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Acute phase proteins and prognosis in multiple myeloma
G Merlini1, V Perfetti, P G Gobbi
1Istituto di Clinica Medica II, University of Pavia, Italy.
British Journal of Haematology
|April 1, 1993
Summary
Serum alpha-1-antitrypsin (s.AAT) and C-reactive protein (s.CRP) levels correlate with survival in myeloma patients. Combining s.AAT with serum beta-2-microglobulin (s.b2M) effectively stratifies patients by prognosis.
Area of Science:
- Biochemistry
- Oncology
- Immunology
Background:
- Interleukin-6 (IL-6) influences disease severity and prognosis in plasma cell dyscrasias.
- IL-6 is a key regulator of the human acute phase response.
- Serum acute phase proteins (s.APP) may impact survival in multiple myeloma.
Purpose of the Study:
- To assess the impact of major serum acute phase proteins (s.APP) on survival in previously untreated myeloma patients.
- To identify prognostic biomarkers for multiple myeloma.
- To stratify patients based on survival predictions.
Main Methods:
- Univariate and multivariate Cox proportional hazard models were used.
- Analysis included 103 consecutive, previously untreated myeloma patients.
- Evaluated serum levels of C-reactive protein (s.CRP), alpha-1-antitrypsin (s.AAT), haptoglobin, acid alpha-1-glycoprotein, and alpha-2-macroglobulin (control).
Main Results:
- Univariate analysis revealed s.AAT and s.CRP significantly correlated with survival.
- Multivariate analysis identified s.beta-2-microglobulin (s.b2M), s.calcium, s.creatinine, BM plasma cell percentage, age, and s.AAT as significant survival predictors.
- Combining s.b2M and s.AAT levels stratified patients: low levels (< or = 3 mg/l and < or = 3 g/l, respectively) had excellent prognosis (median survival >10 years), while high levels had a median survival of 2.5 years.
Conclusions:
- Serum alpha-1-antitrypsin (s.AAT) is a significant prognostic biomarker in multiple myeloma.
- A combination of s.beta-2-microglobulin (s.b2M) and s.AAT provides effective risk stratification for myeloma patients.
- These biomarkers can aid in predicting survival outcomes and guiding treatment strategies.