Targeting axonal guidance dependencies in glioblastoma with ROBO1 CAR-T cells
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
Dr. Thomas Kislinger
PROVIDER: MSV000094876 | MassIVE | Mon May 27 08:16:00 BST 2024
REPOSITORIES: MassIVE
Similar Datasets
Project description:Resistance to genotoxic therapies and tumor recurrence are hallmarks of glioblastoma (GBM), an aggressive brain tumor. Here, we explore functional drivers of post-treatment recurrent GBM. By conducting genome-wide CRISPR-Cas9 knockout screens in patient-derived GBM models, we uncover distinct genetic dependencies in recurrent tumor cells 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. Genetic perturbation or small molecule inhibition of PTP4A2 activity 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 mimic effects of PTP4A2 inhibition. Since a pan-PTP4A inhibitor was limited by poor penetrance across the blood brain barrier (BBB) in vivo, a second-generation chimeric antigen receptor (CAR)-T cell therapy was engineered against ROBO1 that elicits specific and potent anti-tumor responses in vivo. A single dose of anti-ROBO1 CAR-T cells doubles median survival in patient-derived xenograft (PDX) models of recurrent glioblastoma, and also eradicates tumors in ~50% of mice in PDX models of adult lung-to-brain metastases and pediatric relapsed medulloblastoma. We conclude that functional reprogramming drives tumorigenicity and dependence on a multi-targetable PTP4A-ROBO1 signaling axis at GBM recurrence, with potential in other malignant brain tumors.
2024-08-30 | GSE240490 | GEO
Project description:Resistance to genotoxic therapies and tumor recurrence are hallmarks of glioblastoma (GBM), an aggressive brain tumor. Here, we explore functional drivers of post-treatment recurrent GBM. By conducting genome-wide CRISPR-Cas9 knockout screens in patient-derived GBM models, we uncover distinct genetic dependencies in recurrent tumor cells 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. Genetic perturbation or small molecule inhibition of PTP4A2 activity 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 mimic effects of PTP4A2 inhibition. Since a pan-PTP4A inhibitor was limited by poor penetrance across the blood brain barrier (BBB) in vivo, a second-generation chimeric antigen receptor (CAR)-T cell therapy was engineered against ROBO1 that elicits specific and potent anti-tumor responses in vivo. A single dose of anti-ROBO1 CAR-T cells doubles median survival in patient-derived xenograft (PDX) models of recurrent glioblastoma, and also eradicates tumors in ~50% of mice in PDX models of adult lung-to-brain metastases and pediatric relapsed medulloblastoma. We conclude that functional reprogramming drives tumorigenicity and dependence on a multi-targetable PTP4A-ROBO1 signaling axis at GBM recurrence, with potential in other malignant brain tumors.
2024-08-07 | GSE240418 | GEO
Project description:The paper describes a model of glioblastoma.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Modeling the Treatment of Glioblastoma Multiforme and Cancer Stem Cells with Ordinary Differential Equations
Kristen Abernathy and Jeremy Burke BMC
Computational and Mathematical Methods in Medicine Volume 2016, Article ID 1239861, 11 pages
Abstract:
Despite improvements in cancer therapy and treatments, tumor recurrence is a common event in cancer patients. One explanation of recurrence is that cancer therapy focuses on treatment of tumor cells and does not eradicate cancer stem cells (CSCs). CSCs are postulated to behave similar to normal stem cells in that their role is to maintain homeostasis. That is, when the population of tumor cells is reduced or depleted by treatment, CSCs will repopulate the tumor, causing recurrence. In this paper, we study the application of the CSC Hypothesis to the treatment of glioblastoma multiforme by immunotherapy. We extend the work of Kogan et al. (2008) to incorporate the dynamics of CSCs, prove the existence of a recurrence state, and provide an analysis of possible cancerous states and their dependence on treatment levels.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000757 | BioModels
Project description:We compared gene expression profile between healthy-donor peripheral monocytes and glioblastoma-patient peripheral monocytes as well as glioblastoma-patient peripheral monocytes with matched tumor-infiltrating myeloid cells.
2016-01-23 | GSE77043 | GEO
Project description:Glioblastoma multiforme (GBM) is a highly aggressive and malignant brain tumor with limited therapeutic options and poor prognosis. Despite current treatments, the invasive nature of GBM often leads to recurrence. A promising alternative strategy is to harness the immune system's potential against tumor cells. Our previous data showed a B-cell-based vaccine, BVax, can provide a promising therapeutic potential for GBM. In this study, we aim to characterize the antigenic reactivity of BVax-derived antibodies and evaluate their therapeutic potential. We performed immunoproteomics and functional assays in murine models and human GBM patient samples.
2024-09-10 | PXD046712 | Pride
Project description:Paired samples of resected tumor from glioblastoma patients: Pre and post Avastin-treatment samples for each patient in the cohort.
