12055 results for "cancer rna-seq"

in 25.71 milliseconds.

• Cholangiocarcinoma

  Arcagen is an EORTC/SPECTA pan-European project that aims to recruit 1000 rare cancer patients from different tumour domains of EURACAN. This study collected samples from advanced or metastatic rare cancer from patients older than 12, and analysed them using Foundation Medicine next-generation sequencing (NGS) panels (FoundationOne CDx for FFPE samples or FoundationOne Liquid CDx for blood samples). Here we are submitting two datasets that contain NGS files from gastrointestinal rare cancers (n=119): - Dataset 2 (87 patients): Intra-hepatic cholangiocarcinoma (n=47), Extra-hepatic, cholangiocarcinoma (n=16), Not specified Cholangiocarcinoma (n=9), Small bowel adenocarcinoma (n=6) and other rare GI cancer (n=9)

  Dataset EGAD00001008968

• Genomic Evolution of Breast Cancer Metastasis and Relapse

  Recurrent breast cancer is almost universally fatal. We characterize 170 patients locally relapsed or distant metastatic cancers using massively parallel sequencing. We identify that the relapse-seeding clone disseminates late from the primary tumor. TP53 and AKT1 appear to be enriched in ER-positive cancers predisposed to relapse. Mutation acquisition continues at relapse as the same mutation signatures continue to operate and new signatures, such as that caused by radiotherapy appear de novo. In 49% of cases we identify drivers mutations private to the relapse and these are sampled from a wider range of cancer genes, including SWI-SNF complex and JAK-STAT signaling.

  Dataset EGAD00001002696

• The Natural History of Human Prostate Cancer

  Whole genome DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of 3 men. For each of three different prostates, multiple tumour samples (4, 5, and 3 depending on the case) and one normal tissue sample were whole genome sequenced with a matched blood sample using the Illumiuna HiSeq platform. Tumour samples were sequenced to a target depth of 50X and normals and blood to a target depth of 30X. As of September 2020, some of the studies using these data include: Cooper et al, Nature Genetics 2015 (PMID: 25730763) Wedge et al, Nature Genetics 2018 (PMID: 29662167) Pan-Cancer Analysis of Whole Genomes, Nature 2020 (PMID: 32025007)

  Dataset EGAD00001000689

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

  Study EGAS00001007008

• CUHK Liver Cancer Project DAC

  Dac EGAC00001000214

• Data Access Committee for German Consortium for Translational Cancer Research (DKTK)

  Dac EGAC00001000217

• Data Access Committee for COLO829 Somatic reference standard for cancer genome sequencing

  Dac EGAC00001000408

• Data Access Committee for the Metastatic Breast Cancer Whole-exome sequencing study

  Dac EGAC00001000434

• Peter Mac Translational Breast Cancer Genomics and Therapeutics Lab Data Access Committee

  Dac EGAC00001000837

• DAC for Integrated Genomic, Epigenetic, and Expression Analyses of Ovarian Cancer Cell Lines

  Dac EGAC00001001101

• Stanford Data Access Committee for Multi-Region WES of Metastatic Colorectal Cancer

  Dac EGAC00001001164

• Division of Molecular Oncology, National Cancer Center Research Institute Data Access Committee

  Dac EGAC00001001272

• Nicola Murray Centre for Ovarian Cancer Research Data Access Committee

  Dac EGAC00001001588

• Division of Molecular Oncology, National Cancer Center Research Institute Data Access Committee

  Dac EGAC00001002331

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

  Dac EGAC00001002903

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

  Dac EGAC00001002968

• Division of Molecular Oncology, National Cancer Center Research Institute Data Access Committee

  Dac EGAC00001003030

• Singapore Gastric Cancer Consortium Data Access Committee

  Dac EGAC00001003138

• Whole-genome sequenicng of 168 paired Gastric Cancer patients (2nd part) DAC

  Dac EGAC00001002854

• Whole-genome sequenicng of 168 paired Gastric Cancer patients (3rd part) DAC

  Dac EGAC00001003308

• EC IO Data Access Committee UMCG

  Endometrial Cancer Immuno-Oncology DAC UMCG

  Dac EGAC50000000334

• Expression quantitative trait loci influence DNA damage-induced apoptosis in cancer

  Dac EGAC50000000430

• Targetable ERBB2 Mutations in Neurofibroma/Schwannoma Hybrid Nerve Sheath Tumors

  Study EGAS00001003776

• RNAseq analysis on metastatic Colorectal Cancer xenografts samples

  Study EGAS00001006492

• Sequencing Data of HGSC patient-derived cell lines and organoids

  Study EGAS00001006557