Abstract 1020P
Background
Preferentially Expressed Antigen in Melanoma (PRAME) is a tumor-specific therapeutic target. This antigen is expressed across a wide range of tumor types such as lung, ovarian, melanoma and endometrial cancers, while exhibiting minimal expression in only few healthy tissues. Targeting PRAME peptides presented on tumor cells by the human leukocyte antigens (HLA) has been clinically validated using TCEs and T cell receptor therapies currently in clinical trials. Here we describe CDR813 an antibody fragment-based T cell engager which bivalently binds to an HLA-A2-restricted PRAME peptide on tumors.
Methods
CDR813 was preclinically characterized for selective killing of PRAME/HLA-A*02 positive human cancer cells versus a panel of different PRAME-negative/HLA-A*02-positive human cell lines in co-cultures with PBMCs. Recognition of alternative but similar peptides complexed HLA-A*02 was measured using surface plasmon resonance. Early safety assessment was performed on a panel of primary normal human cell types covering different organs and cell types.
Results
The bispecific molecule consists of two identical high affinity (KD 80 pM) scFv fragments targeting the PRAME425–433 peptide presented on HLA-A*02:01, and a Fab fragment that binds to the CD3 receptor of T cells. CDR813 demonstrated potent anti-tumor activity against PRAME+/HLA-A*02:01+ cancer cell lines, minimal binding to similar peptides presented in healthy human tissues, and negligible activity on HLA-A*02:01+ normal human primary cells from essential organs. The biophysical properties of the molecule were optimized for an ideal developability profile. Stability and solubility measurements predict good shelf-life and in vivo stability, and it can be manufactured in a standard CHO-based platform process.
Conclusions
Considering the in vitro potency, specificity profile, and drug-like biophysical properties, this clinical candidate holds the potential to exhibit best-in-class characteristics in a clinical setting.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
CDR-Life AG.
Funding
CDR-Life AG.
Disclosure
A. Dasargyri, S. Jungmichel, N. Alijaj, F. Scheifele, P. Knobel, P. Richle, H. Merten, R. Doerig, A. Evangelopoulou, M. Priola, B. Pavlovic, L. Bickel, T. Schleier, G. Acuña, S. Biswas: Financial Interests, Personal, Full or part-time Employment: CDR-Life. A. Vilarrasa: Financial Interests, Personal and Institutional, Full or part-time Employment: CDR-Life. T. Fugmann: Financial Interests, Personal, Leadership Role: Alithea. C. Leisner: Financial Interests, Personal, Member of Board of Directors: CDR-Life. L. Borras: Financial Interests, Personal, Leadership Role: CDR-Life. All other authors have declared no conflicts of interest.
Resources from the same session
927P - Preliminary results of the BROADEN study: Burden of human papillomavirus-related head and neck cancers
Presenter: Laia Alemany
Session: Poster session 03
928P - Radiomic analysis based on machine learning of multi-MR sequences to assess early treatment response in locally advanced nasopharyngeal carcinoma
Presenter: Lei Qiu
Session: Poster session 03
929P - Advanced laryngeal squamous cell carcinoma prognosis and machine learning insights
Presenter: Tala Alshwayyat
Session: Poster session 03
Resources:
Abstract
930P - Real-world data analysis of oncological outcomes in patients with pathological extranodal extension (ENE) in OSCC: A proposal to refine the pathological nodal staging system
Presenter: Abhinav Thaduri
Session: Poster session 03
931P - Deep learning models for predicting short-term efficacy in locally advanced nasopharyngeal carcinoma
Presenter: Kexin Shi
Session: Poster session 03
932P - Accuracy and prognostic implications of extranodal extension on radiologic imaging in HPV-positive oropharyngeal cancer (HNCIG-ENE): A multinational, real-world study
Presenter: Hisham Mehanna
Session: Poster session 03
933P - Prediction of survival in patients with head and neck merkel cell carcinoma: Statistical and machine-learning approaches
Presenter: Jehad Yasin
Session: Poster session 03
934P - Harnessing artificial intelligence on real-world data to predict recurrence in head and neck squamous cell carcinoma patients: The HNC-TACTIC study
Presenter: Hisham Mehanna
Session: Poster session 03
936P - Chronic pain in cancer survivors: Head and neck versus other cancers
Presenter: Rong Jiang
Session: Poster session 03