Bivalent binding properties of epidermal growth factor receptor targeted monoclonal antibodies: Factors contributing to differences in observed clinical profiles.
Notice bibliographique
Résumé
A36 Emerging evidence suggests that the ability of antibodies to bind bivalently (or with both antibody arms) is essential for maintaining prolonged residence in tumors and an important feature for inhibiting tumor cell proliferation (1-4). Formation of bivalent bonds is dependent on target density and antibody association and dissociation rates. Nimotuzumab is an EGFR-targeted monoclonal antibody that has demonstrated anti-tumor activity in preclinical and clinical trials in absence of side-effects commonly seen with other anti-EGFR antibodies, cetuximab and panitumumab. We investigated whether the differences in monovalent/bivalent binding profiles is one of the characteristics that distinguishes between the therapeutics. Cetuximab and nimotuzumab binding to EGFR-expressing cell lines including A431 (106 EGFR/cell), H125 (105 EGFR/cell) and MDA-MB231 (103 EGFR/cell) was analyzed by FACS. Cells were incubated with increasing concentrations of nimotuzumab, cetuximab, and monovalent fragments (Fab) of these antibodies. The binding patterns of nimotuzumab and cetuximab to cell lines with medium to high receptor expression (H125, A431) were remarkably similar at all dose levels. Cetuximab binding to the cell line with the low level of EGFR expression (MDA-MB23) was preserved and increased with escalating concentrations. In contrast, nimotuzumab binding was not detectable on MDA-MB23 regardless of concentration. Cetuximab Fab bound to all cell lines and the level of binding increased proportionately with dose. In contrast, nimotuzumab Fab binding to H125, MDA-MB23 was not detected, regardless of the Fab dose. Only marginal nimotuzumab Fab binding to A431 was detected at the highest doses. In-vitro binding kinetics of cetuximab, nimotuzumab and panitumumab are being investigated by SPR (Biacore 3000). The CM5 chip surface was coated with varying densities of EGFR, Fc-EGFR dimer and the antibodies via amine coupling. Nimotuzumab binding kinetics exhibited fast association and dissociation rates under monovalent binding conditions. Under conditions allowing bivalent attachment (Fc-EGFR dimer), nimotuzumab dissociation rate was significantly reduced. The effects of changing surface conditions (monovalent vs bivalent) on the binding kinetics of cetuximab and panitumumab were less significant. Nimotuzumab bound to Fc-EGFR dimer at a faster rate than cetuximab. These findings are consistent with the FACS data and support the preference for bivalent binding by nimotuzumab. Taken together, these observations suggest that, in contrast to other anti-EGFR antibodies, the intrinsic properties of nimotuzumab favor bivalent binding as the primary mode for attachment, which would lead to nimotuzumab attaching discriminately to cells that express moderate to high EGFR levels. This targeting property of the antibody may in part be responsible for sparing of healthy tissues by nimotuzumab observed in clinical studies and may have other important clinical implications that deserve further evaluation. Additional experimental data exploring these differences will be presented. References 1. Bueren et al, PNAS 2008. 105:6109 - 14 2. Yoshida et al, Int J Cancer 2008. 122:1530-8 3. Perez-Torres et al, J Biol Chem 2006. 281:40183-92 4. Fan et al, J Biol Chem 1994. 269:27595-02
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 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) | 0,002 | 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 ».