Abstract 666: AB-3A4: A novel KAAG1-targeting antibody-drug conjugate is active in models of ovarian carcinoma, triple-negative breast cancer and castration-resistant prostate cancer
Notice bibliographique
Résumé
Abstract Starting from total RNA prepared from late-stage serous ovarian tumors and low-malignancy potential tumors, a sensitive subtractive cloning technology called STAR was used to identify differentially expressed sequences that were up-regulated in the malignant tumors. This analysis led to the identification of KAAG1, an antigen that is specifically expressed in the vast majority of the ovarian tumors. Monoclonal antibodies (mAbs) that bind to human KAAG1 were generated and one of these, AB-3A4, interacted with KAAG1 expressed on the surface of several ovarian cancer, triple-negative breast cancer (TNBC) and prostate cancer cell lines. Further studies indicated that the AB-3A4/KAAG1 complex was rapidly internalized and co-localized with LAMP1, a marker of lysosomes, indicating that AB-3A4 has potential as an antibody-drug conjugate (ADC). Here we describe preclinical results of AB-3A4 conjugated to the cytotoxic agent monomethyl auristatin E (AB-3A4-vcMMAE). Binding studies with KAAG1-positive cell lines, such as the SKOV-3 (ovarian), MDA-MB-231 (TNBC) and PC-3 (prostate) showed that AB-3A4-vcMMAE interacted with its antigen in a similar manner to the unconjugated AB-3A4. In cytotoxicity assays, AB-3A4-vcMMAE killed cancer cell lines expressing KAAG1 with an IC50 value of 1 - 2 nM, whereas it displayed no specific potency in KAAG1-low or -negative cells. SKOV-3 cells were subcutaneously implanted in SCID mice and allowed to grow to a volume of 150 - 200 mm3 after which four injections of AB-3A4-vcMMAE at 5 mg/kg were administered over two weeks. Rapid and sustained tumor regression was observed for several weeks post-injection. In PC-3 xenografts, a single injection of AB-3A4-vcMMAE at 3 mg/kg was sufficient to cause significant tumor regression and this efficacy was found to be dose-dependent between doses of 1 and 10 mg/kg. In parallel treatment groups, no significant tumor shrinkage was observed with either a control IgG-vcMMAE or a mixture of unconjugated AB-3A4 and free MMAE at a drug-antibody ratio corresponding to that of AB-3A4-vcMMAE. Furthermore, xenografts of TNBC MDA-MB-231 cells were significantly regressed following a single injection of AB-3A4-vcMMAE with no recurrence after several weeks post-treatment. Finally, using an intraperitoneal orthotopic model of ovarian cancer, treatment with AB-3A4-vcMMAE significantly increased the overall survival of mice compared to mice treated with the control ADC. Collectively, our results demonstrate the potent efficacy of AB-3A4-vcMMAE in several disease models and underscore the potential of this novel agent in ovarian cancer, TNBC and castration-resistant prostate cancer, three areas for which very few targeted therapies exist. Citation Format: Gilles B. Tremblay, Anna Moraitis, Dominique Bédard, Adriana Orimoto, Martine Pagé, Anne-Marie Mes-Masson, Mario Filion. AB-3A4: A novel KAAG1-targeting antibody-drug conjugate is active in models of ovarian carcinoma, triple-negative breast cancer and castration-resistant prostate cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 666. doi:10.1158/1538-7445.AM2014-666
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 | 0,000 | 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 | 0,000 |
| 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) | 0,002 | 0,001 |
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 ».