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Feasibility study of the optical imaging of a breast cancer lesion labeled with upconversion nanoparticle biocomplexes

机译:上转换纳米颗粒生物复合物标记的乳腺癌病变的光学成像的可行性研究

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摘要

Innovative luminescent nanomaterials, termed upconversion nanoparticles (UCNPs), have demonstrated considerable promise as molecular probes for high-contrast optical imaging in cells and small animals. The feasibility study of optical diagnostics in humans is reported here based on experimental and theoretical modeling of optical imaging of an UCNP-labeled breast cancer lesion. UCNPs synthesized in-house were surface-capped with an amphiphilic polymer to achieve good colloidal stability in aqueous buffer solutions. The scFv4D5 mini-antibodies were grafted onto the UCNPs via a high-affinity molecular linker barstar: barnase (Bs:Bn) to allow their specific binding to the human epidermal growth factor receptor HER2/neu, which is overexpressed in human breast adenocarcinoma cells SK-BR-3. UCNP-Bs:Bn-scFv4D5 biocomplexes exhibited high-specific immobilization on the SK-BR-3 cells with the optical contrast as high as 10:1 benchmarked against a negative control cell line. Breast cancer optical diagnostics was experimentally modeled by means of epi-luminescence imaging of a monolayer of the UCNP-labeled SK-BR-3 cells buried under a breast tissue mimicking optical phantom. The experimental results were analyzed theoretically and projected to in vivo detection of early-stage breast cancer. The model predicts that the UCNP-assisted cancer detection is feasible up to 4 mm in tissue depth showing considerable potential for diagnostic and image-guided surgery applications.
机译:被称为上转换纳米颗粒(UCNPs)的创新发光纳米材料,作为细胞和小型动物中高对比度光学成像的分子探针,已显示出可观的前景。本文基于UCNP标记的乳腺癌病变的光学成像的实验和理论模型,报道了人类进行光学诊断的可行性研究。内部合成的UCNP用两亲性聚合物进行表面封端,以在缓冲水溶液中获得良好的胶体稳定性。 scFv4D5迷你抗体通过高亲和力分子接头barstar:barnase(Bs:Bn)移植到UCNPs上,以使其与人表皮生长因子受体HER2 / neu特异性结合,后者在人乳腺腺癌细胞SK中过表达-BR-3。 UCNP-Bs:Bn-scFv4D5生物复合物在SK-BR-3细胞上表现出高特异性固定,相对于阴性对照细胞系,其光学对比度高达10:1。乳腺癌的光学诊断是通过掩埋在模拟光学体模的乳腺组织下的单层UCNP标记的SK-BR-3细胞的落射荧光成像在实验上建模的。从理论上分析了实验结果,并有望用于体内早期乳腺癌的检测。该模型预测,在组织深度高达4 mm的情况下,UCNP辅助的癌症检测是可行的,显示出在诊断和图像引导手术应用中的巨大潜力。

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