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Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study

BACKGROUND: No liquid biomarkers are approved in renal cell carcinoma (RCC), making early detection of recurrence in surgically treated nonmetastatic (M0) patients dependent on radiological imaging. Urine- and plasma free glycosaminoglycan profiles—or free GAGomes—are promising biomarkers reflective...

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Autores principales: Gatto, Francesco, Dabestani, Saeed, Bratulic, Sinisa, Limeta, Angelo, Maccari, Francesca, Galeotti, Fabio, Volpi, Nicola, Stierner, Ulrika, Nielsen, Jens, Lundstam, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334826/
https://www.ncbi.nlm.nih.gov/pubmed/35911082
http://dx.doi.org/10.1016/j.euros.2022.06.003
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author Gatto, Francesco
Dabestani, Saeed
Bratulic, Sinisa
Limeta, Angelo
Maccari, Francesca
Galeotti, Fabio
Volpi, Nicola
Stierner, Ulrika
Nielsen, Jens
Lundstam, Sven
author_facet Gatto, Francesco
Dabestani, Saeed
Bratulic, Sinisa
Limeta, Angelo
Maccari, Francesca
Galeotti, Fabio
Volpi, Nicola
Stierner, Ulrika
Nielsen, Jens
Lundstam, Sven
author_sort Gatto, Francesco
collection PubMed
description BACKGROUND: No liquid biomarkers are approved in renal cell carcinoma (RCC), making early detection of recurrence in surgically treated nonmetastatic (M0) patients dependent on radiological imaging. Urine- and plasma free glycosaminoglycan profiles—or free GAGomes—are promising biomarkers reflective of RCC metabolism. OBJECTIVE: To explore whether free GAGomes could detect M0 RCC recurrence noninvasively. DESIGN, SETTING, AND PARTICIPANTS: Between June 2016 and February 2021, we enrolled a prospective consecutive series of patients elected for (1) partial or radical nephrectomy for clinical M0 RCC (cohort 1) or (2) first-line therapy following RCC metachronous metastatic recurrence (cohort 2) at Sahlgrenska University Hospital, Gothenburg, Sweden. The study population included M0 RCC patients with recurrent disease (RD) versus no evidence of disease (NED) in at least one follow-up visit. Plasma and urine free GAGomes—consisting of 40 chondroitin sulfate (CS), heparan sulfate, and hyaluronic acid (HA) features—were measured in a blinded central laboratory preoperatively and at each postoperative follow-up visit until recurrence or end of follow-up in cohort 1, or before treatment start in cohort 2. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We used Bayesian logistic regression to correlate GAGome features with RD versus NED and with various histopathological variables. We developed three recurrence scores (plasma, urine, and combined) proportional to the predicted probability of RD. We internally validated the area under the curve (AUC) using bootstrap resampling. We performed a decision curve analysis to select a cutoff and report the corresponding net benefit, sensitivity, and specificity of each score. We used univariable analyses to correlate each preoperative score with recurrence-free survival (RFS). RESULTS AND LIMITATIONS: Of 127 enrolled patients in total, 62 M0 RCC patients were in the study population (median age: 63 year, 35% female, and 82% clear cell). The median follow-up time was 3 months, totaling 72 postoperative visits —17 RD and 55 NED cases. RD was compatible with alterations in 14 (52%) of the detectable GAGome features, mostly free CS. Eleven (79%) of these correlated with at least one histopathological variable. We developed a plasma, a urine, and a combined free CS RCC recurrence score to diagnose RD versus NED with AUCs 0.91, 0.93, and 0.94, respectively. At a cutoff equivalent to ≥30% predicted probability of RD, the sensitivity and specificity were, respectively, 69% and 84% in plasma, 81% and 80% in urine, and 80% and 82% when combined, and the net benefit was equivalent to finding an extra ten, 13, and 12 cases of RD per hundred patients without any unnecessary imaging for plasma, urine, and combined, respectively. The combined score was prognostic of RFS in univariable analysis (hazard ratio = 1.90, p = 0.02). Limitations include a lack of external validation. CONCLUSIONS: Free CS scores detected postsurgical recurrence noninvasively in M0 RCC with substantial net benefit. External validity is required before wider clinical implementation. PATIENT SUMMARY: In this study, we examined a new noninvasive blood and urine test to detect whether renal cell carcinoma recurred after surgery.
