Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma

  • Juan Yang
  • , Jin Yang
  • , Yan Gao
  • , Lingyu Zhao
  • , Liying Liu
  • , Yannan Qin
  • , Xiaofei Wang
  • , Tusheng Song
  • , Chen Huang

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Objective: To investigate discriminating protein patterns and serum biomarkers between clear cell renal cell carcinoma (ccRCC) patients and healthy controls, as well as between paired pre- and post-operative ccRCC patients. Methods: We used magnetic bead-based separation followed by matrix-assisted laser desorption ionization (MALDI) timeof- flight (TOF) mass spectrometry (MS) to identify patients with ccRCC. A total of 162 serum samples were analyzed in this study, among which there were 58 serum samples from ccRCC patients, 40 from additional paired pre- and post-operative ccRCC patients (n = 20), and 64 from healthy volunteers as healthy controls. ClinProTools software identified several distinct markers between ccRCC patients and healthy controls, as well as between pre- and post-operative patients. Results: Patients with ccRCC could be identified with a mean sensitivity of 88.38% and a mean specificity of 91.67%. Of 67 m/z peaks that differed among the ccRCC, healthy controls, pre- and post-operative ccRCC patients, 24 were significantly different (P,0.05). Three candidate peaks, which were upregulated in ccRCC group and showed a tendency to return to healthy control values after surgery, were identified as peptide regions of RNA-binding protein 6 (RBP6), tubulin beta chain (TUBB), and zinc finger protein 3 (ZFP3) with the m/z values of 1466.98, 1618.22, and 5905.23, respectively. Conclusion: MB-MALDI-TOF-MS method could generate serum peptidome profiles of ccRCC, and provide a new approach to identify potential biomarkers for diagnosis as well as prognosis of this malignancy.

Original languageEnglish
Article numbere111364
JournalPLoS ONE
Volume9
Issue number11
DOIs
StatePublished - Nov 2014

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