Harnessing synthetic lethality to predict the response to cancer treatment

While synthetic lethality (SL) holds promise in developing effective cancer therapies, SL candidates found via experimental screens often have limited translational value. Here we present a data-driven approach, ISLE (identification of clinically relevant synthetic lethality), that mines TCGA cohort...

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Detalles Bibliográficos
Autores principales: Lee, Joo Sang, Das, Avinash, Jerby-Arnon, Livnat, Arafeh, Rand, Auslander, Noam, Davidson, Matthew, McGarry, Lynn, James, Daniel, Amzallag, Arnaud, Park, Seung Gu, Cheng, Kuoyuan, Robinson, Welles, Atias, Dikla, Stossel, Chani, Buzhor, Ella, Stein, Gidi, Waterfall, Joshua J., Meltzer, Paul S., Golan, Talia, Hannenhalli, Sridhar, Gottlieb, Eyal, Benes, Cyril H., Samuels, Yardena, Shanks, Emma, Ruppin, Eytan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6026173/
https://www.ncbi.nlm.nih.gov/pubmed/29959327
http://dx.doi.org/10.1038/s41467-018-04647-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6026173/
https://www.ncbi.nlm.nih.gov/pubmed/29959327
http://dx.doi.org/10.1038/s41467-018-04647-1

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