Abstract A109: Novel germline genetic variants in pseudogenes associated with overall survival in advanced stage ovarian cancer treated with carboplatin, paclitaxel, and bevacizumab: Results from the ROSiA trial
Notice bibliographique
Résumé
Abstract Background: Current guidelines recommend the use of bevacizumab, a vascular endothelial growth factor (VEGF) inhibitor, for the treatment of epithelial ovarian cancer (EOC). However, predictive biomarkers for anti-angiogenic agents in gynecologic malignancies are currently limited. Emerging evidence suggests that inherited genetic information may play a role in influencing treatment outcomes under VEGF inhibition. Aim: We evaluated the role of inherited single nucleotide polymorphisms (SNPs) on overall survival (OS) in ROSiA, a single-arm, multinational, phase 3b clinical trial that explored the efficacy of bevacizumab combined with carboplatin and paclitaxel chemotherapy followed by maintenance bevacizumab in the frontline treatment of FIGO stage IIB-IV EOC. Methods: In this genome-wide association study (GWAS), germline DNA extracted from 405 ROSiA trial patients was genotyped using the Infinium OncoArray-500K BeadChip. Cox proportional-hazard models assessed the association of each SNP on OS, generating adjusted hazard ratios (aHR), 95% confidence intervals (CI), and p-values. All models assumed an additive inheritance model and were adjusted for relevant clinical variables, such as age, body surface area, FIGO stage, history of diabetes, and surgical debulking (primary or interval). Kaplan-Meier (KM) curves were generated to compare survival rates by genotypes of the significant SNPs identified from GWAS analysis. Results: After quality control, 399 patients with EOC were analyzed. The median age was 56 years [IQR 15.7]; 46% had FIGO stage IIIC disease, and 80% had undergone debulking surgery. Our analyses revealed two genetic markers in linkage disequilibrium that reached global GWAS significance (p<5E-08). The top signal was for a minor allele at rs7801321 which was associated with an aHR of 4.33 [95%CI: 2.77-7.19], p<5E-08) compared to the major allele. In KM analysis, the presence of a minor allele had a lower 2-year OS rate of 62.3% [95%CI: 48.5-80.1%] compared to the wildtype genotype, which had a 2-year OS of 87.8% [95%CI: 84.2-91.5%]. Progression-free survival (PFS) curves at 2 years revealed a similar pattern, with the presence of a minor allele showing a PFS rate of 40.0% [95%CI: 27.0-60.0%] compared to the wildtype genotype of 56.2% [95%CI: 50.9-62.1%]. These two SNPs correspond to the eukaryotic translation elongation factor 1 gamma gene. This gene is a member of the pseudogene family of eukaryotic translation elongation factors, which have been implicated in the pathogenesis and progression of various malignancies, including ovarian cancer. Conclusion: Our GWAS analysis identified novel genetic markers associated with reduced OS in advanced EOC patients treated with bevacizumab. We are currently evaluating options to replicate these findings in other clinical trial datasets that have investigated the benefit of bevacizumab in ovarian cancer. Citation Format: Salahaldin Alamleh, Robert Grant, Wei Xu, Osvaldo Espin-Garcia, Helen MacKay, Geoffrey Liu. Novel germline genetic variants in pseudogenes associated with overall survival in advanced stage ovarian cancer treated with carboplatin, paclitaxel, and bevacizumab: Results from the ROSiA trial [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr A109.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».