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Abstract A10: The impact of cancer-associated RAD51C mutations in homologous recombination

2017· article· en· W2604298322 on OpenAlexaboutno aff
Meghan R. Sullivan, Rohit Prakash, Maria Jasin, Kara A. Bernstein

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsRAD51Homologous recombinationFANCABiologyGenome instabilityDNA repairCancer researchBRCA2 ProteinPALB2XRCC3GeneticsDNA damageFanconi anemiaMutationGeneGermline mutationDNA

Abstract

fetched live from OpenAlex

Abstract Homologous recombination (HR) is a major pathway for the repair of DNA double-strand breaks (DSBs). Loss of function of key HR repair proteins have been linked to diseases characterized by genomic instability including cancers and Fanconi anemia. Regulation of RAD51 filaments is critical during HR repair and is mediated by several factors including the RAD51 paralogs, a group of proteins that share sequence homology with RAD51. The RAD51 paralog family consists of five proteins in humans, RAD51B, RAD51C, RAD51D, XRCC2, and XRCC3. The RAD51 paralog, RAD51C, has recently become a key protein of interest as RAD51C mutations have been linked to familial breast and ovarian cancers. However, the specific functions of RAD51C have remained enigmatic as mouse and non-tumorigenic knockout models are inviable. Given these limitations, we have identified RAD51C point mutations from breast and ovarian cancer patients to study the phenotypes of these RAD51C mutants and how they impair homologous recombination. We have found that RAD51C mutations can disrupt interactions with RAD51 paralog binding partners, RAD51B and XRCC3, required for RAD51C stability. Through yeast-two/three-hybrid and co-immunoprecipitation experiments, we isolated RAD51C mutations that disrupt interactions within RAD51 paralog complexes. These complexes have important roles in the repair of classical DSBs induced by ionizing radiation or chemotherapeutic reagents as well as in replication fork protection such as after replication stress induced by hydroxyurea. Using RAD51C mutants to complement a conditional knockout model, we investigated how the roles of RAD51C were impacted by point mutations in response to these diverse substrates to ultimately understand how tumors with RAD51C mutations can be best targeted for treatment. Citation Format: Meghan R. Sullivan, Rohit Prakash, Maria Jasin, Kara A. Bernstein. The impact of cancer-associated RAD51C mutations in homologous recombination [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr A10.

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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.046
GPT teacher head0.429
Teacher spread0.383 · 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
Published2017
Admission routes1
Has abstractyes

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