5711 results for "canc*"

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• Peter MacCallum Cancer Centre Research Data Access Committee

  Dac EGAC00001002975

• INSERM U944 Team Genome and Cancer

  Dac EGAC00001002976

• DAC Molecular heterogeneity and commonalities in pancreatic cancer precursors with gastric and intestinal phenotype

  Dac EGAC00001002978

• Cancer Team Data Access Committee

  Dac EGAC00001002982

• NPY methylated ctDNA is a promising biomarker for treatment response monitoring in metastatic colorectal cancer

  Dac EGAC00001003001

• Leeds Cancer Genomics

  Dac EGAC00001003010

• Ovarian Cancer Data Access Committee

  Dac EGAC00001003014

• Breast cancer bone metastases

  Dac EGAC00001003035

• Hoag Family Cancer Institute Carcinoid Multiomic Study Data Access Committee

  Dac EGAC00001003084

• DAC - Pediatric Solid Cancer

  Dac EGAC00001003088

• Cancer Genomics of the Kidney - Targeted Sequencing

  Dac EGAC00001003091

• RNAseq analysis on metastatic Colorectal Cancer xenografts samples

  Dac EGAC00001003125

• Early on-treatment changes in circulating tumor DNA fraction and response to enzalutamide or abiraterone in metastatic castration-resistant prostate cancer - Data Access Committee

  Dac EGAC00001003128

• Netherlands Cancer Institute (NKI) - Beatriz Carvalho group

  Dac EGAC00001003134

• DAC for ACT-Discover: identifying karyotype heterogeneity in pancreatic cancer evolution using ctDNA

  Dac EGAC00001003141

• TCR sequencing of TIL in breast cancer data access committee

  Dac EGAC00001003173

• Netherlands Cancer Institute (NKI) - Wilbert Zwart Group

  Dac EGAC00001003257

• Cancer Genome Database Data Access Committee (CGDB_DAC)

  Dac EGAC01000000002

• Cancer Genomics Project DBA Data Access Committee

  Dac EGAC01000000005

• Circulating tumor cells Exome sequencing from breast cancer

  Single cell technologies allow interrogating the extent of tumor heterogeneity, providing novel insights into tumor evolution and treatment resistance mechanisms. Here, we investigated the level of genetic heterogeneity among circulating tumor cells (CTCs) at the single nucleotide variation and copy number aberration (CNA) levels and compared it to synchronous matched primary tumor/metastatic lesion from 3 metastatic breast cancer patients with triple-negative (TNBC), HER2-positive (HER2+) and estrogen-receptor-positive (ER+) tumors. Whole exome sequencing was performed on 3 synchronous bulk tumor tissue and 21 single/pooled CTC samples. When comparing bulk tissue with CTCs from the same patient, we found similar CNA profiles and the same patient-specific driver mutations for the HER2+ and TNBC tumors. Different CNA profiles and driver mutations were found for the ER+ tumor, with two distinct clones being identified in the CTCs, one harboring an activating ESR1 mutation, the other one bearing a TP53 mutation. These data suggest that tumor tissue and CTCs provide in a subset of patients complementary clinically relevant information to map tumor heterogeneity and monitor tumor evolution. Further validation is needed.

  Study EGAS00001005228

• Comparison of single/pooled CTCs and bulk exome sequencing

  Single cell technologies allow the interrogation of tumor heterogeneity, providing insights into tumor evolution and treatment resistance. To better understand whether circulating tumor cells (CTCs) could complement metastatic biopsies for tumor genomic profiling, we characterized 11 single CTCs and 10 pooled CTC samples at the mutational and copy number aberration (CNA) levels, and compared these results with matched synchronous tumor biopsies from 3 metastatic breast cancer patients with triple-negative (TNBC), HER2-positive and estrogen receptor-positive (ER+) tumors. Similar CNA profiles and the same patient-specific driver mutations were found in bulk tissue and CTCs for the HER2-positive and TNBC tumors, whereas different CNA profiles and driver mutations were identified for the ER+ tumor, which presented two distinct clones in CTCs defined by mutations in ESR1 Y537N and TP53, respectively. Furthermore, de novo mutational signatures derived from CTCs described patient-specific biological processes. These data suggest that tumor tissue and CTCs provide complementary clinically relevant information to map tumor heterogeneity and tumor evolution.

  Dataset EGAD00001009052

• Exome sequencing data from two small cell prostate cancer patients

  Exome sequencing data from two small cell prostate cancer patients - 4 cancer samples (FFPE) from Patient 1 collected at 3 different time points and 2 cancer samples (FFPE) from Patient 2 collected at 1 time point. Exonic DNA was enriched using the TruSeq Exome Kit (Illumina) and sequenced on the Illumina NextSeq 500 as 75bp paired end reads (total read length 150bp).

  Dataset EGAD00001011149

• RNASeq data from one small cell prostate cancer patient (4 samples from 3 time points)

  RNASeq data from one small cell prostate cancer patient - 4 cancer samples (FFPE) from Patient 1 collected at 3 different time points. mRNA was selected using the Magnetic mRNA Isolation Module (NEB) and sequenced on the Illumina NextSeq 500 as 75bp paired end reads (total read length 150bp).

  Dataset EGAD00001011154

• Small cell cancer NDS Oxford DAC

  Dac EGAC00001003343

• Small cell cancer NDS Oxford DAC

  Dac EGAC00001003350