title: Linkage of microRNA and proteome-based profiling data sets: a perspective for the priorization of candidate biomarkers in renal cell carcinoma?
abstract: Despite recent advances in the understanding of the biology of renal cell carcinoma (RCC) and the implementation of novel targeted therapies, the overall 5 years' survival rate for RCC patients remains disappointing. Late presentation, tumor heterogeneity and in particular the lack of molecular biomarkers for early detection and classification represent major obstacles. Global, untargeted comparative analysis of RCC vs tumor adjacent renal epithelium (NN) samples by high throughput analyses both at the transcriptome and proteome level have identified signatures, which might further clarify the molecular differences of RCC subtypes and might allow the identification of suitable therapeutic targets and diagnostic/prognostic biomarkers, but none thereof has yet been implemented in routine clinical use. The increasing knowledge regarding the functional role of noncoding microRNA (miR) in physiological, developmental, and pathophysiological processes by shaping the protein expression profile might provide an important link to improve the definition of disease-relevant regulatory networks. Taking into account that miR profiling of RCC and NN provides robust signatures discriminating between malignant and normal tissues, the concept of evaluating and scoring miR/protein pairs might represent a strategy for the selection and prioritization of potential biomarkers and their translation into practical use.
authors.affiliation: Martin-Luther-University Halle-Wittenberg, Institute of Medical Immunology, 06112 Halle (Saale), Germany. Barbara.Seliger@medizin.uni-halle.de
authors.forename: Barbara
authors.initials: B
authors.lastname: Seliger
authors.forename: Simon
authors.initials: S
authors.lastname: Jasinski
authors.forename: Sven P
authors.initials: SP
authors.lastname: Dressler
authors.forename: Francesco M
authors.initials: FM
authors.lastname: Marincola
authors.forename: Christian V
authors.initials: CV
authors.lastname: Recktenwald
authors.forename: Ena
authors.initials: E
authors.lastname: Wang
authors.forename: Rudolf
authors.initials: R
authors.lastname: Lichtenfels
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism; D002292:Carcinoma, Renal Cell / Q000235:genetics / Q000378:metabolism; D030541:Databases, Genetic; D006801:Humans; D007680:Kidney Neoplasms / Q000235:genetics / Q000378:metabolism; D035683:MicroRNAs / Q000235:genetics / Q000378:metabolism; D040901:Proteomics / Q000379:methods*
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs