10119 results for "cancer rna-seq"

in 19.26 milliseconds.

• Molecular characterization of Barrett’s esophagus at single cell resolution

  Backgrounds & Aims: Patient with Barrett’s esophagus (BE) have an increased risk to develop esophageal adenocarcinoma and are under periodical endoscopic surveillance for malignant transformation. Pathologists distinguish between different BE stages to identify high-risk patients, but this process remains difficult as stage-specific markers are still missing. We established BE organoid cultures, applied single cell sequencing approaches to identify differences in gene expression and genomic alterations, and validated candidate genes for their predictive value on histological sections. Methods: We collected 43 epithelial biopsies from 21 patients, established organoids for the clonal expansion of matching healthy and diseased tissue from two patients to identify genomic alterations by whole genome sequencing (WGS). We performed single cell DNA-sequencing (scDNAseq) to analyse DNA alterations within biopsies from 8 patients and single cell RNA-sequencing (scRNAseq) to identify gene expression differences between BE stages from 19 patients. Candidate marker genes were then validated by RNA in situ hybridization experiments on histological resection specimen. Results: Most BE biopsies were chromosomal stable (CS) and their single base substitution (SBS) signatures were indistinguishable from the healthy control tissues. Dysplastic BE cells contained areas of chromosomal instabilities (CIN), which differed by the presence of the SBS17 signatures from biopsy-matching CS cells or patient-matching healthy control cells. Such CIN areas affected efficient clustering of the scRNAseq data. We identified two sets of marker genes (SLC5A5, PSCA, LIPF and ANPEP, CEACAM6, REG4), which distinguish columnar BE epithelium from non-dysplastic/dysplastic stages. CLDN2 allowed the distinction between dysplastic and more advanced stages as its expression level increased and spread in dysplastic BE glands. Conclusions: Molecular characterization of BE samples identified a correlation between the presence of CIN and COSMIC signature 17, and we report seven marker genes that help in distinguishing different BE stages.

  Study EGAS00001005221

• CGP_CORE_CELL_LINES___RNA_seq

  Graham to complete

  Study EGAS00001000828

• A Cancer Cell-Line Titration Series for Evaluating Somatic Classification

  Study EGAS00001001016

• A machine learning classifier for DNA repair defects using plasma DNA

  Study EGAS00001007006

• Cell-to-cell variability in Myc dynamics drives transcriptional heterogeneity in cancer cells

  Study EGAS00001007091

• Genomic Landscape of Follicular Lymphoma Across a Wide Spectrum of Clinical Behaviors

  Study EGAS00001007105

• Transcriptomic profiling of patient-derived xenografts and organoids in prostate cancer

  Study EGAS00001004675

• Measuring minimal residual disease in acute myeloid leukemia with MASQ

  Study EGAS00001003732

• Association of DNA-methylation profiles with immune responses in breast cancer patients

  Study EGAS00001004211

• Whole exome sequencing of chemotherapy-resistant muscle-invasive urothelial bladder cancer

  Study EGAS00001004231

• The data access committee for Detecting Liver Cancer Using Cell-Free DNA Fragmentomes

  Dac EGAC00001003279

• AGECAN - Interespecies conservation of brain specific DNA methylation in aging and cancer

  Study EGAS00001004851

• Selective Elimination of Immunosuppressive T cells in Patients with Multiple Myeloma

  Study EGAS00001004915

• Initial cohort of 500 solid tumors screened for Basket of Baskets

  Study EGAS00001005893

• The University of Hong Kong Gastric Cancer Exome Sequencing Project Data Access Committee

  Dac EGAC00001000032

• Cancer genomics project, the University of Tokyo Data Access Committee

  Dac EGAC00001000087

• DAC for the study of response to EGFR Blockade in Colorectal Cancer

  Dac EGAC00001000360

• Data access committee of the Prostate Cancer Research Center, University of Tampere, Finland.

  Dac EGAC00001000423

• UT MD Anderson Cancer Center Department of Genomic Medicine Lipoasarcoma Data Access Committee

  Dac EGAC00001000821

• The evolutionary history of human colitis-associated colorectal cancer

  Dac EGAC00001000917

• DAC for study: Frequent mutation of the FOXA1 untranslated region in prostate cancer

  Dac EGAC00001000962

• Age-related remodeling of apparently normal esophageal epithelia by common cancer drivers

  Dac EGAC00001001067

• DAC for study: Evaluation of commercial Guardant360 ctDNA test in metastatic prostate cancer

  Dac EGAC00001001082

• Immune and Metabolic Features of Brain Metastases Melanoma (Cancer Discovery) Data Access Committee

  Dac EGAC00001001216

• Mutational Study Committee of a Taiwanese Lung Cancer Cohort (MSCTLCC)

  Dac EGAC00001001614