Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling
[EN]Identification of biomarkers associated with the prognosis of different cancer subtypes is critical to achieve better therapeutic assistance. In colorectal cancer (CRC) the discovery of stable and consistent survival markers remains a challenge due to the high heterogeneity of this class of tumo...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/146462 |
| Acceso en línea: | http://hdl.handle.net/10366/146462 |
| Access Level: | acceso abierto |
| Palabra clave: | Cancer Colorectal cancer Colon Survival Kaplan-Meier analysis Gene marker Bioinformatics Transcriptomics Gene Expression Kaplan-Meier Estimate Colorectal Neoplasms 3201.01 Oncología estimación de Kaplan-Meier colon neoplasias colorrectales síntomas de cáncer |
| Sumario: | [EN]Identification of biomarkers associated with the prognosis of different cancer subtypes is critical to achieve better therapeutic assistance. In colorectal cancer (CRC) the discovery of stable and consistent survival markers remains a challenge due to the high heterogeneity of this class of tumors.We built an integrated dataset with 1273 human colorectal samples, which provides a homogeneous robust framework to analyse genome-wide expression and survival data. Using this dataset we identified two sets of genes that are candidate prognostic markers for CRC in stages III and IV, showing either up-regulation correlated with poor prognosis or up-regulation correlated with good prognosis.Finally, the set of top 100 genes that showed overexpression correlated with low survival was used to build a CRC risk predictor applying a multivariate Cox proportional hazards regression analysis. |
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