2012-09-30 | E-MEXP-3296 | biostudies-arrayexpress
Project description:Recurrence of solid tumors renders patients vulnerable to a distinctly advanced, highly treatment-refractory disease state that has an increased mutational burden and novel oncogenic drivers not detected at initial diagnosis. Improving outcomes for recurrent cancers requires a better understanding of cancer cell populations that expand from the post-therapy, minimal residual disease (MRD) state. We profiled barcoded tumor cell populations through therapy at tumor initiation/engraftment, MRD and recurrence in our therapy-adapted, patient-derived xenograft models of glioblastoma (GBM). Tumors showed distinct patterns of recurrence in which clonal populations exhibited either an a priori, pre-existing fitness advantage, or a priori equipotency fitness acquired through therapy. Characterization of the MRD state by single-cell and bulk RNA sequencing revealed a tumor-intrinsic immunomodulatory signature with strong prognostic significance at the transcriptomic level and in proteomic analysis of cerebrospinal fluid (CSF) collected from GBM patients at all stages of disease. Our results provide insight into the innate and therapy-driven dynamics of human GBM, and the prognostic value of interrogating the MRD state in solid cancers.
2023-01-23 | GSE195680 | GEO
Project description:The neural behavior of glioblastoma, including the formation of tumor microtubes and synaptic circuitry, is increasingly understood to be pivotal for disease manifestation (Osswald et al. 2015; Venkatesh et al. 2015; Weil et al. 2017; Venkataramani et al. 2019; Venkatesh et al. 2019; Alcantara Llaguno et al. 2019; Venkataramani et al. 2022). Nonetheless, the few approved treatments for glioblastoma target its oncological nature, while its neural vulnerabilities remain incompletely mapped and clinically unexploited. Here, we systematically survey the neural molecular dependencies and cellular heterogeneity across 27 glioblastoma patients and diverse model systems. In patient tumor samples taken directly after surgery, we identify a spectrum of neural stem cell morphologies indicative of poor prognosis, and discover a set of repurposable neuroactive drugs with unexpected and consistent anti-glioma efficacy. Glioblastoma cells exhibit functional dependencies on highly expressed drug targets including neurological ion channels and receptors, while interpretable molecular machine learning reveals downstream convergence on secondary drug targets (COSTAR) involving AP-1-driven tumor suppression. COSTAR enables in silico drug screening on >1 million compounds that are validated with high accuracy. Multi-omic profiling of drug-treated glioblastoma cells confirms rapid Ca2+-driven AP-1 pathway induction to represent a tumor-intrinsic vulnerability at the intersection of oncogenesis and neural activity-dependent signaling. Finally, the consistent anti-glioma activity across patients and model systems is epitomized by the antidepressant Vortioxetine, which synergizes in vivo with approved glioblastoma chemotherapies. In all, our global analysis reveals that the neural vulnerabilities of glioblastoma converge on an AP-1 mediated gene regulatory network with direct translatable potential.
2024-08-01 | PXD037015 | panorama
Project description:Recurrence of solid tumors renders patients vulnerable to a distinctly advanced, highly treatment-refractory disease state that has an increased mutational burden and novel oncogenic drivers not detected at initial diagnosis. Improving outcomes for recurrent cancers requires a better understanding of cancer cell populations that expand from the post-therapy, minimal residual disease (MRD) state. We profiled barcoded tumor cell populations through therapy at tumor initiation/engraftment, MRD and recurrence in our therapy-adapted, patient-derived xenograft models of glioblastoma (GBM). Tumors showed distinct patterns of recurrence in which clonal populations exhibited either an a priori, pre-existing fitness advantage, or a priori equipotency fitness acquired through therapy. Characterization of the MRD state by single-cell and bulk RNA sequencing revealed a tumor-intrinsic immunomodulatory signature with strong prognostic significance at the transcriptomic level and in proteomic analysis of cerebrospinal fluid (CSF) collected from GBM patients at all stages of disease. Our results provide insight into the innate and therapy-driven dynamics of human GBM, and the prognostic value of interrogating the MRD state in solid cancers.
2023-01-23 | GSE195681 | GEO
Project description:Recurrence of solid tumors renders patients vulnerable to a distinctly advanced, highly treatment-refractory disease state that has an increased mutational burden and novel oncogenic drivers not detected at initial diagnosis. Improving outcomes for recurrent cancers requires a better understanding of cancer cell populations that expand from the post-therapy, minimal residual disease (MRD) state. We profiled barcoded tumor cell populations through therapy at tumor initiation/engraftment, MRD and recurrence in our therapy-adapted, patient-derived xenograft models of glioblastoma (GBM). Tumors showed distinct patterns of recurrence in which clonal populations exhibited either an a priori, pre-existing fitness advantage, or a priori equipotency fitness acquired through therapy. Characterization of the MRD state by single-cell and bulk RNA sequencing revealed a tumor-intrinsic immunomodulatory signature with strong prognostic significance at the transcriptomic level and in proteomic analysis of cerebrospinal fluid (CSF) collected from GBM patients at all stages of disease. Our results provide insight into the innate and therapy-driven dynamics of human GBM, and the prognostic value of interrogating the MRD state in solid cancers.
2023-01-23 | GSE195682 | GEO