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Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for 81% of all cases of lung cancer and they are often fatal because 60% of the patients are diagnosed at an advanced stage. Besides the need for earlier diagnosis, there is a high need for additional effective therapies. In this work, we inves...

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Autores principales: Riccardo, Federica, Arigoni, Maddalena, Buson, Genny, Zago, Elisa, Iezzi, Manuela, Longo, Dario Livio, Carrara, Matteo, Fiore, Alessandra, Nuzzo, Simona, Bicciato, Silvio, Nanni, Patrizia, Landuzzi, Lorena, Cavallo, Federica, Calogero, Raffaele, Quaglino, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4083401/
https://www.ncbi.nlm.nih.gov/pubmed/25077564
http://dx.doi.org/10.1186/1471-2164-15-S3-S1
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author Riccardo, Federica
Arigoni, Maddalena
Buson, Genny
Zago, Elisa
Iezzi, Manuela
Longo, Dario Livio
Carrara, Matteo
Fiore, Alessandra
Nuzzo, Simona
Bicciato, Silvio
Nanni, Patrizia
Landuzzi, Lorena
Cavallo, Federica
Calogero, Raffaele
Quaglino, Elena
author_facet Riccardo, Federica
Arigoni, Maddalena
Buson, Genny
Zago, Elisa
Iezzi, Manuela
Longo, Dario Livio
Carrara, Matteo
Fiore, Alessandra
Nuzzo, Simona
Bicciato, Silvio
Nanni, Patrizia
Landuzzi, Lorena
Cavallo, Federica
Calogero, Raffaele
Quaglino, Elena
author_sort Riccardo, Federica
collection PubMed
description BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for 81% of all cases of lung cancer and they are often fatal because 60% of the patients are diagnosed at an advanced stage. Besides the need for earlier diagnosis, there is a high need for additional effective therapies. In this work, we investigated the feasibility of a lung cancer progression mouse model, mimicking features of human aggressive NSCLC, as biological reservoir for potential therapeutic targets and biomarkers. RESULTS: We performed RNA-seq profiling on total RNA extracted from lungs of a 30 week-old K-ras(LA1)/p53(R172HΔg )and wild type (WT) mice to detect fusion genes and gene/exon-level differential expression associated to the increase of tumor mass. Fusion events were not detected in K-ras(LA1)/p53(R172HΔg )tumors. Differential expression at exon-level detected 33 genes with differential exon usage. Among them nine, i.e. those secreted or expressed on the plasma membrane, were used for a meta-analysis of more than 500 NSCLC RNA-seq transcriptomes. None of the genes showed a significant correlation between exon-level expression and disease prognosis. Differential expression at gene-level allowed the identification of 1513 genes with a significant increase in expression associated to tumor mass increase. 74 genes, i.e. those secreted or expressed on the plasma membrane, were used for a meta-analysis of two transcriptomics datasets of human NSCLC samples, encompassing more than 900 samples. SPP1 was the only molecule whose over-expression resulted statistically related to poor outcome regarding both survival and metastasis formation. Two other molecules showed over-expression associated to poor outcome due to metastasis formation: GM-CSF and ADORA3. GM-CSF is a secreted protein, and we confirmed its expression in the supernatant of a cell line derived by a K-ras(LA1)/p53(R172HΔg )mouse tumor. ADORA3 is instead involved in the induction of p53-mediated apoptosis in lung cancer cell lines. Since in our model p53 is inactivated, ADORA3 does not negatively affect tumor growth but remains expressed on tumor cells. Thus, it could represent an interesting target for the development of antibody-targeted therapy on a subset of NSCLC, which are p53 null and ADORA3 positive. CONCLUSIONS: Our study provided a complete transcription overview of the K-ras(LA1)/p53(R172HΔg )mouse NSCLC model. This approach allowed the detection of ADORA3 as a potential target for antibody-based therapy in p53 mutated tumors.
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spelling pubmed-40834012014-07-18 Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers Riccardo, Federica Arigoni, Maddalena Buson, Genny Zago, Elisa Iezzi, Manuela Longo, Dario Livio Carrara, Matteo Fiore, Alessandra Nuzzo, Simona Bicciato, Silvio Nanni, Patrizia Landuzzi, Lorena Cavallo, Federica Calogero, Raffaele Quaglino, Elena BMC Genomics Research BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for 81% of all cases of lung cancer and they are often fatal because 60% of the patients are diagnosed at an advanced stage. Besides the need for earlier diagnosis, there is a high need for additional effective therapies. In this work, we investigated the feasibility of a lung cancer progression mouse model, mimicking features of human aggressive NSCLC, as biological reservoir for potential therapeutic targets and biomarkers. RESULTS: We performed RNA-seq profiling on total RNA extracted from lungs of a 30 week-old K-ras(LA1)/p53(R172HΔg )and wild type (WT) mice to detect fusion genes and gene/exon-level differential expression associated to the increase of tumor mass. Fusion events were not detected in K-ras(LA1)/p53(R172HΔg )tumors. Differential expression at exon-level detected 33 genes with differential exon usage. Among them nine, i.e. those secreted or expressed on the plasma membrane, were used for a meta-analysis of more than 500 NSCLC RNA-seq transcriptomes. None of the genes showed a significant correlation between exon-level expression and disease prognosis. Differential expression at gene-level allowed the identification of 1513 genes with a significant increase in expression associated to tumor mass increase. 74 genes, i.e. those secreted or expressed on the plasma membrane, were used for a meta-analysis of two transcriptomics datasets of human NSCLC samples, encompassing more than 900 samples. SPP1 was the only molecule whose over-expression resulted statistically related to poor outcome regarding both survival and metastasis formation. Two other molecules showed over-expression associated to poor outcome due to metastasis formation: GM-CSF and ADORA3. GM-CSF is a secreted protein, and we confirmed its expression in the supernatant of a cell line derived by a K-ras(LA1)/p53(R172HΔg )mouse tumor. ADORA3 is instead involved in the induction of p53-mediated apoptosis in lung cancer cell lines. Since in our model p53 is inactivated, ADORA3 does not negatively affect tumor growth but remains expressed on tumor cells. Thus, it could represent an interesting target for the development of antibody-targeted therapy on a subset of NSCLC, which are p53 null and ADORA3 positive. CONCLUSIONS: Our study provided a complete transcription overview of the K-ras(LA1)/p53(R172HΔg )mouse NSCLC model. This approach allowed the detection of ADORA3 as a potential target for antibody-based therapy in p53 mutated tumors. BioMed Central 2014-05-06 /pmc/articles/PMC4083401/ /pubmed/25077564 http://dx.doi.org/10.1186/1471-2164-15-S3-S1 Text en Copyright © 2014 Riccardo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Riccardo, Federica
Arigoni, Maddalena
Buson, Genny
Zago, Elisa
Iezzi, Manuela
Longo, Dario Livio
Carrara, Matteo
Fiore, Alessandra
Nuzzo, Simona
Bicciato, Silvio
Nanni, Patrizia
Landuzzi, Lorena
Cavallo, Federica
Calogero, Raffaele
Quaglino, Elena
Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers
title Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers
title_full Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers
title_fullStr Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers
title_full_unstemmed Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers
title_short Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers
title_sort characterization of a genetic mouse model of lung cancer: a promise to identify non-small cell lung cancer therapeutic targets and biomarkers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4083401/
https://www.ncbi.nlm.nih.gov/pubmed/25077564
http://dx.doi.org/10.1186/1471-2164-15-S3-S1
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