Identification of Genes Associated with Testicular Cancer Aggressiveness
Introduction: Testicular germ cell tumors represent approximately 97% of testicular cancers. Histologically, they are classified into seminomas and non-seminomas, having diagnostic and prognostic applicability. Therapeutic success depends on early diagnosis associated with correct staging, the evalu...
| Autores: | , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Recursos: | Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA) |
| Repositorio: | Revista Brasileira de Cancerologia (Online) |
| Idioma: | portugués inglés español |
| OAI Identifier: | oai:rbc.inca.gov.br:article/4553 |
| Acesso em linha: | https://rbc.inca.gov.br/index.php/revista/article/view/4553 |
| Access Level: | acceso abierto |
| Palavra-chave: | Neoplasias Testiculares Células Germinativas Biologia Computacional/estatística & dados numéricos Prognóstico Testicular Neoplasms Prognosis, TCGA Neoplasias Testiculares, PronósticoTCGA. |
| Resumo: | Introduction: Testicular germ cell tumors represent approximately 97% of testicular cancers. Histologically, they are classified into seminomas and non-seminomas, having diagnostic and prognostic applicability. Therapeutic success depends on early diagnosis associated with correct staging, the evaluation of biomarkers is important for the correct management of this disease. Objective: To identify genes that may be correlated with prognosis and survival in testicular cancer. Method: Bioinformatics analysis was performed using 137 testicular cancer samples from The Cancer Genome Atlas and 165 normal testicular tissue samples from The Genotype-Tissue Expression. Gene identification and subsequent analyzes were performed using GEPIA2. Results: Initially, in relation to gene expression, the 500 genes most significantly associated with overall survival from testicular cancer and the 500 with disease-free survival were evaluated. These two lists were then superimposed and a Venn diagram was constructed showing the 13 genes in common. Of these, only the protein-coding genes were kept, investigating which ones differed significantly from normal tissue in relation to gene expression. Only ATP10A, SAMD14 and PCAL4 showed a statistically significant difference, all of which were under-expressed in testicular cancer. The joint analysis of these genes was even more significant for overall and disease-free survival. Conclusion: Three genes were identified in the analysis in silico which demonstrated significative association of the expression with survival and prognosis of patients with testicular cancer. |
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