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Predicting response to BET inhibitors using computational modeling: A BEAT AML project study.
Drusbosky, Leylah M; Vidva, Robinson; Gera, Saji; Lakshminarayana, Anjanasree V; Shyamasundar, Vijayashree P; Agrawal, Ashish Kumar; Talawdekar, Anay; Abbasi, Taher; Vali, Shireen; Tognon, Cristina E; Kurtz, Stephen E; Tyner, Jeffrey W; McWeeney, Shannon K; Druker, Brian J; Cogle, Christopher R.
Affiliation
  • Drusbosky LM; Department of Medicine/Division of Hematology Oncology, University of Florida, Gainesville, FL, United States.
  • Vidva R; Cellworks Research India Pvt. Ltd, Bangalore, India.
  • Gera S; Cellworks Research India Pvt. Ltd, Bangalore, India.
  • Lakshminarayana AV; Cellworks Research India Pvt. Ltd, Bangalore, India.
  • Shyamasundar VP; Cellworks Research India Pvt. Ltd, Bangalore, India.
  • Agrawal AK; Cellworks Research India Pvt. Ltd, Bangalore, India.
  • Talawdekar A; Cellworks Research India Pvt. Ltd, Bangalore, India.
  • Abbasi T; Cellworks Group Inc., San Jose, CA, United States.
  • Vali S; Cellworks Group Inc., San Jose, CA, United States.
  • Tognon CE; Knight Cancer Institute, Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, OR, United States.
  • Kurtz SE; Knight Cancer Institute, Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, OR, United States.
  • Tyner JW; Knight Cancer Institute, Department of Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, United States.
  • McWeeney SK; Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, United States.
  • Druker BJ; Knight Cancer Institute, Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, OR, United States.
  • Cogle CR; Department of Medicine/Division of Hematology Oncology, University of Florida, Gainesville, FL, United States. Electronic address: Christopher.cogle@medicine.ufl.edu.
Leuk Res ; 77: 42-50, 2019 02.
Article in En | MEDLINE | ID: mdl-30642575
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Leukemia, Myeloid, Acute / Models, Molecular / Gene Expression Regulation, Neoplastic / Computational Biology / Molecular Targeted Therapy / Antineoplastic Agents Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Leuk Res Year: 2019 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Leukemia, Myeloid, Acute / Models, Molecular / Gene Expression Regulation, Neoplastic / Computational Biology / Molecular Targeted Therapy / Antineoplastic Agents Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Leuk Res Year: 2019 Document type: Article Affiliation country: United States Country of publication: United kingdom