Genomic characterization of esophageal squamous cell carcinoma reveals critical genes underlying tumorigenesis and poor prognosis

The genetic mechanisms underlying the poor prognosis of esophageal squamous cell carcinoma (ESCC) are not well understood. In this study, we comprehensively characterized somatic mutations, copy number alterations (SCNAs)/structural variants (SVs) found in ESCC from sequencing 10 whole-genome and 57 whole-exome matched tumor-normal pairs. We identified multiple somatic mutations seen previously in known cancer pathways and identified candidate genes for ESCC including VANGL1 and MIR4707. A survival analysis based on the expression profiles of 321 ESCC individuals indicated that the somatically altered genes we found were significantly associated with ESCC poorer survival. Subsequently, we performed functional studies to validate the roles of the altered genes in tumor proliferation and metastasis.

Type: Other
Archiver: EGA European Genome-Phenome Archive

2 Datasets 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001004542	The dataset includes whole exome sequencing (WES) data on 57 matched esophageal tumor-normal pair. The Agilent Sure-Select Human All Exon V4 plus UTRs reagent was used to capture the target exons and UTRs and Illumina HiSeq 2000 instrument was used to sequence the target region with approximately 72-fold coverage.	Illumina HiSeq 2000	114
EGAD00001004832	The dataset includes whole genome sequencing (WGS) data on ten matched esophageal tumor-normal pairs. WGS was performed by the cancer sequencing service of CG with an average read coverage of approximately 50-fold. Illumina HiSeq2000 instrument was used to perform the sequencing.	Illumina HiSeq 2000	18

Publications	Citations
Genomic Characterization of Esophageal Squamous Cell Carcinoma Reveals Critical Genes Underlying Tumorigenesis and Poor Prognosis. Qin HD, Liao XY, Chen YB, Huang SY, Xue WQ, Li FF, Ge XS, Liu DQ, Cai Q, Long J, Li XZ, Hu YZ, Zhang SD, Zhang LJ, Lehrman B, Scott AF, Lin D, Zeng YX, Shugart YY, Jia WH. Am J Hum Genet 98: 2016 709-727	76