NanoString expression profiling identifies candidate biomarkers of RAD001 response in metastatic gastric cancer

BACKGROUND: Gene expression profiling has contributed greatly to cancer research. However, expression-driven biomarker discovery in metastatic gastric cancer (mGC) remains unclear. A gene expression profile predicting RAD001 response in refractory GC was explored in this study. METHODS: Total RNA is...

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Detalles Bibliográficos
Autores principales: Das, Kakoli, Chan, Xiu Bin, Epstein, David, Teh, Bin Tean, Kim, Kyoung-Mee, Kim, Seung Tae, Park, Se Hoon, Kang, Won Ki, Rozen, Steve, Lee, Jeeyun, Tan, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070203/
https://www.ncbi.nlm.nih.gov/pubmed/27843583
http://dx.doi.org/10.1136/esmoopen-2015-000009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070203/
https://www.ncbi.nlm.nih.gov/pubmed/27843583
http://dx.doi.org/10.1136/esmoopen-2015-000009

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