Gene expression classifiers for relapse-free survival and minimal residual disease improve risk classification and outcome prediction in pediatric B-precursor acute lymphoblastic leukemia.

@article{Kang2010GeneEC,
  title={Gene expression classifiers for relapse-free survival and minimal residual disease improve risk classification and outcome prediction in pediatric B-precursor acute lymphoblastic leukemia.},
  author={Huining Kang and I Chen and Carla S. Wilson and Edward J. Bedrick and Richard C. Harvey and Susan R. Atlas and Meenakshi Devidas and Charles G Mullighan and Xuefei Wang and Maurice H. Murphy and Kerem Ar and Walker Wharton and Michael J. Borowitz and W. Paul Bowman and Deepa Bhojwani and William L Carroll and Bruce M. Camitta and Gregory H. Reaman and Malcolm A Smith and James R. Downing and Stephen P Hunger and Cheryl Willman},
  journal={Blood},
  year={2010},
  volume={115 7},
  pages={
          1394-405
        }
}
To determine whether gene expression profiling could improve outcome prediction in children with acute lymphoblastic leukemia (ALL) at high risk for relapse, we profiled pretreatment leukemic cells in 207 uniformly treated children with high-risk B-precursor ALL. A 38-gene expression classifier predictive of relapse-free survival (RFS) could distinguish 2 groups with differing relapse risks: low (4-year RFS, 81%, n = 109) versus high (4-year RFS, 50%, n = 98; P < .001). In multivariate analysis… CONTINUE READING

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