5522 results for "*oma"

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• Genome and transcriptome sequence data from a metastatic sarcomatoid carcinoma of the lung patient

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

  Dataset EGAD00001004933

• Genome and transcriptome sequence data from a squamous cell carcinoma of the alveolar ridge patient

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

  Dataset EGAD00001004934

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

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

  Dataset EGAD00001004936

• RNA-sequencing of adult T-cell leukemia/lymphoma sample

  This dataset includes 10 RNA-sequencing (RNA-seq) data for 9 primary tumors and 1 cell line from adult T-cell leukemia/lymphoma (ATL).

  Dataset EGAD00001004937

• Tumor-derived cell lines as pharmacogenomic models to predict therapeutic vulnerabilities in hepatocellular carcinoma

  Hepatocellular carcinoma (HCC) is a heterogeneous aggressive malignancy with low efficacy of current therapies at advanced stages. We integrated molecular and pharmacological profiling of a large panel of liver cancer cell lines (LCCL) to assess their clinical relevance as HCC preclinical models and identify new effective therapies and biomarkers of response. Here, we performed multi-omic analysis including whole-exome, RNA and microRNA sequencing in a series 34 LCCL. Molecular profiles of LCCL and primary HCC were compared and we searched for molecular features associated with drug response. Our panel of LCCL faithfully recapitulated the most aggressive molecular “proliferation class” of HCC.

  Dataset EGAD00001004938

• Mucoepidermoid carcinoma- normals

  Whole exome sequencing data for 18 mucoepidermoid carcinoma samples. The samples were used for Illumina TruSeq library construction and captured using Agilent V4 exome panel. The PE fastq files are provided.

  Dataset EGAD00001004946

• Small-molecule inhibitors in melanoma - Kenski / Kong - WES (2019-04-11)

  Small-molecule inhibitors targeting the most commonly activated pathway in melanoma, MAPK pathway (either alone or in combination) are already given to melanoma patients for few years, and initially reduce tumour burden dramatically, eventually melanomas become resistant and tumours progress while on treatment. Resistance to this treatment occurs by acquisition of additional mutations or other alterations that affect the mitogen-activated protein kinase (MAPK) pathway by either direct or indirect signalling. Many resistance mechanisms somehow lead to reactivation of extracellular signal-regulated kinase (ERK), thereby restoring signalling of the oncogenic BRAF/MEK/ERK pathway. In addition, PI3K pathway activation contributes to resistance to BRAF inhibition. Less frequent but equally important to the phenomenon of targeted drug resistance is the observation that B15-20% of BRAF mutant melanoma patients fail to respond to BRAF inhibition already early on treatment, owing to intrinsic resistance. These patients have little therapeutic options, unless immunotherapy can be given. To better understand the resistance mechanisms in MAPK inhibitor-treated melanoma patients and melanoma biology, our lab generated a big panel of MAPK inhibitor resistant melanoma cell lines by continuous drug exposure. The understanding of the genetic landscape and gene expression as well as cross resistance to other treatment regimens, and other aspects of melanoma biology such as phenotype switch, will allow us to better exploit new therapeutic strategies for melanoma patients. . This dataset contains all the data available for this study on 2019-04-11.

  Dataset EGAD00001004952

• Hi-C datasets of primary glioblastoma cultures

  High-resolution (Sub-5 kbp resolution) Hi-C datasets generated using glioblastoma primary cultures from 3 different adult patients.

  Dataset EGAD00001004968

• Highly recurrent U1 snRNA mutations drive alternative splicing in SHH medulloblastoma

  Highly recurrent U1 snRNA mutations drive alternative splicing in HH medulloblastoma

  Dataset EGAD00001004958

• multiple-region preneoplasia lung adenocarcinoma

  multi-region exome sequencing of 116 pulmonary nodules including lung preneoplasia atypical adenomatous hyperplasia (AAH, N=22), adenocarcinoma in situ (AIS, N=27), minimally invasive adenocarcinoma (MIA, N=54) and invasive lung adenocarcinoma (ADC, N=13).

  Dataset EGAD00001004960

• Multi-region sequencing of colon tumour biopsies and matched normals

  Dataset of adenoma and colon cancer multi-region sequencing. Publication: Nat Ecol Evol. 2018 Oct;2(10):1661-1672. doi: 10.1038/s41559-018-0642-z. Epub 2018 Aug 31.

  Dataset EGAD00001004966

• VCF files of Roma and non-Roma Romanians

  VCF files with whole genome sequencing data of 49 individuals of European/Romanian descent, and 50 individuals of Roma (Romani/Rroma) ethnic background from Romania.

  Dataset EGAD00001004982

• BAM files of Roma and non-Roma Romanians

  BAM files (Illumina HiSeq 2000) with whole genome sequencing data of 49 individuals of European/Romanian descent, and 50 individuals of Roma (Romani/Rroma) ethnic background from Romania.

