Discovery and validation of urinary biomarkers for detection of renal cell carcinoma

Maria Frantzi; Jochen Metzger; Rosamonde E Banks; Holger Husi; Julie Klein; Mohammed Dakna; William Mullen; Jonathan J Cartledge; Joost P Schanstra; Korbinian Brand; Markus A Kuczyk; Harald Mischak; Antonia Vlahou; Dan Theodorescu; Axel S Merseburger

doi:10.1016/j.jprot.2013.12.010

Discovery and validation of urinary biomarkers for detection of renal cell carcinoma

Maria Frantzi, Jochen Metzger, Rosamonde E Banks, Holger Husi, Julie Klein, Mohammed Dakna, William Mullen, Jonathan J Cartledge, Joost P Schanstra, Korbinian Brand, Markus A Kuczyk, Harald Mischak, Antonia Vlahou, Dan Theodorescu, Axel S Merseburger

Division of Biomedical Sciences

Research output: Contribution to journal › Article › peer-review

59 Citations (Scopus)

Abstract

Clear cell renal cell carcinoma (RCC) has the highest incidence among the renal malignancies, often presenting non-specific or no symptoms at all. Moreover, with no diagnostic marker being available so far, almost 30% of the patients are diagnosed with metastatic disease and 30-40% of the patients initially diagnosed with localized tumor relapse. These facts introduce the clinical need of early diagnosis. This study is focused on the investigation of a marker model based on urinary peptides, as a tool for the detection of RCC in selected patients at risk. Upon evaluation of the marker model in an independent blinded set of 76 samples, 80% sensitivity and 87% specificity were reported. An additional dataset of 1077 samples was subsequently employed for further evaluation of the specificity of the classifier.

Original language	English
Pages (from-to)	44-58
Number of pages	15
Journal	Journal of Proteomics
Volume	98C
DOIs	https://doi.org/10.1016/j.jprot.2013.12.010
Publication status	Published - 1 Feb 2014

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Frantzi, M., Metzger, J., Banks, R. E., Husi, H., Klein, J., Dakna, M., Mullen, W., Cartledge, J. J., Schanstra, J. P., Brand, K., Kuczyk, M. A., Mischak, H., Vlahou, A., Theodorescu, D., & Merseburger, A. S. (2014). Discovery and validation of urinary biomarkers for detection of renal cell carcinoma. Journal of Proteomics, 98C, 44-58. https://doi.org/10.1016/j.jprot.2013.12.010

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title = "Discovery and validation of urinary biomarkers for detection of renal cell carcinoma",

abstract = "Clear cell renal cell carcinoma (RCC) has the highest incidence among the renal malignancies, often presenting non-specific or no symptoms at all. Moreover, with no diagnostic marker being available so far, almost 30% of the patients are diagnosed with metastatic disease and 30-40% of the patients initially diagnosed with localized tumor relapse. These facts introduce the clinical need of early diagnosis. This study is focused on the investigation of a marker model based on urinary peptides, as a tool for the detection of RCC in selected patients at risk. Upon evaluation of the marker model in an independent blinded set of 76 samples, 80% sensitivity and 87% specificity were reported. An additional dataset of 1077 samples was subsequently employed for further evaluation of the specificity of the classifier.",

author = "Maria Frantzi and Jochen Metzger and Banks, {Rosamonde E} and Holger Husi and Julie Klein and Mohammed Dakna and William Mullen and Cartledge, {Jonathan J} and Schanstra, {Joost P} and Korbinian Brand and Kuczyk, {Markus A} and Harald Mischak and Antonia Vlahou and Dan Theodorescu and Merseburger, {Axel S}",

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doi = "10.1016/j.jprot.2013.12.010",

language = "English",

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TY - JOUR

T1 - Discovery and validation of urinary biomarkers for detection of renal cell carcinoma

AU - Frantzi, Maria

AU - Metzger, Jochen

AU - Banks, Rosamonde E

AU - Husi, Holger

AU - Klein, Julie

AU - Dakna, Mohammed

AU - Mullen, William

AU - Cartledge, Jonathan J

AU - Schanstra, Joost P

AU - Brand, Korbinian

AU - Kuczyk, Markus A

AU - Mischak, Harald

AU - Vlahou, Antonia

AU - Theodorescu, Dan

AU - Merseburger, Axel S

PY - 2014/2/1

Y1 - 2014/2/1

N2 - Clear cell renal cell carcinoma (RCC) has the highest incidence among the renal malignancies, often presenting non-specific or no symptoms at all. Moreover, with no diagnostic marker being available so far, almost 30% of the patients are diagnosed with metastatic disease and 30-40% of the patients initially diagnosed with localized tumor relapse. These facts introduce the clinical need of early diagnosis. This study is focused on the investigation of a marker model based on urinary peptides, as a tool for the detection of RCC in selected patients at risk. Upon evaluation of the marker model in an independent blinded set of 76 samples, 80% sensitivity and 87% specificity were reported. An additional dataset of 1077 samples was subsequently employed for further evaluation of the specificity of the classifier.

AB - Clear cell renal cell carcinoma (RCC) has the highest incidence among the renal malignancies, often presenting non-specific or no symptoms at all. Moreover, with no diagnostic marker being available so far, almost 30% of the patients are diagnosed with metastatic disease and 30-40% of the patients initially diagnosed with localized tumor relapse. These facts introduce the clinical need of early diagnosis. This study is focused on the investigation of a marker model based on urinary peptides, as a tool for the detection of RCC in selected patients at risk. Upon evaluation of the marker model in an independent blinded set of 76 samples, 80% sensitivity and 87% specificity were reported. An additional dataset of 1077 samples was subsequently employed for further evaluation of the specificity of the classifier.

U2 - 10.1016/j.jprot.2013.12.010

DO - 10.1016/j.jprot.2013.12.010

M3 - Article

SN - 1615-9853

VL - 98C

SP - 44

EP - 58

JO - Journal of Proteomics

JF - Journal of Proteomics

ER -

Discovery and validation of urinary biomarkers for detection of renal cell carcinoma

Abstract

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