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Functional discovery of targetable dependencies in recurrent glioblastoma

Authors :
Sheila Singh
Chirayu Chokshi
David Tieu
Kevin Brown
Chitra Venugopal
Martin Rossotti
Katherine Chan
Amy Tong
Laura Kuhlmann
Lina Liu
Benjamin Brakel
Vaseem Shaikh
William Maich
Yujin Suk
Daniel Mobilio
Neil Savage
Nikoo Aghaei
Minomi Subapanditha
Dillon McKenna
Vladimir Ignatchenko
Joseph Salamoun
Peter Wipf
Elizabeth Sharlow
John Provias
Jian-Qiang Lu
Naresh Murty
John Lazo
Thomas Kislinger
Kevin Henry
Yu Lu
Jason Moffat
Publication Year :
2022
Publisher :
Research Square Platform LLC, 2022.

Abstract

Resistance to genotoxic therapies and tumor recurrence are hallmarks of glioblastoma (GBM), an aggressive brain tumor. Here, we explore the functional drivers of post-treatment recurrent GBM. By conducting genome-wide CRISPR-Cas9 screens in patient-derived GBM models, we uncover distinct genetic dependencies in recurrent tumor cells that were absent in their patient-matched primary predecessors, accompanied by increased mutational burden and differential transcript and protein expression. These analyses map a multilayered genetic response to drive tumor recurrence, identifying protein tyrosine phosphatase 4A2 (PTP4A2) as a novel modulator of self-renewal, proliferation and tumorigenicity at GBM recurrence. Mechanistically, genetic perturbation or small molecule inhibition of PTP4A2 represses axon guidance activity through a dephosphorylation axis with roundabout guidance receptor 1 (ROBO1), exploiting a functional dependency on ROBO signaling. Importantly, engineered anti-ROBO1 single-domain antibodies also mimic the effects of PTP4A2 inhibition. We conclude that functional reprogramming drives tumorigenicity and dependence on a multi-targetable PTP4A2-ROBO1 signaling axis at GBM recurrence.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........934ca2c72f06c0fdd3cbf32e27e60300