New bladder cancer non-invasive surveillance method based on voltammetric electronic tongue measurement of urine

被引:1
作者
Monreal-Trigo, Javier [1 ,2 ,3 ]
Alcaniz, Miguel [1 ,3 ]
Carmen Martinez-Bisbal, M. [1 ,2 ,4 ,5 ,6 ]
Loras, Alba [5 ,7 ,8 ]
Pascual, Lluis [1 ]
Luis Ruiz-Cerda, Jose [5 ,8 ,9 ]
Ferrer, Alberto [10 ,11 ]
Martinez-Manez, Ramon [1 ,2 ,5 ,6 ,12 ]
机构
[1] Univ Valencia, Inst Interuniv Invest Reconocimiento Mol & Desarr, Univ Politecn Valencia, Camino Vera S-N, Valencia 46022, Spain
[2] Inst Salud Carlos III, CIBER Bioingn Biomat & Nanomed, Madrid, Spain
[3] Univ Politecn Valencia, Dept Elect, Camino Vera S-N, Valencia 46022, Spain
[4] Univ Valencia, Dept Quim Fis, C Doctor Moliner 50, Valencia 46100, Spain
[5] Univ Politecn Valencia, Inst Invest Sanitaria La Fe, Unidad Mixta Invest Nanomed & Sensores, Valencia 46026, Spain
[6] Univ Politecn Valencia, Ctr Invest Principe Felipe, Unidad Mixta UPV CIPF Invest Mecanismos Enfermeda, Valencia 46012, Spain
[7] Univ Jaume 1, Dept Med, Castellon de La Plana 12071, Spain
[8] Hosp Univ & Politecn La Fe, Dept Cirugia, Valencia 46026, Spain
[9] Hosp Univ & Politecn La Fe, Serv Urol, Valencia 46026, Spain
[10] Univ Politecn Valencia, Dept Estadist & Invest Operat Aplicadas & Calidad, Camino Vera S-N, Valencia 46022, Spain
[11] Univ Politecn Valencia, Grp Ingn Estadist Multivariante, Camino Vera S-N, Valencia 46022, Spain
[12] Univ Politecn Valencia, Dept Quirn, Camino Vera S-N, Valencia 46022, Spain
关键词
METABOLOMICS; IDENTIFICATION; EPIDEMIOLOGY; PERFORMANCE; VALIDATION; BIOMARKERS; MANAGEMENT; CARCINOMA; DIAGNOSIS; UPDATE;
D O I
10.1016/j.isci.2022.104829
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Bladder cancer (BC) is the sixth leading cause of death by cancer. Depending on the invasiveness of tumors, patients with BC will undergo surgery and surveillance lifelong, owing the high rate of recurrence and progression. In this context, the development of strategies to support non-invasive BC diagnosis is focusing attention. Voltammetric electronic tongue (VET) has been demonstrated to be of use in the analysis of biofluids. Here, we present the implementation of a VET to study 207 urines to discriminate BC and non-BC for diagnosis and surveillance to detect recurrences. Special attention has been paid to the experimental setup to improve reproducibility in the measurements. PLSDA analysis together with variable selection provided a model with high sensitivity, specificity, and area under the ROC curve AUC (0.844, 0.882, and 0.917, respectively). These results pave the way for the development of non-invasive low- cost and easy-touse strategies to support BC diagnosis and follow-up.
引用
收藏
页数:13
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