11932 results for "cancer rna-seq"

in 62.98 milliseconds.

• Pulldown_cytosine_deaminases

  We are looking at the causal factors behind hyper-mutator phenotypes found in previous Breast Cancer sequencing studies.

  Study EGAS00001000233

• Genomics_of_Colorectal_Cancer_Metastases___Massively_Parallel_Sequencing_of_Matched_Primary_and_Metastatic_tumours_to_Identify_a_Metastatic_Signature_of_Somatic_Mutations__MOSAIC_

  Exome pulldown and SNP6 Affymetrix array of matched primary and metastatic colorectal cancer samples from 20 patients

  Study EGAS00001000103

• Organoid_Derivation_Project__TGS

  Sequencing of tissue samples and their derived organoids from oesophageal, pancreatic and colorectal cancer patients.

  Study EGAS00001002221

• Heterogeneity and evolution of DNA mutation rates in microsatellite stable colorectal cancer. Higher mutation rates (MR) in metastatic tumours

  Building on the observation that MR appears to be a unique and inheritable feature of each cancer cell, we explored whether MR is subject to selective pressure during cancer progression. These data suggest that a higher MR is selected during CRC metastatic progression.

  Study EGAS50000000147

• Gastric Cancer Genetic Analysis of Metastasis

  To identify candidate drivers involved in oncogenesis and tumor evolution, we conducted an extensive genome sequencing analysis of metastatic progression in diffuse gastric cancer. This involved a comparison between a primary tumor from a Hereditary Diffuse Gastric Cancer Syndrome proband and its subsequent recurrence as an ovarian metastasis.

  Study phs000795

• Metaplastic breast cancer in a patient with neurofibromatosis type 1 and somatic loss of heterozygosity

  Targeted genetic sequencing was performed on a 41-year-old female with metaplastic breast cancer (MBC) and neurofibromatosis type I (NF1). A custom panel capturing 279 cancer related genes was used to identify a germline pathogenic SNV in NF1, as well several other somatic alterations.

  Study phs001566

• Exploration of predictive biomarkers for postoperative recurrence of stage II/III colorectal cancer using genomic sequencing

  To identify biomarkers that can predict treatment outcomes, we compared the mutational profiles of surgically resected specimens from patients with recurrent cancer with those from patients with non-recurrent cancer. Target sequencing, whole-exome sequencing (WES), or whole-genome sequencing (WGS) was perfomed.

  Study JGAS000335

• Assessment of genomic copy number alterations in breast cancer

  The aim of this study was to assess genomic copy number alterations in a panel of breast cancer cell lines. These data were used to identify common aberrations associated with breast cancer, and also to identify aberrations associated with response to therapeutic compounds.

  Study EGAS00001000585

• Korean Lung Cancer - 36 pair WES data

  This study includes 36 paired samples of Korean Lung Cancer paitients.36 Lung Cnacer samples are paired with each normal(Saliva derived for control) sequencing data.The results of this WES study were analyzed by Mutect and GATK for ranking germline variants and cancer variants to make mutational profile matrix.

  Study EGAS00001002843

• RRBS data from TRACERx non-small cell lung cancer (NSCLC) tumours and matched normal adjacent tissue.

  TRACERx (TRAcking Cancer Evolution through therapy (Rx)) is a prospective cohort study designed to investigate intratumor heterogeneity (ITH) in relation to clinical outcome, and to determine the clonal nature of driver events and evolutionary processes in early stage non-small cell lung cancer (NSCLC).

  Study EGAS00001008071