutation by whole-genome sequencing and confirmed its presentation on organoids surface class I HLA molecules by mass spectrometry. We utilized these neoantigens to isolate neoantigen-specific CD8 T cells from autologous PBMC, and proved tumor organoids killing ability of the CD8 T cells, whereas it did not attack normal organoids. This study provides a platform to identify neoantigen from patient-derived cancer organoids and a model to validate T cell recognition, which could be useful for adoptive CD8 T cell transfer treatment for MSI-CRC patient.

  Study EGAS00001006633

• ctDNA monitoring using patient-specific sequencing and integration of variant reads - Breast cohort

  Circulating tumor-derived DNA (ctDNA) can be used to monitor cancer dynamics noninvasively. Detection of ctDNA can be challenging in patients with low-volume or residual disease, where plasma contains very few tumor-derived DNA fragments. We show that sensitivity for ctDNA detection in plasma can be improved by analyzing hundreds to thousands of mutations that are first identified by tumor genotyping. We describe the INtegration of VAriant Reads (INVAR) pipeline, which combines custom error-suppression methods and signal-enrichment approaches based on biological features of ctDNA. With this approach, the detection limit in each sample can be estimated independently based on the number of informative reads sequenced across multiple patient-specific loci. We applied INVAR to custom hybrid-capture sequencing data from 176 plasma samples from 105 patients with melanoma, lung, renal, glioma, and breast cancer across both early and advanced disease. By integrating signal across a median of >105 informative reads, ctDNA was routinely quantified to 1 mutant molecule per 100,000, and in some cases with high tumor mutation burden and/or plasma input material, to individual parts per million. This resulted in median Area Under the Curve (AUC) values of 0.98 in advanced cancers, and 0.80 in early stage and challenging settings for ctDNA detection. We generalized this method to whole-exome and whole-genome sequencing, showing that the INVAR may be applied without requiring personalized sequencing panels, so long as a tumor mutation list is available. As tumor sequencing becomes increasingly performed, such methods for personalized cancer monitoring may enhance the sensitivity of cancer liquid biopsies.

  Dataset EGAD00001006293

• RaScALL: Rapid (Ra) screening (Sc) of RNA-seq data for prognostically significant genomic alterations in acute lymphoblastic leukaemia (ALL)

  RNA-sequencing (RNA-seq) efforts in acute lymphoblastic leukaemia (ALL) have identified numerous prognostically significant genomic alterations which can guide diagnostic risk stratification and treatment choices when detected early. However, a full RNA-seq Bioinformatics workflow is time-consuming and costly in a clinical setting where rapid detection and accurate reporting of clinically relevant alterations are essential. To accelerate the identification of ALL-specific alterations (including gene fusions, single nucleotide variants and focal gene deletions), we developed the rapid screening tool RaScALL, capable of identifying more than 100 prognostically significant lesions directly from raw sequencing reads. RaScALL uses the k-mer based targeted detection tool km and known ALL variant information to achieve a high degree of accuracy for reporting subtype defining genomic alterations compared to standard alignment-based pipelines. Gene fusions, including difficult to detect fusions involving EPOR and DUX4, were accurately identified in 98% (164 samples) of reported cases in a 180-patient Australian study cohort and 95% (n=63) of samples in a North American validation cohort. Pathogenic sequence variants were correctly identified in 75% of tested samples, including all cases involving subtype defining variants PAX5 p.P80R (n=12) and IKZF1 p.N159Y (n=4). Accurate detection of intragenic IKZF1 deletions resulting in aberrant transcript isoforms was also detectable with 98% accuracy. Importantly, the median analysis time for detection of all targeted alterations averaged 22 minutes per sample, significantly shorter than standard alignment-based approaches, ensuring accelerated risk-stratification and therapeutic triage.

