CLDN18.2 Targeting Nanobody Probe for PET Imaging in Solid Tumors
- Registration Number
 - NCT05436093
 
- Lead Sponsor
 - Peking University Cancer Hospital & Institute
 
- Brief Summary
 The objective of the study is to construct a noninvasive approach 68Ga-ACN376 PET/CT to detect the CLDN18.2 expression of tumor lesions in patients with Solid tumors and to identify patients benefiting from CLDN18.2 targeting treatment.
- Detailed Description
 Not available
Recruitment & Eligibility
- Status
 - RECRUITING
 
- Sex
 - All
 
- Target Recruitment
 - 15
 
Inclusion Criteria
- 
- Aged >18 years old; ECOG 0 or 1;
 
 - 
- Patients with solid tumors;
 
 - 
- Has at least one measurable target lesion according to Response Evaluation Criteria in Solid Tumors (RECIST V1.1);
 
 - 
- life expectancy >=12 weeks.
 
 
Exclusion Criteria
- 
- Significant hepatic or renal dysfunction;
 
 - 
- Is pregnant or ready to pregnant;
 
 - 
- Cannot keep their states for half an hour;
 
 - 
- Refusal to join the clinical study;
 
 - 
- Suffering from claustrophobia or other mental diseases;
 
 - 
- Any other situation that researchers think it is not suitable to participate in the experiment.
 
 
Study & Design
- Study Type
 - INTERVENTIONAL
 
- Study Design
 - SINGLE_GROUP
 
- Arm && Interventions
 Group Intervention Description 68Ga-ACN376 18F-FDG Imaging cohort All study participants will be allocated to this arm (single-arm study). Study participants will undergo 68Ga-ACN376 PET/CT scan. 
- Primary Outcome Measures
 Name Time Method Standardized uptake value(SUV) 2 years SUV is a semi-quantitative analysis index to describe the radioactive uptake of lesions, which has certain reference value for differentiating benign and malignant lesions。 The uptake of the tracer (68Ga-ACN376) in solid tumor lesions by measuring SUV on PET/CT.
- Secondary Outcome Measures
 Name Time Method 
Trial Locations
- Locations (1)
 Beijing cancer hospital
🇨🇳Beijing, Beijing, China
Beijing cancer hospital🇨🇳Beijing, Beijing, ChinaHua ZhuContact010-88196495zhuhuabch@pku.edu.cn
