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Epunamin Combined With DECP for Relapsed/Refractory Multiple Myeloma

Shanxi Bethune Hospital · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
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multiple-myeloma
Background: Multiple Myeloma remains an incurable hematologic malignancy, and outcomes for relapsed/refractory multiple myeloma (RRMM) remain unsatisfactory despite advances in therapy. This study aims to evaluate the efficacy and safety of Epunamin combined with a DECP-based regimen in a real-world clinical setting. Methods: This multicenter, single-arm, real-world observational study will enroll 48 patients aged 18-75 years with RRMM diagnosed according to revised IMWG criteria who have received at least one prior systemic treatment. Eligible patients must have an ECOG performance status of 0-3, adequate treatment compliance, and written informed consent. Key exclusion criteria include severe cardiac, pulmonary, hepatic, or renal dysfunction; unresolved prior treatment toxicity above grade 1; grade ≥2 peripheral neuropathy or grade 1 with pain; severe infection within 14 days; plasma cell leukemia; psychiatric disorders affecting compliance; pregnancy or lactation; recent other malignancies; hypersensitivity to study drugs; HIV infection; participation in another clinical trial within 30 days; or any condition deemed unsuitable by investigators. Endpoints: The primary endpoint is overall response rate (ORR) after four treatment cycles. Secondary endpoints include very good partial response (VGPR), complete response (CR), stringent complete response (sCR), minimal residual disease (MRD), duration of response (DOR), and time to next treatment (TTNT), assessed according to revised IMWG criteria. Statistical Analysis: Continuous variables will be summarized using mean, median, standard deviation, minimum, and maximum values. Normally distributed data will be analyzed using Student's t-test or ANOVA, while non-normally distributed data will use rank-sum tests. Categorical variables will be analyzed using chi-square or Fisher's exact tests, and ordinal variables by Ridit analysis or nonparametric tests. Survival outcomes including progression-free survival (PFS)
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