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Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression
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 mechani...
Autores principales: | Cooley, Lindsay S., Rudewicz, Justine, Souleyreau, Wilfried, Emanuelli, Andrea, Alvarez-Arenas, Arturo, Clarke, Kim, Falciani, Francesco, Dufies, Maeva, Lambrechts, Diether, Modave, Elodie, Chalopin-Fillot, Domitille, Pineau, Raphael, Ambrosetti, Damien, Bernhard, Jean-Christophe, Ravaud, Alain, Négrier, Sylvie, Ferrero, Jean-Marc, Pagès, Gilles, Benzekry, Sebastien, Nikolski, Macha, Bikfalvi, Andreas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527701/ https://www.ncbi.nlm.nih.gov/pubmed/34670568 http://dx.doi.org/10.1186/s12943-021-01416-5 |
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