Visualization of nonsmall-cell lung cancer by near-infrared fluorescence imaging with tumor-targeting peptide ABT-510

被引:0
|
作者
Tu, Yuanbiao [1 ]
Gao, Minfang [1 ]
Tao, Tianming [1 ]
Zhou, Kuncheng [1 ]
Li, Shuxin [1 ]
Tao, Ji [3 ]
Wang, Fang [1 ]
Han, Ray P. S. [1 ]
Chen, Ziliang [1 ]
Li, Gang [2 ]
Luo, Ping [1 ]
机构
[1] Jiangxi Univ Chinese Med, Canc Res Ctr, Jiangxi Engn Res Ctr Translat Canc Technol, Jiangxi Prov Key Lab Diag Treatment & Rehabil Canc, Nanchang 330004, Peoples R China
[2] Yuzhang Normal Univ, Dept Ecol & Environm, Key Lab Nanchang City Green New Mat & Ind Wastewat, Nanchang 330103, Peoples R China
[3] Fudan Univ, Human Phenome Inst, Shanghai 201203, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonsmall-cell lung cancer; Orthotopic tumour; Liver metastasis; Intestinal metastases; Near-infrared fluorescence imaging; PHASE-I; METASTASES; MODEL; SURVIVAL; GROWTH;
D O I
10.1016/j.bioorg.2024.107685
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Nonsmall-cell lung cancer (NSCLC) is the most frequent type of lung cancer, with early surgical treatment proving vital for prolonged patient survival. However, precise visualization of NSCLC remains a challenge due to limited molecular imaging probes, the unique anatomical structure of the lungs, and respiratory movement interference. In this study, we investigated the potential utility of CD36, which is highly expressed in NSCLC, as an imaging target. A selective and water-soluble fluorescent probe, MPA-ABT-510, was successfully constructed by coupling ABT-510 with MPA, a near-infrared (NIR) fluorescent dye. Molecular docking analysis shows that MPA-ABT-510 possesses strong binding affinity to the CD36 protein, with specific hydrogen bond interactions at defined amino acid residues. In vitro assays reveals that the fluorescein isothiocyanate-labeled peptide ABT-510 specifically binds to the CD36-high expressing NSCLC cell lines H1299 and A549. In vivo imaging verifies that the MPA-ABT-510 efficiently accumulates in the tumor site with a distinct fluorescent signal. Ex vivo imaging revealed that tumor-to-lung fluorescence ratios for subcutaneous and orthotopic H1299 mouse models were 7.19 f 0.73 and 1.91 f 0.42, respectively, while those for A549 mice were 5.53 f 0.64 and 1.77 f 0.41, respectively. Biodistribution analysis demonstrated efficient MPA-ABT-510 uptake in H1299 and A549 liver metastases models with tumor-to-liver fluorescence ratios of 2.47 f 0.48 and 2.19 f 0.22, respectively. High MPA-ABT-510 accumulation was evident in A549 intestinal metastases models, as evidenced by tumor-to-colorectal fluorescence ratios of 4.27 f 0.11. MPA-ABT-510 exhibits superior imaging capabilities with minimal safety concerns, so it is a promising candidate for NSCLC surgical navigation.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Transformation of Viral Light Particles into Near-Infrared Fluorescence Quantum Dot-Labeled Active Tumor-Targeting Nanovectors for Drug Delivery
    Lv, Cheng
    Zhang, Tian-Yu
    Lin, Yi
    Tang, Man
    Zhai, Cai-Hua
    Xia, Hou-Fu
    Wang, Ji
    Zhang, Zhi-Ling
