Related Experiment Video
Updated: May 13, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
Published on: July 17, 2012
FGF2-Based Cyclic Peptide PET Tracer for Noninvasive Detection of FGFR1 Expression in Non-Small Cell Lung Cancer
Yan Xue1,2, Zhihong Huang1,2, Xue Zhu1,2
1National Health Commission Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu 214063, China.
Abstract:
FGFR1 overexpression is strongly correlated with tumorigenesis, malignant progression, and poor clinical outcomes of nonsmall cell lung cancer (NSCLC). The development of PET radiotracers specifically targeting FGFR1 holds significant clinical value for guiding FGFR1-targeted therapy, evaluating treatment efficacy, and monitoring drug resistance. In this study, we used computational simulation approaches to develop linear peptide RY9 along with cyclic peptides cRY9 and cRY9M, derived from FGF2, a particular ligand of FGFR1, and designed FGFR1-targeting radiotracers [68Ga]Ga-NOTA-RY9, [68Ga]Ga-NOTA-cRY9 and [68Ga]Ga-NOTA-cRY9M for detecting the FGFR1 expression. In comparison to [68Ga]Ga-NOTA-RY9 and [68Ga]Ga-NOTA-cRY9, [68Ga]Ga-NOTA-cRY9M demonstrated superior FGFR1-binding affinity, enhanced in vivo stability, and a significantly improved tumor-to-background ratio (TBR). Notably, PET imaging revealed that [68Ga]Ga-NOTA-cRY9M exhibited significant and specific tumor uptake in FGFR1-positive NSCLC cell-derived xenograft (CDX) models and patient-derived xenograft (PDX) models. These results demonstrate that the cyclic peptide-based radiotracer [68Ga]Ga-NOTA-cRY9M serves as a potential diagnostic agent for FGFR1-expressing tumors.
More Related Videos
07:32Screening and Identification of Small Peptides Targeting Fibroblast Growth Factor Receptor2 using a Phage Display Peptide Library
Published on: September 30, 2019
10:33Automated Preparation of [68Ga]Ga-3BP-3940 on a Synthesis Module for PET Imaging of the Tumor Microenvironment
Published on: April 25, 2025