Leveraging artificial intelligence to predict ERG gene fusion status in prostate cancer

BACKGROUND: TMPRSS2-ERG gene rearrangement, the most common E26 transformation specific (ETS) gene fusion within prostate cancer, is known to contribute to the pathogenesis of this disease and carries diagnostic annotations for prostate cancer patients clinically. The ERG rearrangement status in pro...

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Detalles Bibliográficos
Autores principales: Dadhania, Vipulkumar, Gonzalez, Daniel, Yousif, Mustafa, Cheng, Jerome, Morgan, Todd M., Spratt, Daniel E., Reichert, Zachery R., Mannan, Rahul, Wang, Xiaoming, Chinnaiyan, Anya, Cao, Xuhong, Dhanasekaran, Saravana M., Chinnaiyan, Arul M., Pantanowitz, Liron, Mehra, Rohit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069768/
https://www.ncbi.nlm.nih.gov/pubmed/35513774
http://dx.doi.org/10.1186/s12885-022-09559-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069768/
https://www.ncbi.nlm.nih.gov/pubmed/35513774
http://dx.doi.org/10.1186/s12885-022-09559-4

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