Gene expression profiles that segregate patients with childhood acute lymphoblastic leukaemia: an independent validation study identifies that endoglin associates with patient outcome.
In this report, we determine whether genes identified in a previously reported cDNA microarray investigation of childhood acute lymphoblastic leukaemia (ALL) diagnostic bone marrow have the same distinguishing power in an independently derived cDNA microarray dataset from an equivalent but distinct patient cohort. Genes previously reported as discriminatory, generally were unable to distinguish ALL lymphocyte lineages, the presence of the Tel-AML1 translocation and patient risk stratification. An artificial neural network identified endoglin, which was reported in the initial study as a potential lineage marker, was actually better at identifying ALL patients with poor outcome.
Catchpoole
Daniel
D
The Tumour Bank, The Oncology Research Unit, The Children's Hospital at Westmead, Locked Bag 4001, Westmead, NSW 2145, Australia. danielc@chw.edu.au
Lail
Andy
A
Guo
Dachuan
D
Chen
Qing-Rong
QR
Khan
Javed
J
D015703:Antigens, CD / Q000032:analysis* / Q000235:genetics; D019070:Cell Lineage; D000071063:Endoglin; D020869:Gene Expression Profiling; D006801:Humans; D008214:Lymphocytes / Q000473:pathology; D016571:Neural Networks, Computer; D020411:Oligonucleotide Array Sequence Analysis; D054198:Precursor Cell Lymphoblastic Leukemia-Lymphoma / Q000175:diagnosis* / Q000235:genetics; D011956:Receptors, Cell Surface / Q000032:analysis* / Q000235:genetics; D016896:Treatment Outcome
D015703:Antigens, CD; C064206:ENG protein, human; D000071063:Endoglin; D011956:Receptors, Cell Surface