  Dataset EGAD00001009087

• Cancer of Low survival and UnMet Need – Pathologist Initiated

  Despite significant advances in diagnostic cancer histopathology, a subset of tumors remain unable to be classified using WHO criteria. The resulting diagnostic uncertainty can result in inappropriate clinical management and negative patient outcomes. We investigated whether combining histopathology with whole genome and transcriptome sequencing (WGTS) could improve the classification of tumors that posed diagnostic dilemmas despite extensive histopathology and standard molecular work-up at a quaternary oncology center. We successfully sequenced 45 tumors from an initial set of 54 unclassified tumors (83% success rate). A confident diagnosis was made for 38/45 tumors (84%). Additionally, potential treatment targets were identified in 21/45 tumors (47%). Theoretical comparison with alternative assays demonstrated that WGTS was uniquely capable of detecting critical diagnostic findings in 15/38 tumors (39%). This work supports augmenting histopathology and standard molecular pathology with WGTS in the classification of difficult-to-diagnose tumors.

  Study EGAS00001008112

• Analysis of Papilloma Infiltrating T cells from an Exceptional Responder to Immunotherapy

  This data corresponds to single cell RNA-seq data of TIL from a young woman with recurrent respiratory papillomatosis who was treated with PD-L1 blockade and experienced durable disease control over a 4+ year period. A HPV6 E2-specific, HLA-B*55 restricted TCR was identified and shown to be present in both the immediate post treatment and 4 year TIL, with a gene expression profile indicative of being a tissue resident memory T cell. 

  Study phs002826

• International Multi-Center ADHD Gene Project (IMAGE) II Case Sample

  This sample represents a collection of cases across a range of sites. All of these samples were ascertained for ADHD with most meeting criteria for combined type ADHD. The collection sites span Europe and America. Further details on the source and inclusion and exclusion information can be found in Neale et al. "Case-Control Genome-Wide Association of Attention-Deficit / Hyperactivity Disorder" J Am Acad Child Adolesc Psychiatry. 2010 September; 49(9): 906-920 PMID20732627. For online access to this manuscript see: PMC2928577.

  Study phs000407

• NHLBI TOPMed: HyperGEN - Genetics of Left Ventricular (LV) Hypertrophy

  The Hypertension Genetic Epidemiology Network Study (HyperGEN) - Genetics of Left Ventricular (LV) Hypertrophy is a familial study aimed to understand genetic risk factors for LV hypertrophy by conducting genetic studies of continuous traits from echocardiography exams. The originating HyperGEN study aimed to understand genetic risk factors for hypertension. Data from detailed clinical exams as well as genotyping data for linkage studies, candidate gene studies and GWAS have been collected and is shared between HyperGEN and the ancillary HyperGEN - Genetics of LV Hypertrophy study.

  Study phs001293

• Genetic Study of Present-Day Populations of Northern Kenya

  Human populations in Africa are the most genetically diverse in the world, having a rich history, and yet are severely understudied. The purpose of this study is to understand the population history of the Turkana. This study aims to measure the extent of genetic variation using whole genome and whole exome sequencing in this population, with the goal to better understand the broader evolutionary history of these populations and to add to the current knowledge of population genetics in Africa.

  Study phs002219

• Circulating Tumor DNA Sequencing Provides Comprehensive Mutation Profiling for Pediatric Central Nervous System Tumors

  Tumor molecular profiling is increasingly important for the diagnosis and clinical management of childhood brain tumors, including diffuse midline glioma (DMG). We established a targeted deep sequencing approach using the TruSight Oncology 500 ctDNA exome panel to detect tumor genomic mutations and copy number variations in circulating tumor DNA from children diagnosed with DMG. In this study, we present the sensitivity, specificity, and clinical implications of our liquid biopsy sequencing approach for tumor genome profiling in children with DMG.

  Study phs003022

• Rhode Island Child Health Study (RICHS)

  Mother and infant pairs were enrolled in the Rhode Island Child Health Study (RICHS) at the Woman and Infant's Hospital from 2009 through 2014. This population consists of singleton, term infants (≥37 weeks gestation) born without serious pregnancy complications or congenital or chromosomal abnormalities. Given a priority interest to study fetal growth, the RICHS population was oversampled for both large for gestational age (LGA, >90% 2013 Fenton Growth Curve) and small for gestational age (SGA, <10% 2013 Fenton Growth Curve) infants.

