Whole genome analysis of mutation hotspots in gastric cancer

Study ID Alternative Stable ID Type
EGAS00001002872 Other

Study Description

Tissue-specific driver mutations in non-coding genomic regions remain undefined for most cancer types. In this study, we unbiasedly analysed 212 gastric cancer whole genomes to identify recurrently mutated non-coding regions in gastric cancer. Applying comprehensive statistical approa- ches to accurately model background mutational processes, we observe significant enrich- ment of non-coding indels (insertions/deletions) in three gastric lineage-specific genes. We further identify 34 mutation hotspots, of which 11 overlap CTCF binding sites (CBSs).

Study Datasets 1 dataset.

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Dataset ID Description Technology Samples
Genomic DNA of tumours and matched normal gastric tissues was extracted (QIAGEN). Libraries were constructed with 300-400 bp insert length, and 101bp or 151bp paired-end sequencing was performed on Illumina Hiseq instruments
HiSeq X Ten,Illumina HiSeq 2000,Illumina HiSeq 2500 80

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