Abstract B106: Elucidating the clonal dynamics and epigenetic regulators of PDAC initiation in inducible neoplastic organoid models

Abstract Pancreatic intraepithelial neoplasms (PanINs), precursor lesions of pancreatic ductal adenocarcinoma (PDAC) that are abundant healthy individuals, rarely progress to cancer despite universally possessing many of the driver alterations associated with malignancy. Recent single cell profiling efforts of PanIN progression in vivo have described marked heterogeneity in chromatin accessibility and transcriptional identity within these neoplasias, but it remains unclear how discrete epigenetic factors play a role in shaping tumorigenesis, or what distinguishes rare neoplastic cells capable of seeding invasive carcinomas from their benign neighbors. Given that more than 80% of patients with PDAC present with unresectable or metastatic disease, further studies on the molecular features of PanIN progression are needed to enable methods of early detection and intervention. Unfortunately, owing to their microscopic size and challenges associated with the isolation of PanINs from surrounding normal epithelium and stroma, it is particularly difficult to address these knowledge gaps in vivo. By generating complex murine derived organoid models, we have built a system that allows us to faithfully reconstitute the evolution from benign PanIN to PDAC in vitro, as well as in vivo through orthotopic implantation into syngeneic mice. As they are easily perturbable, readily generate large amounts of biomass, and closely resemble the stages of PDAC initiation in vivo, these models can be leveraged to directly assay how chromatin remodelers influence malignant transformation. Further, pairing these organoids with our highly multiplexed, transcribable DNA barcoding system and single cell epi multiomics will enable us to study the evolutionary dynamics, chromatin landscapes, and transcriptional identities of clonal populations of PanIN organoids as they progress to cancer. Through these studies, we will gain unprecedented insights into the underpinnings of PDAC initiation, and thus may open up new avenues for the early detection of tumorigenesis. Citation Format: Connor J. Hennessey, Minh T. Than, Ben Z. Stanger, Sydney M. Shaffer. Elucidating the clonal dynamics and epigenetic regulators of PDAC initiation in inducible neoplastic organoid models [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research—Emerging Science Driving Transformative Solutions; Boston, MA; 2025 Sep 28-Oct 1; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_3):Abstract nr B106.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-09-28
DOI
https://doi.org/10.1158/1538-7445.pancreatic25-b106
Primary Topic
Protein Degradation and Inhibitors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract B106: Elucidating the clonal dynamics and epigenetic regulators of PDAC initiation in inducible neoplastic organoid models

Connor J. Hennessey, Sydney M. Shaffer, Ben Z. Stanger, Minh T. Than
Cancer Research
Protein Degradation and Inhibitors
article

Abstract B106: Elucidating the clonal dynamics and epigenetic regulators of PDAC initiation in inducible neoplastic organoid models

Connor J. Hennessey, Sydney M. Shaffer, Ben Z. Stanger, Minh T. Than
article en

Abstract

Abstract Pancreatic intraepithelial neoplasms (PanINs), precursor lesions of pancreatic ductal adenocarcinoma (PDAC) that are abundant healthy individuals, rarely progress to cancer despite universally possessing many of the driver alterations associated with malignancy. Recent single cell profiling efforts of PanIN progression in vivo have described marked heterogeneity in chromatin accessibility and transcriptional identity within these neoplasias, but it remains unclear how discrete epigenetic factors play a role in shaping tumorigenesis, or what distinguishes rare neoplastic cells capable of seeding invasive carcinomas from their benign neighbors. Given that more than 80% of patients with PDAC present with unresectable or metastatic disease, further studies on the molecular features of PanIN progression are needed to enable methods of early detection and intervention. Unfortunately, owing to their microscopic size and challenges associated with the isolation of PanINs from surrounding normal epithelium and stroma, it is particularly difficult to address these knowledge gaps in vivo. By generating complex murine derived organoid models, we have built a system that allows us to faithfully reconstitute the evolution from benign PanIN to PDAC in vitro, as well as in vivo through orthotopic implantation into syngeneic mice. As they are easily perturbable, readily generate large amounts of biomass, and closely resemble the stages of PDAC initiation in vivo, these models can be leveraged to directly assay how chromatin remodelers influence malignant transformation. Further, pairing these organoids with our highly multiplexed, transcribable DNA barcoding system and single cell epi multiomics will enable us to study the evolutionary dynamics, chromatin landscapes, and transcriptional identities of clonal populations of PanIN organoids as they progress to cancer. Through these studies, we will gain unprecedented insights into the underpinnings of PDAC initiation, and thus may open up new avenues for the early detection of tumorigenesis. Citation Format: Connor J. Hennessey, Minh T. Than, Ben Z. Stanger, Sydney M. Shaffer. Elucidating the clonal dynamics and epigenetic regulators of PDAC initiation in inducible neoplastic organoid models [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research—Emerging Science Driving Transformative Solutions; Boston, MA; 2025 Sep 28-Oct 1; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_3):Abstract nr B106.

Cancer ResearchVol. 85(18_Supplement_3)
University of Pennsylvania (US), Philadelphia University (US)
Openalex Percentile: Top 77%
Protein Degradation and Inhibitors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.