  Study phs001586

• Genetic Study of Northern Kenya Pastoral Populations

  Human populations in Africa are the most genetically diverse in the world, having a rich history, and yet are severely understudied. The purpose of this study is to understand the population history of four ethnolinguistic groups in northern Kenya - the Turkana, Samburu, Rendille, and Borana. This study aims to measure the extent of variation among several genetic systems in these populations, with the goal to better understand the broader population history in northern Kenya and to add to the current knowledge of population genetics in Africa.

  Study phs002654

• Mutational Landscape of Lethal Castrate Resistant Prostate Cancer

  Exome sequencing of matched pairs of tumor / normal genomic DNA was performed from high risk localized prostate cancer or lethal, metastatic, castrate resistant prostate cancer (CRPC). Exome libraries were prepared using Illumina Paired_End Genome DNA Sample Prep Kit and captured using Agilent SureSelect Capture Library or Roche EZ Exome capture library. Sequencing was performed on Illumina GAII and HiSeq 2000 platforms in paired end mde, with 80 base pair reads from the final library fragments. Copy number alterations and somatic mutations were identified.

  Study phs000554

• Genetics of Cerebral Hemorrhage with Anticoagulation (GOCHA)

  This is a prospective, longitudinal cohort study of spontaneous ICH. Subjects were recruited from among consecutive patients ≥ 55 years old who presented with primary hemorrhage to the Massachusetts General Hospital or one of our off-site collaborators from 1999 to 2010. Potential subjects were identified by screening lists of all admissions to the neurology and neurosurgery inpatient services. All patients underwent routine clinical evaluation, including history taking and physical examination, laboratory testing, and computed tomography of the brain.

  Study phs000416

• Segmental Overgrowth/Vascular Anomalies/Dermatologic Disorders

  This study was designed to determine the molecular etiology of disorders characterized by segmental overgrowth, vascular anomalies, or dermatologic conditions that are part of the diagnostic criteria for Proteus syndrome or PIK3CA-related overgrowth spectrum (PROS). Somatic variants in AKT1 or PIK3CA have been identified as causative for Proteus syndrome and PROS respectively, and this study aimed to determine the extent of allelic and genetic heterogeneity in individuals who fully met the diagnostic criteria, had some aspects of, or had isolated manifestations of either syndrome.

  Study phs002006

• Decade-Long Leukemia Remissions with Persistence of CD4+ CAR T-Cells

  Two patients with chronic lymphocytic leukemia (CLL) were treated with CD19 targeted CAR T therapy and followed over several years. Peripheral blood from both patients at multiple time points was collected, and 5' CITE-Seq with TCR profiling was performed on sorted CD3+CAR+ T cells at multiple time points. Here, we deposit the raw sequencing data for these single-cell experiments. Processed and de-identified data (e.g. cellranger output, Seurat objects) have been made available on a separate public data repository.

  Study phs002931

• Center for Common Disease Genomics (CCDG)-Cardiovascular: University of Pennsylvania Cohort

  The National Human Genome Research Institute (NHGRI) has funded the Centers for Common Disease Genomics (CCDG), a collaborative large-scale genome sequencing effort to comprehensively identify rare risk and protective variants contributing to multiple common disease phenotypes and to better understand the general principles of genomic architecture underlying common, complex inherited diseases. This study of early onset cardiovascular disease and metabolic risk contains data derived from the whole genome sequence data of individuals participating in Penn Medicine's BioBank.

  Study phs001502

• Pharmacogenomics of Rheumatoid Arthritis Therapy

  Rheumatoid arthritis (RA) is the most common autoimmune inflammatory arthritis worldwide and affects 1.3 million adults in the USA. It has previously been studied using phenotype algorithms to identify electronic health records (EHR) case cohorts. Early genetic studies of EHR-linked cohorts of RA patients have been replicated in known associations. Further development of collections of EHR-linked cohorts for RA and other phenotypes may enable not only enhanced understanding of disease risks but also the investigation of outcomes and treatment responses.

  Study phs000983

• UW TAN Study of Metastatic Urothelial Carcinoma

  Patients with metastatic urothelial carcinoma treated at our institution, who elected to undergo rapid autopsy at the time of death, are included in this study. These patients agreed to submit their tissue (normal samples for germline analysis [kidney or liver] as well as primary and metastatic tumor sites [urothelial carcinoma]) and the time of autopsy. Each patient signed consent to allow study of these tissues including histologic, sequencing (DNA/RNA), and implantation in to animals as able for future study.

