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Abstract B019: O-mannosylation represents a therapeutic opportunity in BRAF fusion protein oncogenesis

2025· article· en· W4414502449 on OpenAlexaff
Anna Borgenvik, Sean A. Misek, Daniel Christen, Gloria Kyrila, Alexander Zhang, Sarah Reel, Michelle Boisvert, Ke Xia Cai, Kevin N. Zhou, Elizabeth Gonzáles, Lorena Lazo de la Vega, Amy Goodale, Esteban Miglietta, Jacquelyn Jones, Seth Malinowski, Lobna A. Elsadek, Merve Özdemir, Zachary Eisenbies, Joo-Hee Lee, April A. Apfelbaum, Jenna Robinson, Antonio Maldera, Daniel P. Bondeson, Jason J. Kwon, Mounica Vallurupalli, Sangita Pal, Todd R. Golub, William C. Hahn, Eric S. Fischer, Jesse S. Boehm, Jörn Dengjel, Henrik F. Clausen, Nada Jabado, Till Milde, Beth A. Cimini, Keith L. Ligon, Michael J. Eck, David E. Root, David Jones, Timothy N. Phoenix, Rameen Beroukhim, Hiren J. Joshi, Tilman Brummer, Adnan Halim, Pratiti Bandopadhayay

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsCarcinogenesisFusion proteinFusion geneGene silencingMAPK/ERK pathwayCancerGene

Abstract

fetched live from OpenAlex

Abstract Fusions between protein-coding genes are common oncogenic drivers across cancers, typically pairing a proto-oncogene with a partner that does not independently drive cancer. In all therapeutically actionable fusions, the proto-oncogene is the drug target; the contributions to oncogenicity of the fusion partner have largely been ignored. KIAA1549::BRAF (K::B) is the most common fusion protein across brain tumors, and particularly in pediatric gliomas. We found that KIAA1549 is necessary for oncogenicity of K::B, in contrast to the notion that the BRAF kinase domain alone is enough for transformation. We therefore performed genome-wide CRISPR/Cas9 anti-transformation screens in isogenic neural stem cell models with K::B overexpression to identify genetic dependencies specific to this oncogenic driver. We found that the BRAF fusion partner KIAA1549 engenders a striking and specific dependency on the protein O-mannosyltransferase complex (POMT1/2). Specifically, we show that genetic silencing or pharmacologic inhibition of the POMT1/2 complex reverses K::B transformation, thereby representing a novel therapeutic target beyond the MAPK pathway. Furthermore, POMT1/2 is required to glycosylate and enable maturation of K::B, reflecting the native biology of KIAA1549 but representing a non-canonical process for BRAF. These findings represent a proof-of-concept for targeting the partners in oncogenic fusions as a potential cancer therapeutic strategy. Citation Format: Anna Borgenvik, Sean Misek, Daniel Christen, Gloria Kyrila, Alexander Zhang, Sarah Reel, Michelle Boisvert, Kelly Cai, Kevin Zhou, Elizabeth M Gonzales, Lorena Lazo de la Vega, Amy Goodale, Esteban Miglietta, Jacquelyn Jones, Seth Malinowski, Lobna Elsadek, Merve Ozdemir, Zachary Eisenbies, Joohee Lee, April Apfelbaum, Jenna Robinson, Antonio Maldera, Daniel Bondeson, Jason Kwon, Mounica Vallurupalli, Sangita Pal, Todd Golub, William Hahn, Eric Fischer, Jesse Boehm, Jörn Dengjel, Henrik Clausen, Nada Jabado, Till Milde, Beth A Cimini, Keith Ligon, Kathrine Janeway, Michael Eck, David Root, David Jones, Timothy N Phoenix, Rameen Beroukhim, Hiren Jitendra Joshi, Tilman Brummer, Adnan Halim, Pratiti Bandopadhayay. O-mannosylation represents a therapeutic opportunity in BRAF fusion protein oncogenesis [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Discovery and Innovation in Pediatric Cancer— From Biology to Breakthrough Therapies; 2025 Sep 25-28; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_2):Abstract nr B019.

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 score0.008

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 head0.088
GPT teacher head0.447
Teacher spread0.359 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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