Evidence map›Paper›PMID 37114125›Full record

ArticleFrontiers in oncology2023

Clinically relevant glioblastoma patient-derived xenograft models to guide drug development and identify molecular signatures.

Joshua Alcaniz, Lars Winkler, Mathias Dahlmann, Michael Becker, Andrea Orthmann, Johannes Haybaeck, Stefanie Krassnig, Christina Skofler, Tobias Kratzsch, Susanne A Kuhn and 5 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Chromosomal Instability Drives Glioblastoma Heterogeneity and Therapeutic Opportunities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

15 authors.

Joshua AlcanizExperimental Pharmacology and Oncology GmbH, Berlin, Germany.
Lars WinklerExperimental Pharmacology and Oncology GmbH, Berlin, Germany.
Mathias DahlmannExperimental Pharmacology and Oncology GmbH, Berlin, Germany.
Michael BeckerExperimental Pharmacology and Oncology GmbH, Berlin, Germany.
Andrea OrthmannExperimental Pharmacology and Oncology GmbH, Berlin, Germany.
Johannes HaybaeckDepartment of Neuropathology, Diagnostic & Research Center for Molecular BioMedicine, Institute of Pathology, Medical University of Graz, Graz, Austria.
Stefanie KrassnigDepartment of Neuropathology, Diagnostic & Research Center for Molecular BioMedicine, Institute of Pathology, Medical University of Graz, Graz, Austria.
Christina SkoflerCenter for Biomarker Research in Medicine, Graz, Austria.
Tobias KratzschDepartment of Neurosurgery, Charité Universitätsmedizin, Berlin, Germany.
Susanne A KuhnDepartment of Neurosurgery, Ernst von Bergmann Hospital, Potsdam, Germany.
Andreas JödickeDepartment of Neurosurgery, Vivantes Hospital Berlin Neukölln, Berlin, Germany.
Michael LinnebacherDepartment of Surgery, Molecular Oncology and Immunotherapy, University Medical Center Rostock, Rostock, Germany.
Iduna FichtnerExperimental Pharmacology and Oncology GmbH, Berlin, Germany.
Wolfgang WaltherExperimental Pharmacology and Oncology GmbH, Berlin, Germany.
Jens HoffmannExperimental Pharmacology and Oncology GmbH, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) heterogeneity, aggressiveness and infiltrative growth drastically limit success of current standard of care drugs and efficacy of various new therapeutic approaches. There is a need for new therapies and models reflecting the complex biology of these tumors to analyze the molecular mechanisms of tumor formation and resistance, as well as to identify new therapeutic targets. We established and screened a panel of 26 patient-derived subcutaneous (s.c.) xenograft (PDX) GBM models on immunodeficient mice, of which 15 were also established as orthotopic models. Sensitivity toward a drug panel, selected for their different modes of action, was determined. Best treatment responses were observed for standard of care temozolomide, irinotecan and bevacizumab. Matching orthotopic models frequently show reduced sensitivity, as the blood-brain barrier limits crossing of the drugs to the GBM. Molecular characterization of 23 PDX identified all of them as IDH-wt (R132) with frequent mutations in EGFR, TP53, FAT1, and within the PI3K/Akt/mTOR pathway. Their expression profiles resemble proposed molecular GBM subtypes mesenchymal, proneural and classical, with pronounced clustering for gene sets related to angiogenesis and MAPK signaling. Subsequent gene set enrichment analysis identified hallmark gene sets of hypoxia and mTORC1 signaling as enriched in temozolomide resistant PDX. In models sensitive for mTOR inhibitor everolimus, hypoxia-related gene sets reactive oxygen species pathway and angiogenesis were enriched. Our results highlight how our platform of s.c. GBM PDX can reflect the complex, heterogeneous biology of GBM. Combined with transcriptome analyses, it is a valuable tool in identification of molecular signatures correlating with monitored responses. Available matching orthotopic PDX models can be used to assess the impact of the tumor microenvironment and blood-brain barrier on efficacy. Our GBM PDX panel therefore represents a valuable platform for screening regarding molecular markers and pharmacologically active drugs, as well as optimizing delivery of active drugs to the tumor.

Indexed as

blood-brain barrierdrug efficacyglioblastomagliomamTORC1patient-derived xenograft (PDX)preclinical oncologytargeted therapy

Identifiers

PMID37114125
PMCPMC10126369

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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.