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Genomic Landscape and Therapeutic Targets of Adenosquamous Carcinoma of the Pancreas [CGH Microarray]

GSE143256 Homo sapiens (human) Genome variation profiling by genome tiling array 19 samples Submitted 2020/01/08 Platform GPL19387
At a glance

human · 19 samples

Organism
Homo sapiens (human)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
19 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
We applied DNA content flow cytometry to a series of adenosquamous cancer of the pancreas (ASCP) tumor samples and patient derived xenografts (PDXs). We interrogated purified sorted tumor fractions from each sample with whole genome copy number variant (CNV) and whole exome sequencing (WES) analyses. These identified a variety of somatic genomic lesions targeting chromatin regulators in ASCP genomes that were superimposed on well characterized genomic lesions including mutations in KRAS and TP53, homozygous deletion of CDKN2A, and amplification of c-MYC, that are common in PDACs.
Read the full summary ↓
Furthermore, a comparison of ATAC-seq profiles of ASCP and pancreatic ductal adenocarcinoma (PDAC) genomes using flow sorted PDX models distinguished genes with accessible chromatin in ASCP genomes including the lysine methyltransferase SMYD2, the pancreatic cancer stem cell driver RORγ, and a FGFR1-ERLIN2 fusion associated with focal CNVs in both genes. Organoids derived from these models were used to screen compounds of interest. Notably a FGFR inhibitor had significant activity against the FGFR1-ERLIN2 fusion positive PDX.
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE143256_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA599416. Searching any of these in the dataset finder brings you back here.

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