Ji, J.-J. | Search bioRxiv

bioRxiv2021

Extrachromosomal DNA is associated with chromothripsis events and diverse prognoses in gastric cardia adenocarcinoma

Extrachromosomal DNA plays an important role in oncogene amplification in tumour cells and poor outcomes across multiple cancers. However, the function of extrachromosomal DNA in gastric cardia adenocarcinoma (GCA) is very limited. Here, we investigated the availability and function of extrachromosomal DNA in GCA from a Chinese cohort of GCA using whole-genome sequencing (WGS), whole-exome sequencing (WES), and immunohistochemistry. For the first time, we identified the ecDNA amplicons present in most GCA patients, and found that some oncogenes are present as ecDNA amplicons in these patients. We found that oncogene ecDNA amplicons in the GCA cohort were associated with the chromothripsis process and may be induced by accumulated DNA damage due to local dietary habits in the geographic region. Strikingly, we observed diverse correlations between the presence of ecDNA oncogene amplicons and prognosis, where ERBB2 ecDNA amplicons correlated with good prognosis, EGFR ecDNA amplicons correlated with poor prognosis, and CCNE1 ecDNA amplicons did not correlate with prognosis. Large-scale ERBB2 immunohistochemistry results from 1668 GCA patients revealed that there was a positive correlation between the presence of ERBB2 and prognosis in 2-7-year survival; however, there was a negative correlation between the presence of ERBB2 and prognosis in 0-2-year survival. Our observations indicate that the presence of ERBB2 ecDNA in GCA patients may represent a good prognosis marker.

genomics↗

bioRxiv2020

LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files

The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming, and direct calculation from variant call format (VCF) files is not supported. Here we developed LDBlockShow, an open source software, for visualizing LD and haplotype blocks from VCF files. It is time and memory saving. In a test dataset with 100 SNPs from 60,000 subjects, it was at least 429.03 times faster and used only 0.04% - 20.00% of physical memory as compared to other tools. In addition, it could generate figures that simultaneously display additional statistical context (e.g., association P values) and genomic region annotations. It can also compress the SVG files with large number of SNPs and support subgroup analysis. This fast and convenient tool would facilitate the visualization of LD and haplotype blocks for geneticists.

bioinformatics↗