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Series GSE54995 Query DataSets for GSE54995
Status Public on Mar 11, 2014
Title Esophageal Cancer Project
Organism Homo sapiens
Experiment type Genome variation profiling by genome tiling array
Summary Esophageal cancer is one of the most aggressive cancers and the sixth leading cause of cancer death worldwide. Approximately 70% of the global esophageal cancers occur in China and over 90% histopathological forms of this disease are esophageal squamous cell carcinoma (ESCC). Currently, there are limited clinical approaches for early diagnosis and treatment for ESCC, resulting in a 10% 5-year survival rate for the patients. Meanwhile, the full repertoire of genomic events leading to the pathogenesis of ESCC remains unclear. Here we show a comprehensive genomic analysis in 158 ESCC cases, as part of the International Cancer Genome Consortium (ICGC) Research Projects (http://icgc.org/icgc/cgp/72/371/1001734). We conducted whole-genome sequencing in 17 ESCC cases and whole-exome sequencing in 71 cases, of which 53 cases and additional 70 ESCC cases were subjected to array comparative genomic hybridization (a-CGH) analysis.
 
Overall design We conducted whole-genome sequencing in 17 ESCC cases and whole-exome sequencing in 71 cases, of which 53 cases and additional 70 ESCC cases were subjected to array comparative genomic hybridization (a-CGH) analysis.
 
Citation(s) 24670651
Submission date Feb 13, 2014
Last update date Apr 25, 2014
Contact name Lin Li
E-mail(s) [email protected]
Organization name BGI
Street address Beishan Industrial Zone
City shenzhen
ZIP/Postal code 518083
Country China
 
Platforms (2)
GPL8736 Agilent-021529 Human CGH Whole Genome Microarray 1x1M (G4447A) (Feature Number version)
GPL15436 NimbleGen Human CGH 3x720K Whole-Genome Tiling v3.0 Array [090527_HG18_WG_CGH_v3.1_HX3]
Samples (123)
GSM1327565 5B0045T
GSM1327566 5B0111T
GSM1327567 5B0150T
This SuperSeries is composed of the following SubSeries:
GSE54993 a-CGH of Esophageal Cancer (70 cases)
GSE54994 a-CGH of Esophageal Cancer (53 cases)
Relations
BioProject PRJNA238218

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE54995_RAW.tar 9.9 Gb (http)(custom) TAR (of PAIR, TXT)

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