Genomic evolution of pancreatic cancer at single-cell resolution

Most evolutionary studies on pancreatic cancer rely on bulk sequencing, yet clonal evolution happens at the single-cell level. We used single-nucleus DNA sequencing to study 137,491 single nuclei from 24 pancreatic neoplasms reflecting various clinical scenarios. We found higher frequencies of somatic alterations to driver genes that bulk studies indicate; many manifest as copy number alterations and account for the majority of spatial heterogeneity. In pancreatic cancers with canonical KRAS oncogenic mutations, we found likely varied dependence on the genotype that may signify differential response to KRAS inhibition. In pancreatic cancers with germline heterozygous BRCA2 mutations, we discovered varied mechanisms and timing of inactivation of the wild-type allele that sculpted differential evolutionary trajectories. Inactivation of tumor-intrinsic response to transforming growth factor-β happens through various mechanisms, takes place after oncogenesis and coincides with invasion and metastasis, reflecting increasing selective pressure for the phenotype later in pancreatic ductal adenocarcinoma development.

Authors

Institutions

Publication Details

Journal
Nature Genetics
Published
2026-01-22
DOI
https://doi.org/10.1038/s41588-025-02468-9
Citations
1
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
24.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic evolution of pancreatic cancer at single-cell resolution

W. Park, Anne Marie Noronha, Palash Sashittal, Akimasa Hayashi et al.
1 citations
Nature Genetics
Pancreatic and Hepatic Oncology Research
24.20
article

Genomic evolution of pancreatic cancer at single-cell resolution

W. Park, Anne Marie Noronha, Palash Sashittal, Akimasa Hayashi, Akhil Jakatdar, Nicolas LeComte, Marc Hilmi, Amanda Erakky, Nan Pang, Agustin Cardenas, Christine A. Iacobuzio-Donahue, Benjamin J. Raphael, Haochen Zhang, Jungeui Hong, Caitlin A. McIntyre, Alice C. Wei, Shigeaki Umeda, Elias-Ramzey Karnoub
article en
1 citations

Abstract

Most evolutionary studies on pancreatic cancer rely on bulk sequencing, yet clonal evolution happens at the single-cell level. We used single-nucleus DNA sequencing to study 137,491 single nuclei from 24 pancreatic neoplasms reflecting various clinical scenarios. We found higher frequencies of somatic alterations to driver genes that bulk studies indicate; many manifest as copy number alterations and account for the majority of spatial heterogeneity. In pancreatic cancers with canonical KRAS oncogenic mutations, we found likely varied dependence on the genotype that may signify differential response to KRAS inhibition. In pancreatic cancers with germline heterozygous BRCA2 mutations, we discovered varied mechanisms and timing of inactivation of the wild-type allele that sculpted differential evolutionary trajectories. Inactivation of tumor-intrinsic response to transforming growth factor-β happens through various mechanisms, takes place after oncogenesis and coincides with invasion and metastasis, reflecting increasing selective pressure for the phenotype later in pancreatic ductal adenocarcinoma development.

Nature GeneticsVol. 58(2)
Rutgers, The State University of New Jersey (US), Brigham and Women's Hospital (US), Memorial Sloan Kettering Cancer Center (US), Kyorin University (JP), Princeton University (US), Cornell University (US), Johnson University (US), Weill Cornell Medicine (US), Institut Curie (FR), Virginia Tech (US)
Princeton University, Cycle for Survival, Daiichi-Sankyo, Ligue Contre le Cancer, Fondation de France, Mochida Memorial Foundation for Medical and Pharmaceutical Research, Servier, Institut Servier, National Institutes of Health, Stand Up To Cancer, National Cancer Institute
Openalex Percentile: Top 2%
Pancreatic and Hepatic Oncology Research
24.20
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.