| Title |
Transcriptomic plasticity is a hallmark of metastatic pancreatic cancer |
| Authors |
Jiménez-Sánchez, Alejandro ; Persad, Sitara ; Hayashi, Akimasa ; Umeda, Shigeaki ; Sharma, Roshan ; Xie, Yubin ; Mehta, Arnav ; Park, Wungki ; Masilionis, Ignas ; Chu, Tinyi ; Zhu, Feiyang ; Hong, Jungeui ; Chaligne, Ronan ; O’Reilly, Eileen M ; Mažutis, Linas ; Nawy, Tal ; Pe’er, Itsik ; Iacobuzio-Donahue, Christine A ; Pe'er, Dana |
| DOI |
10.1158/0008-5472.CAN-25-1117 |
| Full Text |
|
| Is Part of |
Cancer research.. Philadelphia : American Association for Cancer Research (AACR). 2025, Early Access, p. [1-59].. ISSN 0008-5472. eISSN 1538-7445 |
| Keywords [eng] |
cancer metastasis ; single-cell transcriptomics ; tumor cell plasticity |
| Abstract [eng] |
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. |
| Published |
Philadelphia : American Association for Cancer Research (AACR) |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|