Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes
Año:2012
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Mutations in the TP53 gene are very common in human cancers, and are associated with poor clinical outcome. Transgenic mouse models lacking the Trp53 gene or that express mutant Trp53 transgenes produce tumours with malignant features in many organs. We previously showed the transcriptome of a p53-deficient mouse skin carcinoma model to be similar to those of human cancers with TP53 mutations and associated with poor clinical outcomes. This report shows that much of the 682-gene signature of this murine skin carcinoma transcriptome is also present in breast and lung cancer mouse models in which p53 is inhibited. Further, we report validated gene-expression-based tests for predicting the clinical outcome of human breast and lung adenocarcinoma. It was found that human patients with cancer could be stratified based on the similarity of their transcriptome with the mouse skin carcinoma 682-gene signature. The results also provide new targets for the treatment of p53-defective tumours.
Internacional
Si
JCR del ISI
Si
Título de la revista
Plos One
ISSN
1932-6203
Factor de impacto JCR
4,092
Información de impacto
Volumen
7
DOI
Número de revista
8
Desde la página
e42494
Hasta la página
e42494
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Marta Dueñas (Molecular Oncology Unit, CIEMAT)
  • Autor: Mirentxu Santos (Molecular Oncology Unit, CIEMAT)
  • Autor: Juan F. Aranda (Molecular Oncology Unit, CIEMAT)
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Autor: Ana B. Martínez-Cruz (Molecular Oncology Unit, CIEMAT)
  • Autor: Corina Lorz (Molecular Oncology Unit, CIEMAT)
  • Autor: Miquel Taron (Catalan Institute of Oncology, Hospital Germans Trias i Pujol)
  • Autor: Eva M. Ciruelos (Medical Oncology Department, Hospital Universitario 12 de Octubre)
  • Autor: José L. Rodríguez-Peralto (Pathology Department, Hospital Universitario 12 de Octubre, and Instituto de Investigacion Hospital 12 de Octubre i+12)
  • Autor: Miguel Martín (Hospital General Gregorio Marañón, Universidad Complutense, Madrid)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
  • Autor: Jubrail Dahabreh (Surgery Department, Athens Medical Center)
  • Autor: George P. Stathopoulos (Oncology Department, Errikos Dunant Hospital, Athens)
  • Autor: Rafael Rosell (Catalan Institute of Oncology, Hospital Germans Trias i Pujol)
  • Autor: Jesús M. Paramio (Molecular Oncology Unit, CIEMAT)
  • Autor: Ramón García-Escudero (Molecular Oncology Unit, CIEMAT)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Departamento: Inteligencia Artificial
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