Identification of Novel Cryptic Chromosomal Abnormalities in Primary Myelofibrosis by Single-Nucleotide Polymorphism Oligonucleotide Microarray.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1890-1890
Author(s):  
Giuseppe Visani ◽  
Alessandro Isidori ◽  
Maria Rosaria Sapienza ◽  
Simona Righi ◽  
Antonella Laginestra ◽  
...  

Abstract Abstract 1890 Poster Board I-913 Background. Primary myelofibrosis (PMF) is a clonal myeloproliferative neoplasm (MPN) characterised by a proliferation of predominantly megakaryocytes and granulocytes in bone marrow that in fully developed disease is replaced by fibrous tissue. At molecular level, no specific defect has been identified yet. Cytogenetic abnormalities occur in up to 30% of patients, the commonest including del(13)(q12-22), der(6)t(1;6)(q21-23;p21.3), del (20q), and partial trisomy 1q. In addition, approximately 50% of patients with PMF exhibit a single, recurrent, somatic mutation in the gene encoding the cytoplasmic tyrosine kinase Janus kinase 2 (JAK2). However, such mutation is not specific, also occurring in other MPN. Recently a couple of reports dealt with single-nucleotide polymorphism (SNP) array karyotyping of MPD, including some PMF. Importantly, such studies could identify previously uncovered genetic lesions, highlighting the importance of novel high resolution technologies for the detection of formerly unknown, cryptic aberrations. In this study we performed high resolution karyotyping by SNP oligonucleotide microarray by using the most updated Affymetrix array (Genome-Wide Human SNP Array 6.0) in 20 cases of myelofibrosis (MF) in order to identify novel cryptic genomic aberrations. Methods. DNA (500 ng) was extracted from peripheral blood cells (PBMNC) of 14 primary and 6 secondary MF patients. PBMNC were depleted from lymphocytes by magnetic beads. Briefly, CD3+ cells were labeled with anti-CD3 MoAb directly coupled to magnetic microbeads (Miltenyi Biotech), washed and subsequently purified using Mini-MACS technology. After selection, cell present in the positive (CD3) and negative (PBMNC) fractions were counted and submitted to flow cytometry analysis. DNA was processed and hybridized to the Affymetrix SNP arrays 6.0 as for manufacturer instruction. A whole-genome copy number variation (CNV), genotyping, loss of heterozygosity (LOH) and uniparental disomy (UPD) analyses were performed using the Partek Suite 6.0. Ten lab-specific as well as 90 HapMap samples relative to Caucasian healthy donor were used as control reference. Genomic abnormalities were defined as recurrent when occurring in at least 25% of cases. JAK2 mutational status was assessed as reported, by alle-specific PCR. Clinical information and complete follow up were retrieved for all cases. Direct sequencing, FISH, qPCR and immunohistochemistry (IHC) has been chosen for validation. Results. In all patients we could detect several CNV. The median number of CNV was 60 (range, 34-72), including 46 amplifications (A) and 14 deletions (D). All commonest previously described abnormalities were detected. In addition, several formerly uncovered recurrent lesions were identified, mainly involving 1p, 1q, 2p, 4p, 4q, 5q, 6p, 6q, 7q, 8p, 9q 10q, 11p 11q, 12p, 14q, 15q, 16p, 16q, 17q, 18q, 19q, 20p, 22q. The median size of such CNV was 424,582 Kbp (1,379 Kbp-71,277 Mbp). We then compared JAK2+ vs. JAK2− cases. Of note, we found numerous definite aberrations (A or D) distinguishing the two groups and specifically affecting 16q23.1, 1p36.13, 3q26, 14q13.2, 5q33.2, 6q14.1, 7q33, 8p23.1, and 9p11.2. Grippingly, several genes of potential interest for PMF pathogenesis were identified within the involved loci, including RET, SCAPER, WWOX and SIRPB1. Among others, the product of such genes has been selected for validation by IHC. Similarly, many miRNA were recognized, which may deserve further investigation. Conclusions. By using a newly developed highly sensitive array we identified novel cryptic lesions in patients affected by MF. Future studies on larger series, as well as functional analyses will definitely assess their role in the pathogenesis of the disease. Of note, consistent differences were recorded in JAK2+ vs. JAK2−, supporting the hypothesis of different genetic mechanisms occurring in the two sub-groups. Acknowledgments: this work was supported by AIL Pesaro Onlus, Centro Interdipartimentale per la Ricerca sul Cancro “G. Prodi”, BolognAIL, AIRC, FIRB, RFO, Fondazione Cassa di Risparmio in Bologna, Fondazione della Banca del Monte e Ravenna, Progetto Strategico di Ateneo 2006.*GV and MRS equally contributed to this work. Disclosures: No relevant conflicts of interest to declare.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2644-2644
Author(s):  
Azim M Mohamedali ◽  
Tracey J Mitchell ◽  
Silvia Ferreira ◽  
Barbara A Guinn ◽  
Robin M. Ireland ◽  
...  

