A signature microRNA to predict biomarker panel for early diagnosis of renal cell cancer

American Journal of BioMedicine  Volume 2, Issue 8, pages 914-927, August 2014


John H. Patel; David Günther; Xing Li; Fang Liu; Yi Zhang; Paritosh B. Pannala; Jeffrey A. Lubezky 

Abstract

Renal cancer is one of the most lethal human cancers and continues to be a major unsolved health problem. Conventional treatment approaches such as surgery, radiation, Immunotherapy, chemotherapy, or a combination thereof have had little impact on the course of this aggressive cancer and early cancer detection remains a major challenge in renal cancer but holds promise of resulting in a more favorable disease outcome. Circulating microRNAs (c-miRNAs) provide a new dimension as clinical biomarkers for disease diagnosis. In the current study we present a validated miRNA signature to predict biomarker panel for early diagnosis of renal cancer. The miRNA expression signature was profiled using custom miRNA microarray chips covering 8442human miRNAs derived from the miRBase database, version 16, released in 2010. These findings indicated that isolation and characterization of c-miRNAs may be a useful biomarker for prognosis, disease recurrence and early detection using cellular and molecular biology techniques from the circulation of renal cancer patients.

Keywords: Renal cell cancer; miRNA; Immunotherapy; Early diagnosis; Molecular biology


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