Identification of serum protein biomarkers for clear cell renal cell carcinoma using patient-derived xenografts
Dalin Zhang, Chun-Lung Chiu, Fernando Jose Garcia Marques, Abel Bermudez, Christian R. Hoerner, Nicholas Hadi, Elise Wang, Thomas J. Metzner, Ludimila Trabanino, John T. Leppert, Hongjuan Zhao, Robert Tibshirani, Alice C. Fan, Sharon J. Pitteri, James D. Brooks
Dalin Zhang, Chun-Lung Chiu, Fernando Jose Garcia Marques, Abel Bermudez, Christian R. Hoerner, Nicholas Hadi, Elise Wang, Thomas J. Metzner, Ludimila Trabanino, John T. Leppert, Hongjuan Zhao, Robert Tibshirani, Alice C. Fan, Sharon J. Pitteri, James D. Brooks
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Research Letter Nephrology Oncology

Identification of serum protein biomarkers for clear cell renal cell carcinoma using patient-derived xenografts

Abstract

Authors

Dalin Zhang, Chun-Lung Chiu, Fernando Jose Garcia Marques, Abel Bermudez, Christian R. Hoerner, Nicholas Hadi, Elise Wang, Thomas J. Metzner, Ludimila Trabanino, John T. Leppert, Hongjuan Zhao, Robert Tibshirani, Alice C. Fan, Sharon J. Pitteri, James D. Brooks

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Figure 1

Discovery and validation of serum protein biomarkers in ccRCC.

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Discovery and validation of serum protein biomarkers in ccRCC. (A) The e...
(A) The experimental workflow of our study. (B) Proteins with significantly higher levels in ccRCC PDX tissues compared with normal human kidney tissues. (C) Proteins detected in tumor-bearing mouse sera but not control sera. (D) Seven common proteins from B and C that are found in the Secretome database. (E) Validation of 7 candidate markers in sera from 34 non-ccRCC donors and 49 patients with ccRCC by ELISA. After Bonferroni adjustment for multiple comparisons, CUTA, MIF, and CTSD remain significant at P = 0.05. (F) AUCs of a linear-regression model based on levels of 6 candidate serum markers in distinguishing ccRCC from non-RCC. *P < 0.05; **P < 0.01; ***P < 0.001.