Literature DB >> 18663149

High-resolution whole genome tiling path array CGH analysis of CD34+ cells from patients with low-risk myelodysplastic syndromes reveals cryptic copy number alterations and predicts overall and leukemia-free survival.

Daniel T Starczynowski1, Suzanne Vercauteren, Adele Telenius, Sandy Sung, Kaoru Tohyama, Angela Brooks-Wilson, John J Spinelli, Connie J Eaves, Allen C Eaves, Douglas E Horsman, Wan L Lam, Aly Karsan.   

Abstract

Myelodysplastic syndromes (MDSs) pose an important diagnostic and treatment challenge because of the genetic heterogeneity and poorly understood biology of the disease. To investigate initiating genomic alterations and the potential prognostic significance of cryptic genomic changes in low-risk MDS, we performed whole genome tiling path array comparative genomic hybridization (aCGH) on CD34(+) cells from 44 patients with an International Prognostic Scoring System score less than or equal to 1.0. Clonal copy number differences were detected in cells from 36 of 44 patients. In contrast, cells from only 16 of the 44 patients displayed karyotypic abnormalities. Although most patients had normal karyotype, aCGH identified 21 recurring copy number alterations. Examples of frequent cryptic alterations included gains at 11q24.2-qter, 17q11.2, and 17q12 and losses at 2q33.1-q33.2, 5q13.1-q13.2, and 10q21.3. Maintenance of genomic integrity defined as less than 3 Mb total disruption of the genome correlated with better overall survival (P = .002) and was less frequently associated with transformation to acute myeloid leukemia (P = .033). This study suggests a potential role for the use of aCGH in the clinical workup of MDS patients.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18663149     DOI: 10.1182/blood-2007-11-122028

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  41 in total

Review 1.  Illuminating the functional and structural repertoire of human TBC/RABGAPs.

Authors:  Marieke A M Frasa; Katja T Koessmeier; M Reza Ahmadian; Vania M M Braga
Journal:  Nat Rev Mol Cell Biol       Date:  2012-01-18       Impact factor: 94.444

2.  A compressed sensing based approach for subtyping of leukemia from gene expression data.

Authors:  Wenlong Tang; Hongbao Cao; Junbo Duan; Yu-Ping Wang
Journal:  J Bioinform Comput Biol       Date:  2011-10       Impact factor: 1.122

3.  Array comparative genomic hybridization detects chromosomal abnormalities in hematological cancers that are not detected by conventional cytogenetics.

Authors:  Lina Shao; Sung-Hae L Kang; Jian Li; Patricia Hixson; Jesalyn Taylor; Svetlana A Yatsenko; Chad A Shaw; Aleksandar Milosavljevic; Chung-Che Chang; Sau Wai Cheung; Ankita Patel
Journal:  J Mol Diagn       Date:  2010-08-19       Impact factor: 5.568

Review 4.  The inflammatory microenvironment in MDS.

Authors:  Lili Yang; Yaqin Qian; Erika Eksioglu; Pearlie K Epling-Burnette; Sheng Wei
Journal:  Cell Mol Life Sci       Date:  2015-02-08       Impact factor: 9.261

5.  Clonal hematopoiesis of indeterminate potential and its distinction from myelodysplastic syndromes.

Authors:  David P Steensma; Rafael Bejar; Siddhartha Jaiswal; R Coleman Lindsley; Mikkael A Sekeres; Robert P Hasserjian; Benjamin L Ebert
Journal:  Blood       Date:  2015-04-30       Impact factor: 22.113

6.  Methylation of promoters of microRNAs and their host genes in myelodysplastic syndromes.

Authors:  Begum Erdogan; Amma Bosompem; Dunfa Peng; Leng Han; Emily Smith; Mija E Kennedy; Catherine E Alford; Huiyun Wu; Zhongming Zhao; Claudio A Mosse; Wael El-Rifai; Annette S Kim
Journal:  Leuk Lymphoma       Date:  2013-05-15

7.  FISH analysis for TET2 deletion in a cohort of 362 Brazilian myeloid malignancies: correlation with karyotype abnormalities.

Authors:  Fábio Morato de Oliveira; Carlos Eduardo Miguel; Antônio Roberto Lucena-Araujo; Ana Silvia Gouvêa de Lima; Roberto Passetto Falcão; Eduardo Magalhães Rego
Journal:  Med Oncol       Date:  2013-02-07       Impact factor: 3.064

8.  Induction of myelodysplasia by myeloid-derived suppressor cells.

Authors:  Xianghong Chen; Erika A Eksioglu; Junmin Zhou; Ling Zhang; Julie Djeu; Nicole Fortenbery; Pearlie Epling-Burnette; Sandra Van Bijnen; Harry Dolstra; John Cannon; Je-in Youn; Sarah S Donatelli; Dahui Qin; Theo De Witte; Jianguo Tao; Huaquan Wang; Pingyan Cheng; Dmitry I Gabrilovich; Alan List; Sheng Wei
Journal:  J Clin Invest       Date:  2013-11       Impact factor: 14.808

Review 9.  Deregulation of innate immune and inflammatory signaling in myelodysplastic syndromes.

Authors:  I Gañán-Gómez; Y Wei; D T Starczynowski; S Colla; H Yang; M Cabrero-Calvo; Z S Bohannan; A Verma; U Steidl; G Garcia-Manero
Journal:  Leukemia       Date:  2015-03-12       Impact factor: 11.528

10.  Risk stratification in myelodysplastic syndromes: is there a role for gene expression profiling?

Authors:  Amer M Zeidan; Thomas Prebet; Ehab Saad Aldin; Steven David Gore
Journal:  Expert Rev Hematol       Date:  2014-02-24       Impact factor: 2.929

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.