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Tissue-based molecular markers in upper tract urothelial carcinoma and their prognostic implications

Overview of attention for article published in International Brazilian Journal of Urology, February 2018
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Title
Tissue-based molecular markers in upper tract urothelial carcinoma and their prognostic implications
Published in
International Brazilian Journal of Urology, February 2018
DOI 10.1590/s1677-5538.ibju.2017.0204
Pubmed ID
Authors

Ricardo L. Favaretto, Stênio C. Zequi, Renato A. R. Oliveira, Thiago Santana, Walter H. Costa, Isabela W. Cunha, Gustavo C. Guimarães

Abstract

Upper tract urothelial carcinoma (UTUC) is a rare and aggressive disease that is associated with high rates of recurrence and death. Radical nephroureterectomy (RNU) with excision of the bladder cuff is considered the standard of care for high-risk UTUC, whereas kidney-sparing techniques can be indicated for select patients with low-risk disease. There is a significant lack of clinical and pathological prognostic factors for stratifying patients with regard to making treatment decisions. Incorporation of tissue-based molecular markers into prognostic tools could help accurately stratify patients for clinical decision-making in this heterogeneous disease. Although the number of studies on tissue-based markers in UTUC has risen dramatically in the past several years-many of which are based on single centers and small cohorts, with a low level of evidence-many discrepancies remain between their results. Nevertheless, certain biomarkers are promising tools, necessitating prospective multi-institution studies to validate their function.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 16%
Other 3 12%
Lecturer 2 8%
Professor 2 8%
Librarian 1 4%
Other 3 12%
Unknown 10 40%
Readers by discipline Count As %
Medicine and Dentistry 7 28%
Biochemistry, Genetics and Molecular Biology 2 8%
Nursing and Health Professions 1 4%
Energy 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 8%
Unknown 11 44%