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BioMed Research International
Volume 2014, Article ID 423174, 10 pages
http://dx.doi.org/10.1155/2014/423174
Research Article

Identification of a 20-Gene Expression-Based Risk Score as a Predictor of Clinical Outcome in Chronic Lymphocytic Leukemia Patients

1INSERM, U1040, F-34197, Institute of Research in Biotherapy, CHU Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier Cedex, France
2CHU Montpellier, Institute of Research in Biotherapy, Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier, France
3Université Montpellier 1, UFR Médecine, Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier, France
4Institut de Biologie Computationnelle, Université Montpellier 2, 2 Place Eugène Bataillon, 34095 Montpellier Cedex 5, France

Received 26 September 2013; Revised 18 March 2014; Accepted 20 March 2014; Published 5 May 2014

Academic Editor: Carlo Visco

Copyright © 2014 Elias Bou Samra et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary Figure S1: Association between the GE-based risk score and chromosomal abnormalities in CLL patients.

Supplementary Figure S2: Top gene sets significantly associated with high GEP-based risk score.

Supplementary Figure S3: Top gene set significantly associated with low GEP-based risk score.

Supplementary TABLE S1: Genes set enrichment analysis revealed a significant overrepresentation of the gene set FAELT_B_CLL_WITH_VH_REARRANGEMENTS_DN in high risk CLL patients compared to low risk patients (P=0.001)

Supplementary TABLE S2: Genes set enrichment analysis revealed a significant overrepresentation of the gene set BILBAN_B_CLL_LPL_UP in high risk CLL patients compared to low risk patients (P=0.001).

Supplementary TABLE S3: Genes set enrichment analysis revealed a significant overrepresentation of the gene set PID_CXCR4_PATHWAY in low risk CLL patients compared to high risk patients (P=0.004).

Supplementary TABLE S4: Genes set enrichment analysis revealed a significant overrepresentation of the gene set KEGG_CHEMOKINE_SIGNALING_PATHWAY in low risk CLL patients compared to high risk patients (P=0.04).

  1. Supplementary Material