Literature DB >> 27836923

Single-nucleotide polymorphism array (SNP-A) improves the identification of chromosomal abnormalities by metaphase cytogenetics in myelodysplastic syndrome.

Fernanda Borges da Silva1, João Agostinho Machado-Neto1, Virginia Helena Leira Lipoli Bertini1, Elvira Deolinda Rodrigues Pereira Velloso2,3, Cristina Alonso Ratis2, Rodrigo T Calado1, Belinda Pinto Simões1, Eduardo Magalhães Rego1, Fabiola Traina1.   

Abstract

AIMS: The myelodysplastic syndromes (MDS) are a heterogeneous group of clonal haematopoietic stem cell disorders characterised by inefficient haematopoiesis and risk of progression to acute myeloid leukaemia. Metaphase cytogenetics is an extremely valuable clinical tool in the management of haematological malignancies. However, metaphase cytogenetics requires cellular proliferation, its sensitivity and resolution depends on the proportion of clonal cells in the sample and size of the lesion, respectively. Single-nucleotide polymorphism array (SNP-A) does not depend on the presence of dividing cells, is able to detect copy number variations with a high resolution and to detect copy number neutral loss of heterozygosity or uniparental disomy (UPD). The aim of this study was to illustrate that the use of SNP-A can cover cryptic chromosomal lesions not identified by metaphase cytogenetics in patients with MDS.
METHODS: Metaphase cytogenetics was performed on bone marrow aspirate using standard methods. Genomic DNA from total bone marrow cells were submitted to SNP-A using Affymetrix Genome-Wide Human SNP CytoScan HD.
RESULTS: In our cohort of 15 patients with a diagnosis of MDS and related diseases, chromosomal abnormalities were found in 47% of the cases by SNP-A and in 33% by metaphase cytogenetics. SNP-A detected all lesions identified by metaphase cytogenetics, except a balanced translocation and a marker chromosome. Notably, SNP-A detected a total of 30 new lesions: 1 (3%) gain, 17 (57%) losses and 12 (40%) UPDs in 5 patients with MDS.
CONCLUSIONS: SNP-A may complement metaphase cytogenetics to improve the detection of chromosomal abnormalities in myeloid neoplasms. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  CYTOGENETICS; LEUKAEMIA; MYELODYSPLASIA

Mesh:

Year:  2016        PMID: 27836923     DOI: 10.1136/jclinpath-2016-204023

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  5 in total

1.  Invariant phenotype and molecular association of biallelic TET2 mutant myeloid neoplasia.

Authors:  Hassan Awada; Yasunobu Nagata; Abhinav Goyal; Mohammad F Asad; Bhumika Patel; Cassandra M Hirsch; Teodora Kuzmanovic; Yihong Guan; Bartlomiej P Przychodzen; Mai Aly; Vera Adema; Wenyi Shen; Louis Williams; Aziz Nazha; Mohamed E Abazeed; Mikkael A Sekeres; Tomas Radivoyevitch; Torsten Haferlach; Babal K Jha; Valeria Visconte; Jaroslaw P Maciejewski
Journal:  Blood Adv       Date:  2019-02-12

2.  Combining metaphase cytogenetics with single nucleotide polymorphism arrays can improve the diagnostic yield and identify prognosis more precisely in myelodysplastic syndromes.

Authors:  Yao Qin; Hang Zhang; Lin Feng; Haichen Wei; Yuling Wu; Chaoran Jiang; Zhihong Xu; Huanling Zhu; Ting Liu
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

Review 3.  Techniques for detecting chromosomal aberrations in myelodysplastic syndromes.

Authors:  Qibin Song; Min Peng; Yuxin Chu; Shiang Huang
Journal:  Oncotarget       Date:  2017-05-09

4.  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

Review 5.  The Cytoscan HD Array in the Diagnosis of Neurodevelopmental Disorders.

Authors:  Francesca Scionti; Maria Teresa Di Martino; Licia Pensabene; Valentina Bruni; Daniela Concolino
Journal:  High Throughput       Date:  2018-09-14
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.