Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes

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-d...

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Published inPloS one Vol. 7; no. 8; p. e42494
Main Authors Dueñas, Marta, Santos, Mirentxu, Aranda, Juan F, Bielza, Concha, Martínez-Cruz, Ana B, Lorz, Corina, Taron, Miquel, Ciruelos, Eva M, Rodríguez-Peralto, José L, Martín, Miguel, Larrañaga, Pedro, Dahabreh, Jubrail, Stathopoulos, George P, Rosell, Rafael, Paramio, Jesús M, García-Escudero, Ramón
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 07.08.2012
Public Library of Science (PLoS)
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Abstract 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.
AbstractList 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.
Audience Academic
Author Santos, Mirentxu
Dueñas, Marta
García-Escudero, Ramón
Bielza, Concha
Martín, Miguel
Lorz, Corina
Martínez-Cruz, Ana B
Dahabreh, Jubrail
Aranda, Juan F
Stathopoulos, George P
Paramio, Jesús M
Rodríguez-Peralto, José L
Rosell, Rafael
Taron, Miquel
Ciruelos, Eva M
Larrañaga, Pedro
AuthorAffiliation 4 Medical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
3 Catalan Institute of Oncology, Hospital Germans Trias i Pujol, Badalona, Spain
6 Hospital General Gregorio Marañón, Universidad Complutense, Madrid, Spain
2 Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Boadilla del Monte, Madrid, Spain
7 Surgery Department, Athens Medical Center, Athens, Greece
1 Molecular Oncology Unit, CIEMAT, Madrid, Spain
8 Oncology Department, Errikos Dunant Hospital, Athens, Greece
Thomas Jefferson University, United States of America
5 Pathology Department, Hospital Universitario 12 de Octubre, and Instituto de Investigación Hospital 12 de Octubre i+12, Universidad Complutense, Madrid, Spain
AuthorAffiliation_xml – name: 3 Catalan Institute of Oncology, Hospital Germans Trias i Pujol, Badalona, Spain
– name: 7 Surgery Department, Athens Medical Center, Athens, Greece
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– name: 2 Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Boadilla del Monte, Madrid, Spain
– name: 5 Pathology Department, Hospital Universitario 12 de Octubre, and Instituto de Investigación Hospital 12 de Octubre i+12, Universidad Complutense, Madrid, Spain
– name: 4 Medical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
– name: 6 Hospital General Gregorio Marañón, Universidad Complutense, Madrid, Spain
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  surname: Dueñas
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Dueñas et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2012 Dueñas et al 2012 Dueñas et al
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Competing Interests: The authors have read the journal’s policy and have the following conflicts: R.G.-E., J.-M.P., A.B.M.-C., M.S., P.L. and C.B. hold two patents for the genomic tests described in this study. Patent 1: Inventors: R. García Escudero, A.B. Martínez Cruz, M. Santos Lafuente and J.M. Paramio, Title: Genomic fingerprint of breast cancer, Request N°: PCT/ES2009/07028, Priority country: Spain, Priority date: 01/july/2009, Organism: CIEMAT. 2. Inventors: R. García Escudero, J.M. Paramio, Pedro Larrañaga, and Concepción Bielza, Title: Predictor test of global survival in lung adenocarcinoma, Request N°: P201031626, Priority country: Spain, Priority date: 05/november/2010, Organism: CIEMAT and UPM. In relation with employment, consultancy, or products in development the authors declare no conflict of interest. The conflict of interest that the authors are declaring does not alter their adherence to all the PLoS ONE policies on sharing data and materials.
Conceived and designed the experiments: RGE MD JMP. Performed the experiments: RGE MD JFA JD GPS. Analyzed the data: RGE CB PL. Contributed reagents/materials/analysis tools: MS ABMC CL MT EMC JLRP MM RR JD GPS. Wrote the paper: RGE JMP.
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Snippet 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...
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SubjectTerms Adenocarcinoma
Adenocarcinoma - classification
Adenocarcinoma - genetics
Animal models
Animals
Biology
Biomarkers
Breast cancer
Breast Neoplasms - classification
Breast Neoplasms - genetics
Brosimum alicastrum alicastrum
Cancer
Cancer genetics
Cancer therapies
Clinical outcomes
Disease Models, Animal
Female
Gene expression
Gene Expression Profiling
Genes
Genes, Neoplasm - genetics
Genetic aspects
Genetic Engineering
Genome, Human - genetics
Genomes
Genomics
Humans
Lung cancer
Lung diseases
Lung Neoplasms - classification
Lung Neoplasms - genetics
Mathematical models
Mathematics
Medical prognosis
Medicine
Metastasis
Mice
Mice, Transgenic
Multivariate Analysis
Mutation
Mutation - genetics
Oncology
Organs
p53 Protein
Patient outcomes
Proportional Hazards Models
Reproducibility of Results
Skin
Skin - metabolism
Skin - pathology
Skin cancer
Skin carcinoma
Stem cells
Survival Analysis
Transgenes
Transgenic mice
Treatment Outcome
Tumor proteins
Tumor Suppressor Protein p53 - antagonists & inhibitors
Tumor Suppressor Protein p53 - deficiency
Tumor Suppressor Protein p53 - metabolism
Tumors
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Title Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes
URI https://www.ncbi.nlm.nih.gov/pubmed/22880004
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