Literature DB >> 24890767

The urinary proteome and peptidome of renal cell carcinoma patients: a comparison of different techniques.

Francesca Raimondo1, Samuele Corbetta, Clizia Chinello, Marina Pitto, Fulvio Magni.   

Abstract

Renal cell carcinomas, originating from the renal cortex, account for about 80% of kidney primary malignancies. Small localized tumors rarely produce symptoms and diagnosis is often delayed until the disease is advanced. In contrast to other urological cancers, renal cell carcinomas are associated with a high degree of metastases and a low 5-year survival rate. The identification of diagnostic and prognostic markers, especially in the urine, remains an area of intense investigation. Different proteomic strategies have been applied so far to biomarker discovery in urine at the proteome or the peptidome level. Gel-based and gel-free strategies combined with mass spectrometry are the most-used strategies, have different success rates, and will be depicted here. We also prefigure a scenario in which the limitations of a single approach are overcome by applying new and complementary research strategies, relying on the excellent availability coupled to the intrinsic richness typical of urine samples.

Entities:  

Keywords:  biomarker; exosomes; peptidome; proteomics; renal cell carcinoma; urine

Mesh:

Substances:

Year:  2014        PMID: 24890767     DOI: 10.1586/14789450.2014.926222

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  4 in total

Review 1.  Current state of the art for enhancing urine biomarker discovery.

Authors:  Michael Harpole; Justin Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2016-06       Impact factor: 3.940

2.  Tumor size, stage and grade alterations of urinary peptidome in RCC.

Authors:  Clizia Chinello; Marta Cazzaniga; Gabriele De Sio; Andrew James Smith; Angelica Grasso; Bernardo Rocco; Stefano Signorini; Marco Grasso; Silvano Bosari; Italo Zoppis; Giancarlo Mauri; Fulvio Magni
Journal:  J Transl Med       Date:  2015-10-20       Impact factor: 5.531

3.  Comparative proteomic profiling identifies potential prognostic factors for human clear cell renal cell carcinoma.

Authors:  Xiang Sun; Hongwei Zhang; Longhua Luo; Kezhao Zhong; Yushui Ma; Linlin Fan; Da Fu; Lijuan Wan
Journal:  Oncol Rep       Date:  2016-10-11       Impact factor: 3.906

Review 4.  Proteomics for Biomarker Discovery for Diagnosis and Prognosis of Kidney Transplantation Rejection.

Authors:  Luís M Ramalhete; Rúben Araújo; Aníbal Ferreira; Cecília R C Calado
Journal:  Proteomes       Date:  2022-07-02
  4 in total

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