In vivo staging of colitis, adenoma and carcinoma in CRC progression by combination of H4R/DRD4-targeted fluorescent probes

体内 结直肠癌 腺瘤 恶性肿瘤 癌症 癌症研究 医学 癌 病理 内科学 肿瘤科 生物 生物技术
作者
Xin Wang,Xianrui Yin,Keshuai Huang,Chang Li,Cheng Liu,Xin Chen,Qiao Lin,Siwen Li,Zhihai Han,Yueqing Gu
出处
期刊:European journal of medicinal chemistry [Elsevier BV]
卷期号:275: 116560-116560 被引量:5
标识
DOI:10.1016/j.ejmech.2024.116560
摘要

Colorectal cancer (CRC) is the third most prevalent malignancy and the second leading cause of cancer-related mortality worldwide. Currently, CRC staging heavily relies on invasive surgical procedures for in vitro pathological analysis, which entails long detection cycles and increases the risk of metastasis. There is an urgent need for specific biomarkers to classify adenomas and cancers, while early in vivo staging detection could potentially reduce mortality and morbidity rates. This study focused on Type IV histamine receptor (H4R), which is highly expressed only in the inflammatory stage, and Dopamine receptor D4 (DRD4), which is highly expressed in colorectal adenoma and carcinoma stages. Fluorescent targeted molecular probes H4R-Cy5 and DRD4-M were constructed respectively. The in vitro cell level proves that H4R-Cy5 only has high specificity for RAW264.7 cells, and DRD4-M only has good affinity for HT29 cells. In inflammation-HT29 subcutaneous tumors, H4R-Cy5 and DRD4-M can target inflammation and tumor lesions respectively. In addition, this study is the first to combine the two probes to explore the feasibility of in vivo non-invasive staging on CRC mouse models. The results show that H4R-Cy5 can distinguish and identify the stages of inflammation in vivo, and the DRD4-M probe can accurately identify the stages of colorectal adenoma and carcinoma in vivo. The combination of these two probes can achieve precise non-invasive staging of colitis, adenoma and carcinoma, which is a major advance in the development of accurate diagnostic methods for colorectal precancerous lesions and has important implications for the selection of treatment strategies.
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