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A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection
Microsystems & Nanoengineering ( IF 7.9 ) Pub Date : 2021-03-05 , DOI: 10.1038/s41378-021-00243-4
Valerio F Annese 1 , Samadhan B Patil 1 , Chunxiao Hu 1 , Christos Giagkoulovits 1 , Mohammed A Al-Rawhani 1 , James Grant 1 , Martin Macleod 2 , David J Clayton 3 , Liam M Heaney 4 , Ronan Daly 5 , Claudio Accarino 1 , Yash D Shah 1 , Boon C Cheah 1 , James Beeley 1 , Thomas R Jeffry Evans 6 , Robert Jones 6 , Michael P Barrett 5, 7 , David R S Cumming 1
Affiliation  

There is a global unmet need for rapid and cost-effective prognostic and diagnostic tools that can be used at the bedside or in the doctor’s office to reduce the impact of serious disease. Many cancers are diagnosed late, leading to costly treatment and reduced life expectancy. With prostate cancer, the absence of a reliable test has inhibited the adoption of screening programs. We report a microelectronic point-of-care metabolite biomarker measurement platform and use it for prostate cancer detection. The platform, using an array of photodetectors configured to operate with targeted, multiplexed, colorimetric assays confined in monolithically integrated passive microfluidic channels, completes a combined assay of 4 metabolites in a drop of human plasma in under 2 min. A preliminary clinical study using l-amino acids, glutamate, choline, and sarcosine was used to train a cross-validated random forest algorithm. The system demonstrated sensitivity to prostate cancer of 94% with a specificity of 70% and an area under the curve of 0.78. The technology can implement many similar assay panels and hence has the potential to revolutionize low-cost, rapid, point-of-care testing.



中文翻译:

用于代谢组前列腺癌检测的整体单芯片即时护理平台

全球对快速且具有成本效益的预后和诊断工具的需求尚未得到满足,这些工具可以在床边或医生办公室使用,以减少严重疾病的影响。许多癌症诊断较晚,导致治疗费用昂贵并缩短预期寿命。对于前列腺癌,缺乏可靠的测试阻碍了筛查计划的采用。我们报告了一种微电子护理点代谢物生物标志物测量平台,并将其用于前列腺癌检测。该平台使用一系列光电探测器,配置为在单片集成被动微流体通道中进行靶向、多重比色测定,可在 2 分钟内完成对一滴人血浆中 4 种代谢物的组合测定。使用L-氨基酸、谷氨酸、胆碱和肌氨酸进行的初步临床研究用于训练交叉验证的随机森林算法。该系统对前列腺癌的敏感性为 94%,特异性为 70%,曲线下面积为 0.78。该技术可以实现许多类似的检测组,因此有可能彻底改变低成本、快速的即时检测。

更新日期:2021-03-05
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