5246 results for "*oma"

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• Genome and transcriptome sequence data from a metastatic sebaceous gland carcinoma patient

  Genome and transcriptome sequence data from a metastatic sebaceous gland carcinoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001015899

• Genome and transcriptome sequence data from a cervical squamous carcinoma patient

  Genome and transcriptome sequence data from a cervical squamous carcinoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001015900

• Genome and transcriptome sequence data from a adenocarcinoma of the lung patient

  Genome and transcriptome sequence data from a adenocarcinoma of the lung patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001015902

• Genome and transcriptome sequence data from a metastatic poorly differentiated (likely basaloid squamous cell) carcinoma of unknown primary patient

  Genome and transcriptome sequence data from a metastatic poorly differentiated (likely basaloid squamous cell) carcinoma of unknown primary patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001015904

• Genome and transcriptome sequence data from a metastatic rectal adenocarcinoma patient

  Genome and transcriptome sequence data from a metastatic rectal adenocarcinoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001015906

• Genome and transcriptome sequence data from a lung squamous cell carcinoma patient

  Genome and transcriptome sequence data from a lung squamous cell carcinoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001015907

• RNAseq and WES of CHC patients years before HCC development

  We conducted a nested case–control study within a prospective liver biopsy biobank at the University Hospital Basel. Patients with chronic hepatitis C (CHC) who developed hepatocellular carcinoma (HCC) during follow-up (index cases, CHC-HCC) were identified and 1:2 propensity score-matched to CHC controls without HCC (controls, CHC-nonHCC). Matching included clinical, demographic, and virological risk factors for HCC. Liver biopsies were analyzed using RNA and whole-exome sequencing.

  Dataset EGAD50000001591

• Genome and transcriptome sequence data from a adenocarcinoma, non-small cell lung cancer patient

  Genome and transcriptome sequence data from a adenocarcinoma, non-small cell lung cancer patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016149

• Genome and transcriptome sequence data from a adenocarcinoma of the duodenum patient

  Genome and transcriptome sequence data from a adenocarcinoma of the duodenum patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016150

• Genome and transcriptome sequence data from a rectal adenocarcinoma patient

  Genome and transcriptome sequence data from a rectal adenocarcinoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016151

• Genome and transcriptome sequence data from a esophageal adenocarcinoma patient

  Genome and transcriptome sequence data from a esophageal adenocarcinoma patient,generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001016152

• snRNA sequencing of high-grade pancreatic neuroendocrine carcinoma (panNEC)

  High-grade pancreatic neuroendocrine carcinoma (panNEC) is a rare, aggressive cancer with limited tissue availability. Single-nucleus transcriptomics of five large-cell panNECs revealed two interesting neuroendocrine cell states: one highly proliferative with an aberrant brain-specific neuronal differentiation program and another stress-responsive state enriched for heat stress, hypoxia, and glycolysis. Our findings suggest potential therapeutic vulnerabilities, highlighting the need to evaluate the efficacy of combination therapies.

  Dataset EGAD00001016154

• GBM-Space: Whole Genome Sequencing of Laser Capture Microdissected Glioblastoma (LCM-WGS)

  Cancer cells display heterogeneous and dynamic states in glioblastoma, but how these malignant states arise and whether they follow a tractable cellular trajectory across tumours is poorly understood. Here, we generate a deep single cell and spatial multi-region atlas of 12 isocitrate dehydrogenase wild-type (IDH-wt) primary glioblastomas that integrates transcriptomic, epigenomic and genomic analysis to comprehensively characterise their tumour heterogeneity. This dataset contains whole genome sequencing (WGS) data generated from regions of interest (ROIs) collected via laser capture microdissection (LCM), towards identifying copy number alterations and subclones directly at the DNA level.

  Dataset EGAD00001016155

• Targeted DNA sequencing of 60 non-Hodgkin lymphoma biopsies using a custom gene panel for hematological malignancies: raw (FASTQ) data

  Targeted DNA sequencing was performed on 60 non-Hodgkin lymphoma (NHL) samples using a custom next-generation sequencing panel targeting the coding regions of 190 genes recurrently mutated in hematological malignancies. Libraries were sequenced on an Illumina NovaSeq 6000 platform using 2 × 150 bp paired-end reads. The dataset includes the raw sequencing data (FASTQ files) for all 60 samples.

  Dataset EGAD50000002845

• scRNAseq and spatial transcriptomics data of melanoma samples

  Paired-end 10x single-cell RNA sequencing and Visium spatial transcriptomics data from samples derived from 11 melanoma patients. Sequencing was performed on the Illumina NovaSeq 6000 using 10xGenomics Chromium Next GEM Single-Cell 5 Reagent Kits v2 or 10xGenomics Visium Gene Expression kit.

  Dataset EGAD50000002902

• RNA-seq of adult T-cell leukemia-lymphoma patient-derived xenograft (PDX) models treated with the MALT1 protease inhibitor CRD-1441551

  To elucidate the therapeutic effect of MALT1 protease inhibition in adult T-cell leukemia/lymphoma (ATL), we performed RNA-seq on tumor tissues from five ATL patient-derived xenograft (PDX) models. NOG mice engrafted with each PDX model were treated with the MALT1 protease inhibitor CRD-1441551 or vehicle for 21 days, in biological triplicate (n = 3 per condition; 30 samples in total). Mouse-derived reads were removed and the remaining human reads were aligned to the human reference genome (hg19). These data underlie the gene-expression analyses reported in the associated publication.

