Genomic Tumour Profiling with High-Density Oligonucleotide SNP Array in Sézary Syndrome.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2289-2289
Author(s):  
Giandomenico Russo ◽  
Maria Grazia Narducci ◽  
Mauro Helmer Citterich ◽  
Maria Cristina Picchio ◽  
Cristina Critofoletti ◽  
...  

Abstract Sézary Syndrome (SS) is a rare and aggressive form of Cutaneous T-Cell Lymphoma (CTCL) characterised by a distinct metastatic pattern mainly involving blood and skin and whose etiology and molecular pathogenesis are still unclear. Conventional cytogenetics studies have shown that most SS patients have chromosome aberrations; however allelotyping studies and genome-wide surveys for chromosome imbalances in this tumour are still very limited (Mao X. et al. 2003 Genes Chromosome Cancer 36:250–260). High-density single nucleotide polymorphism (SNP) arrays allow high-resolution and genome-wide detection of both loss of heterozygosity (LOH) and copy number (CN) abnormality. Therefore we used Affymetrix 10K SNP mapping array containing 11,560 tiled SNPs to investigate genomic aberrations of 13 individuals affected by SS. Genotype calls and signal information were obtained using GeneChip Operating Software (GCOS 1.4) and GeneChip DNA Analysis Software (GTYPE4.0). SNP calls were exported to be analysed with DNA-chip Analyser (dChip v1.3+) genotyping software which allows the simultaneous measurement of DNA copy number changes and LOH events (Zhao X. et al. 2004 Cancer Res. 64:3060–71; Lin M et al. 2004 Bioinformatics 20:1233–40). Our findings indicate that chromosomes 17p, 10/10q and 9 are most frequently affected by LOH events, while gains of CN were observed more often for chromosome 17q and 8/8q. Among our patients almost all individuals showing loss of the 17p arm have also gain of the 17q, suggesting the presence of the isochromosome 17q, a frequently reported abnormality in SS. In addition to this, we characterised the chromosome LOH pattern identifying seven regions of significant loss shared by multiple tumours. Sample clustering based on significant LOH regions identified two groups of patients: one of them consists of 4 patients with a lower rate of chromosomal losses while the other contains 9 patients mainly characterised by the co-occurrence of LOH at chromosome 17 and chromosome 10. The frequency and pattern of chromosomal changes in our group of 13 SS patients are in substantial agreement with previously described results using more conventional techniques, demonstrating the feasibility of the 10K SNP mapping array system to assess allelic imbalance in this tumour. The genome-wide approach and SNP high density allowed the identification of a larger number of LOH regions, including, however, those already described (chromosome 9p, 10q and 17p). Even though no significant statistical association can be observed due to the low number of cases available, we observed a lower overall survival in the group of 9 patients showing simultaneous LOH events at chromosome 17 and 10.

Haematologica ◽  
2011 ◽  
Vol 97 (2) ◽  
pp. 304-309 ◽  
Author(s):  
H.-J. Kim ◽  
D.-K. Kim ◽  
K.-Y. Yoo ◽  
C.-W. You ◽  
J.-H. Yoo ◽  
...  

2015 ◽  
Vol 46 (2) ◽  
pp. 148-157 ◽  
Author(s):  
G. Yi ◽  
L. Qu ◽  
S. Chen ◽  
G. Xu ◽  
N. Yang

2009 ◽  
Vol 84 (3) ◽  
pp. 339-350 ◽  
Author(s):  
Martin F. Arlt ◽  
Jennifer G. Mulle ◽  
Valerie M. Schaibley ◽  
Ryan L. Ragland ◽  
Sandra G. Durkin ◽  
...  

2013 ◽  
Author(s):  
Olafur A. Stefansson ◽  
Sebastian Moran ◽  
Antonio Gomez ◽  
Sergi Sayols Puig ◽  
Jorunn Eyfjord ◽  
...  

2019 ◽  
Vol 47 (19) ◽  
pp. e122-e122
Author(s):  
Ramya Viswanathan ◽  
Elsie Cheruba ◽  
Lih Feng Cheow

Abstract Genome-wide profiling of copy number alterations and DNA methylation in single cells could enable detailed investigation into the genomic and epigenomic heterogeneity of complex cell populations. However, current methods to do this require complex sample processing and cleanup steps, lack consistency, or are biased in their genomic representation. Here, we describe a novel single-tube enzymatic method, DNA Analysis by Restriction Enzyme (DARE), to perform deterministic whole genome amplification while preserving DNA methylation information. This method was evaluated on low amounts of DNA and single cells, and provides accurate copy number aberration calling and representative DNA methylation measurement across the whole genome. Single-cell DARE is an attractive and scalable approach for concurrent genomic and epigenomic characterization of cells in a heterogeneous population.


Blood ◽  
2007 ◽  
Vol 110 (9) ◽  
pp. 3326-3333 ◽  
Author(s):  
Gabrielle S. Sellick ◽  
Lynn R. Goldin ◽  
Ruth W. Wild ◽  
Susan L. Slager ◽  
Laura Ressenti ◽  
...  

Abstract Chronic lymphocytic leukemia (CLL) and other B-cell lymphoproliferative disorders display familial aggregation. To identify a susceptibility gene for CLL, we assembled families from the major European (ICLLC) and American (GEC) consortia to conduct a genome-wide linkage analysis of 101 new CLL pedigrees using a high-density single nucleotide polymorphism (SNP) array and combined the results with data from our previously reported analysis of 105 families. Here, we report on the combined analysis of the 206 families. Multipoint linkage analyses were undertaken using both nonparametric (model-free) and parametric (model-based) methods. After the removal of high linkage disequilibrium SNPs, we obtained a maximum nonparametric linkage (NPL) score of 3.02 (P = .001) on chromosome 2q21.2. The same genomic position also yielded the highest multipoint heterogeneity LOD (HLOD) score under a common recessive model of disease susceptibility (HLOD = 3.11; P = 7.7 × 10−5), which was significant at the genome-wide level. In addition, 2 other chromosomal positions, 6p22.1 (corresponding to the major histocompatibility locus) and 18q21.1, displayed HLOD scores higher than 2.1 (P < .002). None of the regions coincided with areas of common chromosomal abnormalities frequently observed in CLL. These findings provide direct evidence for Mendelian predisposition to CLL and evidence for the location of disease loci.


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