Targeting vulnerabilities in IDH mutant tumours: The model matters

Alwine B Kruisselbrink1, Tessa A H Wilpshaar1, Ieva Palubeckaitė2

  • 1Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.

Neoplasia (New York, N.Y.)
|July 27, 2026
PubMed
Abstract

Insights

Synthetic lethal interactions in IDH-mutant cancers are often model-dependent. Artificially created models may show vulnerabilities not present in actual tumors, hindering clinical translation.

Area of Science:

  • Oncology
  • Cancer Biology
  • Molecular Therapeutics

Background:

  • Synthetic lethal interactions are key targets for cancer therapy.
  • Previous studies identified synthetic lethality with IDH1 and IDH2 (IDH) mutations in non-endogenous IDH mutant (IDHMUT) models.
  • However, these interactions are absent in endogenous IDHMUT chondrosarcoma cell lines, suggesting model systems impact therapeutic vulnerability discovery.

Purpose of the Study:

  • To investigate the role of model systems in studying therapeutic vulnerabilities in IDHMUT tumors.
  • To determine if artificially created IDHMUT models accurately reflect endogenous IDHMUT tumor biology.

Main Methods:

  • Generated isogenic chondrosarcoma cell line pairs using vector-based and CRISPR-Cas9 approaches to introduce or revert IDH1 mutations.
  • Examined known therapeutic vulnerabilities and their underlying biological mechanisms in these cell lines.

Main Results:

  • Vector-based IDHMUT models exhibited synthetic lethal interactions, while CRISPR-edited models did not.
  • Treatment sensitivities varied among vector-based models and correlated with IDHMUT protein expression and D-2-hydroxyglutarate (D-2-HG) levels.
  • Therapeutic vulnerabilities could be induced in CRISPR-edited models by increasing D-2-HG levels.

Conclusions:

  • Synthetic lethal interactions in vector-based models are often artifacts of IDHMUT protein overexpression and supra-physiological D-2-HG levels.
  • Relying on artificially created IDHMUT models can identify non-existent therapeutic vulnerabilities, potentially explaining poor clinical translation of preclinical findings.

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