Opposing roles for ADAMTS2 and ADAMTS14 in myofibroblast differentiation and function

Edward P. Carter, Kubra K. Yoneten, Nuria Gavara, Eleanor J. Tyler, Valentine Gauthier, Elizabeth R. Murray, Peter ten Dijke, Angus J. Cameron, Oliver Pearce, Richard P. Grose

Research output: Contribution to journalArticlepeer-review

1 Citation (SciVal)

Abstract

Crosstalk between cancer and stellate cells is pivotal in pancreatic cancer, resulting in differentiation of stellate cells into myofibroblasts that drives tumour progression. To assess cooperative mechanisms in a 3D context, we generated chimeric spheroids using human and mouse cancer and stellate cells. Species-specific deconvolution of bulk-RNA sequencing data revealed cell type-specific transcriptomes underpinning invasion. This dataset highlighted stellate-specific expression of transcripts encoding the collagen-processing enzymes ADAMTS2 and ADAMTS14. Strikingly, loss of ADAMTS2 reduced, while loss of ADAMTS14 promoted, myofibroblast differentiation and invasion independently of their primary role in collagen-processing. Functional and proteomic analysis demonstrated that these two enzymes regulate myofibroblast differentiation through opposing roles in the regulation of transforming growth factor β availability, acting on the protease-specific substrates, Serpin E2 and fibulin 2, for ADAMTS2 and ADAMTS14, respectively. Showcasing a broader complexity for these enzymes, we uncovered a novel regulatory axis governing malignant behaviour of the pancreatic cancer stroma.

Original languageEnglish
Pages (from-to)90-104
Number of pages15
JournalThe Journal of Pathology
Volume262
Issue number1
Early online date6 Nov 2023
DOIs
Publication statusPublished - 31 Jan 2024

Bibliographical note

Funding Information:
We thank the CMR Advanced Bio‐Imaging Facility at QMUL and Microscopy Core Facility at BCI for the use, help, and advice with microscopy. We thank Luke Gammon and the QMUL Phenotypic Screening Facility for help with high content imaging. We thank Chaz Mein and the Genomics Core at QMUL for assistance with RNA sequencing. We thank Vinothini Rajeeve and the Mass Spectrometry Core Facility at BCI for help with proteomics. EC was funded by CRUK (A27781), KY was supported by a Barts Charity Grant (G‐002189). This work was also funded by a Cancer Research UK Centre Grant to Barts Cancer Institute (A25137).

Funding

We thank the CMR Advanced Bio‐Imaging Facility at QMUL and Microscopy Core Facility at BCI for the use, help, and advice with microscopy. We thank Luke Gammon and the QMUL Phenotypic Screening Facility for help with high content imaging. We thank Chaz Mein and the Genomics Core at QMUL for assistance with RNA sequencing. We thank Vinothini Rajeeve and the Mass Spectrometry Core Facility at BCI for help with proteomics. EC was funded by CRUK (A27781), KY was supported by a Barts Charity Grant (G‐002189). This work was also funded by a Cancer Research UK Centre Grant to Barts Cancer Institute (A25137). We thank the CMR Advanced Bio-Imaging Facility at QMUL and Microscopy Core Facility at BCI for the use, help, and advice with microscopy. We thank Luke Gammon and the QMUL Phenotypic Screening Facility for help with high content imaging. We thank Chaz Mein and the Genomics Core at QMUL for assistance with RNA sequencing. We thank Vinothini Rajeeve and the Mass Spectrometry Core Facility at BCI for help with proteomics. EC was funded by CRUK (A27781), KY was supported by a Barts Charity Grant (G-002189). This work was also funded by a Cancer Research UK Centre Grant to Barts Cancer Institute (A25137).

FundersFunder number
Cancer Research UK Centre
Mass Spectrometry Core Facility
Cancer Research UKG‐002189, A27781
Barts Cancer InstituteA25137

Keywords

  • 3D in vitro models
  • TGFβ
  • cancer invasion
  • cancer-associated fibroblasts
  • cellular cross talk
  • extracellular matrix
  • myofibroblast
  • pancreatic cancer
  • protease

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

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