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Supplementary information files for A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection

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repository.lboro.ac.uk2023-05-30 更新2025-03-26 收录
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https://repository.lboro.ac.uk/articles/dataset/Supplementary_information_files_for_A_monolithic_single-chip_point-of-care_platform_for_metabolomic_prostate_cancer_detection/14178899/1
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Supplementary files for article A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection. 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.

本文补充文件为《单芯片点式护理代谢组前列腺癌检测平台》一文提供。全球范围内,对于可于病床旁或诊所使用的快速、经济高效的预后和诊断工具的需求尚未得到满足,此类工具可减轻严重疾病的影响。许多癌症因诊断过晚而导致治疗成本高昂及预期寿命缩短。对于前列腺癌而言,缺乏可靠的检测手段限制了筛查计划的采纳。本研究报告了一种微型电子点式护理代谢标志物测量平台,并利用该平台进行前列腺癌检测。该平台采用配置为与靶向、多联、比色法相结合的阵列式光电探测器,在单片集成无源微流控通道内完成对4种代谢物的联合检测,整个过程在2分钟内完成。通过使用L-氨基酸、谷氨酸、胆碱和丝氨酸进行初步临床研究,并利用交叉验证的随机森林算法进行训练。该系统对前列腺癌的检测灵敏度为94%,特异性为70%,曲线下面积为0.78。该技术可实施许多类似的检测面板,因而具有颠覆低成本、快速、点式检测的潜力。
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