  Study phs001797

• L1 Retrotransposon Sequencing in Schizophrenia - Study 1

  Schizophrenia (SZ) is a devastating psychiatric disorder with substantial global clinical and economic implications. While SZ is marked by high heritability, discovery of common variants associated with even moderate risk for SZ has proven difficult. We used Restriction Enzyme Based Enriched L1 sequencing (REBELseq) to amplify L1 retrotransposons in gDNA isolated from dorsolateral prefrontal cortex NeuN+ neuronal nuclei from 63 SZ cases and 63 controls. Amplified libraries were sequenced on the Illumina HiSeq 4000 platform, and sequencing data was analyzed with the REBELseq bioinformatics pipeline.

  Study phs001968

• FLG LoF Variants are Associated with Atopic Dermatitis in an Early-Life Prospective Cohort

  We performed targeted sequencing of the FLG gene in 438 children with physician-diagnosed Atopic Dermatitis (AD), identified Loss-of-Function (LoF) variants, and tested the association of having one or more of these variants (binary composite) variants with AD-associated outcomes. We found that having a LoF variant was associated with moderate-severe AD compared to mild AD, food allergy at the first visit, and higher transepidermal water loss (TEWL) in both lesional and non-lesional skin in these children.

  Study phs003489

• Establishment of Human Trophoblast Stem Cells from Term Smooth Chorion

  Human trophoblast stem (TS) cells, which were established from blastocysts and first-trimester placental villi, can differentiate into the all trophoblastic subtypes, extravillous trophoblast (EVT) cells and syncytiotrophoblast (ST) cells. We newly generated human TS cells from the term smooth chorion (Ch-TS cells). They has the potential to differentiate into both ST and EVT cells as same as human TS cells derived from early placental villi. The transcriptomic profile of Ch-TS cells is also similar to conventional human TS cells.

  Study JGAS000777

• Epigenome analysis of human trophoblast stem cells

  Trophoblast cells play an essential role in the interactions between the fetus and mother. Mouse trophoblast stem (TS) cells have been derived and used as the best in vitro model for molecular and functional analysis of mouse trophoblast lineages. However, attempts to derive human TS cells have so far been unsuccessful. In this study, we derived human TS cells from human blastocysts. Epigenome analysis revealed that the human TS cells maintained epigenome profiles similar to those of primary trophoblast cells. JGA submission accessions: JGA000122,JGA00000000122

  Study JGAS000112

• Identification of therapeutic target molecules for prostate cancer by using next generation sequencer

  Comprehensive transcriptional characterization of cancer tissues can reveal important molecular signatures associated with the disease progression. Long non-coding RNA (LncRNA) has a diversity of functions such as transcription, epigenetic and gene regulation in cancer cells including prostate cancer cells. Here, we performed directional RNA-sequence (RNA-seq) on clinical samples obtained from prostate cancer (PC) and lethal castration-resistant PC (CRPC) patients to identify novel molecular signatures including protein coding genes and non-coding RNAs induced in CRPC tissues.

  Study JGAS000198

• scRNA-seq of a 3D human cortical tissue model from human iPSCs exploring WT versus APP KI genotypes as well as Abeta/Aducanumab treatments

  Single-cell RNA-seq analysis of human iPSC-derived microglia/astrocytes/neurons in a novel, human in vitro 3D cortical tissue model across cell lines, distinct genotypes (WT and APP KI) and in presence of Abeta/Aducanumab treatments. Samples include distinct conditions as described in the Study section. The dataset was generated using the BD Rhapsody technology and sequenced paired-end with Illumina NovaSeqX. Information on the multiplexing of samples is reported in the Analyses section.

  Study EGAS50000001397

• RNA-seq of tumor samples from clear cell renal cell carcinoma patients included in the Translational Program of the NIVOREN GETUG-AFU-26 trial

  Study on RNA-seq data from tumor tissue samples of primary tumors of advanced clear cell renal cell carcinoma patients enrolled in the NIVOREN GETUG-AFU-26 trial who consented to and participated in the translational program. The goal of this study was to assess previously published gene expression signatures and evaluate their association with the benefit and/or resistance to nivolumab, as well as their association with circulating soluble factors.

