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Clinical functional proteomics of intercellular signalling in pancreatic cancer.

Authors :
Huang P
Gao W
Fu C
Wang M
Li Y
Chu B
He A
Li Y
Deng X
Zhang Y
Kong Q
Yuan J
Wang H
Shi Y
Gao D
Qin R
Hunter T
Tian R
Source :
Nature [Nature] 2024 Nov 13. Date of Electronic Publication: 2024 Nov 13.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

Pancreatic ductal adenocarcinoma (PDAC) has an atypical, highly stromal tumour microenvironment (TME) that profoundly contributes to its poor prognosis <superscript>1</superscript> . Here, to better understand the intercellular signalling between cancer and stromal cells directly in PDAC tumours, we developed a multidimensional proteomic strategy called TMEPro. We applied TMEPro to profile the glycosylated secreted and plasma membrane proteome of 100 human pancreatic tissue samples to a great depth, define cell type origins and identify potential paracrine cross-talk, especially that mediated through tyrosine phosphorylation. Temporal dynamics during pancreatic tumour progression were investigated in a genetically engineered PDAC mouse model. Functionally, we revealed reciprocal signalling between stromal cells and cancer cells mediated by the stromal PDGFR-PTPN11-FOS signalling axis. Furthermore, we examined the generic shedding mechanism of plasma membrane proteins in PDAC tumours and revealed that matrix-metalloprotease-mediated shedding of the AXL receptor tyrosine kinase ectodomain provides an additional dimension of intercellular signalling regulation in the PDAC TME. Importantly, the level of shed AXL has a potential correlation with lymph node metastasis, and inhibition of AXL shedding and its kinase activity showed a substantial synergistic effect in inhibiting cancer cell growth. In summary, we provide TMEPro, a generically applicable clinical functional proteomic strategy, and a comprehensive resource for better understanding the PDAC TME and facilitating the discovery of new diagnostic and therapeutic targets.<br />Competing Interests: Competing interests R.T. is a founder of BayOmics.<br /> (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Details

Language :
English
ISSN :
1476-4687
Database :
MEDLINE
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
39537929
Full Text :
https://doi.org/10.1038/s41586-024-08225-y