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Record W4415762739 · doi:10.1016/j.celrep.2025.116495

CDK12 inhibition reveals melanoma dependence on the RUNX1/CBFβ complex for genomic stability

2025· article· en· W4415762739 on OpenAlexafffund
Jonathan Boucher, Thibault Houlès, Elsa Berliocchi, Geneviève Lavoie, Graham MacLeod, Marc K. Saba-El-Leil, Stéphane Angers, Sylvain Meloche, Philippe P. Roux

Bibliographic record

VenueCell Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsUniversity of TorontoUniversité de MontréalInstitute for Research in Immunology and Cancer
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchCancer Research Society
KeywordsMelanomaEffectorTranscription factorKinaseDNA damageProto-Oncogene Proteins c-mycMAPK/ERK pathwayTranscription (linguistics)

Abstract

fetched live from OpenAlex

Cutaneous melanoma is the deadliest form of skin cancer, frequently driven by hyperactivation of the RAS/mitogen-activated protein kinase (MAPK) pathway. Cyclin-dependent kinase 12 (CDK12), a downstream effector of MAPK signaling, has emerged as a therapeutic target due to its essential role in transcriptional regulation and DNA damage repair. To identify vulnerabilities associated with CDK12 inhibition, we performed a genome-wide CRISPR-Cas9 screen and identified the Runt-related transcription factor RUNX1 and its cofactor CBFβ as synthetic lethal partners of CDK12. RUNX1 inhibition enhanced melanoma sensitivity to CDK12 inhibitors in a p53-independent manner, resulting in DNA damage accumulation and impaired repair capacity. Combined inhibition of CDK12 and RUNX1 suppressed melanoma growth in vivo. These findings identify RUNX1/CBFβ as a compensatory mechanism in CDK12-inhibited melanoma and define a synthetic lethal interaction with translational potential for combinatorial therapy.

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 score0.002
Threshold uncertainty score0.006

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.249
Teacher spread0.223 · 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 routes2
Has abstractyes

Explore more

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