Microarray-based classification of a consecutive series of 121 childhood acute leukemias: prediction of leukemic and genetic subtype as well as of minimal residual disease status.
(2007) In Leukemia 21(6). p.1198-1203- Abstract
- Gene expression analyses were performed on 121 consecutive childhood leukemias (87 B-lineage acute lymphoblastic leukemias (ALLs), 11 T-cell ALLs and 23 acute myeloid leukemias (AMLs)), investigated during an 8-year period at a single center. The supervised learning algorithm k-nearest neighbor was utilized to build gene expression predictors that could classify the ALLs/AMLs according to clinically important subtypes with high accuracy. Validation experiments in an independent data set verified the high prediction accuracies of our classifiers. B-lineage ALLs with uncharacteristic cytogenetic aberrations or with a normal karyotype displayed heterogeneous gene expression profiles, resulting in low prediction accuracies. Minimal residual... (More)
- Gene expression analyses were performed on 121 consecutive childhood leukemias (87 B-lineage acute lymphoblastic leukemias (ALLs), 11 T-cell ALLs and 23 acute myeloid leukemias (AMLs)), investigated during an 8-year period at a single center. The supervised learning algorithm k-nearest neighbor was utilized to build gene expression predictors that could classify the ALLs/AMLs according to clinically important subtypes with high accuracy. Validation experiments in an independent data set verified the high prediction accuracies of our classifiers. B-lineage ALLs with uncharacteristic cytogenetic aberrations or with a normal karyotype displayed heterogeneous gene expression profiles, resulting in low prediction accuracies. Minimal residual disease status (MRD) in T-cell ALLs with a high (40.1%) MRD at day 29 could be classified with 100% accuracy already at the time of diagnosis. In pediatric leukemias with uncharacteristic cytogenetic aberrations or with a normal karyotype, unsupervised analysis identified two novel subgroups: one consisting mainly of cases remaining in complete remission (CR) and one containing a few patients in CR and all but one of the patients who relapsed. This study of a consecutive series of childhood leukemias confirms and extends further previous reports demonstrating that global gene expression profiling provides a valuable tool for genetic and clinical classification of childhood leukemias. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/167786
- author
- organization
- publishing date
- 2007
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- gene expression profiling, pediatric leukemia, supervised, classification, ALL, AML
- in
- Leukemia
- volume
- 21
- issue
- 6
- pages
- 1198 - 1203
- publisher
- Nature Publishing Group
- external identifiers
-
- wos:000246799300009
- scopus:34249676963
- ISSN
- 1476-5551
- DOI
- 10.1038/sj.leu.2404688
- language
- English
- LU publication?
- yes
- id
- 2b83d73e-e3ea-494d-a63c-4c87873cfc64 (old id 167786)
- alternative location
- http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=17410184&dopt=Abstract
- date added to LUP
- 2016-04-01 15:56:33
- date last changed
- 2024-10-11 11:40:57
@article{2b83d73e-e3ea-494d-a63c-4c87873cfc64, abstract = {{Gene expression analyses were performed on 121 consecutive childhood leukemias (87 B-lineage acute lymphoblastic leukemias (ALLs), 11 T-cell ALLs and 23 acute myeloid leukemias (AMLs)), investigated during an 8-year period at a single center. The supervised learning algorithm k-nearest neighbor was utilized to build gene expression predictors that could classify the ALLs/AMLs according to clinically important subtypes with high accuracy. Validation experiments in an independent data set verified the high prediction accuracies of our classifiers. B-lineage ALLs with uncharacteristic cytogenetic aberrations or with a normal karyotype displayed heterogeneous gene expression profiles, resulting in low prediction accuracies. Minimal residual disease status (MRD) in T-cell ALLs with a high (40.1%) MRD at day 29 could be classified with 100% accuracy already at the time of diagnosis. In pediatric leukemias with uncharacteristic cytogenetic aberrations or with a normal karyotype, unsupervised analysis identified two novel subgroups: one consisting mainly of cases remaining in complete remission (CR) and one containing a few patients in CR and all but one of the patients who relapsed. This study of a consecutive series of childhood leukemias confirms and extends further previous reports demonstrating that global gene expression profiling provides a valuable tool for genetic and clinical classification of childhood leukemias.}}, author = {{Andersson, Anna and Ritz, Cecilia and Lindgren, David and Edén, Patrik and Lassen, Carin and Heldrup, Jesper and Olofsson, Tor and Råde, Johan and Fontes, Magnus and Porwit-Macdonald, A and Behrendtz, M and Höglund, Mattias and Johansson, Bertil and Fioretos, Thoas}}, issn = {{1476-5551}}, keywords = {{gene expression profiling; pediatric leukemia; supervised; classification; ALL; AML}}, language = {{eng}}, number = {{6}}, pages = {{1198--1203}}, publisher = {{Nature Publishing Group}}, series = {{Leukemia}}, title = {{Microarray-based classification of a consecutive series of 121 childhood acute leukemias: prediction of leukemic and genetic subtype as well as of minimal residual disease status.}}, url = {{http://dx.doi.org/10.1038/sj.leu.2404688}}, doi = {{10.1038/sj.leu.2404688}}, volume = {{21}}, year = {{2007}}, }