DeLuna Frank, Cadena Melissa, Wang Bingzhi, Sun Lu-Zhe, Ye Jing Yong
Department of Biomedical Engineering, The University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX, 78249, USA.
Department of Cell Systems & Anatomy, The University of Texas Health at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229, USA.
Proc SPIE Int Soc Opt Eng. 2019 Feb;10881. doi: 10.1117/12.2507505. Epub 2019 Mar 4.
The current clinical standard for mass screening of prostate cancer are prostate-specific antigen (PSA) biomarker assays. Unfortunately, the low specificity of PSA's bioassays to prostate cancer leads to high false-positive rates, as such there is an urgent need for the development of a more specific detection system independent of PSA levels. In our previous research, we have successfully demonstrated, with the use of our Photonic-Crystal based biosensor in a Total-Internal-Reflection (PC-TIR) configuration, detection of prostate cancer (PC-3) cells against benign prostate hyperplasia (BPH-1) cells. The PC-TIR biosensor achieved detection of individual prostate cancer cells utilizing cellular refractive index (RI) as the only contrast parameter. To further study this methodology we report a comprehensive study of the cellular RI's of various prostate cancer and noncancerous cell lines (i.e. RWPE-1, BPH-1, PC-3, DU-145, and LNCaP) via reflectance spectroscopy and single-cell RI imaging utilizing the PC-TIR biosensor. Our study shows promising clinical potential in utilizing the PC-TIR biosensor system for the detection of prostate cancer against noncancerous prostate epithelial cells.
目前前列腺癌大规模筛查的临床标准是前列腺特异性抗原（PSA）生物标志物检测。不幸的是，PSA生物检测对前列腺癌的低特异性导致了高假阳性率，因此迫切需要开发一种独立于PSA水平的更特异性检测系统。在我们之前的研究中，我们已经成功地证明，使用基于光子晶体的全内反射（PC-TIR）配置生物传感器，可以检测前列腺癌细胞（PC-3）与良性前列腺增生（BPH-1）细胞。PC-TIR生物传感器利用细胞折射率（RI）作为唯一的对比参数实现了对单个前列腺癌细胞的检测。为了进一步研究这种方法，我们通过反射光谱和利用PC-TIR生物传感器的单细胞RI成像，对各种前列腺癌和非癌细胞系（即RWPE-1、BPH-1、PC-3、DU-145和LNCaP）的细胞RI进行了全面研究。我们的研究表明，利用PC-TIR生物传感器系统检测前列腺癌与非癌性前列腺上皮细胞具有广阔的临床应用潜力。
