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12th Congress of the European Hematology ... - Haematologica

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12 th <strong>Congress</strong> <strong>of</strong> <strong>the</strong> <strong>European</strong> <strong>Hematology</strong> Association<br />

0696<br />

ANALYSIS OF DNA REPAIR GENES VARIANTS IN MULTIPLE MYELOMA PATIENTS<br />

M. Renzulli, 1 C. Terragna, 1 S. Angelini, 2 P. Hrelia, 2 P. Tosi, 1<br />

E. Zamagni, 1 P. Tacchetti, 1 G. Perrone, 1 M. Ceccolini, 1 G. Martinelli, 1<br />

M. Baccarani, 1 M. Cavo 1<br />

1 Inst. <strong>of</strong> Hemat. Med. Oncol. Seràgnoli, BOLOGNA; 2 Pharmacology Dept., University<br />

<strong>of</strong> Bologn, BOLOGNA, Italy<br />

Introduction and Aim. A malfunction <strong>of</strong> <strong>the</strong> network responsible for<br />

genome stability e.g. DNA repair and high accuracy <strong>of</strong> DNA syn<strong>the</strong>sis during<br />

DNA replication may be related to <strong>the</strong> pathogenesis <strong>of</strong> Multiple<br />

Myeloma (MM), whose tumoral clone is characterized by a remarkable<br />

high genetic instability. Among all <strong>the</strong> chromosomal alterations so far<br />

described, translocations involving chromosome 14 and several chromosomal<br />

partners are <strong>the</strong> most frequent and <strong>the</strong> most importantly correlated<br />

to MM prognosis. In particular, it has been shown that <strong>the</strong> presence <strong>of</strong><br />

t(4;14)(p16;q32) at diagnosis has a unfavourable impact on prognosis. In<br />

this study, a group <strong>of</strong> 82 MM patients and a group <strong>of</strong> 259 healthy donors<br />

were genotyped for common SNPs in DNA repair genes. The aim was to<br />

evaluate <strong>the</strong> overall frequency <strong>of</strong> <strong>the</strong>se variants in MM patients and in particular<br />

in those patients carrying t(4;14)(p16q32). Methods. PCR-RFLP<br />

assays were used to detect five polymorphisms in <strong>the</strong> DNA repair genes<br />

APE1, XRCC1, NBS1, XRCC3, and XPD. An RT-PCR assay was adopted<br />

to identify <strong>the</strong> IgH/MMSET fusion gene, as t(4;14)(p16q32) surrogate.<br />

Results. Allele frequencies in XRCC1, XRCC3, XPD23 and NBS1 SNPs<br />

genes were similar in MM patients and healthy donors. On <strong>the</strong> contrary,<br />

<strong>the</strong> APE1 variant genotype was significantly associated to a MM increased<br />

risk (p=0,04). Moreover, genotype combination <strong>of</strong> polymorphic-XRCC3<br />

and normal-NBS1 had a marginally significant lower frequency in MM<br />

patients, when compared to healthy donors (2,4% vs. 8,5%, p=0,05).<br />

Overall, t(4;14)(p16q32) frequency was 26%. Considering MM patients<br />

with NBS1 variant allele, <strong>the</strong> incidence <strong>of</strong> <strong>the</strong> t(4;14)(p16q32) positive<br />

patients was higher, compared to t(4;14)(p16q32) negative patients (19,1%<br />

vs. 9,8%), however this difference was not statistically significant. Conclusions.<br />

The preliminary results presented here support <strong>the</strong> hypo<strong>the</strong>sis<br />

that common polymorphisms in DNA repair genes may be an important<br />

modifier <strong>of</strong> individual susceptibility to MM. In particular, APE1 polymorphisms<br />

may have a role in MM onset. Moreover, <strong>the</strong> contribution <strong>of</strong> <strong>the</strong><br />

NBS1 variant allele to MM onset or to t(4;14)(p14q32) insurgence cannot<br />

be excluded. Fur<strong>the</strong>r studies are ongoing in a larger sample-size population.<br />

0697<br />

GENOME-WIDE ANALYSIS OF DNA COPY NUMBER CHANGES IN MULTIPLE MYELOMA<br />

USING HIGH-DENSITY SNP ARRAYS<br />

L . Mosca, 1 L. Agnelli, 1 D. Ronchetti, 2 S. Fabris, 1 K. Todoerti, 1<br />

S. Bicciato, 3 L Baldini, 2 F Morabito, 4 G Lambertenghi-Deliliers, 2<br />

A Neri1 1 Fondazione IRCCS Policlinico, MILAN; 2 Università degli Studi di Milano,<br />

