Genetic Landscape of Esophageal Squamous Cell Carcinoma Defined by Exome Sequencing on Chinese Patient Cohort and Cell Lines

Esophageal Squamous Cell Carcinoma (ESCC) is one of the deadliest cancers worldwide. To define the genetic landscape of ESCC, whole exome sequencing was performed on 113 pairs of tumor and normal DNA samples collected from Chinese individuals with treatment-naive primary ESCC, along with 8 cell lines, including 7 from KYSE series ESCC cell lines and one immortalized esophageal squamous epithelial cell line Het-1A.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 5 Publications

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
EGAD00001001006	Dataset for whole exome sequencing of 113 pairs of tumor and normal DNA samples along with 8 cell lines.	Illumina HiSeq 2000	234

Publications	Citations
Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population. Guo J, Huang J, Zhou Y, Zhou Y, Yu L, Li H, Hou L, Zhu L, Ge D, Zeng Y, Guleng B, Li Q. BMC Genomics 19: 2018 538	15
Integrated analysis of genomic and transcriptomic profiles identified a prognostic immunohistochemistry panel for esophageal squamous cell cancer. Yu Y, Li Z, Huang C, Fang H, Zhao F, Zhou Y, Pan X, Li Q, Zhuang Y, Chen L, Xu J, Wang W. Cancer Med 9: 2020 575-585	4
Non-disruptive mutation in <i>TP53</i> DNA-binding domain is a beneficial factor of esophageal squamous cell carcinoma. Huang M, Jin J, Zhang F, Wu Y, Xu C, Ying L, Su D. Ann Transl Med 8: 2020 316	8
Clonal relationship and alcohol consumption-associated mutational signature in synchronous hypopharyngeal tumours and oesophageal squamous cell carcinoma. Ko JM, Guo C, Liu C, Ning L, Dai W, Tao L, Lo AW, Wong CW, Wong IY, Chan FS, Wong CL, Chan KK, Law TT, Lee NP, Liu Z, Jiang H, Li Z, Law S, Lung ML. Br J Cancer 127: 2022 2166-2174	3
ImmuneMirror: A machine learning-based integrative pipeline and web server for neoantigen prediction. Chuwdhury GS, Guo Y, Chiang CL, Lam KO, Kam NW, Liu Z, Dai W. Brief Bioinform 25: 2024 bbae024	0