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Paper Details

Identification of transcriptome signature for predicting clinical response to bevacizumab in recurrent glioblastoma.
Cancer Med
7
2018
Angiogenesis-related gene sets, COL4A2, GBM, GBMs, Glioblastomas, NAG, RAG, angiogenesis-associated gene sets, bevacizumab, brain tumors, endothelial growth factor, gene set, gene sets, glioblastomas, nonresponder angiogenesis gene set, patients, recurrent, recurrent glioblastoma, responder angiogenesis gene set, transcriptome signature
Author NameAffiliation
Seung Won ChoiSungkyunkwan University
Seung Won ChoiInstitute for Refractory Cancer Research, Samsung Medical Center
Hyemi ShinSungkyunkwan University
Hyemi ShinInstitute for Refractory Cancer Research, Samsung Medical Center
Jason K SaInstitute for Refractory Cancer Research, Samsung Medical Center
Jason K SaSamsung Medical Center, Sungkyunkwan University School of Medicine
Hee Jin ChoInstitute for Refractory Cancer Research, Samsung Medical Center
Hee Jin ChoSamsung Medical Center, Sungkyunkwan University School of Medicine
Harim KooSungkyunkwan University
Harim KooInstitute for Refractory Cancer Research, Samsung Medical Center
Doo-Sik KongSamsung Medical Center, Sungkyunkwan University School of Medicine
Doo-Sik KongSamsung Medical Center, Sungkyunkwan University School of Medicine
Ho Jun SeolSamsung Medical Center, Sungkyunkwan University School of Medicine
Ho Jun SeolSamsung Medical Center, Sungkyunkwan University School of Medicine
Do-Hyun NamSungkyunkwan University
Do-Hyun NamInstitute for Refractory Cancer Research, Samsung Medical Center
Do-Hyun NamSamsung Medical Center, Sungkyunkwan University School of Medicine
Do-Hyun NamSungkyunkwan University
Do-Hyun NamInstitute for Refractory Cancer Research, Samsung Medical Center
Do-Hyun NamSamsung Medical Center, Sungkyunkwan University School of Medicine
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