4079 results for "*geneti*"

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• Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma.

  follicular lymphoma (FL), the most common indolent non-Hodgkin’s lymphoma, remains incurable. A well-recognized complication of FL is its transformation to a diffuse large B-cell lymphoma (DLBCL)-morphology in a subset of patients, for which the clinical outcomes are poor. Recent genetic profiling and single case studies of donor-derived FL following stem cell transplantation had alluded to the putative existence of a ‘long lived’ tumor-initiating progenitor cell compartment from which successive disease events occurred. To chronicle the genetic changes associated with progression to transformation, we conducted whole-genome sequencing (WGS) of FL-tFL pairs and matched germline (GL) samples from six patients, a total of 20 genomes.

  Study EGAS00001000399

• Whole exome and RNA sequencing of organoid samples derived from TRACERx patients

  Immune checkpoint blockade in non-small cell lung cancer (NSCLC) rarely leads to complete tumour remission, suggesting that tumours harbour subpopulations of cancer cells that can escape immune predation. However, while tumours consist of multiple genetically distinct clones, the extent to which separate tumour subclones differ intrinsically in their functional capacity for immune evasion remains largely unexplored. This has been challenging to address due to an inability to isolate and propagate individual tumour subclones from human cancers. Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived platform that allows the functional analysis of immune escape at single clone resolution. We generated libraries of >20 separate NSCLC organoid lines per patient by isolating individual (clonal) organoids established from multiple spatially separated tumour regions. Each organoid subline was co-cultured with autologous tumour infiltrating lymphocytes (TIL) to evaluate their capacity to elicit a T cell response. Organoid lines derived from separate tumour regions, or from single clones within individual regions, differ vastly in their capacity to elicit a T cell response, showing the coexistence of intrinsically immune evading (‘hot’) and non-evading (‘cold’) clones in the same primary tumour. Organoid lines escaping T cell recognition represent genetically and transcriptionally unique subclones with a distinct evolutionary history, showing that evolutionary sculpting of subclonal diversity can have functional consequences for anti-tumour immunity. Notably, the identification of immune-evasive subclones would not have been possible using computational approaches alone, highlighting the unique value of functional co-culture platforms. This patient-derived functional co-culture platform reveals that tumour evolution can give rise to distinct cancer clones with intrinsic differences in immune evasion capacity and provides an approach to prospectively identify, isolate and characterise immune evading subclones from patients with cancer.

  Study EGAS00001008092

• Sequencing_probands_and_families_with_severe_insulin_resistance_syndromes

  This is an ongoing project and continuation to all the sequencing we have been doing over the last few years. We have some additional families and probands with syndromes of insulin resistance not previously sequenced within uk10k or other core funded projects. We would like to complete the sequencing in all of the good quality families and probands we have, this would require another ~50 samples to be WES sequenced. This cohort has already proven to be a rich source of interesting findings with papers in Science and Nature genetics.

  Study EGAS00001000488

• Raw bulk TCRseq data fromTIL and non-TIL expanded TRACERx samples in the manuscript Bulk TCRseq from TRACERx samples from 'Subclonal immune evasion in non-small cell lung cancer'

  Immune checkpoint blockade in non-small cell lung cancer (NSCLC) rarely leads to complete tumour remission, suggesting that tumours harbour subpopulations of cancer cells that can escape immune predation. However, while tumours consist of multiple genetically distinct clones, the extent to which separate tumour subclones differ intrinsically in their functional capacity for immune evasion remains largely unexplored. This has been challenging to address due to an inability to isolate and propagate individual tumour subclones from human cancers. Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived platform that allows the functional analysis of immune escape at single clone resolution. We generated libraries of >20 separate NSCLC organoid lines per patient by isolating individual (clonal) organoids established from multiple spatially separated tumour regions. Each organoid subline was co-cultured with autologous tumour infiltrating lymphocytes (TIL) to evaluate their capacity to elicit a T cell response. Organoid lines derived from separate tumour regions, or from single clones within individual regions, differ vastly in their capacity to elicit a T cell response, showing the coexistence of intrinsically immune evading (‘cold) and non-evading (‘hot) clones in the same primary tumour. Organoid lines escaping T cell recognition represent genetically and transcriptionally unique subclones with a distinct evolutionary history, showing that evolutionary sculpting of subclonal diversity can have functional consequences for anti-tumour immunity. Notably, the identification of immune-evasive subclones would not have been possible using computational approaches alone, highlighting the unique value of functional co-culture platforms. This patient-derived functional co-culture platform reveals that tumour evolution can give rise to distinct cancer clones with intrinsic differences in immune evasion capacity and provides an approach to prospectively identify, isolate and characterise immune evading subclones from patients with cancer.

  Study EGAS00001008118

• Duplex sequencing in NF2-related schwannomatosis

  Background: Schwannomatosis (SWN) is a rare tumor predisposition syndrome caused by pathogenic variants in NF2, SMARCB1, or LZTR1. Mosaicism contributes to up to 30% of de novo NF2-related cases, but its role in SMARCB1- and LZTR1-related SWN remains unclear. Accurate molecular classification is critical for clinical management, yet overlapping phenotypes complicate diagnosis. Because standard diagnostics have limited sensitivity and often require tumor tissue, we evaluated whether ultra-sensitive duplex sequencing of blood-derived DNA improves mosaic variant detection in SWN. Methods: We developed a duplex sequencing assay targeting NF2, SMARCB1, and LZTR1 and analyzed 102 individuals with suspected SWN previously negative for constitutional pathogenic variants, along with 35 controls. Results: Duplex sequencing identified low-level mosaic NF2 pathogenic variants in 11% of cases (11/102), with variant allele frequencies as low as 0.06%. In all patients with available tumor material (8/11), blood and tumor findings were concordant. No mosaic pathogenic variants were detected in SMARCB1 or LZTR1. Controls showed no deleterious variants except one LZTR1 splice-site variant. Conclusions: Duplex sequencing enables robust detection of ultra-low-frequency NF2 variants in SWN and complements existing diagnostic workflows. This approach may reduce dependence on tumor tissue in NF2-related SWN, improve differential diagnosis, and support patient management and genetic counseling.

