Evidence map›Paper›PMID 39756423›Full record

ArticleNeuro-oncology2025

Genome-wide CRISPR-Cas9 screens identify BCL family members as modulators of response to regorafenib in experimental glioma.

Lara Annina Haeusser, Hannes Becker, Laurence Kuhlburger, Marcello Zago, Bianca Walter, Foteini Tsiami, Sarah Erdmann, Jil Trampert, Surender Surender, Aaron Stahl and 11 more

Abstract read
In one paragraph

Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Kinase-Targeted Therapies for Glioblastoma.International journal of molecular sciences · 2025
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Lara Annina HaeusserCluster of Excellence (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University of Tübingen, Tübingen, Germany.ORCID 0000-0002-3288-4280
Hannes BeckerCenter for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, Eberhard Karls University Tübingen, Tübingen, Germany.
Laurence KuhlburgerBiomedical Data Science, Department of Computer Science, Eberhard Karls University Tübingen, Tübingen, Germany.
Marcello ZagoInstitute of Biomedical Informatics, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.
Bianca WalterCluster of Excellence (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University of Tübingen, Tübingen, Germany.
Foteini TsiamiCluster of Excellence (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University of Tübingen, Tübingen, Germany.
Sarah ErdmannCluster of Excellence (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University of Tübingen, Tübingen, Germany.
Jil TrampertCluster of Excellence (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University of Tübingen, Tübingen, Germany.
Surender SurenderCluster of Excellence (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University of Tübingen, Tübingen, Germany.
Aaron StahlNMI, Natural and Medical Sciences Institute, University of Tübingen, Reutlingen, Germany.
Markus TemplinNMI, Natural and Medical Sciences Institute, University of Tübingen, Reutlingen, Germany.
Eileen WegnerNMI, Natural and Medical Sciences Institute, University of Tübingen, Reutlingen, Germany.
Tobias SchmidtNMI, Natural and Medical Sciences Institute, University of Tübingen, Reutlingen, Germany.
Christian SchmeesNMI, Natural and Medical Sciences Institute, University of Tübingen, Reutlingen, Germany.
Nicolas CasadeiInstitute of Medical Genetics and Applied Genomics, Eberhard Karls University Tübingen, Tübingen, Germany.
Lisa SevenichM3 Research Center for Malignome, Metabolome and Microbiome, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany.
Manfred ClaassenInstitute of Biomedical Informatics, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.
Sven NahnsenM3 Research Center for Malignome, Metabolome and Microbiome, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany.ORCID 0000-0002-4375-0691
Susanne BeckCluster of Excellence (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University of Tübingen, Tübingen, Germany.
Daniel Josef MerkCluster of Excellence (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University of Tübingen, Tübingen, Germany.
Ghazaleh TabatabaiCenter for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, Eberhard Karls University Tübingen, Tübingen, Germany.ORCID 0000-0002-3542-8782

Funding

Adolf Leuze StiftungDeutsche ForschungsgemeinschaftElse Kröner Forschungskolleg 2019_Kolleg_14Germany's Excellence Strategy, Cluster of Excellence 390900677Germany's Excellence Strategy, Cluster of Excellence EXC 2180Medical Faculty Tübingen (Demonstratorprojekt Personalisierte Medizin and NWG program)
6 · The paper itself

Abstract

backgroundRegistered systemic treatment options for glioblastoma patients are limited. The phase II REGOMA trial suggested an improvement of median overall survival in progressive glioblastoma by the multi-tyrosine kinase inhibitor regorafenib. This has not been confirmed by GBM AGILE. So far, regorafenib has been administered as monotherapy or as an addition to standard of care in newly diagnosed glioblastoma. Rational combination therapies involving regorafenib might be a reasonable strategy. Here, we aimed at identifying functionally instructed combination therapies involving regorafenib.

methodsWe applied a genome-wide CRISPR-Cas9-based functional genomics target discovery approach using activation and knockout screens followed by genetic, pharmacological, functional validations. Regorafenib-induced molecular alterations were assessed by RNA sequencing and DigiWest. We investigated selected functionally instructed combination therapies in three orthotopic glioma mouse models in vivo (syngeneic SMA560/VM/Dk model and two xenograft models) and performed immunohistochemistry of post-treatment brains.

resultsWe identified potential modifiers of regorafenib response, including BCL2, BCL2L1, ITGB3, FOXC1, SERAC1, ARAF, and PLCE1. The combination of regorafenib with Bcl-2/Bcl-xL inhibition was superior to both monotherapies alone in vitro, ex vivo, and in vivo. We identified regorafenib-induced regulations of the Bcl-2 downstream target chemokine receptor 1 (CCR1) as one potential underlying molecular mediator. Furthermore, regorafenib led to changes in the myeloid compartment of the glioma-associated microenvironment.

conclusionsThis preclinical study uses a functional genomics-based target discovery approach with subsequent validations involving regorafenib. It serves as a biological rationale for clinical translation. Particularly, an investigation of the combination of regorafenib plus navitoclax within a clinical trial is warranted.

Indexed as

Brain NeoplasmsCRISPR-Cas SystemsGliomaPhenylurea CompoundsProto-Oncogene Proteins c-bcl-2PyridinesAnimalsApoptosisCell ProliferationHumansMiceTumor Cells, CulturedXenograft Model Antitumor AssaysPhenylurea CompoundsProto-Oncogene Proteins c-bcl-2PyridinesregorafenibBcl-2Bcl-xLexperimental gliomafunctional genomicssynergy

Identifiers

PMID39756423
PMCPMC12083232

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.