학술논문

Association of serum amyloid A protein and peptide fragments with prognosis in renal cancer.
Document Type
Journal Article
Source
British Journal of Cancer. 6/29/2010, Vol. 103 Issue 1, p101-111. 11p. 2 Charts, 4 Graphs.
Subject
*CANCER treatment
*RENAL cell carcinoma
*BIOMARKERS
*PROTEOMICS
*TIME-of-flight mass spectrometry
*AMYLOID
*IMMUNOASSAY
*ACUTE phase proteins
*COMPARATIVE studies
*KIDNEY tumors
*MASS spectrometry
*RESEARCH methodology
*MEDICAL cooperation
*PEPTIDES
*PROGNOSIS
*RESEARCH
*RESEARCH funding
*SURVIVAL
*EVALUATION research
Language
ISSN
0007-0920
Abstract
Background: In renal cell carcinoma (RCC), the discovery of biomarkers for clinical use is a priority. This study aimed to identify and validate diagnostic and prognostic serum markers using proteomic profiling.Methods: Pre-operative sera from 119 patients with clear cell RCC and 69 healthy controls was analysed by surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry with stringent in-house quality control and analysis routines. Following identification of one prognostic peak as a fragment of serum amyloid A (SAA), total serum SAA and CRP were also determined by immunoassay for further validation.Results: Several peptides were identified as having independent prognostic but not diagnostic significance on multivariable analysis. One was subsequently identified as a 1525 Da fragment of SAA (hazard ratio (HR)=0.26, 95% CI 0.08-0.85, P=0.026). This was weakly negatively correlated with total SAA, which was also of independent prognostic significance (HR=2.46, 95% CI 1.17-5.15, P=0.017). Both potentially strengthened prognostic models based solely on pre-operative variables.Conclusions: This is the first description of the prognostic value of this peptide in RCC and demonstrates proof of principle of the approach. The subsequent examination of SAA protein considerably extends previous studies, being the first study to focus solely on pre-operative samples and describing potential clinical utility in pre-operative prognostic models. [ABSTRACT FROM AUTHOR]