Can We Predict Prostate Cancer Metastasis Based on Biomarkers? Where Are We Now?

Primer Autor
San Francisco, Ignacio F.
Co-autores
Rojas, Pablo A.
Bravo, Juan C.
Diaz, Jorge
Ebel, Luis
Urrutia, Sebastian
Prieto, Benjamin
Cerda-Infante, Javier
Título
Can We Predict Prostate Cancer Metastasis Based on Biomarkers? Where Are We Now?
Editorial
MDPI
Revista
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Lenguaje
en
Resumen
The incidence of prostate cancer (PC) has risen annually. PC mortality is explained by the metastatic disease (mPC). There is an intermediate scenario in which patients have non-mPC but have initiated a metastatic cascade through epithelial-mesenchymal transition. There is indeed a need for more and better tools to predict which patients will progress in the future to non-localized clinical disease or already have micrometastatic disease and, therefore, will clinically progress after primary treatment. Biomarkers for the prediction of mPC are still under development, there are few studies and not much evidence of their usefulness. This review is focused on tissue-based genomic biomarkers (TBGB) for the prediction of metastatic disease. We develop four main research questions that we attempt to answer according to the current evidence. Why is it important to predict metastatic disease? Which tests are available to predict metastatic disease? What impact should there be on clinical guidelines and clinical practice in predicting metastatic disease? What are the current prostate cancer treatments? The importance of predicting metastasis is fundamental given that, once metastasis is diagnosed, quality of life (QoL) and survival drop dramatically. There is still a need and space for more cost-effective TBGB tests that predict mPC disease.
Fecha Publicación
2023
Tipo de Recurso
artículo de revisión
doi
10.3390/ijms241512508
Formato Recurso
PDF
Palabras Claves
prostate cancer
metastasis
tissue-based genomic biomarkers
Ubicación del archivo
Categoría OCDE
Bioquímica y biología molecular
Química
Materias
Cancer de prostata
metástasis
biomarcadores genómicos basados ??en tejidos
Identificador del recurso (Mandatado-único)
artículo de revisión
Versión del recurso (Recomendado-único)
versión publicada
License
CC BY 4.0
Condición de la licencia (Recomendado-repetible)
CC BY 4.0
Derechos de acceso
acceso abierto
Access Rights
acceso abierto
Id de Web of Science
WOS:001045530800001
ISSN
1661-6596
Tipo de ruta
verde# dorado
Categoría WOS
Bioquímica y biología molecular
Química
Referencia del Financiador (Mandatado si es aplicable-repetible)
CORFO 20IAT 130292
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