New biomarkers to predict the prognostic pattern of patients with conventional renal cell carcinoma

DOI: 10.22591/magyurol.2017.4.javorhazya.149

Authors:
Jávorházy András dr., Farkas László dr., Szántó Árpád dr., Kovács Gyula dr.
Pécsi Tudományegyetem, Urológiai Klinika, Pécs (igazgató: Szántó Árpád dr.)

Summary

Purpose: In spite of early detection of conventional renal cell carcinoma (RCC) by widespread use of abdominal imaging approximately 10-15% of patients will die due to disease. The aim of this study was to identify new biomarkers predicting the postoperative progression of conventional RCC.
Methods: Tissue multi arrays (TMA) of conventional RCC patients were analysed by immunohistochemistry for expression of the acute phase protein serum amyloid A1 (SAA1), the matrix metalloproteinase 12 (MMP12) and the transmembrane protein 27 (TMEM27) which were identified as candidate biomarkers formerly by global gene expression analysis (Affymetrix array). Univariate and multivariate Cox-regression models were addressed to assess cancer specific survival in association of protein expression. Cancer specific survival time was estimated with Kaplan-Meier analysis, the comparison of survival curves was made with the Log rank test.
Results: The Kaplan-Meier survival analysis indicated a poor disease specific survival rates for tumours with SAA1 and MMP12 staining. The lack of TMEM27 staining was also associated with poor disease specific survival rates. Cox-regression analysis revealed significant association of patient survival with SAA1, MMP12 and TMEM27 expression. All the three biomarkers proved to be independent prognostic factors in the cohort of patients without metastatic disease at the time of operation.
Conclusions: Our results suggest that SAA1, MMP12 and TMEM27 immunochemistry in localised conventional RCC is a promising method to define a group of patients at high risk for postoperative progression.

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