Linkage of microRNA and proteome-based profiling data sets

A perspective for the priorization of candidate biomarkers in renal cell carcinoma?

Barbara Seliger, Simon Jasinski, Sven P. Dressler, Francesco M. Marincola, Christian V. Recktenwald, Ena Wang, Rudolf Lichtenfels

Research output: Contribution to journalReview article

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)191-199
Number of pages9
JournalJournal of Proteome Research
Volume10
Issue number1
DOIs
Publication statusPublished - 7 Jan 2011
Externally publishedYes

Fingerprint

Biomarkers
Proteome
MicroRNAs
Renal Cell Carcinoma
Cells
Tumors
Proteins
Throughput
Tissue
Transcriptome
Neoplasms
Survival Rate
Epithelium
Datasets
Kidney
Therapeutics

Keywords

  • Biomarker
  • miR
  • Proteomics
  • RCC

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

Cite this

Linkage of microRNA and proteome-based profiling data sets : A perspective for the priorization of candidate biomarkers in renal cell carcinoma? / Seliger, Barbara; Jasinski, Simon; Dressler, Sven P.; Marincola, Francesco M.; Recktenwald, Christian V.; Wang, Ena; Lichtenfels, Rudolf.

In: Journal of Proteome Research, Vol. 10, No. 1, 07.01.2011, p. 191-199.

Research output: Contribution to journalReview article

Seliger, Barbara ; Jasinski, Simon ; Dressler, Sven P. ; Marincola, Francesco M. ; Recktenwald, Christian V. ; Wang, Ena ; Lichtenfels, Rudolf. / Linkage of microRNA and proteome-based profiling data sets : A perspective for the priorization of candidate biomarkers in renal cell carcinoma?. In: Journal of Proteome Research. 2011 ; Vol. 10, No. 1. pp. 191-199.
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