12th Congress of the European Hematology ... - Haematologica
12th Congress of the European Hematology ... - Haematologica
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 />
Chronic lymphocytic leukemia and related<br />
disorders - Biology<br />
0908<br />
EXPRESSION LEVELS OF CLLU1 AND LPL : NEW DISEASE-ASSESSMENT TOOLS IN CLL<br />
PATIENTS IN BINET STAGE A ?<br />
S. Hayette, 1 S. Hayette, 2 C. Bastard, 3 M.J. Mozziconacci, 4<br />
C. Messana, 2 C. Charlot, 2 C. Locher, 2 M. Gadoux, 2 L. Baseggio, 2<br />
M. Ticchioni, 5 B. Lenormand, 3 G. Salles, 2 C. Arnoulet, 4 J.P. Magaud, 2<br />
E. Callet-Bauchu, 2 S. Raynaud 5<br />
1 Centre Hospitalier Lyon Sud, PIERRE BENITE; 2 <strong>Hematology</strong>/UMR 5239<br />
CNRS/CHLS, PIERRE BENITE; 3 <strong>Hematology</strong>, CR de lutte contre le cancer,<br />
ROUEN; 4 Biopathology laboratory, IPC, MARSEILLE; 5 Oncohematology<br />
/Hopital Pasteur, NICE, France<br />
Background. IGVH mutational status is a strong predictor for outcome<br />
in Chronic Lymphocytic Leukemia (CLL) but its determination remains<br />
unadapted to routine practice. Several reports have shown that <strong>the</strong><br />
expression levels <strong>of</strong> o<strong>the</strong>r genes (such as LPL) could be used as surrogate<br />
markers. Recently Buhl et al. identified a novel gene (CLLU1),<br />
exclusively upregulated in CLL cells, and whose high expression mRNA<br />
levels could predict poor clinical outcome in patients younger than 70<br />
years. Methods. Non-purified peripheral blood mononuclear cells from<br />
a cohort <strong>of</strong> 177 untreated Binet stage A-CLL patients from 4 centers<br />
were examined for CLLU1 transcripts (cDNA1) and LPL expression levels<br />
by real time quantitative PCR and compared to <strong>the</strong> same pool <strong>of</strong><br />
purified B cells from healthy individual donors (n=3). We correlated<br />
<strong>the</strong> results with <strong>the</strong> previously determined IGVH mutational status<br />
(MT: mutated; UNM: unmutated), expression <strong>of</strong> ZAP70, chromosomal<br />
aberrations and clinical characteristics. Results. The selected cohort<br />
included 61% <strong>of</strong> male and median age at diagnosis was 67 (38-90) years.<br />
With a cut-<strong>of</strong>f value arbitrary defined as 1 for <strong>the</strong> CLLU1/β2M and for<br />
<strong>the</strong> LPL/β2M ratios from <strong>the</strong> control pool, <strong>the</strong> median level <strong>of</strong> up-regulation<br />
<strong>of</strong> CLLU1 and LPL expressions were 12,2 and 54 fold above <strong>the</strong><br />
level found in normal B cells, respectively. This level was not surprisingly<br />
lower than previously described for CLLU1 (27 fold) since our<br />
cohort included only stage A patients. Expression levels <strong>of</strong> CLLU1 and<br />
LPL were significantly associated with <strong>the</strong> IGVH mutational status<br />
[median values: 9.4 and 21 in MT (n=129) versus (vs) 173 and 886 in UM<br />
(n=43) (p=0.0000 for <strong>the</strong> two genes) , with ZAP70 expression [median:<br />
86 and 631 in ZAP + cases (n=47) vs 6,5 and 22,6 in ZAP – cases (n=96)<br />
(p=0.0012 and p=0.0000), respectively] and with poor prognosis cytogenetic<br />
markers such as del17p (p=0.012 and p=0.0018) and del11q<br />
(p=0.00019 andp=0.00003). CLLU1 and LPL expression level was in an<br />
unexpected way (and more significantly for LPL) associated with <strong>the</strong><br />
presence <strong>of</strong> trisomy 12 (p=0.016 and p=0.00096). A slight correlation<br />
was found between <strong>the</strong> young patient age at diagnosis and CLLU1<br />
(p=0.02), between LPL expression and male gender (p=0.001) and<br />
between LPL and CLLU1 (p=0.0041). Conclusions. Our study demonstrates<br />
in a large cohort <strong>of</strong> recently diagnosed stage A CLL patients that<br />
CLLU1 and LPL mRNA quantifications 1/ are good surrogate markers<br />
<strong>of</strong> usual prognosis leukaemia-cell parameters, 2/ represent a reliable<br />