  Dataset EGAD00001004981

• Molecular Profiling Reveals Unique Immune and Metabolic Features of Melanoma Brain Metastases. Cancer Discovery doi: 10.1158/2159-8290. PMID: 30787016 PMCID: PMC6497554

  The BAM files for WES and RNA seq used in the article "Molecular Profiling Reveals Unique Immune and Metabolic Features of Melanoma Brain Metastases." on cancer Discovery 2019. PMID: 30787016 PMCID: PMC6497554. Authors : Grant M Fischer, ..., Michael A Davies.

  Dataset EGAD00001005046

• Comprehensive single cell study of lung adenocarcinoma from early to metastatic stages

  We performed single cell RNA sequencing (scRNA-seq) for 208,506 cells derived from 58 lung adenocarcinomas from 44 patients, which covers primary tumour, lymph node and brain metastases, and pleural effusion in addition to normal lung tissues and lymph nodes. The extensive single cell profiles depicted a complex cellular atlas and dynamics during lung adenocarcinoma progression which includes cancer, stromal, and immune cells in the surrounding tumor microenvironments.

  Dataset EGAD00001005054

• Copy number profiles detected by shallow coverage WGS

  We performed shallow coverage whole genome sequencing on 147 glioma samples and analyzed their copy number profile. The coverage of each sample is about 2. Data are presented as VCF files which describe the copy number segments and their log2 ratio.

  Dataset EGAD00001005062

• UAMS Smoldering Myeloma Timeline Cohort

  To better understand the pattern of genetic changes over time, we performed whole exome sequencing of sequential bone marrow samples from 9 patients taken overtime including some paired SMM/newly diagnosed MM/Relapse MM samples. Samples from 9 patients (9 controls and 53 tumors) underwent whole exome sequencing with an additional capture for the IGH, IHK, IGL, and MYC loci. DNA was obtained from either CD138+ cells from the bone marrow of smoldering myeloma patients through time (tumor) or from stem cell harvests or peripheral blood cells from the same patient (control). 100 ng of DNA was fragmented, end-repaired, and adapters ligated using NimbleGen's MedExome. After PCR amplification hybridized libraries underwent further amplification before being sequenced on a NextSeq500 (Illumina) using 75 bp paired end reads.

  Dataset EGAD00001005056

• Whole Genome Sequencing data for epigenetic subgroups of meningioma

  Bam files for 124 samples (62 tumor vs blood pairs); Whole Genome Sequencing performed on Illumina HiSeq X Ten

  Dataset EGAD00001005061

• Melanoma post mortem analysis

  We have been applying whole genome and transcriptome sequencing across metastases collected during post mortem. Herein we show the findings for the first such patient.

  Dataset EGAD00001005072

• Melanoma post mortem analysis

  Despite multiple large-scale sequencing studies offering substantial insight into the genomic landscape of cutaneous melanoma, the molecular events surrounding disease progression and the resulting molecular heterogeneity between metastases have not been fully elucidated. We have been applying whole genome and transcriptome sequencing across metastases collected during post mortem. Herein we show the findings for the first such patient. This is a targeted pulldown validation in support of the whole-genome sequencing analysis of the metastatic tumours and targeted pulldown of the primary tumour.

  Dataset EGAD00001005073

• Hospital for Sick Children Infant Glioma RNA Sequencing

  Whole transcriptome (n=4) and targetted RNA sequencing (n=15) .bam files of infantile glioma samples reported on at the Hospital for Sick Children

  Dataset EGAD00001005092

• Cancer and germline exomes, and cancer RNA-seq consisiting of FASTQ paired-end reads from melanoma and lung cancer samples

  Cancer and germline exomes, and cancer RNA-seq consisiting of FASTQ paired-end reads from melanoma and lung cancer samples

  Dataset EGAD00001005097

• Genomic profiling of patient-derived xenograft models of myxoid liposarcoma either sensitive or resistant to trabectedin

  The dataset consists of two patient-derived xenograft model of myxoid liposarcoma one sensitive and one resistant to trabectedin. Both models underwent the same treatment schedule with trabectedin (tree time points and one treatment with doxorubicin). We performed genomic profiling using Agilent OneSeq assay.

  Dataset EGAD00001005099

• Sporadic and endemic Burkitt lymphoma have frequent FOXO1 mutations but distinct hotspots in the AKT recognition motif

  Sample set of 74 whole-exome sequencing samples from sporadic Burkitt lymphoma patients from the UK. 33 of these samples have matched constitutional data, giving a total number of 107 samples

  Dataset EGAD00001005105

• Histone and transcriptome profiling of glioblastoma initiating cells

  ChIP-seq and RNA-seq of glioblastoma initiating cells and their differentiated counterparts with and without inhibition/knockdown of KDMs.

  Dataset EGAD00001005124