Prognostic Analyses on a Validation Series of Patients With Waldenström's Disease

Waldenström's macroglobulinemia (WM) is defined by the association of bone marrow lymphoplasmocytic infiltration and monoclonal immunoglobulin M (IgM). A mutation in the MYD88 gene is found in up to 90% of patients, and a mutation in the CXCR4 gene in approximately one third of patients. Treatment should be initiated in cases of cytopenia, bulky disease or when the physicochemical or immunological properties of IgM explain the occurrence of amyloidosis, cryoglobulin, neurological manifestations, or hyperviscosity syndrome (due to the presence of a large amount of IgM). However, approximately 30% of patients are diagnosed without any symptom and therefore they do not meet the criteria for initiating treatment.

The prognosis of asymptomatic patients can be estimated with a prognostic index based on serum albumin, β2-microglobulin, the monoclonal component concentration and the bone marrow infiltration. Prognostic assessment of these patients could be improved by taking into account prior the free light chain concentrations and the molecular characteristics of the disease.

At the time of initiation of the first treatment, the prognosis is usually estimated with the International Prognostic Index (IPSSWM) which is based on five variables: age, platelet count, haemoglobin concentrations, β2-microglobulin and monoclonal component concentration. Serum albumin and LDH levels also retain a prognostic role and these two characteristics have been incorporated in a proposal for a revision of this index.

Thus improving prognostic assessment in patients with WM may rest on the following strategies:

• Modifying the variables to be considered before treatment initiation, particularly by considering albumin and lactate dehydrogenase concentrations or molecular characteristics of the disease in symptomatic patients, free-light chain concentration in asymptomatic patients and molecular abnormalities in both categories of patients.

• Evaluating the prognostic impact of events occurring during the course of treatment, such as response or progression in symptomatic patients.

Improving prognostic assessment at the time of the first treatment initiation and taking into account the prognostic impact of events occurring in the course of evolution, should improve the strength of treatment decision at the time of initial treatment and during the follow-up. It should also help to design clinical trial for fast and effective evaluation of new treatments. Our work should also help to adjust clinical monitoring of asymptomatic patients.

Two large subgroups of patients properly included with validated information and updated follow-up will be considered, namely: symptomatic and asymptomatic patients. This project is based on the assumption that it should be possible for each of these two cohorts to:

1. validate a new prognostic system and compare its performance with previous systems

2. to participate in a large international study of the validity of a surrogate endpoint of survival after initiation of the 1st treatment