Abstract Abstract 2644 Poster Board II-620 Mycosis Fungoides (MF) is the commonest form of primary cutaneous T-cell lymphoma but our understanding of the underlying molecular pathogenesis remains limited. Cytogenetic studies remain limited due to difficulties in obtaining analysable mitotic chromosomes for metaphase G-band analysis from MF patients. We have utilised high resolution 250k Affymetrix single nucleotide polymorphism (SNP) arrays to analyse tumour samples from 34 MF patients including 12 paired skin samples using and identified 156 chromosomal aberrations in ten patients (29%). Compared with previous studies using comparative genomic hybridization (CGH) in both MF and Sezary syndrome (SS), SNP array analysis detected a greater frequency of deletions and amplifications on chromosomes 1, 2, 3, 4, 5, 6, 11, and 16. Heterozygous deletions of chromosome 8 were also detected in 3 patients which have been undetected by CGH studies. A particular feature of SNP array technology is the detection of uniparental disomy (UPD) which are copy neutral regions of homozygosity. UPD (median size 32.3Mb (range: 6.6Mb – 159Mb)) was detected in 21% of our MF patients affecting either chromosome 7 (whole chromosome), 8p, 9p/9q, 10q, 12p, 14q, 16p/16q, 17q and 19q. Of note, two patients shared a common UPD region on chromosome 9p that specifically encompassed the p14 and p16 tumour suppressor genes. Thirteen regions of homozygous deletions were also observed in six patients (18%) on chromosomes 1p21.1, 7q34, 9p22.1-21.3, 10p12.1/p12.2/p14/q23.31/q23.1 and 16q23.1-q23.2. Common minimal homozygously deleted regions at 9p21-p22.3 and 16q23.1, suggest the presence of tumour suppressor gene in these regions. Interestingly, all the homozygous regions appeared within a larger region of the UPD or heterozygous deletion. Grouping patients with UPD/deletions or UPD/amplification identified eleven common minimal regions of genomic aberrations occurring in at least 3 patients; 3p24.1-14.2, 7p22.3-12.2, 7q31.1-31.2, 9p21.3-22.1, 10q21.2-26.13, 12p13.33-13.31, 13q14.2-21.1, 16p13.13, 16q23.1, 17p13.3-13.1 and 17q21.32-25.1. The detection of these recurrent abnormalities associated with UPD suggests a series of candidate genes selected for dysregulation through mutational or epigenetic modulation such as MLH, CDKN2A/B, RB1 and TP53. Paired plaque samples were also analysed from 12 patients. Of note, SNP analysis did not always show identical aberrations between these samples. Six patients had multiple aberrant regions in at least one of their samples. Of these, three patients had unique aberrations which were present in only one. This discordance in the distribution of genomic aberrations between the samples may reflect clonal evolution of the disease. To our knowledge, this is the first high resolution SNP array study in MF that has provided additional insight into the pathogenesis of MF. We have identified distinct aberrations not detected by previous studies as well as frequent and widespread UPD harbouring important oncogenes and tumour suppressor genes likely to play key roles in the dysregulation of MF cells. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Lili Zhou ◽  
Zhaoke Zheng ◽  
Yunzhi Xu ◽  
Xiaoxiao Lv ◽  
Chenyang Xu ◽  
...  

Abstract Background The phenotypes of uniparental disomy (UPD) are variable, which may either have no clinical impact, lead to clinical signs and symptoms. Molecular analysis is essential for making a correct diagnosis. This study involved a retrospective analysis of 4512 prenatal diagnosis samples and explored the molecular characteristics and prenatal phenotypes of UPD using a single nucleotide polymorphism (SNP) array. Results Out of the 4512 samples, a total of seven cases of UPD were detected with an overall frequency of 0.16%. Among the seven cases of UPD, two cases are associated with chromosomal aberrations (2/7), four cases (4/7) had abnormal ultrasonographic findings. One case presented with iso-UPD (14), and two case presented with mixed hetero/iso-UPD (15), which were confirmed by Methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) as maternal UPD (15) associated with Prader-Willi syndrome (PWS). Four cases had iso-UPD for chromosome 1, 3, 14, and 16, respectively; this is consistent with the monosomy rescue mechanism. Another three cases presented with mixed hetero/isodisomy were consistent with a trisomy rescue mechanism. Conclusion The prenatal phenotypes of UPD are variable and molecular analysis is essential for making a correct diagnosis and genetic counselling of UPD. The SNP array is a useful genetic test in prenatal diagnosis cases with UPD.


