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March 5, 2026Nature Communications1 citationsOpen Access

Clonal evolutionary analysis reveals patterns of malignant transformation of Intraductal Papillary Mucinous Neoplasms of the pancreas

APAntonio PeaXHXiaotong HeRURosie Upstill-Goddard

Key Points

  • To trace the evolutionary dynamics of intraductal papillary mucinous neoplasms and identify pathways leading to malignancy.
  • Conducted multi-region whole-genome and transcriptome sequencing of IPMNs.
  • Constructed phylogenetic trees to analyze clonal architectures.
  • Identified mutational signatures and structural variants associated with evolution.
  • Analyzed gene expression profiles and immune landscape variations.
  • Identified two distinct evolutionary trajectories in IPMN growth.
  • One trajectory was driven by a single ancestral clone, while the other involved multiple independent clones.
  • Found variations in gene expression and immune characteristics correlated to progression stages of IPMN.

Abstract

Abstract Intraductal papillary mucinous neoplasms (IPMNs) are critical precursors to pancreatic ductal adenocarcinoma, a highly lethal cancer characterized by late detection and rapid progression. Here we integrate multi-region whole-genome and transcriptome sequencing to trace the evolution of IPMN, constructing detailed phylogenetic trees to provide insights into subclonal architectures and progression pathways. Our analysis identifies two distinct evolutionary trajectories: one driven by a single ancestral clone, and another involving multiple independent ancestral clones. We further explore the roles of mutational signatures and structural variants in promoting clonal evolution and the emergence of new subclones. Complementing these genomic findings, our transcriptomic analysis reveals unique gene expression profiles and variations in the immune landscape that correlate with different progression stages of IPMN. These insights reveal the complex molecular dynamics of IPMN heterogeneity and progression, highlighting the need to refine early detection and treatment strategies.

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Cite This Study

Pea et al. (2026) studied this question.

synapsesocial.com/papers/69a91dedd6127c7a504c139bhttps://doi.org/10.1038/s41467-026-69762-w
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