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Identification of novel prostate cancer genes in patients stratified by Gleason classification: Role of antitumoral genes.
Díaz de la Guardia-Bolívar, Elisa; Barrios-Rodríguez, Rocío; Zwir, Igor; Jiménez-Moleón, José Juan; Del Val, Coral.
Afiliación
  • Díaz de la Guardia-Bolívar E; Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.
  • Barrios-Rodríguez R; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Zwir I; Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.
  • Jiménez-Moleón JJ; Departamento de Medicina Preventiva y Salud Pública, Universidad de Granada, Granada, Spain.
  • Del Val C; Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.
Int J Cancer ; 151(2): 255-264, 2022 07 15.
Article en En | MEDLINE | ID: mdl-35234293
ABSTRACT
Prostate cancer (PCa) is a tumor with a great heterogeneity, both at a molecular and clinical level. Despite its global good prognosis, cases can vary from indolent to lethal metastatic and scientific efforts are aimed to discern those with worse outcomes. Current prognostic markers, as Gleason score, fall short when it comes to distinguishing these cases. Identification of new early biomarkers to enable a better PCa distinction and classification remains a challenge. In order to identify new genes implicated in PCa progression we conducted several differential gene expression analyses over paired samples comparing primary PCa tissue against healthy prostatic tissue of PCa patients. The results obtained show that this approach is a serious alternative to overcome patient heterogeneity. We were able to identify 250 genes whose expression varies along with tissue differentiation-healthy to tumor tissue, 161 of these genes are described here for the first time to be related to PCa. The further manual curation of these genes allowed to annotate 39 genes with antitumoral activity, 22 of them described for the first time to be related to PCa proliferation and metastasis. These findings could be replicated in different cohorts for most genes. Results obtained considering paired differential expression, functional annotation and replication results point to CGREF1, UNC5A, C16orf74, LGR6, IGSF1, QPRT and CA14 as possible new early markers in PCa. These genes may prevent the progression of the disease and their expression should be studied in patients with different outcomes.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Biomarcadores de Tumor Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans / Male Idioma: En Revista: Int J Cancer Año: 2022 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Biomarcadores de Tumor Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans / Male Idioma: En Revista: Int J Cancer Año: 2022 Tipo del documento: Article País de afiliación: España