With the emergence of new drugs, the short-term survival rate of multiple myeloma has been significantly increased. However, in clinical treatment, doctors found that different patients may present different clinical efficacy and adverse reactions when using standard treatment. Some studies have shown that gene and metabolic differences in patients with multiple myeloma may be an important factor affecting clinical efficacy. In this project, peripheral blood samples and bone marrow from patients with multiple myeloma will be studied by using the methods of genomics, proteomics, metabonomics and transcriptomics. It is expected to find biomarkers and genes related to clinical efficacy, adverse reactions, and blood concentration of bortezomib in peripheral blood samples. If the sample size is large enough, the project team expects to establish a prediction model for the efficacy and safety of bortezomib containing regimen for multiple myeloma patients through the above studies. Investigators hope that the evaluation system can provide a reference for clinical formulation of appropriate drug delivery scheme.
Study Type
OBSERVATIONAL
Enrollment
350
Objective To observe the safety and efficacy of bortezomib related biomarkers. Including genes, metabolites, etc
Beijng Chao Yang Hospital
Beijing, China
Treatment toxicities:neuritis
Time frame: From registration to December,2022
Confirmed responses: Strictly Complete response, sCR
Time frame: From registration to December,2022
Confirmed responses: Complete response, CR
Time frame: From registration to December,2022
Confirmed responses: Very good partial response, VGPR
Time frame: From registration to December,2022
Confirmed responses: Partial response, PR
Time frame: From registration to December,2022
Confirmed responses: Minimal remission, MR
Time frame: From registration to December,2022
Confirmed responses: Stable disease, SD
Time frame: From registration to December,2022
Progressive disease, PD
Time frame: From registration to December,2022
Progression-free survival
Time frame: From registration to disease progression or date of death from any cause, whichever came first, assessed up to December,2022
Overall survival
Time frame: From registration to death due to any cause, assessed up to December,2022
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