Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma

Introduction: Optimal patient selection plays a vital role in management of renal tumors with the introduction of nephron-sparing approaches and active surveillance. A reliable and accurate diagnostic biomarker will be a useful adjunct to decision-making. We studied the diagnostic accuracy of urinar...

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Main Authors: Abhilash Cheriyan, Arun Jose Nellickal, Nirmal Thampi John, Lakshmanan Jeyaseelan, Santosh Kumar, Antony Devasia, Nitin Kekre
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Indian Journal of Urology
Online Access:http://www.indianjurol.com/article.asp?issn=0970-1591;year=2021;volume=37;issue=1;spage=59;epage=64;aulast=Cheriyan
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author Abhilash Cheriyan
Arun Jose Nellickal
Nirmal Thampi John
Lakshmanan Jeyaseelan
Santosh Kumar
Antony Devasia
Nitin Kekre
author_facet Abhilash Cheriyan
Arun Jose Nellickal
Nirmal Thampi John
Lakshmanan Jeyaseelan
Santosh Kumar
Antony Devasia
Nitin Kekre
author_sort Abhilash Cheriyan
collection DOAJ
description Introduction: Optimal patient selection plays a vital role in management of renal tumors with the introduction of nephron-sparing approaches and active surveillance. A reliable and accurate diagnostic biomarker will be a useful adjunct to decision-making. We studied the diagnostic accuracy of urinary aquaporin-1 (uAQP-1), an upcoming urinary biomarker, for renal cell carcinoma. Materials and Methods: In this prospective biomarker study, urine samples were obtained preoperatively from 36 patients with an imaged renal mass suggestive of RCC and 24 healthy age-matched controls, chosen from among voluntary kidney donors. uAQP-1 concentrations were estimated with a sensitive and specific enzyme-linked immunosorbent assay (ELISA) and normalized by estimation of urinary creatinine. The Mann–Whitney U-test was used to compare differences between any two groups. A receiver operator characteristic (ROC) curve was plotted to analyze the diagnostic accuracy of uAQP-1 for RCC. Results: The median uAQP-1 concentration among the cases and controls was 8.78 ng/mg creatinine (interquartile range [IQR]: 5.56–12.67) and 9.52 ng/mg creatinine (IQR: 5.55–12.45), respectively. There was no significant difference in uAQP-1 concentrations between the two groups. ROC analysis showed that, for a cutoff value of 8 ng/mg creatinine, the sensitivity and specificity of uAQP-1 as a diagnostic test were 47.2% and 66.7%, respectively, and area under the curve was 0.52 (95% confidence interval: 0.42–0.62). Conclusions: uAQP-1 concentrations did not discriminate between healthy individuals and patients with RCC. The results of this study suggest that uAQP-1 may not be a suitable diagnostic biomarker for RCC in the study population.
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spelling doaj.art-6592637be6d14ab784887024d651e72f2022-12-21T18:19:34ZengWolters Kluwer Medknow PublicationsIndian Journal of Urology0970-15911998-38242021-01-01371596410.4103/iju.IJU_330_20Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinomaAbhilash CheriyanArun Jose NellickalNirmal Thampi JohnLakshmanan JeyaseelanSantosh KumarAntony DevasiaNitin KekreIntroduction: Optimal patient selection plays a vital role in management of renal tumors with the introduction of nephron-sparing approaches and active surveillance. A reliable and accurate diagnostic biomarker will be a useful adjunct to decision-making. We studied the diagnostic accuracy of urinary aquaporin-1 (uAQP-1), an upcoming urinary biomarker, for renal cell carcinoma. Materials and Methods: In this prospective biomarker study, urine samples were obtained preoperatively from 36 patients with an imaged renal mass suggestive of RCC and 24 healthy age-matched controls, chosen from among voluntary kidney donors. uAQP-1 concentrations were estimated with a sensitive and specific enzyme-linked immunosorbent assay (ELISA) and normalized by estimation of urinary creatinine. The Mann–Whitney U-test was used to compare differences between any two groups. A receiver operator characteristic (ROC) curve was plotted to analyze the diagnostic accuracy of uAQP-1 for RCC. Results: The median uAQP-1 concentration among the cases and controls was 8.78 ng/mg creatinine (interquartile range [IQR]: 5.56–12.67) and 9.52 ng/mg creatinine (IQR: 5.55–12.45), respectively. There was no significant difference in uAQP-1 concentrations between the two groups. ROC analysis showed that, for a cutoff value of 8 ng/mg creatinine, the sensitivity and specificity of uAQP-1 as a diagnostic test were 47.2% and 66.7%, respectively, and area under the curve was 0.52 (95% confidence interval: 0.42–0.62). Conclusions: uAQP-1 concentrations did not discriminate between healthy individuals and patients with RCC. The results of this study suggest that uAQP-1 may not be a suitable diagnostic biomarker for RCC in the study population.http://www.indianjurol.com/article.asp?issn=0970-1591;year=2021;volume=37;issue=1;spage=59;epage=64;aulast=Cheriyan
spellingShingle Abhilash Cheriyan
Arun Jose Nellickal
Nirmal Thampi John
Lakshmanan Jeyaseelan
Santosh Kumar
Antony Devasia
Nitin Kekre
Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma
Indian Journal of Urology
title Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma
title_full Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma
title_fullStr Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma
title_full_unstemmed Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma
title_short Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma
title_sort diagnostic accuracy of urinary aquaporin 1 as a biomarker for renal cell carcinoma
url http://www.indianjurol.com/article.asp?issn=0970-1591;year=2021;volume=37;issue=1;spage=59;epage=64;aulast=Cheriyan
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