    Xie, Zhi-Xiong
    Chen, Gang
    Pang, Dai-Wen
    NANO LETTERS, 2019, 19 (10) : 7035 - 7042
  • [32] Erratum to: Imaging tumor angiogenesis in breast cancer experimental lung metastasis with positron emission tomography, near-infrared fluorescence, and bioluminescence
    Yin Zhang
    Hao Hong
    Tapas R. Nayak
    Hector F. Valdovinos
    Duane V. Myklejord
    Charles P. Theuer
    Todd E. Barnhart
    Weibo Cai
    Angiogenesis, 2013, 16 : 993 - 994
  • [33] Specific diagnosis of lymph node micrometastasis in breast cancer by targeting activatable near-infrared fluorescence imaging
    Zhao, Duo
    Xu, Menghong
    Yang, Shiyuan
    Ma, Huide
    Li, Huiwen
    Wu, Rong
    He, Yu
    Wang, Shumin
    Liang, Xiaolong
    BIOMATERIALS, 2022, 282
  • [34] INOR 115-Peptide-labeled quantum dots for in vivo near-infrared fluorescence imaging of tumor vasculature
    Cai, Weibo
    Chen, Xiaoyuan
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2006, 232
  • [35] Methylene Blue-Based Near-Infrared Fluorescence Imaging for Breast Cancer Visualization in Resected Human Tissues
    Zhang, Chong
    Jiang, Daqing
    Huang, Bo
    Wang, Cong
    Zhao, Lin
    Xie, Xianxin
    Zhang, Zhaohe
    Wang, Kun
    Tian, Jie
    Luo, Yahong
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2019, 18
  • [36] Dual-channel near-infrared fluorescence imaging for simultaneous identification of lung cancer and intersegmental plane
    Quan, Yu Hua
    Bao, Kai
    Kim, Kyungsu
    Wang, Haoran
    Yokomizo, Shinya
    Park, G. Kate
    Choi, Byeong Hyeon
    Rho, Jiyun
    Kim, Chungyeul
    Choi, Hak Soo
    Kim, Hyun Koo
    CANCER RESEARCH, 2022, 82 (12)
  • [37] Evaluation of COC183B2 antibody targeting ovarian cancer by near-infrared fluorescence imaging
    Chen Zhang
    Xinyu Ling
    Yanxiu Guo
    Cunzhong Yuan
    Hongyan Cheng
    Xue Ye
    Ruiqiong Ma
    Yinli Zhang
    Yi Li
    Xiaohong Chang
    Beihua Kong
    Tao Liu
    Heng Cui
    ChineseJournalofCancerResearch, 2019, 31 (04) : 673 - 685
  • [38] Multifunctional Gold Nanoclusters for Effective Targeting, Near-Infrared Fluorescence Imaging, Diagnosis, and Treatment of Cancer Lymphatic Metastasis
    Pang, Zeyang
    Yan, Weixiao
    Yang, Jie
    Li, Qizhen
    Guo, Yuan
    Zhou, Dejian
    Jiang, Xingyu
    ACS NANO, 2022, 16 (10) : 16019 - 16037
  • [39] Evaluation of COC183B2 antibody targeting ovarian cancer by near-infrared fluorescence imaging
    Zhang, Chen
    Ling, Xinyu
    Guo, Yanxiu
    Yuan, Cunzhong
    Cheng, Hongyan
    Ye, Xue
    Ma, Ruiqiong
    Zhang, Yinli
    Li, Yi
    Chang, Xiaohong
    Kong, Beihua
    Liu, Tao
    Cui, Heng
    CHINESE JOURNAL OF CANCER RESEARCH, 2019, 31 (04) : 673 - 685
  • [40] Targeted Near-Infrared Fluorescence Imaging of Liver Cancer using Dual-Peptide-Functionalized Albumin Particles
    Dou, Wei-Tao
    Guo, Chen
    Zhu, Ling
    Qiu, Peng
    Kan, Weijuan
    Pan, Yu-Fei
    Zang, Yi
    Dong, Li-Wei
    Li, Jia
    Tan, Ye-Xiong
    Wang, Hong-Yang
    He, Xiao-Peng
    CHEMICAL & BIOMEDICAL IMAGING, 2023, 2 (01): : 47 - 55