P125: Assessing the clinical relevance of BRCA1 RING domain variants of uncertain significance (VUS) with comprehensive computational and functional analyses
Notice bibliographique
Résumé
Introduction: BRCA1 serves multiple chromatin integrity functions critical to tumor suppression; up to 70% of women who inherent a pathogenic variant develop breast cancer by age 70.Accordingly, genetic screens that identify these heterozygotes enable patient stratification for prophylactic interventions, surveillance to detect cancer at an early and more-treatable stage, lifestyle and fertility counseling, and, if cancer develops, targeted therapy such as synthetic lethal PARP inhibition; benefits extend to relatives who become eligible for reflex testing.Conversely, heterozygotes found with a benign variant that does not increase cancer risk have anxieties alleviated.Unfortunately, VUSvariants for which associated cancer risk is not confidently understoodare uncovered in 10-20% of screens.This finding does not afford reflex testing for at-risk relatives, and often confuses patients who are ultimately left to make clinical care decisions based on a limited risk insight.Over 80% of BRCA1 VUS are missense, with their nuanced effects and low variant frequency generally limiting strong evidence approaches for classification outlined by the American College of Medical Genetics and Genomics (ACMG).However, assays that measure variant effects on protein tumor suppressive function can also provide strong evidence for classification in a rapid, high-throughput manner.While the exact mechanism of BRCA1 tumor suppression remains unknown, an essential role of N-terminal RING is supported by significant clustering of pathogenic missense variants within the domain, and its activities in genome maintenance (eg, homologous recombination, replication fork maintenance, transcription R-loop resolution).Current evidence supports that all RING functions depend on binding BARD1 and one of nine somewhat redundant ubiquitin-conjugating enzymes (E2); thus, an in vitro mammal assay quantifying both binding activities was hypothesized to produce strong evidence for classifying RING VUS that improves upon the physiological relevance of previous work.Methods: Six VUS were prioritized for functional analysis using a machine learning algorithm tailored to predict pathogenicity of BRCA1 RING variants: Molecular Feature Selection Tool evaluated the accuracy of 53 diverse existing algorithms on well-established variants within the domain, with the top 9 selected for modelbuilding on MatLab Classification Learner.The linear support vector machine was selected as it provided a generalizable solution with perfect testing accuracy and had a continuous output range suited for detailed prioritization.VUS with the highest and lowest model-predicted probabilities of pathogenicity were selected for functional analysis, backed with supporting evidence for classification.To assay binding, HA-tagged variant RING domain constructs were cloned into pTRE2 vectors and transfected into HEK293T cells.Following 48 hours of growth, cells were harvested, and lysates subjected to immunoprecipitation by anti-HA magnetic beads to isolate variant RING and bound proteins.Binding of BARD1 and a model E2, UbcH5c, was then quantified with western blotting and fluorescent imaging.Results: Functional results generally agreed with computational predictions: 3/3 predicted pathogenic variants demonstrated a significant decrease in BARD1 binding activity compared to 2/3 benign controls; 2/3 predicted benign variants demonstrated similar or higher activity than wildtype across 3 biological replicates.E2 binding trends followed the same pattern but failed to reach significance.Interestingly, one variant [NM_007294.4:c.271T>C(p.Cys91Arg)] was predicted benign computationally, but BARD1 and E2 binding activities were modestly reduced compared to 3/3 benign controls.Future projects to resolve this conflicting evidence are proposed: assays on PARP inhibitor sensitivity, and the presence of megabase-long scars distinctively arising from erroneous back-up repair in BRCA1-deficient cells.Conclusion: Corroborating strong functional and supporting computational evidence from this project enables reclassification of 2 VUS to likely benign; only one additional supporting (or greater) line of evidence is required for reclassification of 3 VUS to likely pathogenic according to ACMG guidelines.These reclassifications will immediately benefit heterozygotes with these variants by directing them to appropriate preventative care.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».