Cancer Research in Switzerland - Krebsliga Schweiz
Cancer Research in Switzerland - Krebsliga Schweiz
Cancer Research in Switzerland - Krebsliga Schweiz
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Regard<strong>in</strong>g new genes, <strong>in</strong> collaboration with Riccardo<br />
Dalla Favera’s group <strong>in</strong> New York we identified the tumour<br />
suppressor gene TNFAIP3/A20, an <strong>in</strong>hibitor of the NFkB<br />
pathway, as be<strong>in</strong>g frequently deleted and mutated, especially<br />
<strong>in</strong> MALT lymphomas (Novak et al., Blood 2009).<br />
We also studied the relationship between immunogenetics<br />
and genomic lesions <strong>in</strong> splenic MZL (R<strong>in</strong>aldi et al., British<br />
Journal of Haematology 2010). Splenic MZL express<br />
mutated (M-) or unmutated (U-) immunoglobul<strong>in</strong> heavy<br />
cha<strong>in</strong> (IGHV) genes. We comb<strong>in</strong>ed SNP arrays and IGHV<br />
sequenc<strong>in</strong>g <strong>in</strong> 83 cases. Cl<strong>in</strong>ical features and outcome<br />
were similar between U- and M-IGHV cases. Recurrent lesions<br />
frequency was higher <strong>in</strong> U-IGHV cases, <strong>in</strong>clud<strong>in</strong>g<br />
poor prognosticators. Frequencies differed among cases<br />
bear<strong>in</strong>g <strong>in</strong>dividual VH genes or lambda light cha<strong>in</strong>s. We<br />
also studied the role of antigen stimulation <strong>in</strong> splenic<br />
MZL (Zibell<strong>in</strong>i et al., Haematologica 2010). The occurrence<br />
of stereotyped B-cell receptors was <strong>in</strong>vestigated <strong>in</strong><br />
133 SMZL (26 HCV + ) and compared with 4,414 HCDR3<br />
sequences from public databases. Sixteen SMZL (12 %)<br />
showed stereotyped BCR; 8 % of SMZL sequences<br />
retrieved from public databases also belonged to stereotyped<br />
HCDR3 subsets. Three categories of subsets were<br />
identified: 1) “SMZL-specific subsets”; 2) “Non-Hodgk<strong>in</strong>’s<br />
lymphoma-like subsets”; and 3) “CLL-like subsets”.<br />
Immunoglobul<strong>in</strong> 3D modell<strong>in</strong>g of 3 subsets revealed similarities<br />
<strong>in</strong> antigen b<strong>in</strong>d<strong>in</strong>g regions not limited to HCDR3.<br />
Conclusions<br />
We identified the different patterns of genomic aberrations<br />
<strong>in</strong> MZLs, thus aid<strong>in</strong>g differential diagnosis. We identified<br />
a lesion predict<strong>in</strong>g a poor outcome <strong>in</strong> splenic MZLs,<br />
which could be useful to better manage patients. Also, we<br />
identified a new gene strengthen<strong>in</strong>g the NFkB pathway as<br />
an important therapeutic target for these patients. Splenic<br />
MZLs present dist<strong>in</strong>ctive features <strong>in</strong> terms of immunogenetics.<br />
Additional studies are ongo<strong>in</strong>g, and data will be reported<br />
<strong>in</strong> the future.<br />
Project coord<strong>in</strong>ator<br />
Dr. Francesco Bertoni<br />
Laboratorio di oncologia sperimentale<br />
Istituto oncologico della Svizzera italiana (IOSI)<br />
Via V<strong>in</strong>cenzo Vela 6<br />
CH-6500 Bell<strong>in</strong>zona<br />
Phone +41 (0)91 820 03 67<br />
Fax +41 (0)91 820 03 97<br />
frbertoni@mac.com<br />
Bohlius Julia | Individual patient data meta-analysis<br />
on the effects of erythropoiesis-stimulat<strong>in</strong>g agents <strong>in</strong><br />
cancer patients (OCS 02146-10-2007)<br />
Patients with cancer have an <strong>in</strong>creased risk for anaemia,<br />
