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Record W4416140109 · doi:10.1093/neuonc/noaf201.1426

EXTH-93. Combination of ALK2 and cholesterol targeting agents exploits linked genetic and metabolic dependencies in diffuse midline glioma

2025· article· en· W4416140109 on OpenAlexaff
Rebecca G. Rogers, Yura Grabovska, Alan Mackay, Diana Carvalho, Claire Dobinson, Rita Pereira, Anna Burford, Laura Bevington, Valeria Molinari, Jiin Song, Haider Tari, Ruth Ruddle, Drenusha Sejdiu, Nicole J. Chew, Vanessa Tsui, Claire Sun, Aaminah Khan, Giulia Pericoli, Maria Vinci, Jérôme Fortin, Peter B. Sampson, Maria Tsoli, David Zeigler, Ron Firestein, Chris Jones

Bibliographic record

VenueNeuro-Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsCholesterolMetabolomicsIn vivoEnzymeGenome editingProteomicsCRISPRMetabolic pathway

Abstract

fetched live from OpenAlex

Abstract The discovery that ACVR1-mutations arise in ~25% of DMG H3K27-altered patients has led assessment of both the dependency of ACVR1-mutant cells on ALK2 and the effectiveness of ALK2 inhibitors (ALK2i), however as single-agents these are yet to translate into the clinic. Here, we perform high-throughput screens to identify therapeutic ALK2i combination partners and characterise pre-clinical ALK2 inhibitors of different chemotypes using a multi-omic approach. Combinatorial CRISPR screens identified multiple ALK2i sensitising hit genes which encode for key enzymes in the cholesterol synthesis pathway (EBP/DHCR24/LSS). Drug-combination screens identified clinically well-tolerated statins, including simvastatin/lovastatin which target the rate-limiting cholesterol synthesis enzyme HMG-CoA reductase, and estrogen receptor inhibitors, including Tamoxifen, which exhibits off-target effects on EBP, as sensitisers to ALK2i. Global transcriptomics, proteomics and metabolomics revealed a novel link between ALK2 signalling and cholesterol homeostasis, with ALK2i treatment significantly decreasing the expression cholesterol biosynthesis genes/proteins (SREBF2/HMGCR/EBP) while increasing those associated with cholesterol transport (ABCA1/MYLIP). Metabolomic analysis confirmed these changes were associated with a significant decrease in cholesterol and an increase in the precursor desmosterol. Validation of screening hits revealed strong synergy between ALK2i and cholesterol biosynthesis inhibitors targeting different nodes of the pathway. This was also observed in vivo, the combination treatment significantly increased the median survival compared to vehicle but not to single-agents. Forced differentiation of DMG cells to an astrocyte-like cell state increased cholesterol production and led to a significant decrease in M4K2009 sensitivity and synergy with statins, which was phenocopied when DMG cells were co-cultured with normal astrocytes. This was overcome in vitro, ex vivo and in vivo using a triple combination including a LXR agonist (LXR623) to promote cholesterol export. We identify a previously unappreciated link between ALK2 signalling and cholesterol homeostasis which may be exploited clinically by combining ALK2i with routinely-used statins and BBB-penetrant LXR agonists.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.299
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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