  Study EGAS50000001057

• Genotyping from targeted NGS data based on a small set of SNPs correctly matches patient samples

  Mislabelling and swapping of laboratory samples are handling errors that can lead to erroneous interpretation of data and/or patient harm. Sequenced samples can be traced back to the respective donors by matching of single nucleotide polymorphisms (SNPs). Here we used sequencing data (targeted NGS) from two cohorts of patients with chronic lymphocytic leukaemia to demonstrate the possibility of selecting informative SNPs from a typical targeted NGS panel and to create an automated workflow for detection of sample handling errors.

  Study EGAS50000000532

• A Large-Scale, Consortium-Based Genomewide Association Study of Asthma

  We carried out a genomewide association study by genotyping 10,365 persons with physician-diagnosed asthma and 16,110 unaffected persons, all of whom were matched for ancestry. We used random-effects pooled analysis to test for association in the overall study population and in subgroups of subjects with childhood-onset asthma (defined as asthma developing before 16 years of age), later-onset asthma, severe asthma, and occupational asthma.

  Study EGAS00000000077

• IMMUcan Upstream SCCHN3 cohort

  The goal of IMMUcan is to understand how the immune system interacts with tumors and how therapeutic interventions influence this interaction. This cohort includes patients from the UPSTREAM trial, with squamous cell carcinoma of the head and neck (SCCHN) cancer which has spread (metastatic) or the tumour has come back after previous treatment (recurrent). Comprehensive profiling data are integrated with longitudinally collected clinical information. Cellular profiling of the same tumor samples was performed using multiplex immunofluorescence imaging, imaging mass cytometry, and H&E staining.

  Study EGAS50000001505

• Efficacy of asciminib in acute lymphoblastic leukaemia (ALL) patient derived NUP214::ABL1 xenografts.

  Study to assess the activity of the STAMP inhibitor asciminib against NUP214::ABL1 acute lymphoblastic leukaemia (ALL). mRNA-sequencing was performed on ALL patient samples to identify the NUP214::ABL1 gene fusion, determine the genomic breakpoint of the fusion and identify co-occurring mutations. Patient-derived xenografts (PDX) were established from three ALL patients (one T-cell ALL and two B-cell ALL) with NUP214::ABL1 disease and used to assess asciminib activity in vivo.

  Study EGAS50000000957

• Low T cell diversity is associated with poor outcome in bladder cancer - Bulk TCRseq data

  T cells are crucial effector cells in the endogenous defense against cancer, yet the clinical impact of their quantity, diversity, and dynamics remains underexplored. In this study we performed bulk TCRseq on tumor and serial blood samples from patients with muscle invasive (n patients = 119) or non-muscle invasive bladder cancer (n patients = 30). The goal was to investigate the clinical relevance of the blood and tumor TCR repertoire in patients with bladder cancer.

  Study EGAS50000000940

• Whole Genome Sequencing of HER2-Positive Metastatic Extramammary Paget’s Disease: A Case Report

  Extramammary Paget’s disease (EMPD) is a rare cancer that occurs within the epithelium of the skin. Whole genome sequencing of the tumor and matched blood was performed. Whole genome sequencing revealed the underlying copy number variation landscape in HER2-positive metastatic EMPD. The presence of alternative signalling pathways and genetic variants suggests potential interactions with HER2 signalling, which possibly contributed to the HER2 overexpression and observed response to HER2-directed therapy combined with other agents in a comprehensive treatment regimen.

  Study EGAS50000000243

• Transcriptomic Profiling of an Anti-PD-L1 Treated Cohort of Newly Diagnosed GBM Patients

  Checkpoint inhibitor therapy has limited efficacy in glioblastoma patient outcomes. This study involves RNA sequencing (RNA-seq) of newly diagnosed GBM patients treated with concurrent atezolizumab, radiation therapy, and temozolomide. By analyzing RNA-seq data from 39 tumors, the study aims to explore tumor transcriptomic features, including immune-based transcriptomic programs and immune infiltration, to understand their influence on PD-L1 blockade treatment efficacy and to identify which patients may benefit more from such therapy.

