PF-06664178 / Pfizer - LARVOL DELTA

Rapid and Efficient Antibody-Drug Conjugate Design Using Mechanistic Bottom-Up Modeling from In Vitro to Human. (PubMed, Bioconjug Chem) - "The models handle various antigens, payloads, and ADCs, validated using six ADCs (Enhertu, Kadcyla, Trodelvy, RC48, RN927C, and Datroway). Application to the clinically failed RN927C demonstrated how our modeling approach could have flagged issues and enabled suggestions for design modifications to widen the therapeutic window and prevent the clinical failure. In conclusion, our presented modeling strategy delivers accurate efficacy and toxicity translation from in vitro to humans utilizing easily accessible parameters as the foundation and deepens understanding of ADCs and their individual components, thereby supporting ADC design and candidate and patient selection and accelerating ADC development."

Journal • Preclinical • Hematological Disorders • Neutropenia • Oncology • Thrombocytopenia

Therapeutic Applications and Target Strategies of Antibody-Drug Conjugates in Ovarian Cancer. (PubMed, Iran J Pharm Res) - "This review summarizes a range of ADCs targeting tumor-associated antigens in ovarian cancer, including mirvetuximab soravtansine (MIRV), trastuzumab deruxtecan (T-DXd), datopotamab deruxtecan (Dato-DXd), sacituzumab tirumotecan (SKB-264), PF-06664178, anetumab ravtansine (BAY 94-9343), BMS-986148, DMOT4039A, RC88, lifastuzumab vedotin (DNIB0600A), upifitamab rilsodotin (ABBV-181), ZW220, DMUC4064A, and sofituzumab vedotin (DMUC5754A). The ADCs hold significant potential to reshape the treatment landscape for ovarian cancer by providing targeted therapeutic options. Further research is required to optimize patient selection, address resistance mechanisms, and improve safety profiles."

Journal • Review • Oncology • Ovarian Cancer • Solid Tumor • MUC4

Joint Disposition Properties and Comprehensive Pharmacokinetic Characterization of Antibody-Drug Conjugates. (PubMed, AAPS J) - "For instance, the linker stability estimates for PF-06650808, PF-06647020, and PF-06664178 were 0.31, 0.14, and 0.096, respectively, from the JDM-based analyses vs. 0.23, 0.11, and 0.086 by the model-based approach. Additionally, the JDMs were estimated for a number of FDA-approved or otherwise well-documented ADCs, showing their utilities in comparing ADCs in terms of favorable PK characteristics."

Journal • PK/PD data

Antibody-drug conjugate (ADC) joint disposition properties and their clinical utilities for comparative assessments in terms of favorable pharmacokinetic (PK) characteristics. (ASCO 2022) - " The joint disposition metrics representing linker stability (AUCmAb/AUCTab), therapeutic exposure ratio (CLPL/CLADC) and effective drug-antibody ratio (DAR) (AUCCPL/AUCADC), were derived mathematically from a framework of typical ADC designs and verified via modeling approaches using PK data of 3 clinical candidates, an anti-Trop2 ADC (PF-06664178) [King GT, et al. Invest New Drugs 2018;36(5):836-847], an anti-Notch3 ADC (PF-06650808) [Rosen LS, et al. Invest New Drugs 2020;38(1):120-130], and an anti-PTK7 ADC (PF-06647020) [Maitland ML, et al... Three joint disposition metrics were derived for integrated PK characterization of ADCs using conventional PK analytes. Their clinical utilities were explored in assessing among ADCs in terms of favorable PK characteristics. Analyses of additional ADCs may be needed to further validate these metrics for broader usage."

Clinical • PK/PD data • Oncology • NOTCH3

A phase 1, dose-escalation study of PF-06664178, an anti-Trop-2/Aur0101 antibody-drug conjugate in patients with advanced or metastatic solid tumors. (PubMed, Invest New Drugs) - "Neutropenia, skin rash and mucosal inflammation were dose limiting toxicities. Findings from this study may potentially aid in future antibody drug conjugate design and trials."

Clinical • Journal • P1 data