Computational modeling of early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) to identify personalized therapy using genomics

Ansu Kumar,Leylah M. Drusbosky,Amy Meacham,Madeleine Turcotte,Priyanka Bhargav,Sumanth Vasista,Shahabuddin Usmani,Anusha Pampana,Kabya Basu,Anuj Tyagi, Deepak Lala,Swaminathan Rajagopalan,Shivgonda C. Birajdar,Aftab Alam,Kunal Ghosh Roy,Taher Abbasi,Shireen Vali,Manju Sengar,Girish Chinnaswamy,Bijal D. Shah

Leukemia Research（2019）

引用 13|浏览47

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摘要

•Determine unique genomic characteristics of ETP-ALL using computational modeling.•Generated disease-specific protein network maps for ETP-ALL patients.•Genomics-based classification of ETP-ALL had sensitivity and specificity of 93% and 87%.•Computational simulation of 62 ETP-ALL patients identified 87 combination therapies.•Shortlisted combinations validated by in vitro chemosensitivity assays.

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关键词

ETP-ALL,GEO,CCND1,AKT,BIRC5,ETV6,LEF-1,JAK3j,NPM1,mTORC1,FOXM1,CEBPA,HIF1A,TET2,FLT3,CDKN2A,CDKN2B,TSC1

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