Identification of novel prostate cancer genes in patients stratified by Gleason classification: Role of antitumoral genes
Metadatos
Afficher la notice complèteAuteur
Díaz de la Guardia Bolívar, Elisa; Barrios Rodríguez, Rocío; Zwir Nawrocki, Jorge Sergio Igor; Jiménez Moleón, José Juan; Val Muñoz, María Coral DelEditorial
John Wiley & Sons
Materia
Antitumoral genes Biomarkers Prostate cancer
Date
2022-03-02Referencia bibliográfica
Díaz de la Guardia-Bolívar, E... [et al.]. Identification of novel prostate cancer genes in patients stratified by Gleason classification: Role of antitumoral genes. Int. J. Cancer. 2022; 1- 10. doi:[10.1002/ijc.33988]
Patrocinador
Spanish Government PRE2019-089807 PI15/00914 RTI2018-098983-B-100; Universidad de Granada/CBUARésumé
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.