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Molecular Analysis of Central Nervous System Disease Spectrum in Childhood Acute Lymphoblastic Leukemia
- Source :
- Clinical Medicine Insights. Oncology, Clinical Medicine Insights: Oncology, Vol 10 (2016), Clinical Medicine Insights: Oncology, Vol 2016, Iss 10, Pp 5-15 (2016)
- Publication Year :
- 2016
- Publisher :
- Libertas Academica, 2016.
-
Abstract
- Treatment of the central nervous system (CNS) is an essential therapeutic component in childhood acute lymphoblastic leukemia (ALL). The goal of this study was to identify molecular signatures distinguishing patients with CNS disease from those without the disease in pediatric patients with ALL. We analyzed gene expression data from 207 pediatric patients with ALL. Patients without CNS were classified as CNS1, while those with mild and advanced CNS disease were classified as CNS2 and CNS3, respectively. We compared gene expression levels among the three disease classes. We identified gene signatures distinguishing the three disease classes. Pathway analysis revealed molecular networks and biological pathways dysregulated in response to CNS disease involvement. The identified pathways included the ILK, WNT, B-cell receptor, AMPK, ERK5, and JAK signaling pathways. The results demonstrate that transcription profiling could be used to stratify patients to guide therapeutic decision-making in pediatric ALL.
- Subjects :
- 0301 basic medicine
Microarray
Central nervous system
Disease
acute lymphoblastic leukemia
Bioinformatics
lcsh:RC254-282
Central nervous system disease
03 medical and health sciences
0302 clinical medicine
medicine
Childhood Acute Lymphoblastic Leukemia
Original Research
business.industry
Wnt signaling pathway
Cancer
medicine.disease
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
030104 developmental biology
medicine.anatomical_structure
Oncology
central nervous disease spectrum
030220 oncology & carcinogenesis
gene expression
Signal transduction
business
Subjects
Details
- Language :
- English
- ISSN :
- 11795549
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Clinical Medicine Insights. Oncology
- Accession number :
- edsair.doi.dedup.....d202f704f26d355a2ea58701a6e1a287