Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression

Abstract Background Renal Cell Carcinoma (RCC) is difficult to treat with 5-year survival rate of 10% in metastatic patients. Main reasons of therapy failure are lack of validated biomarkers and scarce knowledge of the biological processes occurring during RCC progression. Thus, the investigation of...

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Detalhes bibliográficos

Principais autores:	Lindsay S. Cooley, Justine Rudewicz, Wilfried Souleyreau, Andrea Emanuelli, Arturo Alvarez-Arenas, Kim Clarke, Francesco Falciani, Maeva Dufies, Diether Lambrechts, Elodie Modave, Domitille Chalopin-Fillot, Raphael Pineau, Damien Ambrosetti, Jean-Christophe Bernhard, Alain Ravaud, Sylvie Négrier, Jean-Marc Ferrero, Gilles Pagès, Sebastien Benzekry, Macha Nikolski, Andreas Bikfalvi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2021-10-01
coleção:	Molecular Cancer
Assuntos:	Metastasis Prognostic markers renal cell carcinoma Systems biology approach Tumor model SAA2 CFB
Acesso em linha:	https://doi.org/10.1186/s12943-021-01416-5
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