www.impactjournals.com/oncotarget/ Oncotarget, Vol. 6, No. 18 A six gene expression signature defines aggressive subtypes and predicts outcome in childhood and adult acute lymphoblastic leukemia Jin Wang1,2, Jian-Qing Mi1, Alexandra Debernardi2, Anne-Laure Vitte2, Anouk Emadali2, Julia A. Meyer3, Konstantina Charmpi4, Bernard Ycart4, Mary B. Callanan2, William L. Carroll3, Saadi Khochbin2 and Sophie Rousseaux2 1 State Key Laboratory for Medical Genomics and Department of Hematology, Shanghai Institute of Hematology, Collaborative Innovation Center of Systems Biomedicine, Pôle Sino-Français des Sciences du Vivant et Genomique, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China 2 INSERM, Université Grenoble Alpes, Institut Albert Bonniot, Grenoble, France 3 NYU Cancer Institute, NYU Langone Medical Center, New York, USA 4 Laboratoire Jean Kuntzmann, CNRS, Grenoble, France Correspondence to: Sophie Rousseaux, email:
[email protected] Correspondence to: Saadi Khochbin, email:
[email protected] Correspondence to: Jian-Qing Mi, email:
[email protected] Keywords: cancer, personalized medicine, risk stratification, minimum residual disease, cancer stem cells Received: March 15, 2015 Accepted: April 22, 2015 Published: May 12, 2015 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Abnormal gene expression in cancer represents an under-explored source of cancer markers and therapeutic targets. In order to identify gene expression signatures associated with survival in acute lymphoblastic leukemia (ALL), a strategy was designed to search for aberrant gene activity, which consists of applying several filters to transcriptomic datasets from two pediatric ALL studies.