  Study EGAS00001008298

• Evolutionary analysis of pancreatic cancer and coexistent precursor lesions using whole exome sequencing data

  Most adult carcinomas develop from noninvasive precursor lesions, a progression that is supported by genetic analysis. Further, the evolution of these lesions contextualizes the dynamics of advanced stage disease. We analyzed the somatic variants of co-existing pancreatic cancers and precursor lesions sampled from distinct regions of the same pancreas. After inferring evolutionary relationships, we found that the ancestral cell had initiated and clonally expanded to form one or more lesions, and that subsequent driver gene mutations eventually led to a pancreatic cancer. We also found that this multi-step progression generally spans many years. Our data suggest that independent, high-grade pancreatic lesions observed in a histologic cross section often represent a single neoplasm that can spread and colonize the ductal system, accumulating spatial and genetic divergence over time.

  Study EGAS00001002778

• Transcriptional and translational alterations induced by BET protein inhibition and its combination with Omaveloxolone in acute myeloid leukemia

  The inhibition of bromodomain and extra-terminal domain (BET) protein family achieved promising preclinical results as epigenetic therapy in acute myeloid leukemia (AML). However, clinical data showed a limited activity of bromodomain inhibitor (BETi) as single agent. We aimed to investigate the role of hypoxia in the response of AML cells to BET inhibition in order to identify a novel therapeutic combination targeting leukemia stem-progenitor cells (LSPCs) in their niche. BETi maintained an anti-proliferative and pro-apoptotic activity at low oxygen concentration by modulating the leukemic transcriptional, translational and metabolic programs towards reduced ribosome biogenesis, altered polyamine metabolism and activation of a TNF- via NF-B signature at translational level, especially in hypoxic conditions. Accordingly, Omaveloxolone, a clinical-stage NF-B inhibitor and NFR2 activator approved for Friedreich’s ataxia, significantly enhanced the efficacy of BETi against AML cell lines in hypoxia and normoxia by reducing cell viability and enhancing apoptosis. At molecular level, the drug combination converged to the downregulation of MYC, the DNA replication and oxidative phosphorylation signatures while forcing the expression of antioxidant genes. Overall, the combination of BETi and Oma disrupts key metabolic and transcriptional programs essential to AML cell survival and LSPC maintenance in the hypoxic microenvironment.

  Study EGAS00001008404

• HER2_positive_Breast_Cancer_

  We propose to definitively characterise the somatic genetics of HER2+ve breast cancer through generation of comprehensive catalogues of somatic mutations in a number of cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.

  Study EGAS00001000042

• Genomic and fragmentomic landscapes of cell-free DNA in aging and disease

  Genome-wide analyses of cell-free DNA (cfDNA) are beginning to be used for non-invasive disease diagnosis, but these approaches have not been explored for detection of aging-related diseases. We used low coverage whole genome sequencing (1-2x) to assess variation in cfDNA fragmentomes across 1446 individuals of varying ages with different comorbidities and genetic risk profiles. Analysis of cfDNA fragment characteristics revealed changes in overall concentration and size distributions, as well as alterations in genome-wide fragmentation profiles, chromosomal representation, repeat element landscapes, end-positions, and coverage at epigenetic regions in the circulation of aging individuals. cfDNA fragmentome characteristics were uniquely altered in a variety of human morbidities, including vascular, neurologic, and inflammatory diseases, and were independent predictors of patient outcomes in separate prospectively collected discovery (n=570) and validation (n=231) cohorts. cfDNA fragmentome-based analyses detected Alzheimer’s disease in aging individuals with varying germline risk profiles (n=645). These results identify changes in cfDNA fragmentomes in aging populations and highlight the potential of cfDNA liquid biopsies to provide snapshots of an individual’s physiologic state in health and disease.

  Study EGAS00001008470

• Multi-omics integration reveals only minor long-term molecular and functional sequelae in immune cells of individuals recovered from COVID-19

  The majority of COVID-19 patients experience mild to moderate disease course and recover within a few weeks. An increasing number of studies characterized the long-term changes in the specific anti-SARS-CoV-2 immune responses, but how COVID-19 shapes the innate and heterologous adaptive immune system after recovery is less well known. To comprehensively investigate the post-SARS-CoV-2 infection sequelae on the immune system, we performed a multi-omics study by integrating single-cell RNA-sequencing, single-cell ATAC-sequencing, genome-wide DNA methylation profiling, and functional validation experiments in convalescent COVID-19 and healthy individuals. We showed that immune responses generally recover without major sequelae after COVID-19. However, subtle differences persist at the transcriptomic level in monocytes, with downregulation of the interferon pathway, while DNA methylation also displays moderate changes in convalescent COVID-19 individuals. However, these differences did not affect the cytokine production capacity of PBMCs upon different bacterial, viral, and fungal stimuli, although baseline release of IL-1RA and IFN?? was higher in convalescent individuals. In conclusion, despite minor differences in epigenetic and transcriptional programs, the immune system of convalescent COVID-19 patients largely recovers to the homeostatic level of healthy individuals.

  Study EGAS00001005529