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已发表论文
基于小鼠模型的聚多巴胺纳米颗粒多模态成像用于胃癌术前和术中淋巴结有效筛查
Authors Liang Y , Shen G, He K, Wang W, Xiao B, Lin T, Huang H, Li Z, Ren Y, Wang Z, Luo Y, Guo W, Hu Y, Li G
Received 20 August 2025
Accepted for publication 23 January 2026
Published 4 February 2026 Volume 2026:21 555760
DOI https://doi.org/10.2147/IJN.S555760
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr RDK Misra
Yanrui Liang,1,* Guodong Shen,1,* Keyu He,1,* Weisheng Wang,1,* Bing Xiao,1,* Tian Lin,1 Huilin Huang,1 Zhenyuan Li,1 Yingxin Ren,1 Zean Wang,1 Yiheng Luo,1 Weihong Guo,1 Yanfeng Hu,1 Guoxin Li1,2
1Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, People’s Republic of China; 2Cancer Center of Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Guoxin Li, Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Ave, Guangzhou, Guangdong, 510515, People’s Republic of China, Tel +0086-20-6164-1681, Email gzliguoxin@163.com Yanfeng Hu, Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Ave, Guangzhou, Guangdong, 510515, People’s Republic of China, Tel +0086-20-6164-1681, Email yfenghu@qq.com
Introduction: Systematic lymphadenectomy is crucial in gastric cancer surgery for improving patient prognosis. However, current clinical lymph node (LN) mapping relies on fragmentary single-modal imaging agents, which suffer from low accuracy in N-staging and lack integration between preoperative and intraoperative visualization.
Methods: We developed polydopamine-based nanoparticles (PEG-PDA@IR820/Gd(NH2)2) termed PPIG NPs) as a unified multimodal imaging agent for magnetic resonance (MR), optical, near-infrared (NIR) fluorescence, and thermal LN mapping. PPIG NPs were synthesized in three distinct size ranges (50– 100 nm, 100– 150 nm, 150– 200 nm). Their imaging performance and lymphatic drainage kinetics were evaluated in vivo in a mouse model. Furthermore, the efficacy of PPIG NPs for LN identification was validated in fresh human gastric and colon cancer specimens via subserosal injection.
Results: The differently sized PPIG NPs exhibited tunable and size-dependent lymphatic drainage and retention. In mice, they enabled integrative pre-operative (MR) and intra-operative (optical/NIR fluorescence/thermal) multimodal mapping of popliteal LNs. In human specimens, PPIG NPs specifically delineated lymphatic vessels and LNs. Guided by this dual-modal (optical/NIR) mapping, lymphadenectomy in human gastric specimens achieved a significantly higher LN yield compared to conventional visual inspection (mean number: 55.4 vs 36.8, p < 0.05). The approach also facilitated the precise identification of residual lymphatic vessels post-dissection.
Conclusion: PPIG NPs provide an integrative pre- and intra-operative multimodal LN mapping platform. This strategy, enabling “see-before-cut” planning and “trace-while-cutting” navigation, demonstrates superior accuracy for LN and lymphatic vessel identification compared to current fragmentary techniques, showing promising potential for guiding precise lymphadenectomy in gastric cancer.
Keywords: gastric cancer, lymph node mapping, lymphatic vessels, polydopamine-based nanoparticles, systemic lymphadenectomy
1Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, People’s Republic of China; 2Cancer Center of Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Guoxin Li, Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Ave, Guangzhou, Guangdong, 510515, People’s Republic of China, Tel +0086-20-6164-1681, Email gzliguoxin@163.com Yanfeng Hu, Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Ave, Guangzhou, Guangdong, 510515, People’s Republic of China, Tel +0086-20-6164-1681, Email yfenghu@qq.com
Introduction: Systematic lymphadenectomy is crucial in gastric cancer surgery for improving patient prognosis. However, current clinical lymph node (LN) mapping relies on fragmentary single-modal imaging agents, which suffer from low accuracy in N-staging and lack integration between preoperative and intraoperative visualization.
Methods: We developed polydopamine-based nanoparticles (PEG-PDA@IR820/Gd(NH2)2) termed PPIG NPs) as a unified multimodal imaging agent for magnetic resonance (MR), optical, near-infrared (NIR) fluorescence, and thermal LN mapping. PPIG NPs were synthesized in three distinct size ranges (50– 100 nm, 100– 150 nm, 150– 200 nm). Their imaging performance and lymphatic drainage kinetics were evaluated in vivo in a mouse model. Furthermore, the efficacy of PPIG NPs for LN identification was validated in fresh human gastric and colon cancer specimens via subserosal injection.
Results: The differently sized PPIG NPs exhibited tunable and size-dependent lymphatic drainage and retention. In mice, they enabled integrative pre-operative (MR) and intra-operative (optical/NIR fluorescence/thermal) multimodal mapping of popliteal LNs. In human specimens, PPIG NPs specifically delineated lymphatic vessels and LNs. Guided by this dual-modal (optical/NIR) mapping, lymphadenectomy in human gastric specimens achieved a significantly higher LN yield compared to conventional visual inspection (mean number: 55.4 vs 36.8, p < 0.05). The approach also facilitated the precise identification of residual lymphatic vessels post-dissection.
Conclusion: PPIG NPs provide an integrative pre- and intra-operative multimodal LN mapping platform. This strategy, enabling “see-before-cut” planning and “trace-while-cutting” navigation, demonstrates superior accuracy for LN and lymphatic vessel identification compared to current fragmentary techniques, showing promising potential for guiding precise lymphadenectomy in gastric cancer.
Keywords: gastric cancer, lymph node mapping, lymphatic vessels, polydopamine-based nanoparticles, systemic lymphadenectomy