Abstract 4861: Modeling IDH-mutant low-grade astrocytoma using human embryonic stem cells

Abstract Introduction: Few existing models accurately recapitulate and sustain the phenotype of IDH-mutant low-grade gliomas (LGGs). Maintaining a stable IDH-mutant glioma line remains a major challenge, as patient-derived cultures rapidly lose mutant IDH expression due to selective pressure favoring more aggressive, IDH wild-type cells. To address this limitation, we developed an inducible human embryonic stem cell (hESC)-derived model for longitudinal studies of IDH-mutant Low-Grade Astrocytoma (LGA) pathogenesis, progression, and therapeutic response. Methods: We engineered hESCs to carry a doxycycline-inducible IDH1-R132H mutation, with or without CRISPR/Cas9-mediated knockouts of TP53 and ATRX. These combinations generated three isogenic lines: IDH-mutant alone, IDH-mutant/TP53-null, and IDH-mutant/TP53-ATRX-null. This allows for the dissection of how common co-mutations influence glioma initiation and evolution. Cells underwent neural induction to the progenitor stage to model early gliomagenesis, with induction of mutant IDH expression being verified via Western blot. Tumorigenic potential and progression are currently being assessed both in vitro and in vivo. Results: Upon differentiation to the neural progenitor stage, IDH1-R132H induction produced hallmark features of LGG biology, including elevated γH2AX, a marker of DNA damage response associated with IDH-mutant gliomas. Induced cells exhibited slower proliferation and limited invasiveness compared to non-induced controls, mirroring the slower growth of patient-derived LGGs. In vivo, IDH-mutant xenografts demonstrated delayed tumor expansion relative to IDH-wild-type counterparts. Ongoing studies are comparing therapeutic responses between our hESC-derived model and patient-derived lines to evaluate its translational utility for preclinical drug testing and longitudinal progression studies. Conclusions: We established an inducible hESC-based model with the capability to recapitulate the behavior and characteristics of IDH-mutant LGA. This platform could overcome the instability of patient-derived lines, enabling controlled, long-term studies of glioma evolution and treatment response. Our model provides a powerful system to dissect how IDH and cooperating mutations drive gliomagenesis and to test targeted therapies across disease stages. Citation Format: Greta Henriette Ghita, Yanhong Yang, Viviane Tabar. Modeling IDH-mutant low-grade astrocytoma using human embryonic stem cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4861.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4861
Primary Topic
Glioma Diagnosis and Treatment
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article
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article

Abstract 4861: Modeling IDH-mutant low-grade astrocytoma using human embryonic stem cells

Viviane Tabar, Yanhong Yang, Greta Henriette Ghita
Cancer Research
Glioma Diagnosis and Treatment
article

Abstract 4861: Modeling IDH-mutant low-grade astrocytoma using human embryonic stem cells

Viviane Tabar, Yanhong Yang, Greta Henriette Ghita
article en

Abstract

Abstract Introduction: Few existing models accurately recapitulate and sustain the phenotype of IDH-mutant low-grade gliomas (LGGs). Maintaining a stable IDH-mutant glioma line remains a major challenge, as patient-derived cultures rapidly lose mutant IDH expression due to selective pressure favoring more aggressive, IDH wild-type cells. To address this limitation, we developed an inducible human embryonic stem cell (hESC)-derived model for longitudinal studies of IDH-mutant Low-Grade Astrocytoma (LGA) pathogenesis, progression, and therapeutic response. Methods: We engineered hESCs to carry a doxycycline-inducible IDH1-R132H mutation, with or without CRISPR/Cas9-mediated knockouts of TP53 and ATRX. These combinations generated three isogenic lines: IDH-mutant alone, IDH-mutant/TP53-null, and IDH-mutant/TP53-ATRX-null. This allows for the dissection of how common co-mutations influence glioma initiation and evolution. Cells underwent neural induction to the progenitor stage to model early gliomagenesis, with induction of mutant IDH expression being verified via Western blot. Tumorigenic potential and progression are currently being assessed both in vitro and in vivo. Results: Upon differentiation to the neural progenitor stage, IDH1-R132H induction produced hallmark features of LGG biology, including elevated γH2AX, a marker of DNA damage response associated with IDH-mutant gliomas. Induced cells exhibited slower proliferation and limited invasiveness compared to non-induced controls, mirroring the slower growth of patient-derived LGGs. In vivo, IDH-mutant xenografts demonstrated delayed tumor expansion relative to IDH-wild-type counterparts. Ongoing studies are comparing therapeutic responses between our hESC-derived model and patient-derived lines to evaluate its translational utility for preclinical drug testing and longitudinal progression studies. Conclusions: We established an inducible hESC-based model with the capability to recapitulate the behavior and characteristics of IDH-mutant LGA. This platform could overcome the instability of patient-derived lines, enabling controlled, long-term studies of glioma evolution and treatment response. Our model provides a powerful system to dissect how IDH and cooperating mutations drive gliomagenesis and to test targeted therapies across disease stages. Citation Format: Greta Henriette Ghita, Yanhong Yang, Viviane Tabar. Modeling IDH-mutant low-grade astrocytoma using human embryonic stem cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4861.

Cancer ResearchVol. 86(7_Supplement)
Memorial Sloan Kettering Cancer Center (US)
Openalex Percentile: Top 5%
Glioma Diagnosis and Treatment
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