Abstract 3919: Targeting urease to human VEGFR2 elicits antitumor activity in triple-negative breast cancer models
Notice bibliographique
Résumé
Abstract Introduction: Vascular endothelial growth factor receptor type 2 (VEGFR2) expression is one of the most prominent biomarkers of the tumor-associated neovasculature. Moreover, VEGFR2 can be aberrantly expressed on the surface of tumor cells. We have previously described the development of V21-DOS47, an immunoconjugate composed of the VHH-portion of a camelid single domain anti-VEGFR2 antibody (V21H4) and jack bean urease, which converts endogenous urea into ammonia and hydroxyl ions. V21-DOS47 is the second in a class of antibody-urease drugs. The first, L-DOS47, is currently in clinical testing for non-small cell lung cancer. In this study, we identified tumor cells with VEGFR2 expression, tested V21-DOS47 binding to tumor cells, and investigated in vivo activity in both immunocompetent and immunodeficient mice. Methods: Flow cytometry experiments were performed with biotinylated V21H4 antibody and anti-biotin fluorochrome-conjugated secondary antibody. Detection of urease by flow cytometry was performed with an anti-urease antibody followed by incubation with a fluorochrome-conjugated secondary antibody. Western blotting was used for the assessment of protein expression. For in vivo experiments, VEGFR2-overexpressing derivatives of human MDA-MB-231 and murine 4T1 breast cancer cell lines were generated. Balb/c or nude mice were inoculated with tumor cells: 2.5 x 105 4T1 or 1x106 MDA-MB-231, respectively, on Day 0 of each experiment. Intravenous injections of V21-DOS47 at a dose of 10 µg/kg were started on Day 3 and continued on Days: 5, 7, 9 and 11. Results: After screening human tumor cell lines for VEGFR2 expression by RT-PCR and Western blotting, we determined that two triple-negative breast cancer cell lines (MDA-MB-231 and MDA-MB-468) expressed the highest levels of VEGFR2. Binding of V21H4 to the cell surface of both cell lines was confirmed by flow cytometry. In vivo studies were conducted using both immunodeficient (with human MDA-MB-231-hVEGFR2 cells) and immunocompetent (with murine 4T1-hVEGFR2 cells) mice. In the syngeneic/immunocompetent model of Balb/c mice implanted with 4T1-hVEGFR2 cells, but not wild-type 4T1 cells, the antitumor effect of V21-DOS47 was significant and long-lasting. However, the results obtained from the initial experiment in the MDA-MB-231-hVEGFR2 model suggest that the antitumor effect of V21-DOS47 is transient in immunodeficient mice. Conclusions: Our data show successful targeting of the DOS47 platform to human VEGFR2 expressed on tumor cells. Our in vivo data indicate that the antitumor activity of V21-DOS47 is enhanced in immunocompetent mice, which suggests that the immune system is a significant component of the antitumor activity of the V21-DOS47 immunoconjugate. Citation Format: Angelika Muchowicz, Anna Bujak, Beata Pyrzynska, Justyna Karolczak, Abdessamad Zerrouqi, Magdalena Ozga, Lukasz Szewczyk, Baomin Tian, Wah Wong, Marni Uger, Katarzyna Poplawska, Dorota Gierej, Pawel Wisniewski, Heman Chao, Magdalena Winiarska, Radoslaw Zagozdzon. Targeting urease to human VEGFR2 elicits antitumor activity in triple-negative breast cancer models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3919.
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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) | 0,003 | 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 ».