Your browser doesn't support javascript.
loading
Genetics and biology of prostate cancer.
Wang, Guocan; Zhao, Di; Spring, Denise J; DePinho, Ronald A.
Afiliación
  • Wang G; Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • Zhao D; Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • Spring DJ; Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
  • DePinho RA; Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Genes Dev ; 32(17-18): 1105-1140, 2018 09 01.
Article en En | MEDLINE | ID: mdl-30181359
ABSTRACT
Despite the high long-term survival in localized prostate cancer, metastatic prostate cancer remains largely incurable even after intensive multimodal therapy. The lethality of advanced disease is driven by the lack of therapeutic regimens capable of generating durable responses in the setting of extreme tumor heterogeneity on the genetic and cell biological levels. Here, we review available prostate cancer model systems, the prostate cancer genome atlas, cellular and functional heterogeneity in the tumor microenvironment, tumor-intrinsic and tumor-extrinsic mechanisms underlying therapeutic resistance, and technological advances focused on disease detection and management. These advances, along with an improved understanding of the adaptive responses to conventional cancer therapies, anti-androgen therapy, and immunotherapy, are catalyzing development of more effective therapeutic strategies for advanced disease. In particular, knowledge of the heterotypic interactions between and coevolution of cancer and host cells in the tumor microenvironment has illuminated novel therapeutic combinations with a strong potential for more durable therapeutic responses and eventual cures for advanced disease. Improved disease management will also benefit from artificial intelligence-based expert decision support systems for proper standard of care, prognostic determinant biomarkers to minimize overtreatment of localized disease, and new standards of care accelerated by next-generation adaptive clinical trials.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Animals / Humans / Male Idioma: En Revista: Genes Dev Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Animals / Humans / Male Idioma: En Revista: Genes Dev Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos