In silico and preclinical drug screening identifies dasatinib as a targeted therapy for T-ALL-Reference-Cited by-同舟云学术

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In silico and preclinical drug screening identifies dasatinib as a targeted therapy for T-ALL

Published:2017-09 Issue:9 Volume:7 Page:e604-e604
ISSN:2044-5385
Container-title:Blood Cancer Journal
language:en
Short-container-title:Blood Cancer J.

Author:

Laukkanen S,Grönroos T,Pölönen P,Kuusanmäki H,Mehtonen J,Cloos J,Ossenkoppele G,Gjertsen B,Øystein B,Heckman C,Heinäniemi M,Kontro M,Lohi O

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Hematology

Link

http://www.nature.com/articles/bcj201787.pdf

Reference17 articles.

1. Goldberg JM, Silverman LB, Levy DE, Dalton VK, Gelber RD, Lehmann L et al. Childhood T-cell acute lymphoblastic leukemia: the Dana-Farber Cancer Institute acute lymphoblastic leukemia consortium experience. J Clin Oncol 2003; 21: 3616–3622.

2. Liuksiala T, Teittinen KJ, Granberg K, Heinäniemi M, Annala M, Mäki M et al. Overexpression of SNORD114-3 marks acute promyelocytic leukemia. Leukemia 2014; 28: 233–236.

3. Heinäniemi M, Vuorenmaa T, Teppo S, Kaikkonen MU, Bouvy-Liivrand M, Mehtonen J et al. Transcription-coupled genetic instability marks acute lymphoblastic leukemia structural variation hotspots. eLife 2016; 5: e13087.

4. Yoo M, Shin J, Kim J, Ryall KA, Lee K, Lee S et al. DSigDB: drug signatures database for gene set analysis. Bioinformatics 2015; 31: 3069–3071.

5. Yadav B, Pemovska T, Szwajda A, Kulesskiy E, Kontro M, Karjalainen R et al. Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies. Sci Rep 2014; 4: 5193.

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