Network-guided modeling allows tumor-type independent prediction of sensitivity to all-trans-retinoic acid

Bolis, M; Garattini, E; Paroni, G; Zanetti, A; Kurosaki, M; Castrignanò, Tiziana; Garattini, S K; Biancardi, F; Barzago, M M; Gianni', M; Terao, M; Pattini, L; Fratelli, M

doi:10.1093/annonc/mdw660

Network-guided modeling allows tumor-type independent prediction of sensitivity to all-trans-retinoic acid

Author(s)

Bolis, M

Garattini, E

Paroni, G

Zanetti, A

Kurosaki, M

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Date Issued

2017

Type

article

Volume

28

Issue

3

Start Page

611

End Page

621

DOI

10.1093/annonc/mdw660

Journal

ANNALS OF ONCOLOGY

Abstract

All-trans-retinoic acid (ATRA) is a differentiating agent used in the treatment of acute-promyelocytic-leukemia (APL) and it is under-exploited in other malignancies despite its low systemic toxicity. A rational/personalized use of ATRA requires the development of predictive tools allowing identification of sensitive cancer types and responsive individuals.

Handle

http://hdl.handle.net/2067/51770