About this trial
The goal of this study is to find markers that may help to predict why some patients who have monoclonal gammopathy of unknown significance (MGUS) or smoldering multiple myeloma (SMM) that have no signs or symptoms of disease (asymptomatic) develop multiple myeloma, while others do not. Studying markers such as age, level of proteins in blood, percent of abnormal blood cells in the bone marrow, genes in the abnormal blood cells, and bone abnormalities may help researchers to validate clinical and genomic predictors for future use in clinical practice.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Serum monoclonal protein < 3 g/dL or urinary monoclonal protein < 500 mg per 24 hours and clonal bone marrow plasma cells < 10%
Absence of myeloma defining events or amyloidosis
Serum monoclonal protein >= 3 g/dL or urinary monoclonal protein >= 500 mg per 24 hours and/or clonal bone marrow plasma cells 10-60%
Absence of myeloma defining events or amyloidosis
Disqualifiers
Evidence of myeloma defining events or biomarkers of malignancy due to underlying plasma cell proliferative disorder meeting at least one of the following
Hypercalcemia: serum calcium > 0.25 mmol/L (> 1 mg/dL) higher than the upper limit of normal or > 2.75 mmol/L (> 11 mg/dL)
Renal Insufficiency: creatinine clearance < 40 ml/min or serum creatinine > 2 mg/dL
Anemia: hemoglobin value < 10 g/dL or 2 g/dL < normal reference
Trial population
Patients with monoclonal gammopathy of unknown significance and/or smoldering multiple myeloma
Trial design
Cohort
Prospective
Treatments tested in this trial
Biospecimen Collection
Procedure/SurgeryUndergo collection of blood samples
Laboratory Biomarker Analysis
Other interventionCorrelative studies
Treatment groups
Trial outcomes
Primary outcomes
Rate of progression to multiple myeloma (MM)
Kaplan-Meier method will be used to estimate time to MM progression. Log-rank test will be used to evaluate the difference in rate of progression between/among patient groups.
Progression free survival
Will be estimated using the Kaplan-Meier method. Log-rank test will be used to evaluate the difference in rate of progression free survival between/among patient groups.
Overall survival
Will be estimated using the Kaplan-Meier method. Log-rank test will be used to evaluate the difference in rate of overall survival between/among patient groups.
Secondary outcomes
Baseline patient characteristics and clinical variables
Summary statistics including mean, standard deviation, median, and range will be provided for continuous variables. Frequency counts and percentages will be used to summarize categorical variables.
Molecular and genetic profile analysis
Will study the correlation of molecular and genetic profiles with time to MM progression.
Other outcomes
Molecular profiling analysis of patients who develop MM
Analysis will include whole exome sequencing and gene expression profiling and cellular (including flow cytometry) profiling using bone marrow and peripheral blood samples.
Immune characterization of patients who develop MM
Analysis will include cell surface and functional studies of dendritic, T-, B-, natural killer (NK)- and NKT-cells using peripheral blood samples.
Immune characterization of patients who develop MM
Analysis will include cell surface and functional studies of dendritic, T-, B-, NK- and NKT-cells using bone marrow samples.
Sponsors and contacts
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M.D. Anderson Cancer Center
Lead sponsor
National Cancer Institute (NCI)
Collaborator