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• ATAC-seq

  ATAC-seq data for 26 CLL samples (7 controls, 19 tumor) of the CancerEpiSys-PRECiSe project.

  Dataset EGAD00001005967

• TARGET Trial Study Cohort

  In a randomized controlled clinical trial, investigators will compare the effects on [18F]-fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET/CT) from two treatment regimens in rheumatoid arthritis (RA) patients deemed methotrexate inadequate responders (MTX-IRs). Two common RA treatments will be compared: triple therapy (sulfasalazine, methotrexate, and hydroxychloroquine) versus tumor necrosis factor (TNF) inhibitor (etanercept or adalimumab, plus background methotrexate for all subjects and hydroxychloroquine for subjects who were taking this at screening). Consenting subjects will be screened for eligibility and randomized to a treatment arm. Subjects will be randomized to a treatment arm with either synthetic disease-modifying antirheumatic drugs (DMARDs) [triple therapy: sulfasalazine, methotrexate, and hydroxychloroquine] or biologic DMARDs [etanercept or adalimumab, plus background methotrexate for all subjects and hydroxychloroquine for subjects who were taking this at screening]. Once randomized, a baseline visit will be conducted with each subject. Baseline data collection includes questionnaires, disease activity score, and the first FDG-PET/CT imaging. After the baseline at week 0, subjects will visit with their rheumatologist at weeks 6, 12, 18, and 24 for safety labs and further collection of disease activity scores and questionnaires. The second FDG-PET/CT will be performed at week 24. Blood specimens will be collected at weeks 0, 6, 18, and 24 for bioassays. Subject participation will end after the week 24 visit. Patients and care providers will be unblinded. The FDG-PET/CT image readers will be blinded to treatment arm as well as timepoint of image acquisition.

  Study phs003720

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

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

  Dac EGAC50000000627

• Refractory Classic Hodgkins Lymphoma (cHL) sWGS

  Associated with the study: Blood-based Monitoring of Relapsed/Refractory Hodgkin Lymphoma Patients Predict Responses to Anti-PD-1 Treatment. 26 ctDNA Samples from 4 patients followed longitudinally. sWGS performed for copy number aberration (CNA) analysis.

  Dataset EGAD50000001163

• Chemotherapy induces myeloid-driven spatial T-cell exhaustion in ovarian cancer

  Gene expression profiles of single cells from 26 chemo-naïve and IDS tumor tissue and ascites samples from 17 HGSC patients

  Study EGAS50000000607

• dataset1

  Contains 14 control samples and 26 case samples.

  Dataset EGAD00001008576

• BLUEPRINT release August 2015, ChIP-Seq for CD8-positive, alpha-beta T cell, on genome GRCh38

  ChIP-Seq data for 5 CD8-positive, alpha-beta T cell sample(s). 26 run(s), 26 experiment(s), 26 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_chipseq_analysis_ebi_20150820

  Dataset EGAD00001001513

• Exome-wide mutation analysis of cell-free DNA to simultaneously monitor the full spectrum of cancer treatment outcomes

  Purpose: Cell-free DNA (cfDNA) offers a non-invasive approach to monitor cancer. Here we develop a method using whole-exome sequencing (WES) of cfDNA for simultaneously monitoring the full spectrum of cancer treatment outcomes, including MRD, recurrence, evolution, and second primary cancers. Experimental Design: Three simulation datasets were generated from 26 cancer patients to benchmark the detection performance of MRD/recurrence and second primary cancers. For further validation, cfDNA samples (n=76) from cancer patients (n=35) with six different cancer types were used for performance validation during various treatments.Results: We present a cfDNA-based cancer monitoring method, named cfTrack. Taking advantage of the broad genome coverage of WES data, cfTrack can sensitively detect MRD and cancer recurrence by integrating signals across known clonal tumor mutations of a patient. In addition, cfTrack detects tumor evolution and second primary cancers by de novo identifying emerging tumor mutations. A series of machine learning and statistical denoising techniques are applied to enhance the detection power. On the simulation data, cfTrack achieved an average AUC of 99% on the validation dataset and 100% on the independent dataset in detecting recurrence in samples with tumor fraction ≥0.05%. In addition, cfTrack yielded an average AUC of 88% in detecting second primary cancers in samples with tumor fraction ≥0.2%. On real data, cfTrack accurately monitors tumor evolution during treatment, which cannot be accomplished by previous methods.Conclusion: Our results demonstrated that cfTrack can sensitively and specifically monitor the full spectrum of cancer treatment outcomes using exome-wide mutation analysis of cfDNA.

  Study EGAS00001005906

• Single cell transcriptomics of human adrenal gland reveal chromosomal alterations in adrenocortical cells

  Adrenocortical cells get replenished throughout our lifetime and as such they are a cellular population of high interest in relation to adrenocortical tumours. Single cell transcriptomics of human adrenal gland were performed to identify rare subpopulations of cells, dynamics of cellular turnover and clone expansions in the adrenal cortex. The adrenal gland of this particular individual is characterized by the presence of mutant clone charecterized by aneuploidy in chromosomes 8, 9, 13 and 22, occupying the zona glomerulosa and zona fasciculata. Differential expression analysis of the mutant cells revealed upregulation of MC2R (adrenocorticotropic hormone receptor), CYP21A2, HSD3B2 genes (enzymes involved in cortisol production). Overall, this donor sample is an example of clonal tissue expansions carrying chromosomal rearrangements that likely impact organ morphology and function but are seemingly benign.

  Study EGAS00001007488

• Research in Adaptive Interests, Skills, and Environment

  The Research on Adaptive Interest, Skills, and Environments (RAISE) project is a coordinated set of pilot studies funded and otherwise supported by the Center for the Study of Adolescent Risk and Resilience (C-StARR) at Duke University. The initial data collection effort (Adolescent T1; 2015; NAHDAP 100737) was conducted by telephone and focused on self-regulation and related skills during early adolescence and their role in early instances of health risk behavior. The survey was comprised of brief measures of constructs in six areas of interest to C-StARR investigators: (1) background and home environment; (2) self-regulation and personality; (3) physical and mental health; (4) problem behaviors; (5) academics and school; and (6) technology use. The representative sample of 2104 adolescents was drawn from the population of fifth through eighth graders enrolled in North Carolina public schools during the 2014-2015 school year.In 2016, a subsample of 395 participants from the Adolescent T1 survey (selected on the basis of having resided within 100 miles of study personnel hubs in Durham, North Carolina and Sylva, North Carolina) participated in an additional home visit study that involved the collection of biological data and measures of cognitive ability and executive functioning. The molecular data made available to dbGaP were obtained from saliva samples that were collected (a) in person from 377 of 395 home visit study participants and (b) by mail from 60 participants who had participated in the Adolescent T1 survey but had not participated in the home visit study. The resulting data file was imputed to a 1000G phase 3 panel and is comprised of N = 437 individuals and 7,193,135 markers after filtering. Data were filtered with MAF ≥ 0.01, HWE p-value > 10-6, and genotype rate > 95%.

  Study phs003982