Abstract 4646: Validation of a panel of fibroblast activation protein expressing cell line derived xenograft models as a platform for the development of targeted radioligand therapeutics
Abstract Targeted radioligand therapy (RLT) has emerged as a promising strategy for precision oncology, enabling selective tumor targeting while reducing collateral damage to healthy tissue. A major challenge in advancing novel RLT agents, however, is the limited availability of well-validated preclinical models for assessing target-specific efficacy. Fibroblast Activation Protein (FAP), a membrane-bound protein with minimal expression in normal tissues but high prevalence in cancer-associated fibroblasts and glioblastoma (GBM) cells, represents an attractive therapeutic target. FAP-2286, a FAP-binding peptide radiolabeled with lutetium-177 (177Lu), offers potential as both an imaging and therapeutic agent. In this study, we evaluate target expression and compare the anti-tumor efficacy of 177Lu-FAP-2286 across multiple immunocompromised mouse models bearing subcutaneous, cell line-derived tumors. Our findings underscore the critical role of model selection in preclinical development and highlight its importance for rational decision-making in RLT programs. Citation Format: Michael Batey, James Suchy, Taylor Hotz, Michael Milhollen, Kayla Duval, Jackson Chan, Karen Gelinas, Michael Bruce, Michelle Petrozzi, William Maccuaig, Neil Rollins, Jennifer Tavares, Erin Snay, Kyeara Mack-Henry, Soumya Ullas, . Validation of a panel of fibroblast activation protein expressing cell line derived xenograft models as a platform for the development of targeted radioligand therapeutics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4646.
Authors
- Erin Snay (ORCID: https://orcid.org/0000-0002-1103-9969)
- Jackson Ping Kei Chan
- Soumya Ullas
- Michael Bruce
- Michael A. Milhollen (ORCID: https://orcid.org/0000-0003-1736-1219)
- William M. MacCuaig (ORCID: https://orcid.org/0000-0002-6585-0247)
- Neil Rollins
- Karen Gelinas
- Taylor Hotz
- Michael A. Batey
- Jennifer Tavares
- James Suchy
- Michelle Petrozzi
- Kayla Duval
- Kyeara Mack-Henry
Institutions
- Perceptive Engineering (United Kingdom) (GB)
Publication Details
- Journal
- Cancer Research
- Published
- 2026-04-03
- DOI
- https://doi.org/10.1158/1538-7445.am2026-4646
- Primary Topic
- Peptidase Inhibition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00