The current prognostic systems have failed to identify multiple myelom
a (MM) patients who require aggressive therapy. These staging systems
do not reliably distinguish patients with different prognoses. This pa
per explores the possibility of improving the prognostic forecast in M
M by considering some clinical characteristics at diagnosis together w
ith response to first-line chemotherapy. A total of 231 patients were
prospectively randomised in a multicentre trial to no therapy vs melph
alan + prednisone(MP) for stage I, MP in stage II, and MP vs peptichem
io, vincristine and prednisone for stage III. The clinical features of
these groups were evaluated for prognostic variables predictive of ov
erall survival by means of univariate and multivariate analysis. The i
ndependently significant variables were incorporated into a model that
identified three groups of patients with different risks of death and
different overall survival. Three variables retained statistical sign
ificance: the staging system proposed by the British Medical Research
Council, a composite parameter integrating the percentage of bone marr
ow plasma cells with cytological features of the infiltrating elements
(plasma cell vs plasmablast), and response to 6 months of first-line
chemotherapy. These three variables led the proposal of a scoring syst
em able to identify three different risk classes (with median overall
survival of 52, 28 and 13 months respectively) and to estimate individ
ual patient prognosis more flexibly. The proposed risk classes, drawn
from both diagnostic and therapeutic parameters. are thought to be a c
linical and investigational instrument for separating MM patients into
comparable groups, for selecting the best available therapy and for e
valuating response with respect to the disease of each new patient.