1. Identification of a ΔNp63-Dependent Basal-Like A Subtype-Specific Transcribed Enhancer Program (B-STEP) in Aggressive Pancreatic Ductal Adenocarcinoma.
- Author
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Wang X, Kutschat AP, Aggrey-Fynn J, Hamdan FH, Graham RP, Wixom AQ, Souto Y, Ladigan-Badura S, Yonkus JA, Abdelrahman AM, Alva-Ruiz R, Gaedcke J, Ströbel P, Kosinsky RL, Wegwitz F, Hermann P, Truty MJ, Siveke JT, Hahn SA, Hessmann E, Johnsen SA, and Najafova Z
- Subjects
- Humans, Precision Medicine, RNA, Gene Expression Regulation, Neoplastic, Pancreatic Neoplasms pathology, Carcinoma, Pancreatic Ductal pathology
- Abstract
A major hurdle to the application of precision oncology in pancreatic cancer is the lack of molecular stratification approaches and targeted therapy for defined molecular subtypes. In this work, we sought to gain further insight and identify molecular and epigenetic signatures of the Basal-like A pancreatic ductal adenocarcinoma (PDAC) subgroup that can be applied to clinical samples for patient stratification and/or therapy monitoring. We generated and integrated global gene expression and epigenome mapping data from patient-derived xenograft models to identify subtype-specific enhancer regions that were validated in patient-derived samples. In addition, complementary nascent transcription and chromatin topology (HiChIP) analyses revealed a Basal-like A subtype-specific transcribed enhancer program in PDAC characterized by enhancer RNA (eRNA) production that is associated with more frequent chromatin interactions and subtype-specific gene activation. Importantly, we successfully confirmed the validity of eRNA detection as a possible histologic approach for PDAC patient stratification by performing RNA-ISH analyses for subtype-specific eRNAs on pathologic tissue samples. Thus, this study provides proof-of-concept that subtype-specific epigenetic changes relevant for PDAC progression can be detected at a single-cell level in complex, heterogeneous, primary tumor material., Implications: Subtype-specific enhancer activity analysis via detection of eRNAs on a single-cell level in patient material can be used as a potential tool for treatment stratification., (©2023 American Association for Cancer Research.)
- Published
- 2023
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