Systematic design of combination therapy by targeting master regulators of coexisting diffuse midline glioma cell states

Intratumor heterogeneity fundamentally challenges cancer treatment, as coexisting, molecularly distinct cell states with non-overlapping drug sensitivities can drive therapeutic resistance. We establish and validate a generalizable, network-based framework to systematically identify combination therapies targeting complementary tumor cell states. Applied to diffuse midline glioma (DMG)-a universally fatal pediatric malignancy-this approach identified master regulator protein dependencies in seven coexisting cell states, confirmed by pooled CRISPR-Cas9 assays. Perturbational transcriptional profiles for 372 clinically relevant drugs prioritized candidates predicted to invert state-specific master regulator activity. State-selective drug sensitivity was validated for eight out of nine (89%) drugs in vivo, including avapritinib, ruxolitinib and larotrectinib. Compared with monotherapy, co-administering drugs targeting complementary states significantly prolonged survival across virtually all combinations, with avapritinib plus ruxolitinib extending median survival nearly threefold versus vehicle and 1.5-fold versus avapritinib alone. These findings establish clinically actionable DMG combinations and a tumor-agnostic and mutation-agnostic framework for rational combination therapy design.

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Publication Details

Journal
Nature Genetics
Published
2026-04-22
DOI
https://doi.org/10.1038/s41588-026-02550-w
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Systematic design of combination therapy by targeting master regulators of coexisting diffuse midline glioma cell states

Junqiang Wang, Ester Calvo Fernández, Lukas J. Vlahos, Aaron Timothy Griffin et al.
Nature Genetics
Glioma Diagnosis and Treatment
article

Systematic design of combination therapy by targeting master regulators of coexisting diffuse midline glioma cell states

Junqiang Wang, Ester Calvo Fernández, Lukas J. Vlahos, Aaron Timothy Griffin, Timothy J. Martins, Cheng–Chia Wu, Luca Szalontay, Stergios Zacharoulis, Pasquale Laise, Jovana Pavisic, Christian Simmons, Pamela S. Becker, Hanna E. Minns, Theophilos Tzaridis, Matthew Gallitto, Hong-Jian Wei, A Califano, Lorenzo Tomassoni, James H. Garvin, Xu Zhang, Aleksandar Obradovic, Diana V. Morales, Robyn D. Gartrell, Robert J. Wechsler-Reya, Zhiguo Zhang, John R. Crawford
article en

Abstract

Intratumor heterogeneity fundamentally challenges cancer treatment, as coexisting, molecularly distinct cell states with non-overlapping drug sensitivities can drive therapeutic resistance. We establish and validate a generalizable, network-based framework to systematically identify combination therapies targeting complementary tumor cell states. Applied to diffuse midline glioma (DMG)-a universally fatal pediatric malignancy-this approach identified master regulator protein dependencies in seven coexisting cell states, confirmed by pooled CRISPR-Cas9 assays. Perturbational transcriptional profiles for 372 clinically relevant drugs prioritized candidates predicted to invert state-specific master regulator activity. State-selective drug sensitivity was validated for eight out of nine (89%) drugs in vivo, including avapritinib, ruxolitinib and larotrectinib. Compared with monotherapy, co-administering drugs targeting complementary states significantly prolonged survival across virtually all combinations, with avapritinib plus ruxolitinib extending median survival nearly threefold versus vehicle and 1.5-fold versus avapritinib alone. These findings establish clinically actionable DMG combinations and a tumor-agnostic and mutation-agnostic framework for rational combination therapy design.

Nature Genetics
Children's Hospital of Orange County (US), Memorial Sloan Kettering Cancer Center (US), Children's National (US), Johns Hopkins University (US), Oregon Health & Science University (US), Sanford Burnham Prebys Medical Discovery Institute (US), University of Washington (US), University of California, Irvine (US), Discovery Institute (US), Columbia University Irving Medical Center (US), Johns Hopkins Medicine (US), Doheny Eye Institute (US), City of Hope (US), Biomedical Research Institute (US), Cancer Genetics (United States) (US), DarwinHealth (United States) (US), High Throughput Biology (United States) (US), Columbia University (US), Virginia Tech (US)
Good health and well-being
Openalex Percentile: Top 14%
Glioma Diagnosis and Treatment
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