Bioinformática aplicada na identificação de genes de câncer/testículo e sua associação com prognóstico em uma análise pan-câncer
Cancer/testis (CT) genes are excellent candidates for cancer immunotherapies because of their restrict expression in normal tissues and the capacity to elicit an immune response when expressed in tumor cells. In this study, we provide a genome-wide screen for CT genes with the identification of 7...
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| Formato: | doctoralThesis |
| Idioma: | pt_BR |
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Brasil
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/28490 |
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| Resumo: | Cancer/testis (CT) genes are excellent candidates for cancer immunotherapies because of their
restrict expression in normal tissues and the capacity to elicit an immune response when
expressed in tumor cells. In this study, we provide a genome-wide screen for CT genes with
the identification of 745 putative CT genes. Comparison with a set of known CT genes shows
that 201 new CT genes were identified. Integration of gene expression and clinical data led us
to identify dozens of CT genes associated with either good or poor prognosis. For the CT genes
related to good prognosis, we show that there is a direct relationship between CT gene
expression and a signal for CD8+ cells infiltration for some tumor types, especially melanoma.
In addition, we contextualized bioinformatics in a big data scenario. |
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