MILAN; 3 Università degli Studi di Padova, PADUA; 4 A.O. Annunziata,<br />

COSENZA, Italy<br />

Background. Multiple myeloma (MM) is characterized by a pr<strong>of</strong>ound<br />

genomic instability that involves both ploidy and structural rearrangements.<br />

Nearly half <strong>of</strong> MM tumors are non-hyperdiploid and frequently<br />

show deletion <strong>of</strong> chromosome 13 and constitutive activation <strong>of</strong><br />

CCND1(11q13), CCND3(6q), MAF(16q24), MAFB (20q), or FGFR3/<br />

MMSET (4p16.3) genes as a result <strong>of</strong> chromosomal translocations involving<br />

<strong>the</strong> immunoglobulin heavy chain (IGH) locus on chromosome 14q32.<br />

The remaining tumors are hyperdiploid and show a low prevalence <strong>of</strong><br />

IGH translocations and chromosome 13 deletions. Despite <strong>the</strong> remarkable<br />

recent advances, <strong>the</strong> spectrum <strong>of</strong> genetic lesions leading to <strong>the</strong> biological<br />

and clinical variability <strong>of</strong> MM has not been defined yet. Novel highthroughput<br />

approaches may help to progress into <strong>the</strong> definition <strong>of</strong> <strong>the</strong> pr<strong>of</strong>ound<br />

genomic instability generating <strong>the</strong> bio-clinical heterogeneity <strong>of</strong> plasma<br />

cell dyscrasias. Aims. The purpose <strong>of</strong> <strong>the</strong> present study was a genome<br />

wide analysis <strong>of</strong> genetic lesions in a representative and stratified panel <strong>of</strong><br />

MM patients, to provide more insights into <strong>the</strong> genomic heterogeneity<br />

associated with plasma cell neoplasms. Methods. Genome wide pr<strong>of</strong>iling<br />

data have been generated on high-density SNP arrays (50K). After pre-processing,<br />

<strong>the</strong> piecewise constant estimates <strong>of</strong> <strong>the</strong> underlying local DNA<br />

copy number variation was calculated using <strong>the</strong> DNAcopy Bioconductor<br />

package, which looks for optimal breakpoints using circular binary segmentation<br />

(CBS). The median <strong>of</strong> <strong>the</strong> estimated pr<strong>of</strong>iles was scaled back<br />

to a nominal multiplicity <strong>of</strong> two. Inferred copy number <strong>of</strong> more than 2.3<br />

260 | haematologica/<strong>the</strong> hematology journal | 2007; 92(s1)<br />

or less than 1.7 corresponded to gain or loss <strong>of</strong> DNA, respectively. The<br />

regions presenting a copy number <strong>of</strong> more than 4 were referred to as gains<br />

and subsequently analyzed to investigate copy number alterations. Hierarchical<br />

clustering was performed by using <strong>of</strong> dChip s<strong>of</strong>tware. Results.<br />

Hierarchical clustering analysis was used to investigate altered copy number<br />

in 41 MM patients, 7 plasma cell leukaemia (PCL) and 7 normal samples.<br />

By considering only SNPs with copy number alteration in almost<br />

20% <strong>of</strong> patients, our analysis showed that chromosome 1q gain (p=1×10 –4 )<br />

and chromosome 13 deletion (p=2.3×10 –3 ) are <strong>the</strong> main genetic aberrations<br />

driving samples grouping. Highly increased copy number DNA levels<br />

were found in six different regions, specifically from chromosome 1q and<br />

19, and those chromosomes involved in hyperdiploidy (7, 9, 11, and 15).<br />

With regard to regions with decreased copy number, we found <strong>the</strong><br />

involvement <strong>of</strong> <strong>the</strong> two chromosomal regions 18q and 4p not previously<br />

reported that warrant fur<strong>the</strong>r investigations. Conclusions. Our data reinforce<br />

<strong>the</strong> importance <strong>of</strong> using novel high-throughput approaches to provide<br />

insights into <strong>the</strong> characterization <strong>of</strong> novel potential genetic lesion in<br />

primary myeloma tumors.<br />

0698<br />

CYTOGENETIC PATTERNS IN MULTIPLE MYELOMA AFTER A PRECEDING MONOCLONAL<br />

GAMMOPATHY OF UNDETERMINED SIGNIFICANCE (MM POST-MGUS) HAVE DIFFERENT<br />

PROGNOSTIC IMPLICATIONS THAN IN MULTIPLE MYELOMA WITH UNKNOWN PRIOR HIS-<br />

TORY<br />

H. Kaufmann, 1 J. Ackermann, 1 V. Odelga, 1 V. Sagaster, 1 T. Noesslinger, 2<br />

M. Pfeilstoecker, 2 A. Keck, 3 H. Ludwig, 3 H. Gisslinger, 1 U. Jaeger, 1<br />

C. Zielinski, 1 J. Drach1 1 Medical University <strong>of</strong> Vienna, VIENNA; 2 Hanuschspital, Dept. <strong>of</strong> Medicine III,<br />

