Flow cytometric disease monitoring in multiple myeloma: the relationship between normal and neoplastic plasma cells predicts outcome after transplantation
- 1 November 2002
- journal article
- research article
- Published by American Society of Hematology in Blood
- Vol. 100 (9) , 3095-3100
- https://doi.org/10.1182/blood-2001-12-0297
Abstract
Conventional monitoring strategies for myeloma are not sufficiently sensitive to identify patients likely to benefit from further therapy immediately after transplantation. We have used a sensitive flow cytometry assay that quantitates normal and neoplastic plasma cells to monitor the bone marrow of 45 patients undergoing high-dose chemotherapy. Neoplastic plasma cells were detectable at 3 months after transplantation in 42% of patients. Once detected, neoplastic cell levels increased steadily until clinical progression: these patients had a significantly shorter progression-free survival (PFS) (median, 20 months) than those with no detectable disease (median, longer than 35 months; P = .003). Neoplastic plasma cells were detectable in 27% (9 of 33) of immunofixation-negative complete-remission patients. These patients had a significantly shorter PFS than immunofixation-negative patients with no detectable neoplastic plasma cells (P = .04). Normal plasma cells were present in 89% of patients immediately after transplantation, but were not sustained in most cases. Patients with only normal phenotype plasma cells present at 3 months after transplantation and also at second assessment had a low risk of disease progression. Patients with neoplastic plasma cells present at 3 months after transplantation, or with only normal plasma cells present at first assessment and only neoplastic plasma cells at second assessment, had a significantly higher risk of early disease progression (P < .0001) with a 5-year survival of 54% for the high-risk group, compared with 100% in the low-risk group (P = .036). Analysis of normal and neoplastic plasma cell levels is more sensitive than immunofixation and can identify which patients may benefit from additional treatment strategies at an early stage after transplantation.Keywords
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