which may negatively impact their quality of life (QoL).<br />
Erythropoiesis-stimulat<strong>in</strong>g agents (ESAs) reduce anaemia<br />
<strong>in</strong> cancer patients and may improve QoL, but there are<br />
concerns that ESAs might <strong>in</strong>crease mortality.<br />
Study aim<br />
We collected patient data from randomised controlled trials<br />
to evaluate the effect of ESA on mortality and survival<br />
<strong>in</strong> patients with cancer and to identify subgroups of patients<br />
that may benefit from ESAs.<br />
Methods<br />
We identified randomised controlled trials compar<strong>in</strong>g<br />
epoet<strong>in</strong> alfa, epoet<strong>in</strong> beta or darbepoet<strong>in</strong> alfa plus red<br />
blood cell transfusions versus transfusion alone, for<br />
prophylaxis or therapy of anaemia <strong>in</strong> patients with cancer<br />
receiv<strong>in</strong>g chemotherapy, radiotherapy or no anticancer<br />
therapy. Study <strong>in</strong>vestigators from eligible trials were <strong>in</strong>vited<br />
to collaborate and submit raw data of their studies.<br />
Ma<strong>in</strong> analyses were def<strong>in</strong>ed <strong>in</strong> a peer-reviewed protocol<br />
and a statistical analysis plan. A steer<strong>in</strong>g committee consist<strong>in</strong>g<br />
of cl<strong>in</strong>icians and methodologists reviewed results<br />
and agreed on their <strong>in</strong>terpretation. The raw patient-level<br />
data were meta-analyzed by <strong>in</strong>dependent statisticians at<br />
two academic departments, us<strong>in</strong>g fixed-effects and random-effects<br />
meta-analysis. Primary endpo<strong>in</strong>ts were onstudy<br />
mortality, def<strong>in</strong>ed as duration of ESA study plus 1<br />
month follow-up, and overall survival, def<strong>in</strong>ed as the<br />
longest follow-up available. Analyses were conducted<br />
separately for all patients with cancer regardless of anticancer<br />
therapy and for patients receiv<strong>in</strong>g chemotherapy.<br />
Tests for <strong>in</strong>teractions were used to identify differences <strong>in</strong><br />
effects of ESAs on mortality and survival for pre-specified<br />
subgroups.<br />
F<strong>in</strong>d<strong>in</strong>gs<br />
A total of 13,933 patients with cancer from 53 trials were<br />
analyzed: 10,411 patients were scheduled to receive<br />
chemotherapy, 799 radiotherapy, and 737 radiotherapy<br />
comb<strong>in</strong>ed with chemotherapy. 1,690 patients received no<br />
anticancer treatment dur<strong>in</strong>g the ESA study, and 266 received<br />
other treatment modalities. 1,530 patients died on<br />
study and 4,993 overall. Includ<strong>in</strong>g all patients with cancer<br />
regardless of anticancer therapy, ESAs <strong>in</strong>creased on-study<br />
mortality (hazard ratio [HR] 1.17; 95 % confidence <strong>in</strong>terval<br />
[CI] 1.06–1.30) and worsened overall survival (HR<br />
1.06; 95 % CI 1.00–1.12), with little heterogeneity between<br />
trials (I 2 0 %, p=0.87 and I 2 7.1 %, p=0.33, respectively).<br />
Restrict<strong>in</strong>g the analysis to patients receiv<strong>in</strong>g chemotherapy,<br />
the HR for on-study mortality was 1.10 (95 %<br />
CI 0.98–1.24) and 1.04 (95 % CI 0.97–1.11) for overall<br />
survival. There was little evidence of a difference between<br />
trials of patients receiv<strong>in</strong>g different cancer treatments (p<br />
for <strong>in</strong>teraction=0.42).<br />
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