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spelling pubmed-93348262022-07-30 Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study Gatto, Francesco Dabestani, Saeed Bratulic, Sinisa Limeta, Angelo Maccari, Francesca Galeotti, Fabio Volpi, Nicola Stierner, Ulrika Nielsen, Jens Lundstam, Sven Eur Urol Open Sci Kidney Cancer BACKGROUND: No liquid biomarkers are approved in renal cell carcinoma (RCC), making early detection of recurrence in surgically treated nonmetastatic (M0) patients dependent on radiological imaging. Urine- and plasma free glycosaminoglycan profiles—or free GAGomes—are promising biomarkers reflective of RCC metabolism. OBJECTIVE: To explore whether free GAGomes could detect M0 RCC recurrence noninvasively. DESIGN, SETTING, AND PARTICIPANTS: Between June 2016 and February 2021, we enrolled a prospective consecutive series of patients elected for (1) partial or radical nephrectomy for clinical M0 RCC (cohort 1) or (2) first-line therapy following RCC metachronous metastatic recurrence (cohort 2) at Sahlgrenska University Hospital, Gothenburg, Sweden. The study population included M0 RCC patients with recurrent disease (RD) versus no evidence of disease (NED) in at least one follow-up visit. Plasma and urine free GAGomes—consisting of 40 chondroitin sulfate (CS), heparan sulfate, and hyaluronic acid (HA) features—were measured in a blinded central laboratory preoperatively and at each postoperative follow-up visit until recurrence or end of follow-up in cohort 1, or before treatment start in cohort 2. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We used Bayesian logistic regression to correlate GAGome features with RD versus NED and with various histopathological variables. We developed three recurrence scores (plasma, urine, and combined) proportional to the predicted probability of RD. We internally validated the area under the curve (AUC) using bootstrap resampling. We performed a decision curve analysis to select a cutoff and report the corresponding net benefit, sensitivity, and specificity of each score. We used univariable analyses to correlate each preoperative score with recurrence-free survival (RFS). RESULTS AND LIMITATIONS: Of 127 enrolled patients in total, 62 M0 RCC patients were in the study population (median age: 63 year, 35% female, and 82% clear cell). The median follow-up time was 3 months, totaling 72 postoperative visits —17 RD and 55 NED cases. RD was compatible with alterations in 14 (52%) of the detectable GAGome features, mostly free CS. Eleven (79%) of these correlated with at least one histopathological variable. We developed a plasma, a urine, and a combined free CS RCC recurrence score to diagnose RD versus NED with AUCs 0.91, 0.93, and 0.94, respectively. At a cutoff equivalent to ≥30% predicted probability of RD, the sensitivity and specificity were, respectively, 69% and 84% in plasma, 81% and 80% in urine, and 80% and 82% when combined, and the net benefit was equivalent to finding an extra ten, 13, and 12 cases of RD per hundred patients without any unnecessary imaging for plasma, urine, and combined, respectively. The combined score was prognostic of RFS in univariable analysis (hazard ratio = 1.90, p = 0.02). Limitations include a lack of external validation. CONCLUSIONS: Free CS scores detected postsurgical recurrence noninvasively in M0 RCC with substantial net benefit. External validity is required before wider clinical implementation. PATIENT SUMMARY: In this study, we examined a new noninvasive blood and urine test to detect whether renal cell carcinoma recurred after surgery. Elsevier 2022-06-29 /pmc/articles/PMC9334826/ /pubmed/35911082 http://dx.doi.org/10.1016/j.euros.2022.06.003 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Kidney Cancer
Gatto, Francesco
Dabestani, Saeed
Bratulic, Sinisa
Limeta, Angelo
Maccari, Francesca
Galeotti, Fabio
Volpi, Nicola
Stierner, Ulrika
Nielsen, Jens
Lundstam, Sven
Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study
title Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study
title_full Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study
title_fullStr Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study
title_full_unstemmed Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study
title_short Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study
title_sort plasma and urine free glycosaminoglycans as monitoring biomarkers in nonmetastatic renal cell carcinoma—a prospective cohort study
topic Kidney Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334826/
https://www.ncbi.nlm.nih.gov/pubmed/35911082
http://dx.doi.org/10.1016/j.euros.2022.06.003
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