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Classification of pediatric acute lymphoblastic leukemia by gene expression profiling
Mary E Ross1, Xiaodong Zhou, Guangchun Song
1Department of Hematology-Oncology, St Jude Children's Research Hospital, 332 N. Lauderdale, Memphis, TN 38105, USA.
Blood
|May 6, 2003
Summary
Expression profiling of pediatric acute lymphoblastic leukemia (ALL) blasts accurately identifies subtypes. Novel gene markers improve diagnostic accuracy to 97%, paving the way for clinical trials.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Pediatric acute lymphoblastic leukemia (ALL) treatment relies on risk stratification.
- Expression profiling of leukemic blasts has shown promise in identifying known ALL prognostic subtypes.
Purpose of the Study:
- To develop expression profiling into a frontline diagnostic tool for pediatric ALL.
- To identify novel gene markers for improved ALL subtyping and biological insight.
Main Methods:
- Analysis of leukemic blasts from 132 diagnostic samples using high-density oligonucleotide arrays.
- Identification and validation of subtype-discriminating genes through expression profiling.
- Development of class-predicting algorithms incorporating newly identified genes.
Main Results:
- High-density arrays interrogated a majority of human genome genes.
- Nearly 60% of newly identified subtype-discriminating genes were novel markers.
- Class-predicting algorithms incorporating novel genes achieved 97% diagnostic accuracy.
Conclusions:
- Expression profiling with novel gene markers offers highly accurate subtyping of pediatric ALL.
- This methodology has the potential to become a frontline diagnostic tool.
- Further assessment in clinical trials is warranted to evaluate accuracy, practicality, and cost-effectiveness.