  Study EGAS50000000784

• Nanopore Sequencing in adults with autism spectrum disorder (ASD) without intellectual disability

  Nanopore whole-genome sequencing was performed on DNA from peripheral blood samples of 10 individuals with ASD and 10 sex- and age-matched non-autistic controls (NC). DNA preparation and sequencing was performed according to the Oxford Nanopore Technologies (ONT; Oxford, UK) manual “Ligation Sequencing gDNA V14 - human sample (N50 30 kb) on PromethION (SQK-LSK114)” (version GDH_9174_v114_revF_10Nov2022) using ONT R10.4.1 PromethION flow cells. Sequencing was performed on an ONT PromethION 2 Solo using ONT MinKNOW software. Base and modification calling as well as alignment was performed with the ONT dorado basecalling software v0.5.3 using the model dna_r10.4.1_e8.2_400bps_hac@v4.2.0 and flag --modified-bases 5mCG_5hmCG with GenBank GCA_0000001405.15 (GRCh38) as reference sequence. This dataset contains the resulting modBAMs (.bam file format) sorted and indexed using samtools (Danecek et al., 2021) with indexes in bam.bai file format.

  Dataset EGAD50000002495

• Microbiome

  16S-sequencing: All stool samples were processed according to the standards of the Flemish Gut Flora Project (Falony et al., 2016). All samples were processed together and sequenced in as a single batch (dual index run DI23R22) which included positive controls (PC, identical stool sample), negative controls (PCR-mix) and ‘blanks’ or negative controls of the extraction (no sample). In addition, a Runella strain (RS) was included to check for potential cross-contamination, as this strain is not present in human samples. The V4 region of the 16S rRNA gene was amplified with the primer pair 515F and 806R (GTGYCAGCMGCCGCGGTAA and GGACTACNVGGGTWTCTAAT, resp.), modified to contain a barcode sequence between each primer and the Illumina adaptor sequences to produce dual- barcoded libraries (Tito et al., 2019). Sequencing was performed on the Illumina MiSeq. Sequences were processed using the LotuS (Hildebrand et al., 2014) and DADA2 pipeline (Callahan et al., 2016) using RDP 16 as the reference taxonomy.

  Dataset EGAD50000002027

• DEPArray-based sorting of pure carcinoma and stromal populations from formalin-fixed paraffin-embedded (FFPE) tissues followed by shallow whole genome sequencing

  To overcome the challenges of low DNA yields, degraded DNA by formalin fixation and diluted signal of genomic aberrations by non-carcinoma components in the heterogeneous FFPE samples, we isolated pure carcinoma and stromal cells using the DEPArray™ NxT system, a microchip-based digital sorter that allows isolation of pure, homogeneous subpopulations of cells from FFPE samples. We isolated pure carcinoma and stromal cell populations from 12 FFPE tissues, including tissues from 9 primary and metastatic breast cancer and 3 primary ovarian high-grade serous carcinomas. This was followed by downstream shallow whole genome sequencing (WGS) for copy number landscape profiling for 10 samples. Seven out of 10 samples (even some with low tumour content or of old age) produced good quality genomic data, detecting sCNA in all carcinoma population samples but not in the stromal populations.

  Dataset EGAD50000001895

• DEPArray-based sorting of pure carcinoma and stromal populations from formalin-fixed paraffin-embedded (FFPE) tissues followed by shallow whole genome sequencing

  To overcome the challenges of low DNA yields, degraded DNA by formalin fixation and diluted signal of genomic aberrations by non-carcinoma components in the heterogeneous FFPE samples, we isolated pure carcinoma and stromal cells using the DEPArray™ NxT system, a microchip-based digital sorter that allows isolation of pure, homogeneous subpopulations of cells from FFPE samples. We isolated pure carcinoma and stromal cell populations from 12 FFPE tissues, including tissues from 9 primary and metastatic breast cancer and 3 primary ovarian high-grade serous carcinomas. This was followed by downstream shallow whole genome sequencing (WGS) for copy number landscape profiling for 10 samples. Seven out of 10 samples (even some with low tumour content or of old age) produced good quality genomic data, detecting sCNA in all carcinoma population samples but not in the stromal populations.

