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Dataset Details (GSE143256)

Superfund Research Program

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

Accession Number: GSE143256

Link to Dataset:

Repository: Gene Expression Omnibus (GEO)

Data Type(s): Gene Expression

Experiment Type(s): Genome variation profiling by genome tiling array

Organism(s): Homo sapiens

Summary: 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. 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.

Publication(s) associated with this dataset:
  • Lenkiewicz E, Malasi S, Hogenson TL, Flores LF, Barham W, Phillips WJ, Roesler AS, Chambers KR, Rajbhandari N, Hayashi A, Antal CE, Downes M, Grandgenett PM, Hollingsworth MA, Cridebring D, Xiong Y, Lee J, Ye Z, Yan H, Hernandez MC, Leiting JL, Evans RM, Ordog T, Truty MJ, Borad MJ, Reya T, Von Hoff DD, Fernandez-Zapico ME, Barrett MT. 2020. Genomic and epigenomic landscaping defines new therapeutic targets for adenosquamous carcinoma of the pancreas. Cancer Res 80:4324-4334. doi:10.1158/0008-5472.CAN-20-0078 PMID:32928922
Project(s) associated with this dataset:
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