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Detection of metastatic lymph node and sentinel lymph node mapping ​using mannose receptor targeting in in vivo mouse and rabbit uterine cancer models

医学 吲哚青绿 前哨淋巴结 体内 淋巴结 活检 淋巴 转移 癌症 病理 内科学 乳腺癌 生物 生物技术
作者
Sohyeon Jeong,Sang-Goo Jeong,Jin Hwa Hong,Kyungsu Kim,Beop-Min Kim,Ji Yong Park,Kweon Kim,Hyun-Woong Cho,Hyun Koo Kim
出处
期刊:International Journal of Surgery [Elsevier]
标识
DOI:10.1097/js9.0000000000001227
摘要

Background: This study aimed to evaluate the effectiveness of neo-mannosyl human serum albumin-indocyanine green (MSA-ICG) for detecting metastatic lymph node and mapping sentinel lymph node (SLN) using mouse footpad uterine tumor models. Additionally, we assessed the feasibility of MSA-ICG in SLN mapping in rabbit uterine cancer models. Materials and Methods: We compared the LN targeting ability of MSA-ICG with ICG. Six mouse footpad tumor models and two normal mice were each assigned to MSA-ICG and ICG, respectively. After the assigned tracers were injected, fluorescence images were taken, and we compared the signal-to-background ratio (SBR) of the tracers. A SLN biopsy was performed to confirm LN metastasis status and CD206 expression level. Finally, an intraoperative SLN biopsy was performed in rabbit uterine cancer models using MSA-ICG. Results: We detected 14 groin LNs out of 16 in the MSA-ICG and ICG groups. The SBR of the MSA-ICG group was significantly higher than that of the ICG group. The metastatic LN subgroup of MSA-ICG showed a significantly higher SBR than that of ICG. CD206 was expressed at a high level in metastatic LN, and the signal intensity difference increased as the CD206 expression level increased. SLN mapping was successfully performed in two of the three rabbit uterine cancer models. Conclusion: MSA-ICG was able to distinguish metastatic LN for an extended period due to its specific tumor-associated macrophage-targeting property. Therefore, it may be a more distinguishable tracer for identifying metastatic LNs and SLNs during uterine cancer surgery. Further research is needed to confirm these results.
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