Synthesis and Evaluation of 68 Ga-NOTA-COG1410 Targeting to TREM2 of TAMs as a Specific PET Probe for Digestive Tumor Diagnosis.
Dai ShiZhan SiZhan XuYuan ChengQingyu LinZhequan FuWenhui FuTingting YangHongcheng ShiDengfeng ChengPublished in: Analytical chemistry (2022)
Currently, positron emission tomography/computed tomography (PET/CT) is an important method for the discovery and diagnosis of digestive system tumors. However, the shortage of specific imaging tracer limits the effectiveness of PET. Triggering receptor expressed on myeloid cells 2 (TREM2) as an M2-type macrophage biomarker is receiving much attention considering its high abundance and specificity, which could be an ideal target for PET imaging. First, the expression of TREM2 in tumors and corresponding normal tissues was analyzed using a database and was verified by tissue microarrays and murine model slices, and we found that the expression of TREM2 in tumor tissues was significantly higher than that in normal tissues and enteritis tissues. Then, we established a macrophage co-culture system to obtain tumor-associated macrophages (TAMs). Compared with M1-type macrophages and tumor cells, TAMs had a higher expression level of TREM2. The novel radioligand 68 Ga-NOTA-COG1410 was successfully synthesized for TREM2 targeting PET imaging. The biodistribution and micro-PET/CT results showed high uptake of 68 Ga-NOTA-COG1410 in the tumor but not in areas of inflammation. The data testified that 68 Ga-NOTA-COG1410 was a specific radioligand targeting TREM2, which could be used to distinguish tumors from inflammation. Using 68 Ga-NOTA-COG1410, the effectiveness of PET on digestive tumors imaging may be enhanced.
Keyphrases
- pet ct
- positron emission tomography
- pet imaging
- poor prognosis
- computed tomography
- gene expression
- randomized controlled trial
- oxidative stress
- high resolution
- binding protein
- systematic review
- cancer therapy
- induced apoptosis
- adipose tissue
- magnetic resonance
- high throughput
- dendritic cells
- acute myeloid leukemia
- bone marrow
- magnetic resonance imaging
- quantum dots
- emergency department
- mass spectrometry
- living cells
- artificial intelligence
- big data
- photodynamic therapy
- image quality
- fluorescence imaging