Literature DB >> 31334569

Cytogenomic array detects a subset of myelodysplastic syndrome with increased risk that is invisible to conventional karyotype.

Sarah M Choi1, Steven B Van Norman1, Dale L Bixby2, Lina Shao1.   

Abstract

Conventional karyotyping is essential standard practice in the initial evaluation of myelodysplastic syndrome (MDS) and is the most impactful single component of the Revised International Prognostic Scoring System (IPSS-R). While single nucleotide polymorphism array (SNP-A) has demonstrated the ability to detect chromosomal defects with greater sensitivity than conventional karyotype, widespread adoption is limited by the unknown additional prognostic impact of SNP-A analysis. Here, we investigate the significance of additional SNP-A abnormalities in the setting of MDS and demonstrate differences in survival of patients with additional abnormalities, even those initially characterized as relatively lower risk either by cytogenetic score or IPSS-R. Our findings identify specific abnormalities, particularly KMT2A partial tandem duplication, that are invisible to conventional karyotype and potentially contribute to the poor prognosis of MDS patients. Furthermore, these results demonstrate the added value of SNP-A analysis in identifying patients who may benefit from more aggressive therapy, particularly those who would otherwise be classified into lower risk categories.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  MDS; SNP array; SNP-A; cytogenomic array; myelodysplastic syndrome

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Year:  2019        PMID: 31334569     DOI: 10.1002/gcc.22783

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  1 in total

1.  Single-Nucleotide Polymorphism Array Technique Generating Valuable Risk-Stratification Information for Patients With Myelodysplastic Syndromes.

Authors:  Xia Xiao; Xiaoyuan He; Qing Li; Wei Zhang; Haibo Zhu; Weihong Yang; Yuming Li; Li Geng; Hui Liu; Lijuan Li; Huaquan Wang; Rong Fu; Mingfeng Zhao; Zhong Chen; Zonghong Shao
Journal:  Front Oncol       Date:  2020-07-07       Impact factor: 6.244

  1 in total

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