7188 results for "canc*"

in 13.12 milliseconds.

• Treated and control Patient Derived Xenografts of colorectal cancer (CRC) samples

  Dac EGAC00001003073

• Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment

  Study EGAS00001003886

• The PEACE (Posthumous Evaluation of Advanced Cancer Environment) Study DAC

  Dac EGAC00001003055

• IBD-dysplasia

  Study EGAS00001003767

• DAC Barretos Cancer Hospital

  Dac EGAC00001001077

• Breast cancer sequencing data

  Dac EGAC00001003293

• Molecular Profiles of BRCA1-Associated Ovarian Cancer Treated by Platinum-Based Therapy

  Study EGAS00001003980

• OSCC WES + WGS Boot et al. 2020

  Study EGAS00001004376

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

  Dac EGAC00001003279

• The Genomic Landscape of Prostate Cancer Brain Metastases

  Study EGAS00001004557

• The data access committee for Single molecule genome-wide mutation profiles of cell-free DNA for non-invasive detection of cancer

  Dac EGAC00001003253

• Longitudinal single-cell RNA-seq data of metastatic ovarian cancer

  Study EGAS00001005006

• DO NOT USE - Whole genome sequencing of SI-NETs from five patients

  Small intestine neuroendocrine tumor (SI-NET), the most common cancer of the small bowel, often displays a curious multifocal phenotype with several intestinal tumors centered around a regional lymph node metastasis, yet the typical path of evolution of these lesions remains unclear. Here, we determined the complete genome sequences of 37 tumors from 5 patients with multifocal SI-NET, allowing elucidation of phylogenetic relationships between multiple intestinal tumors and metastases in individual patients.

  Study EGAS00001004435

• DO NOT USE - Whole genome sequencing of SI-NETs from six patients

  Small intestine neuroendocrine tumor (SI-NET), the most common cancer of the small bowel, often displays a curious multifocal phenotype with several intestinal tumors centered around a regional lymph node metastasis, yet the typical path of evolution of these lesions remains unclear. Here, we determined the complete genome sequences of 24 tumor and 3 adjacent normal tissue samples with their paired normal blood samples (totally 33 whole genomes) from 6 patients with multifocal SI-NETs, allowing elucidation of phylogenetic relationships between multiple intestinal tumors and metastases in individual patients.

  Study EGAS00001005009

• Lung cancer RNA Seq Data Access Committee

  Dac EGAC00001003317

• Data Access Commitee of Nanjing Medical University Affiliated Jiangsu Cancer Hospital

  Dac EGAC00001003206

• The evolutionary dynamics of human colorectal cancer using single-gland spatial multi-omic profiling of DNA, RNA and chromatin.

  Study EGAS00001006088

• The evolutionary dynamics of human colorectal cancer using single-gland spatial multi-omic profiling of DNA, RNA and chromatin.

  Study EGAS00001006122

• The evolutionary dynamics of human colorectal cancer using single-gland spatial multi-omic profiling of DNA, RNA and chromatin.

  Study EGAS00001005827

• SMC Breast Cancer DAC

  Dac EGAC00001002381

• IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori" Italian Cancer Center Data Access Committee

  Dac EGAC00001003223

• IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori" Italian Cancer Center Data Access Committee

  Dac EGAC00001003227

• Breast cancer bone metastases

  Dac EGAC00001003238

• Quantitative analysis of a novel DNA hypermethylation panel for lung cancer diagnosis

  Study EGAS00001007008

• NOWAC blood-based breast cancer case-control study

  Tumor-host interactions extend beyond the local microenvironment and cancer development largely depends on the ability of malignant cells to hijack and exploit the normal physiological processes of the host. Although abnormalities in a host’s systemic immunity are associated with increased cancer susceptibility, the functional interplay between tumor cells and circulating immune cells in regulating tumorigenic responses is unclear. We employed the Norwegian Women and Cancer study, a large prospective population-based cohort study, to identify gene expression changes in blood cells that provide a robust and reproducible diagnostic signal specific to breast cancer patients. We further show that circulating blood cells in breast cancer patients are enriched in genes involved in systemic immunosuppression and the motility, metabolism, growth, and proliferation of immune cells. By mining of the cancer-associated blood transcriptome, we identified immune mediators or biomarkers that could permit early detection of breast cancer and open avenues to novel targeted immunotherapies.

  Study EGAS00000000134

• Small cell cancer NDS Oxford DAC

  Dac EGAC00001003350

• BC Cancer, part of the Provincial Health Services Authority, Technology Development Office, Data Access Committee (PHSA TDO DAC)

  Access to data generated by BCCA is made available by completing the data access agreement for review by the data access committee and will be granted to qualified investigators for appropriate use.

  Dac EGAC00000000011

• Ovarian Cancer Laboratory, University of Oxford

  Dac EGAC00001000518

• TRACERx Non-small cell lung cancer

  Dac EGAC00001000632

• Data Access Committee for data from EGAS00001002864: Genome analysis of oesophageal cancer and Barretts oesophagus

  Dac EGAC00001000863

• Lung Cancer Single-cell Data Access Committee

  Dac EGAC00001001220

• Cancer Genetics Data Access Commitee

  Dac EGAC00001001742

• National Cancer Center Singapore

  Dac EGAC00001001550

• Pan Cancer Plasma cfRNA DAC

  Dac EGAC00001003176

• Data Access Commitee FGFR Cancer

  Dac EGAC00001003273

• MD Anderson Cancer Center Data Access Committee

  Dac EGAC00001002802

• Children's Cancer Therapy Institute DAC

  Dac EGAC00001001828

• Cancer Team Data Access Committee

  Dac EGAC00001002762

• Small cell cancer NDS Oxford DAC

  Dac EGAC00001003343

• Breast Cancer Cell Line Data Access Committee

  Dac EGAC00000000015

• "Data Access Center Cancer Genomics Group"

  Dac EGAC00001000030

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

  Dac EGAC00001000032

• Cancer Genome Database Data Access Committee (CGDB_DAC)

  Dac EGAC00001000033

• St. Jude Children’s Research Hospital – Washington University Pediatric Cancer Genome Project Steering Committee

  Dac EGAC00001000044

• St. Jude Children’s Research Hospital – Washington University Pediatric Cancer Genome Project Steering Committee

  Dac EGAC00001000045

• Barts Cancer Institute - Follicular Lymphoma Whole Genome Sequencing Project Data Access Committee

  Dac EGAC00001000086

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

  Dac EGAC00001000087

• Cancer Genomics Project RCC Data Access Committee

  Dac EGAC00001000109

• DAC: British Columbia Cancer Agency (BCCA), PHSAs Technology Development Office, Data Access Committee

  Dac EGAC00001000122

• Breast Cancer Cell Line Data Access Committee

  Dac EGAC00001000134