VIENNA; 3 Wilhelminenspital, VIENNA, Austria<br />

Background. Patients with monoclonal gammopathy <strong>of</strong> undetermined<br />

significance (MGUS) may progress to multiple myeloma (MM) or a related<br />

disorder with a probability <strong>of</strong> 1% per year. However, it is at present<br />

unclear whe<strong>the</strong>r or not MM post-MGUS is biologically and clinically different<br />

from MM developing without a durable MGUS-phase (referred to<br />

as MM with unknown prior history, MM-U). Aims. We studied 41 patients<br />

with MM post-MGUS using interphase FISH to determine <strong>the</strong> cytogenetic<br />

pattern and clinical outcome. Results were compared with cytogenetic<br />

abnormalities found in a reference population <strong>of</strong> 287 patients with MM-<br />

U. Methods. Interphase FISH analysis <strong>of</strong> any 14q-translocation,<br />

t(11;14)(q13;q32), t(4;14)(p16.3;q32), 13q-deletions, 17p-deletions. Results.<br />

In MM post-MGUS, a t(11;14) was found to be more frequent than in<br />

MM-U (24% versus 14%) and it was associated with significantly shortened<br />

survival (24 months versus 70 months in MM-U; p=0.01). MM post-<br />

MGUS was fur<strong>the</strong>r characterized by a higher frequency <strong>of</strong> 13q-deletions<br />

only (absence <strong>of</strong> all o<strong>the</strong>r specific abnormalities; 28% versus 12% in MM-<br />

U; p=0.02). A 13q-deletion only was an indicator <strong>of</strong> long survival in MM<br />

post-MGUS (median not yet reached) as opposed to MM-U (median survival,<br />

29 months; p=0.001). 17p-deletions were infrequent in MM post-<br />

MGUS (3% versus 16% in MM-U; p=0.04). Survival times for patients<br />

with t(4;14) and/or 17p-deletions and o<strong>the</strong>r abnormalities were similar in<br />

both MM patient cohorts. Conclusions. Our data suggest that t(11;14) and<br />

13q-deletions have distinct prognostic implications in <strong>the</strong> context <strong>of</strong> MM<br />

post-MGUS.<br />

0699<br />

REGULATORS OF G1 CYCLIN-DEPENDENT KINASES AND MULTIPLE MYELOMA<br />

M.E. Sarasquete, 1 A. Armellini, 1 R. Garcia Sanz, 1 M.C. Chillon, 1<br />

P. Martin-Jimenez, 1 M. Alcoceba, 1 A. Balanzategui, 1 M. Vargas, 1<br />

M. Fuertes, 2 N.C. Gutierrez, 1 M. Gonzalez, 1 J.F. San Miguel1 1 2 Hospital Universitario de Salamanca, SALAMANCA; Grupo español de Mieloma,<br />

SPAIN, Spain<br />

The current view <strong>of</strong> <strong>the</strong> MM pathogenesis presumes that Cyclin D dysregulation<br />

is <strong>the</strong> early and unifying pathogenic event in this disease. This<br />

would modify <strong>the</strong> cell cycle activity, which would enhance tumor development.<br />

Cyclins D form complex and activate cyclin dependent kinases<br />

4 and/or 6 (CDK4/6). The active complexes help cells to pass from early<br />

to late G1 phase. CDK4/6 is negatively regulated by <strong>the</strong> INK4 family <strong>of</strong><br />

cell cycle inhibitors by preventing cyclin D binding. Inhibitors from <strong>the</strong><br />

Cip/Kip family can also inhibit CDKs. Accordingly, <strong>the</strong> balance between<br />

D cyclins and CDK inhibitors should play a key role in <strong>the</strong> behavior <strong>of</strong> <strong>the</strong><br />

tumor cell clone from which MM emerges. Aims. 1.To evaluate <strong>the</strong> expression<br />

<strong>of</strong> cyclins D (D1, D2 and D3) and CDK4/6 inhibitors (p15, p16, p18,<br />

p19 and p21) by quantitative PCR in tumor plasma cells 2. To determine

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