Detalle de: Cortactin (CTTN) overexpression in osteosarcoma correlates with advanced stage and reduced survival
| Title | Cortactin (CTTN) overexpression in osteosarcoma correlates with advanced stage and reduced survival |
| Abstract |
Background The cortactin (CTTN) gene has been found, by transcriptomic profiling, to be overexpressed in pediatric osteosarcoma. The location of CTTN at 11q13 and the role of cortactin in cytoskeleton restructuring make CTTN of interest as a potential biomarker for osteosarcoma. Materials and methods Osteoblasts were isolated from 20 high-grade osteosarcomas before chemotherapy, and paired with cell samples from normal tissue, prior to RNA expression analysis on HG-U133A chips (Affymetrix). Semiquantitative CTTN mRNA expression was analyzed by real-time PCR. An osteosarcoma tissue microarray (TMA) containing 233 tissue spots from 48 patients was used for an immunohistochemical (IHC) study of cortactin. Results Transcriptomic profiling and real-time PCR analysis indicated increased CTTN expression in osteosarcomas (p = 0.001, Student's T test). TMA IHC showed cortactin to be present more frequently and in greater abundance in osteosarcomas than non-tumoral osteoblastic samples (p Conclusions Our preliminary data support the hypothesis that over-expression of cortactin, contained in the 11q13 amplicon, is involved in osteosarcoma carcinogenesis. The potential of cortactin overexpression as a biomarker for osteosarcoma is consolidated. |
| Apa Reference | Folio, C., Zalacain, M., Zandueta, C., Ormazábal, C., Sierrasesúmaga, L., Julián, M. S., de las Rivas, J., Toledo, G., Lecanda, F., & Patiño-García, A. (2012). Cortactin (CTTN) overexpression in osteosarcoma correlates with advanced stage and reduced survival. Cancer Biomarkers, 10(1), 35–41. 10.3233/cbm-2012-0227 |
| Doi | 10.3233/CBM-2012-0227 |
| Publication Date | 21 Jan 2012 |
| Publication Type | Article |
| Researcher | Javier De Las Rivas |
| Ontology | Transcriptomics, Expression Profiling, Amplicon Sequencing |
| Research Groups | Bioinformatics and Functional Genomics |
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