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Abstract IA003: Chemoproteomic discovery of a covalent allosteric inhibitor of WRN helicase

2024· article· en· W4399505311 on OpenAlexaboutno aff
Matthew P. Patricelli, Kristen A. Baltgalvis, Kelsey N. Lamb, Kent T. Symons, Chu-Chiao Wu, Melissa Hoffman, Aaron N. Snead, Xiaodan Song, Thomas Glaza, Shota Kikuchi, Jason C. Green, Donald C. Rogness, Betty Lam, Maria E. Rodriguez-Aguirre, David R. Woody, Christie L. Eissler, Socorro Rodilles, Seth M. Negron, Steffen M. Bernard, Eileen Tran, Jonathan Pollock, Ali Tabatabaei, Víctor Contreras, Heather N. Williams, Martha K. Pastuszka, J. Sigler, Piergiorgio Pettazzoni, M.G. Rudolph, Moritz Classen, Doris Brugger, Christopher F. Claiborne, Jean‐Marc Plancher, Isabel Cuartas, Joan Seoane, Laurence E. Burgess, Robert T. Abraham, David S. Weinstein, Gabriel M. Simon, Todd M. Kinsella

Bibliographic record

VenueMolecular Cancer Therapeutics · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsnot available
Fundersnot available
KeywordsHelicaseAllosteric regulationBiologyDNA repairDNAMolecular biologyCell biologyEnzymeCancer researchGeneticsBiochemistryRNAGene

Abstract

fetched live from OpenAlex

Abstract The WRN helicase serves as a key target in the treatment of cancers characterized by microsatellite instability (MSI) because it plays a crucial role in resolving harmful non-canonical DNA structures that arise in cells with defective mismatch repair systems. Despite the critical functions of human DNA and RNA helicases, no drugs targeting these enzymes have been approved, largely due to the difficulties in identifying potent and selective inhibitors. In this study, we present the chemoproteomics-based identification of a clinical-stage, covalent allosteric inhibitor of WRN, VVD-133214. This inhibitor specifically interacts with a cysteine residue (C727) within the helicase domain, which undergoes inter-domain movement during the DNA unwinding process. VVD-133214 reacts with the WRN protein in a nucleotide cooperative manner, promoting stable, compact structures that impede the enzyme's dynamic flexibility essential for its helicase activity. Inhibition of WRN by VVD-133214 leads to extensive double-stranded DNA breaks, nuclear enlargement, and ultimately cell death, specifically in MSI-high cells but not in microsatellite stable cells. The inhibitor demonstrated good tolerance in mice and significant tumor reduction in various MSI-high colorectal cancer cell lines and patient-derived xenograft models. Our findings highlight an allosteric strategy to inhibit WRN function that avoids interference from the endogenous ATP cofactor in cancer cells and positions VVD-133214 as a promising therapeutic candidate for patients with MSI-high cancers. Citation Format: Matthew P. Patricelli, Kristen A. Baltgalvis, Kelsey N. Lamb, Kent T. Symons, Chu-Chiao Wu, Melissa A. Hoffman, Aaron N. Snead, Xiaodan Song, Thomas Glaza, Shota Kikuchi, Jason C. Green, Donald C. Rogness, Betty Lam, Maria E. Rodriguez-Aguirre, David R. Woody, Christie L. Eissler, Socorro Rodilles, Seth M .Negron, Steffen M. Bernard, Eileen Tran, Jonathan Pollock, Ali Tabatabaei, Victor Contreras, Heather N Williams, Martha K. Pastuszka, John J. Sigler, Piergiorgio Pettazzoni, Markus G. Rudolph, Moritz Classen, Doris Brugger, Christopher Claiborne, Jean-Marc Plancher, Isabel Cuartas, Joan Seoane, Laurence E. Burgess, Robert T. Abraham, David S. Weinstein, Gabriel M. Simon, Todd M. Kinsella. Chemoproteomic discovery of a covalent allosteric inhibitor of WRN helicase [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr IA003.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
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 integrity0.0000.000
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 head0.020
GPT teacher head0.293
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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