Language
English
Publication Date
4-14-2025
Journal
Cancer Cell
DOI
10.1016/j.ccell.2025.03.016
PMID
40185092
Abstract
The majority of neuroendocrine neoplasms in pancreas are non-functional pancreatic neuroendocrine tumors (NF-PanNETs), which exhibit a high occurrence of distant metastases with limited therapeutic options. Here, we perform a comprehensive molecular characterization of 108 NF-PanNETs through integrative analysis of genomic, transcriptomic, proteomic, and phosphoproteomic profiles. Proteogenomic analysis provides functional insights into the genomic driver alterations of NF-PanNETs, revealing a potential mediator of MEN1 alterations using Men1-conditional knockout mice. Machine-learning-based modeling uncovers a three-protein signature as an independent prognostic factor, which is validated by an independent external cohort. Proteomic and phosphoproteomic-based stratification identifies four subtypes with distinct molecular characteristics, immune microenvironments, and clinicopathological features. Drug screening using patient-derived tumor organoids identifies cyclin-dependent kinase (CDK) 5 and Calcium Voltage-Gated Channel Subunit Alpha1 D (CACNA1D) as ubiquitous and subtype-specific targets, respectively, with in vivo validation using xenograft models. Together, our proteogenomic analyses illustrate a comprehensive molecular landscape of NF-PanNETs, revealing biological insights and therapeutic vulnerabilities.
Keywords
Pancreatic Neoplasms, Humans, Proteogenomics, Animals, Mice, Neuroendocrine Tumors, Mice, Knockout, Tumor Microenvironment, Female, Male, Proteomics, Prognosis, Proto-Oncogene Proteins
Published Open-Access
yes
Recommended Citation
Ji, Shunrong; Cao, Lihua; Gao, Jing; et al., "Proteogenomic Characterization of Non-Functional Pancreatic Neuroendocrine Tumors Unravels Clinically Relevant Subgroups" (2025). Faculty and Staff Publications. 5124.
https://digitalcommons.library.tmc.edu/baylor_docs/5124
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