Blood ◽  
2010 ◽  
Vol 115 (21) ◽  
pp. 4157-4161 ◽  
Author(s):  
Stefan Heinrichs ◽  
Cheng Li ◽  
A. Thomas Look

Comprehensive analysis of the cancer genome has become a standard approach to identifying new disease loci, and ultimately will guide therapeutic decisions. A key technology in this effort, single nucleotide polymorphism arrays, has been applied in hematologic malignancies to detect deletions, amplifications, and loss of heterozygosity (LOH) at high resolution. An inherent challenge of such studies lies in correctly distinguishing somatically acquired, cancer-specific lesions from patient-specific inherited copy number variations or segments of homozygosity. Failure to include appropriate normal DNA reference samples for each patient in retrospective or prospective studies makes it difficult to identify small somatic deletions not evident by standard cytogenetic analysis. In addition, the lack of proper controls can also lead to vastly overestimated frequencies of LOH without accompanying loss of DNA copies, so-called copy-neutral LOH. Here we use examples from patients with myeloid malignancies to demonstrate the superiority of matched tumor and normal DNA samples (paired studies) over multiple unpaired samples with respect to reducing false discovery rates in high-resolution single nucleotide polymorphism array analysis. Comparisons between matched tumor and normal samples will continue to be critical as the field moves from high resolution array analysis to deep sequencing to detect abnormalities in the cancer genome.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5424-5424
Author(s):  
Yang Ou ◽  
Hongbin Yu ◽  
Yu Wu

Background: Metaphase cytogenetics (MC), which has an important diagnostic, prognostic and therapeutic roles in myelodysplastic syndrome (MDS), is widely used as cytogenetic analyzing tools. It can present entire cytogenetic information at one time, although with some limitations such as Hypocellularity, fewer mitotic cells, secondary myelofibrosis and technicians' subjectivity. Single nucleotide polymorphism(SNP)array based karyotyping ( SNP-A based karyotyping) is a novel diagnostic tool which can detect copy number variations with a high resolution. More importantly, SNP-based array has a unique advantage in detection of loss of heterozygosity, also referred as to uniparental disomy (UPD), which results from duplication of a paternal (unimaternal) or maternal (unipaternal) chromosomal region and concurrent loss of the other allele. However the technology is still relatively expensive, and balanced structural METHOD: We analyzed SNP-A results from 127 patients diagnosed of MDS or MDS related myeloid malignancies(including 6 MDS/MPN, 11 acute myeloid leukemia from MDS, and 110 MDS). 122 patients of them had both MC and SNP-A results. We compared the frequency and diagnostic sensitivity between the cytogenetic aberration findings by MC and genomic alteration findings by SNP-A. In addition, we investigated the novel or additional lesions detected by SNP-A which had not been found by MC, and find further information about the edges of SNP-A. We drew attention to the missing matters of SNP-A which mentioned in MC reports to integrate the limits of SNP-A. We also used multiple-factor analysis to find out the specific situation which MC are not inferior to SNP-A. RESULTS: There are 199 genomic alteration findings in 127 patients by SNP-A ( including 43 UPDs, 57 gain alterations, 86 loss alterations and 13 complicated alterations). The average length of genomic alterations found by SNP-A is 27795.71Kb, the longest one is GainMosaic(1) (248375kb), the shortest is a UPD found in 17q (41.88Kb). In the 122 patients who had both MC and SNP-A results, SNP-A turns to be more effective than MC in significant chromosomal defects(58.2% vs 36.9%,P<0.005). Novel or additional lesions are detected by SNP-A in patients with normal/noninformative (42.2%) and abnormal(44.4%) MC results. By comparison of the specific results between SNP-A and MC, we found in all 10 complex karyotypes (not less than three cytogenetic aberrations detected by MC), SNP-A could be a more sensitive method to gain more information about particular lesions. Except 10 complex karyotypes, 78 novel or additional lesions in 40 patients could be detected by SNP-A while won't turn up in Metaphase cytogenetics, and these included 38 aberrations of UPD and 33 mosaic deletions or gains. 6 chromosome translocations was detected by MC while not found by SNP-A because of no changes in copy numbers. Two mark DNAs were found in two different patients by MC while SNP-A were negative and need further examination. And combined MC/SNP-A lead to higher diagnostic yield of chromosomal defects, compared MC alone(61.4% vs 37.5%, P<0.005). CONCLUSIONS: SNP-A based karyotyping seemed to be more sensitive than MC. Because SNP-A based karyotyping have a high throughput to find mosaic deletions or gains and it is the unique metod to detect UPD. SNP-A also can show more information than MC in complex karyotypes. Disclosures No relevant conflicts of interest to declare.


Sign in / Sign up

Export Citation Format

Share Document