Development and Preliminary Evaluations of a Novel <sup>18</sup> F-Labeled Tracer for Detection of BRAF <sup>V600E</sup> Mutant Status in Animal Models of Melanoma

The BRAF<sup>V600E</sup> mutation is a well-established oncogenic driver, and several oral inhibitors have achieved clinical success. However, radiolabeled tracers for the non-invasive imaging of this mutation remain limited. <i>N</i>-(2-Chloro-3-((3,5-dimethyl-4-oxo-3,4-dihydroquinazolin-6-yl)oxy)-5-fluorophenyl)propane-1-sulfonamide (<b>74</b>) is a novel oral inhibitor targeting BRAF<sup>V600E</sup> with high inhibitory potency. Here, we report the synthesis of its precursor and the radiosynthesis of its <sup>18</sup>F-labeled version, [<sup>18</sup>F]LP-1 ([<sup>18</sup>F]<b>74</b>). The tracer exhibited nanomolar cellular binding affinity for BRAF<sup>V600E</sup>-positive A375 melanoma cells (IC<sub>50</sub> = 31.6 nM) and demonstrated selective uptake in tumor models with distinct BRAF mutation status. Blocking studies with the BRAF<sup>V600E</sup>-selective inhibitor vemurafenib further confirmed its specific binding. Our findings highlight the potential of [<sup>18</sup>F]LP-1 as a lead structure for the development of PET molecular tracers capable of detecting BRAF<sup>V600E</sup> mutation status in vivo and support the development of next-generation radiotracers based on the scaffold.

Authors

Institutions

Publication Details

Journal
Molecular Pharmaceutics
Published
2026-03-13
DOI
https://doi.org/10.1021/acs.molpharmaceut.5c01680
Primary Topic
Melanoma and MAPK Pathways
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Preliminary Evaluations of a Novel 18 F-Labeled Tracer for Detection of BRAF V600E Mutant Status in Animal Models of Melanoma

Jun Qian, Wanru Zhuang, Zi Wang, Yiming Guo et al.
Molecular Pharmaceutics
Melanoma and MAPK Pathways
article

Development and Preliminary Evaluations of a Novel 18 F-Labeled Tracer for Detection of BRAF V600E Mutant Status in Animal Models of Melanoma

Jun Qian, Wanru Zhuang, Zi Wang, Yiming Guo, Chentian Shen, Junbin Han, Zijing Li, Yingfang He
article en

Abstract

The BRAF<sup>V600E</sup> mutation is a well-established oncogenic driver, and several oral inhibitors have achieved clinical success. However, radiolabeled tracers for the non-invasive imaging of this mutation remain limited. <i>N</i>-(2-Chloro-3-((3,5-dimethyl-4-oxo-3,4-dihydroquinazolin-6-yl)oxy)-5-fluorophenyl)propane-1-sulfonamide (<b>74</b>) is a novel oral inhibitor targeting BRAF<sup>V600E</sup> with high inhibitory potency. Here, we report the synthesis of its precursor and the radiosynthesis of its <sup>18</sup>F-labeled version, [<sup>18</sup>F]LP-1 ([<sup>18</sup>F]<b>74</b>). The tracer exhibited nanomolar cellular binding affinity for BRAF<sup>V600E</sup>-positive A375 melanoma cells (IC<sub>50</sub> = 31.6 nM) and demonstrated selective uptake in tumor models with distinct BRAF mutation status. Blocking studies with the BRAF<sup>V600E</sup>-selective inhibitor vemurafenib further confirmed its specific binding. Our findings highlight the potential of [<sup>18</sup>F]LP-1 as a lead structure for the development of PET molecular tracers capable of detecting BRAF<sup>V600E</sup> mutation status in vivo and support the development of next-generation radiotracers based on the scaffold.

Molecular Pharmaceutics
Petronas (Malaysia) (MY), Xiamen University (CN), Fudan University (CN), Ministry of Education (KR), Shanghai Sixth People's Hospital (CN), Huashan Hospital (CN)
Zero hunger
Openalex Percentile: Top 22%
Melanoma and MAPK Pathways
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.