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Nat Commun ; 12(1): 3044, 2021 05 24.
Article in English | MEDLINE | ID: mdl-34031415

ABSTRACT

Unlike other malignancies, therapeutic options in pancreatic ductal adenocarcinoma (PDAC) are largely limited to cytotoxic chemotherapy without the benefit of molecular markers predicting response. Here we report tumor-cell-intrinsic chromatin accessibility patterns of treatment-naïve surgically resected PDAC tumors that were subsequently treated with (Gem)/Abraxane adjuvant chemotherapy. By ATAC-seq analyses of EpCAM+ PDAC malignant epithelial cells sorted from 54 freshly resected human tumors, we show here the discovery of a signature of 1092 chromatin loci displaying differential accessibility between patients with disease free survival (DFS) < 1 year and patients with DFS > 1 year. Analyzing transcription factor (TF) binding motifs within these loci, we identify two TFs (ZKSCAN1 and HNF1b) displaying differential nuclear localization between patients with short vs. long DFS. We further develop a chromatin accessibility microarray methodology termed "ATAC-array", an easy-to-use platform obviating the time and cost of next generation sequencing. Applying this methodology to the original ATAC-seq libraries as well as independent libraries generated from patient-derived organoids, we validate ATAC-array technology in both the original ATAC-seq cohort as well as in an independent validation cohort. We conclude that PDAC prognosis can be predicted by ATAC-array, which represents a low-cost, clinically feasible technology for assessing chromatin accessibility profiles.


Subject(s)
Chromatin Immunoprecipitation Sequencing/methods , Chromatin , Pancreatic Neoplasms/diagnosis , Pancreatic Neoplasms/genetics , Biomarkers, Tumor , Carcinoma, Pancreatic Ductal/diagnosis , Carcinoma, Pancreatic Ductal/genetics , Carcinoma, Pancreatic Ductal/metabolism , Cell Nucleus , Hepatocyte Nuclear Factor 1-beta/genetics , High-Throughput Nucleotide Sequencing/methods , Humans , Kruppel-Like Transcription Factors/genetics , Pancreatic Neoplasms/metabolism , Prognosis , Transcription Factors , Transcriptome , Pancreatic Neoplasms
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