  Study JGAS000921

• Impact of Mutated CTCF DNA binding sites of Topologically associating domains on nearby Cancer Gene Regulation: A Multi-Omics Analysis

  Cutaneous squamous cell carcinoma (cSCC) is the most common lethal malignancy world-wide. Due in most part to the extremely high mutational burden (TMB) in cSCC, making sense of it’s non-coding and regulatory regional genomic variation has lagged that of other far less common cancers. This study presents the first investigation of mutations at CCCTC-binding factor binding sites (CTCFbs) of Topologically associating domains (TAD) across defined cSCC progression stages—primary non-metastatic (PNM), primary metastat-ic (PM), and lymph node metastasis (LNM).

  Study EGAS50000001686

• CTCF Binding Site Mutations: Linking Topologically Associated Domains Dysregulation to Cutaneous Squamous Cell Carcinoma Progression

  Fresh tumor tissue from nodal metastases (n = 41) was harvested during surgery and immediately snap-frozen. A total of 72/75 cSCC, WGS samples were included in the analysis (refer to QC section), comprising primary tumors (both metastatic (PM (n = 16)) and non-metastatic (PNM (n = 15)), as well as lymph node metastases (LNM (n = 41)). The metastatic cohort included matched PM and LNM samples for 13 patients. The PNM group had to meet the following criteria: absence of metastases at > 24 months follow-up after resection of the primary or negative sentinel lymph node biopsy at time of resection or histologically negative neck dissection. Somatic variant analysis was performed using DRAGEN pipeline version 4.3.6 on the Illumina Connected Analytics (ICA) v2 environment using in house shell scripting. Tumor-normal paired analyses were carried out in three stages: alignment, variant calling, and integrative somatic analysis. Further information on the somatic calling is available at https://help.dragen.illumina.com/product-guides/dragen-v4.3/dragen-dna-pipeline/small-variant-calling/somatic-mode.

  Dataset EGAD50000002416

• IMC-F106C-101 dose escalation

  Brenetafusp is an ImmTAC bispecific (PRAME×CD3) targeting the cancer testis antigen PRAME. In this phase 1 study (NCT04262466), 126 HLA-A*02:01+ patients with advanced solid tumors received weekly IV doses from 0.3-320 mcg. The primary objective was to identify the maximum tolerated dose (MTD) or recommended phase 2 dose (RP2D); additional objectives included pharmacokinetics, pharmacodynamics, and preliminary anti-tumor activity. Brenetafusp demonstrated manageable safety and preliminary efficacy in PRAME+ tumors. A phase 3 trial in metastatic cutaneous melanoma is ongoing

  Study EGAS50000001976

• RNA-seq for "A preinvasive regulatory T cell axis for lung cancer interception" paper

  Bulk RNA sequencing data generated from primary resected non-small cell lung cancer (NSCLC) tumour tissue collected through the ASCENT study (Analysis of Screen-Detected Lung Cancers’ Genomic Traits; NCT04204499). The dataset comprises tumour RNA-seq from 89 patients with CT screen-detected NSCLC, predominantly early-stage disease, including lung adenocarcinoma and lung squamous cell carcinoma. The RNA-seq data were used to characterise tumour-immune transcriptional programmes and were analysed alongside matched peripheral blood immune profiling and clinical follow-up data.

  Dataset EGAD50000002852

• LUAD RNAseq – LORD

  RNA-seq data from paired normal and adenocarcinoma lung samples obtained from 515 patients that underwent lung cancer surgery.

  Study EGAS50000001705

• LUAD RNAseq - LORD

  The Lung Oncology Research and Discovery (LORD) program is a multi-omics translational initiative aimed at advancing precision medicine in lung cancer. It builds on a lung tissue biobank and leverages biological samples collected from patients who underwent lung cancer surgery at the IUCPQ-UL (Quebec City, Canada). LORD is therefore a single-site, retrospective, case-only study. Genomic profiling of biobanked samples is ongoing, with samples being analyzed sequentially in phases defined by sample type and omic modality. For this dataset, we provide RNA-seq data from paired normal and adenocarcinoma lung samples obtained from 515 patients.

  Dataset EGAD50000002450

• Projet LORD- LUAD RNAseq data

  RNAseq data from paired samples of non affected lung parenchyma and Lung adenocarcinoma (LUAD) from 515 patients surgically intervened at the Institut universitaire de cardiologie et de pneumologie de Québec- Université Laval

  Dac EGAC50000000846

• ICGC Oesophageal adenocarcinoma - 100 tumour samples

  The oesophageal project will focus on adenocarcinoma which is increasing in incidence in the UK and other developed countries and has a very poor outcome. The primary aims of this project are to deeply sequence tumour and normal genomic DNA (including the precursor condition Barrett’s oesophagus when material is available) to provide a comprehensive catalogue of somatic mutations. This will be achieved through a UK-wide network of hospitals involved in a research collaboration called the OCCAMS consortium. The goal of this project is to use high quality clinical material with accurately annotated clinic-pathological, treatment and outcome data.

  Study EGAS00001000724

• ICGC Oesophageal adenocarcinoma - tumour samples

  The oesophageal project will focus on adenocarcinoma which is increasing in incidence in the UK and other developed countries and has a very poor outcome. The primary aims of this project are to deeply sequence tumour and normal genomic DNA (including the precursor condition Barrett’s oesophagus when material is available) to provide a comprehensive catalogue of somatic mutations. This will be achieved through a UK-wide network of hospitals involved in a research collaboration called the OCCAMS consortium. The goal of this project is to use high quality clinical material with accurately annotated clinic-pathological, treatment and outcome data.

  Study EGAS00001000725