Transcriptomic Plasticity is a Hallmark of Metastatic Pancreatic Cancer

Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting metastatic progression, a better understanding of how tumor cells adapt to vastly different organ contexts is needed. To investigate this question, a single-cell transcriptomic atlas of primary tumor and diverse metastatic samples (liver, omentum, peritoneum, stomach wall, lymph node, and diaphragm) from a patient with pancreatic ductal adenocarcinoma who underwent rapid autopsy was generated. Using unsupervised archetype analysis, both shared and site-specific gene programs were identified, including lipid metabolism and gastrointestinal programs prevalent in peritoneal and stomach wall lesions, respectively. We developed PICASSO as a probabilistic approach for inferring clonal phylogeny from single-cell and matched whole-exome sequencing data. Comparison of PICASSO-generated clonal structure with phenotypic signatures revealed that pancreatic cancer cells adapted to local environments with minimal contribution from clonal genotype. Our results suggest a paradigm whereby strong environmental effects are imposed on highly plastic cancer cells during metastatic dissemination.

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Publication Details

Journal
Cancer Research
Published
2025-12-11
DOI
https://doi.org/10.1158/0008-5472.can-25-1117
Citations
1
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
1.05
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article

Transcriptomic Plasticity is a Hallmark of Metastatic Pancreatic Cancer

Arnav Mehta, Alejandro Jiménez-Sánchez, Itsik Pe’er, Feiyang Zhu et al.
1 citations
Cancer Research
Cancer Cells and Metastasis
1.05
article

Transcriptomic Plasticity is a Hallmark of Metastatic Pancreatic Cancer

Arnav Mehta, Alejandro Jiménez-Sánchez, Itsik Pe’er, Feiyang Zhu, Akimasa Hayashi, Wungki Park, Ignas Masilionis, Yubin Xie, Christine A. Iacobuzio–Donahue, Tal Nawy, Roshan Sharma, Sitara Persad, Linas Mažutis, Dana Pe’er, Eileen Mary O'Reilly, Tinyi Chu, Ronan Chaligné, Jungeui Hong, Shigeaki Umeda
article en
1 citations

Abstract

Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting metastatic progression, a better understanding of how tumor cells adapt to vastly different organ contexts is needed. To investigate this question, a single-cell transcriptomic atlas of primary tumor and diverse metastatic samples (liver, omentum, peritoneum, stomach wall, lymph node, and diaphragm) from a patient with pancreatic ductal adenocarcinoma who underwent rapid autopsy was generated. Using unsupervised archetype analysis, both shared and site-specific gene programs were identified, including lipid metabolism and gastrointestinal programs prevalent in peritoneal and stomach wall lesions, respectively. We developed PICASSO as a probabilistic approach for inferring clonal phylogeny from single-cell and matched whole-exome sequencing data. Comparison of PICASSO-generated clonal structure with phenotypic signatures revealed that pancreatic cancer cells adapted to local environments with minimal contribution from clonal genotype. Our results suggest a paradigm whereby strong environmental effects are imposed on highly plastic cancer cells during metastatic dissemination.

Cancer Research
Memorial Sloan Kettering Cancer Center (US), Vilnius University (LT), Kyorin University (JP), Massachusetts General Hospital (US), University of Missouri (US), Columbia University (US)
Openalex Percentile: Top 15%
Cancer Cells and Metastasis
1.05
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