Novel algorithmic approach predicts tumor mutation load and correlates with immunotherapy clinical outcomes using a defined gene mutation set

BACKGROUND: While clinical outcomes following immunotherapy have shown an association with tumor mutation load using whole exome sequencing (WES), its clinical applicability is currently limited by cost and bioinformatics requirements. METHODS: We developed a method to accurately derive the predicte...

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Detalles Bibliográficos
Autores principales: Roszik, Jason, Haydu, Lauren E., Hess, Kenneth R., Oba, Junna, Joon, Aron Y., Siroy, Alan E., Karpinets, Tatiana V., Stingo, Francesco C., Baladandayuthapani, Veera, Tetzlaff, Michael T., Wargo, Jennifer A., Chen, Ken, Forget, Marie-Andrée, Haymaker, Cara L., Chen, Jie Qing, Meric-Bernstam, Funda, Eterovic, Agda K., Shaw, Kenna R., Mills, Gordon B., Gershenwald, Jeffrey E., Radvanyi, Laszlo G., Hwu, Patrick, Futreal, P. Andrew, Gibbons, Don L., Lazar, Alexander J., Bernatchez, Chantale, Davies, Michael A., Woodman, Scott E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078889/
https://www.ncbi.nlm.nih.gov/pubmed/27776519
http://dx.doi.org/10.1186/s12916-016-0705-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078889/
https://www.ncbi.nlm.nih.gov/pubmed/27776519
http://dx.doi.org/10.1186/s12916-016-0705-4

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