alternative to IGVH genes sequencing. Moreover, <strong>the</strong>se quantifications<br />
do not require purification <strong>of</strong> B lymphocytes, a significant advantage for<br />
routine practice. CLLU1 and LPL mRNAs levels could <strong>the</strong>n be considered<br />
as new disease-assessment tools in CLL. Follow up <strong>of</strong> our patients<br />
will determine if <strong>the</strong>se new parameters add independent prognostic<br />
information to <strong>the</strong> definitions <strong>of</strong> smoldering and nonsmoldering CLL<br />
in Binet stage A.<br />
0909<br />
QUANTITATIVE GENE EXPRESSION ANALYSIS OF SURROGATE MARKERS FOR GENETIC<br />
RISK GROUPS AND SURVIVAL IN CLL<br />
D.K. Kienle, 1 A. Benner, 2 C.S. Schneider, 1 D.W. Winkler, 1<br />
A.H. Habermann, 1 M.H. Hensel, 3 P. Lichter, 4 R.D. Dalla-Favera, 5<br />
H. Döhner, 1 S. Stilgenbauer1 1 University <strong>of</strong> Ulm, ULM, Germany; 2 Central Unit Biostatistics, DKFZ, HEI-<br />
DELBERG, Germany; 3 University <strong>of</strong> Heidelberg, HEIDELBERG, Germany;<br />
4 Department <strong>of</strong> Molecular Genetics, DKFZ, HEIDELBERG, Germany;<br />
5 Columbia University, NEW YORK, USA<br />
Background. The genetic factors VH mutation status, V3-21 gene usage,<br />
and genomic deletions at 11q22-q23 and 17p13 have been shown to be<br />
important prognostic markers in CLL. Given <strong>the</strong> high complexity <strong>of</strong> <strong>the</strong>se<br />
340 | haematologica/<strong>the</strong> hematology journal | 2007; 92(s1)<br />
analyses in <strong>the</strong> recent years several molecular surrogate markers were<br />
developed aiming at <strong>the</strong> facilitation <strong>of</strong> routine prognosis assessment.<br />
Aims: To assess <strong>the</strong> value <strong>of</strong> potential surrogate markers for <strong>the</strong> prediction<br />
<strong>of</strong> genetic risk groups and survival. Methods: Real-time RT-PCR (RQ-<br />
PCR) <strong>of</strong> candidate genes was performed in a CD19-purified and a nonpurified<br />
CLL cohort each comprising <strong>the</strong> relevant genetic subgroups (VH<br />
mutated, VH unmutated, V3-21 usage, 11q-, 17p-). 17 markers<br />
(ADAM29, ATM, CLLU1, DMD, GLO1, HS1, KIAA0977, LPL,<br />
MGC9913, PCDH9, PEG10, SEPT10, TCF7, TP53, Vimentin, ZAP-70,<br />
ZNF2) identified in previous studies were investigated in <strong>the</strong> non-purified<br />
cohort <strong>of</strong> 102 CLL patients. Of <strong>the</strong>se, 10 markers, ei<strong>the</strong>r with an<br />
overexpression in non-CLL cells or an impact on survival or risk group<br />
prediction, were analyzed in <strong>the</strong> purified cohort <strong>of</strong> 112 cases. VH<br />
sequencing and FISH screening for genomic aberrations were carried out<br />
for all cases. Survival information was available for 80 (purified) and 88<br />
cases (non-purified). Logistic regression was performed to test <strong>the</strong> predictive<br />
value <strong>of</strong> gene expression for genetic risk groups, Cox proportional<br />
hazards statistics for survival analysis. Results. The genetic risk groups in<br />
both cohorts showed <strong>the</strong> expected correlation with survival with significantly<br />
shorter survival <strong>of</strong> VH unmutated, 17p-, and 11q- cases indicating<br />
a representative composition <strong>of</strong> <strong>the</strong> cohorts under study. In non-purified<br />
cases, <strong>the</strong> best predictive marker for VH status was LPL (p=0.001).<br />
While no reliable predictive markers were identified for V3-21 usage or<br />
17p-, lower ATM expression was predictive for 11q-. In survival analysis<br />
including all candidate genes TCF7 (p=0.001) and KIA0977 (p=0.016)<br />
were <strong>of</strong> prognostic value. In multivariate survival analysis including candidate<br />
gene expression and <strong>the</strong> genetic risk factors as variables, only 17premained<br />
as a significant parameter. In <strong>the</strong> purified cohort, significant<br />
markers (p