E-TABM-255 - Transcription profiling of bone marrow from children with T-cell acute lymphoblastic leukamia comparing those who remained in continuous complete remission with those that relapsed

Released on 4 April 2008, last updated on 26 October 2015
Homo sapiens
Samples (12)
Array (1)
Protocols (6)
We compared the gene expression profile from a group of children with T-cell acute lymphoblastic leukamia who remained in continuous complete remission (CCR) (n = 7) with that from a group who relapsed (n = 5), using Affymetrix HG-U133A arrays. Using the decision-tree based supervised learning algorithm Random Forest (RF), genes were ranked with respect to their ability to discriminate between patients who remained in CCR and those who relapsed. From the 300 top-ranked probe sets 9 genes were selected for further investigation and validation in an independent cohort of 25 T-ALL patients using quantitative real time polymerase chain reaction.
Experiment types
transcription profiling by array, clinical history, co-expression, disease state
Identification of novel molecular prognostic markers for paediatric T-cell acute lymphoblastic leukaemia. Gottardo NG, Hoffmann K, Beesley AH, Freitas JR, Firth MJ, Perera KU, de Klerk NH, Baker DL, Kees UR. , PMID:17456054
Investigation descriptionE-TABM-255.idf.txt
Sample and data relationshipE-TABM-255.sdrf.txt
Raw data (1)E-TABM-255.raw.1.zip
Processed data (1)E-TABM-255.processed.1.zip
Array designA-AFFY-33.adf.txt