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Genomicsena-DATASET-UCL-14-05-2015-18:11:37:007-120 - samples
This dataset contains whole exome data from 8 esophageal adenocarcinoma tumors, that has been subjected to multiregion sequencing, ranging from 3-8 regions per tumor. In total, 40 tumor samples and 8 normal blood samples have been sequenced on Illumina HiSeq 2500 at a median dept of 90x.
EGAD00001001364 | EGA
GenomicsTracking the genomic evolution of esophageal adenocarcinoma through neoadjuvant chemotherapy
Esophageal adenocarcinomas (EACs) are associated with dismal prognosis. Deciphering the evolutionary histories of this disease may shed light on therapeutically tractable targets and reveal changing mutational processes during the disease course and following neoadjuvant chemotherapy (NAC). We exome...
EGAS00001001254 | EGA
GenomicsTRACERx esophageal adenocarcinoma
Data Access Committee EGAC00001000340
EGAC00001000340 | EGA
Genomicsena-DATASET-CRUK-LRI-04-02-2014-11:46:00:265-3 - samples
Paired end Illumina sequencing of whole exomes of multiple tumour regions.
EGAD00001000734 | EGA
GenomicsGenomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing
We applied multi-region exome sequencing to 10 clear cell renal carcinomas to resolve the genetic architecture, intra tumour heterogeneity and evolutionary histories of these tumours.
EGAS00001000667 | EGA
GenomicsTRACERx renal DAC
Data Access Committee EGAC00001001907
EGAC00001001907 | EGA
GenomicsTRACERx: TRAcking non-small cell lung Cancer Evolution through therapy (Rx). Pilot Study. Multi-region sequencing of early-stage NSCLCs.
Deciphering the complexity of non-small cell lung cancer (NSCLC) evolutionary histories may elucidate the basis for its dismal outcome. We performed multi-region sequencing of early-stage NSCLCs. Spatial dissection revealed branched tumor evolution, with driver mutations occurring before and after s...
EGAS00001000809 | EGA
GenomicsSpatial and temporal diversity in genomic instability processes define early stage lung cancer evolution.
Deciphering the complexity of non-small cell lung cancer (NSCLC) evolutionary histories may elucidate the basis for its dismal outcome. We performed multi-region sequencing on 25 regions from seven early-stage NSCLCs. Spatial dissection revealed branched tumor evolution, with driver mutations occurr...
EGAS00001000840 | EGA
Genomicsena-DATASET-SC-21-07-2014-10:55:39:527-89 - samples
NSCLC targeted.
EGAD00001000889 | EGA
Genomicsena-DATASET-SC-21-07-2014-10:52:30:961-88 - samples
NSCLC WGS.
EGAD00001000888 | EGA
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