Abstract 2699: Investigating fibroblast activation protein alpha (FAPα) as a therapeutic target for delivery of pre|CISION® cancer medicines: Expression, spatial localization and functional insights

Abstract Fibroblast activation protein α (FAP) is a post-proline protease and solid-tumor target which Avacta’s pre|CISION® peptide moiety linker selectively uses as a differentiated means to target the tumor microenvironment (TME). The potential of the pre|CISION® technology is highlighted by the promising clinical data from AVA6000, a pre|CISION® enabled Doxorubicin peptide drug conjugate. FAP expression is tightly regulated in normal adult tissues, with low to undetectable levels in most healthy cells. However, it becomes highly upregulated in the TME where it is expressed by cancer-associated fibroblasts (CAFs). This selective expression pattern has been observed in over 90% of epithelial tumors, including breast, colorectal, pancreatic, lung, brain, and ovarian cancer. We implemented a multi-faceted approach to further the understanding of FAP biology and the potential application for pre|CISION® medicines across a broad range of tumors. We conducted a comprehensive analysis of FAP using real-world data from Tempus AI’s LENS database encompassing over 140, 000 tumor samples across 30+ solid tumor types. We evaluated FAP pan-cancer RNA expression, spatial organization of FAP in the TME, as well as correlations with biomarkers. We further analyzed FAP expression pre- and post-treatment and performed in-depth analysis to evaluate FAP expression in tumor subtypes and primary or metastatic lesions. Single-cell RNA-sequencing (scRNA-seq) analysis provided insights into FAP-expressing cell populations as well as correlations between CAF abundance and FAP. FAP expression was evaluated at the protein level using IHC analysis across multiple tumor indications. Multi-immunofluorescence IHC (multi-IF) was used to evaluate the spatial localization of FAP relative to tumor cells and vasculature. Our findings reveal high FAP expression across a range of tumor indications and demonstrate a correlation with novel biomarkers of interest. IHC analysis confirms a direct relationship between FAP RNA and protein expression, while multi-IF imaging and concentric partitioning analysis for a range of solid tumor indications shows the spatial association of tumor cells, blood vessels and CAFs expressing FAP. ScRNA-seq data confirms high level FAP expression on fibroblasts in stromal-rich tumors. Finally, co-culture models were established with tumor cells and matched fibroblasts which represent tumors with differing levels of FAP enzyme activity. Avacta’s preCISION® peptide-drug conjugates elicit bystander cell kill over a range of physiological FAP levels within these co-culture models. Combined, these analyses emphasize the significance of FAP as an important stromal target for focused delivery of targeted oncology therapeutics, and guide further development of the preCISION® pipeline. Citation Format: Ruairidh Edwards, 1 Curtis Rink, 1 Giulia Tagliavini, 2 Christopher Mills, 2 David Jones, 1 Michelle Morrow1. Investigating fibroblast activation protein alpha (FAPα) as a therapeutic target for delivery of pre|CISION® cancer medicines: Expression, spatial localization and functional insights [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2699.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-2699
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2699: Investigating fibroblast activation protein alpha (FAPα) as a therapeutic target for delivery of pre|CISION® cancer medicines: Expression, spatial localization and functional insights

Michelle Morrow, Giulia Tagliavini, C. J. Mills, Curtis Rink et al.
Cancer Research
Peptidase Inhibition and Analysis
article

Abstract 2699: Investigating fibroblast activation protein alpha (FAPα) as a therapeutic target for delivery of pre|CISION® cancer medicines: Expression, spatial localization and functional insights

Michelle Morrow, Giulia Tagliavini, C. J. Mills, Curtis Rink, Ruairidh Edwards, David N. M. Jones
article en

Abstract

Abstract Fibroblast activation protein α (FAP) is a post-proline protease and solid-tumor target which Avacta’s pre|CISION® peptide moiety linker selectively uses as a differentiated means to target the tumor microenvironment (TME). The potential of the pre|CISION® technology is highlighted by the promising clinical data from AVA6000, a pre|CISION® enabled Doxorubicin peptide drug conjugate. FAP expression is tightly regulated in normal adult tissues, with low to undetectable levels in most healthy cells. However, it becomes highly upregulated in the TME where it is expressed by cancer-associated fibroblasts (CAFs). This selective expression pattern has been observed in over 90% of epithelial tumors, including breast, colorectal, pancreatic, lung, brain, and ovarian cancer. We implemented a multi-faceted approach to further the understanding of FAP biology and the potential application for pre|CISION® medicines across a broad range of tumors. We conducted a comprehensive analysis of FAP using real-world data from Tempus AI’s LENS database encompassing over 140, 000 tumor samples across 30+ solid tumor types. We evaluated FAP pan-cancer RNA expression, spatial organization of FAP in the TME, as well as correlations with biomarkers. We further analyzed FAP expression pre- and post-treatment and performed in-depth analysis to evaluate FAP expression in tumor subtypes and primary or metastatic lesions. Single-cell RNA-sequencing (scRNA-seq) analysis provided insights into FAP-expressing cell populations as well as correlations between CAF abundance and FAP. FAP expression was evaluated at the protein level using IHC analysis across multiple tumor indications. Multi-immunofluorescence IHC (multi-IF) was used to evaluate the spatial localization of FAP relative to tumor cells and vasculature. Our findings reveal high FAP expression across a range of tumor indications and demonstrate a correlation with novel biomarkers of interest. IHC analysis confirms a direct relationship between FAP RNA and protein expression, while multi-IF imaging and concentric partitioning analysis for a range of solid tumor indications shows the spatial association of tumor cells, blood vessels and CAFs expressing FAP. ScRNA-seq data confirms high level FAP expression on fibroblasts in stromal-rich tumors. Finally, co-culture models were established with tumor cells and matched fibroblasts which represent tumors with differing levels of FAP enzyme activity. Avacta’s preCISION® peptide-drug conjugates elicit bystander cell kill over a range of physiological FAP levels within these co-culture models. Combined, these analyses emphasize the significance of FAP as an important stromal target for focused delivery of targeted oncology therapeutics, and guide further development of the preCISION® pipeline. Citation Format: Ruairidh Edwards, 1 Curtis Rink, 1 Giulia Tagliavini, 2 Christopher Mills, 2 David Jones, 1 Michelle Morrow1. Investigating fibroblast activation protein alpha (FAPα) as a therapeutic target for delivery of pre|CISION® cancer medicines: Expression, spatial localization and functional insights [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2699.

Cancer ResearchVol. 85(8_Supplement_1)
Scottish Universities Life Sciences Alliance (GB)
Openalex Percentile: Top 88%
Peptidase Inhibition and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.