NIR-II nanoprobes in-vivo assembly to improve image-guided surgery for metastatic ovarian cancer.
NIR-II nanoprobes in-vivo assembly to improve image-guided surgery for metastatic ovarian cancer.
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DOI：
10.1038/s41467-018-05113-8
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发表时间：
2018-07-24
影响因子：
16.6
通讯作者：
Zhang F
中科院分区：
文献类型：
--
作者：
Wang P;Fan Y;Lu L;Liu L;Fan L;Zhao M;Xie Y;Xu C;Zhang F
局部复发是实体瘤患者治疗失败的常见原因。肿瘤特异性术中荧光成像可以改善肿瘤细胞减灭术的分期和减瘤效果，从而改善预后。在这里，我们报告在体内组装的第二近红外窗口（NIR-II）发射下转换纳米粒子（DCNPs）与DNA和靶向肽修饰，以改善转移性卵巢癌的图像引导手术。DCNP的NIR-II成像质量上级临床批准的ICG，具有良好的光稳定性和深层组织穿透性（8 mm）。通过纳米探针的体内组装经历6小时的稳定肿瘤保留期可用于精确的肿瘤切除。成功地实现了上级肿瘤与正常组织的比例，以促进腹部卵巢转移瘤的手术勾画。≤1 mm的转移瘤可在NIR-II生物成像引导下完全切除。这项新技术为未来设计用于医疗应用的纳米材料提供了新的基础。NIR-II区域的实时荧光成像提供了卵巢转移性肿瘤的非侵入性检测及其图像引导手术。在这里，作者描述了用于检测播散性卵巢癌的NIR-II纳米探针的体内组装。
Local recurrence is a common cause of treatment failure for patients with solid tumors. Tumor-specific intraoperative fluorescence imaging may improve staging and debulking efforts in cytoreductive surgery and, thereby improve prognosis. Here, we report in vivo assembly of the second near-infrared window (NIR-II) emitting downconversion nanoparticles (DCNPs) modified with DNA and targeting peptides to improve the image-guided surgery for metastatic ovarian cancer. The NIR-II imaging quality with DCNPs is superior to that of clinically approved ICG with good photostability and deep tissue penetration (8 mm). Stable tumor retention period experienced 6 h by in vivo assembly of nanoprobes can be used for precise tumor resection. Superior tumor-to-normal tissue ratio is successfully achieved to facilitate the abdominal ovarian metastases surgical delineation. Metastases with ≤1 mm can be completely excised under NIR-II bioimaging guidance. This novel technology provides a general new basis for the future design of nanomaterials for medical applications. Real-time fluorescence imaging in the NIR-II region offers non-invasive detection of ovarian metastatic tumors and their image-guided surgery. Here the authors describe NIR-II nanoprobes in vivo assembly for detection of disseminated ovarian cancer.
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