  Dataset EGAD50000001894

• DEPArray-based sorting of pure carcinoma and stromal populations from formalin-fixed paraffin-embedded (FFPE) tissues followed by shallow whole genome sequencing

  To overcome the challenges of low DNA yields, degraded DNA by formalin fixation and diluted signal of genomic aberrations by non-carcinoma components in the heterogeneous FFPE samples, we isolated pure carcinoma and stromal cells using the DEPArray™ NxT system, a microchip-based digital sorter that allows isolation of pure, homogeneous subpopulations of cells from FFPE samples. We isolated pure carcinoma and stromal cell populations from 12 FFPE tissues, including tissues from 9 primary and metastatic breast cancer and 3 primary ovarian high-grade serous carcinomas. This was followed by downstream shallow whole genome sequencing (WGS) for copy number landscape profiling for 10 samples. Seven out of 10 samples (even some with low tumour content or of old age) produced good quality genomic data, detecting sCNA in all carcinoma population samples but not in the stromal populations.

  Dataset EGAD50000001893

• DEPArray-based sorting of pure carcinoma and stromal populations from formalin-fixed paraffin-embedded (FFPE) tissues followed by shallow whole genome sequencing

  To overcome the challenges of low DNA yields, degraded DNA by formalin fixation and diluted signal of genomic aberrations by non-carcinoma components in the heterogeneous FFPE samples, we isolated pure carcinoma and stromal cells using the DEPArray™ NxT system, a microchip-based digital sorter that allows isolation of pure, homogeneous subpopulations of cells from FFPE samples. We isolated pure carcinoma and stromal cell populations from 12 FFPE tissues, including tissues from 9 primary and metastatic breast cancer and 3 primary ovarian high-grade serous carcinomas. This was followed by downstream shallow whole genome sequencing (WGS) for copy number landscape profiling for 10 samples. Seven out of 10 samples (even some with low tumour content or of old age) produced good quality genomic data, detecting sCNA in all carcinoma population samples but not in the stromal populations.

  Dataset EGAD50000001892

• DEPArray-based sorting of pure carcinoma and stromal populations from formalin-fixed paraffin-embedded (FFPE) tissues followed by shallow whole genome sequencing

  To overcome the challenges of low DNA yields, degraded DNA by formalin fixation and diluted signal of genomic aberrations by non-carcinoma components in the heterogeneous FFPE samples, we isolated pure carcinoma and stromal cells using the DEPArray™ NxT system, a microchip-based digital sorter that allows isolation of pure, homogeneous subpopulations of cells from FFPE samples. We isolated pure carcinoma and stromal cell populations from 12 FFPE tissues, including tissues from 9 primary and metastatic breast cancer and 3 primary ovarian high-grade serous carcinomas. This was followed by downstream shallow whole genome sequencing (WGS) for copy number landscape profiling for 10 samples. Seven out of 10 samples (even some with low tumour content or of old age) produced good quality genomic data, detecting sCNA in all carcinoma population samples but not in the stromal populations.

  Dataset EGAD50000001891

• DEPArray-based sorting of pure carcinoma and stromal populations from formalin-fixed paraffin-embedded (FFPE) tissues followed by shallow whole genome sequencing

  To overcome the challenges of low DNA yields, degraded DNA by formalin fixation and diluted signal of genomic aberrations by non-carcinoma components in the heterogeneous FFPE samples, we isolated pure carcinoma and stromal cells using the DEPArray™ NxT system, a microchip-based digital sorter that allows isolation of pure, homogeneous subpopulations of cells from FFPE samples. We isolated pure carcinoma and stromal cell populations from 12 FFPE tissues, including tissues from 9 primary and metastatic breast cancer and 3 primary ovarian high-grade serous carcinomas. This was followed by downstream shallow whole genome sequencing (WGS) for copy number landscape profiling for 10 samples. Seven out of 10 samples (even some with low tumour content or of old age) produced good quality genomic data, detecting sCNA in all carcinoma population samples but not in the stromal populations.

  Dataset EGAD50000001889