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

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-03-04
DOI
https://doi.org/10.1038/s41467-026-69762-w
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Fraser Duthie, Xiaotong He, Alessandra Pulvirenti, Antonio Pea et al.
Nature Communications
Pancreatic and Hepatic Oncology Research
article

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

Fraser Duthie, Xiaotong He, Alessandra Pulvirenti, Antonio Pea, Andrew V. Biankin, Leonor Patricia Schubert Santana, David C Wedge, Claudio Luchini, Rita T. Lawlor, Selma Rebus, Fieke E. M. Froeling, David K. Chang, Roberto Salvia, Rosie Upstill-Goddard, Aldo Scarpa, Colin J. McKay, Paola Piccoli, Nigel B. Jamieson, Nicola Sperandio, Michele Milella, Euan J. Dickson
article en

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.

Nature Communications
University of Verona (IT), University of Padua (IT), Glasgow Royal Infirmary (GB), Cancer Research UK Manchester Institute (GB), Queen Elizabeth University Hospital (GB), NIHR Manchester Biomedical Research Centre (GB), Cancer Research UK Manchester Centre, University of Glasgow (GB)
Good health and well-being
Openalex Percentile: Top 35%
Pancreatic and Hepatic Oncology Research
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.