Network-guided modeling allows tumor-type independent prediction of sensitivity to all-trans-retinoic acid-Reference-Cited by-同舟云学术

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

Published:2017-03 Issue:3 Volume:28 Page:611-621
ISSN:0923-7534
Container-title:Annals of Oncology
language:en
Short-container-title:Annals of Oncology

Author:

Bolis M.,Garattini E.,Paroni G.,Zanetti A.,Kurosaki M.,Castrignanò T.,Garattini S.K.,Biancardi F.,Barzago M.M.,Gianni’ M.,Terao M.,Pattini L.,Fratelli M.

Funder

National Institutes of Health

Associazione Italiana per la Ricerca contro il Cancro

Publisher

Elsevier BV

Subject

Oncology,Hematology

Link

http://academic.oup.com/annonc/article-pdf/28/3/611/11203389/mdw660.pdf

Reference13 articles.

1. Retinoids and breast cancer: from basic studies to the clinic and back again;Garattini;Cancer Treat Rev,2014

2. Retinoic acid and arsenic trioxide for acute promyelocytic leukemia;Lo-Coco;N Engl J Med,2013

3. Cytodifferentiation by retinoids, a novel therapeutic option in oncology: rational combinations with other therapeutic agents;Garattini;Vitam Horm,2007

4. Cellular and molecular determinants of all-trans retinoic acid sensitivity in breast cancer: Luminal phenotype and RARalpha expression;Centritto;EMBO Mol Med,2015

5. Synergistic antitumor activity of lapatinib and retinoids on a novel subtype of breast cancer with coamplification of ERBB2 and RARA;Paroni;Oncogene,2012

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