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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 />

129

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