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Serum levels of soluble programmed death ligand 1 predict treatment response and progression free survival in multiple myeloma

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机构: [1]Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Guangzhou 510060, Guangdong, Peoples R China [2]Sun Yat Sen Univ, Ctr Canc, Dept Hematol Oncol, Guangzhou 510060, Guangdong, Peoples R China [3]Sun Yat Sen Univ, Ctr Canc, Dept Clin Lab, Guangzhou 510060, Guangdong, Peoples R China
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关键词: STEM-CELL TRANSPLANTATION BORTEZOMIB PLUS DEXAMETHASONE INDUCTION TREATMENT PD-L1 EXPRESSION VINCRISTINE DOXORUBICIN TOLERANCE BLOCKADE THERAPY

摘要:
Immune checkpoint signaling plays an important role in immunosuppression in multiple myeloma (MM). Blood levels of soluble programmed death-ligand 1 (sPD-L1), a checkpoint-relevant protein, might predict treatment response and survival outcomes in MM patients. We used an enzyme-linked immunosorbent assay to measure serum sPD-L1 levels in 81 newly diagnosed MM patients. We found that myeloma patients had higher sPD-L1 concentrations than healthy controls. The best sPD-L1 cutoff value for predicting disease progression risk was 2.783 ng/mL. The overall response rate to treatment was higher in low sPD-L1 patients than in high sPD-L1 patients. The 3-year progression free survival (PFS) and overall survival (OS) rates for all patients were 16% and 64%, respectively. Multivariate survival analysis including Eastern Cooperative Oncology Group performance status score, treatment response, and sPD-L1 level showed that a less than partial treatment response (PR) and higher sPD-L1 levels (>2.783 ng/ml) were independent prognostic factors for shorter PFS; neither factor was predictive of OS. The serum sPD-L1 level is a valuable biomarker for predicting treatment response and an independent prognostic factor for PFS. PD-1/PD-L1 blockade may be a promising novel immune-based therapeutic strategy in MM.

基金:

基金编号: 81272620 81400159 B2014158 12ykpy54 30471976 04190101 2010B031600233 2010A090200019

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出版当年[2014]版:
大类 | 2 区 医学
小类 | 2 区 肿瘤学 3 区 细胞生物学
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出版当年[2013]版:
Q1 ONCOLOGY Q1 CELL BIOLOGY
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影响因子: 最新[2023版] 最新五年平均 出版当年[2013版] 出版当年五年平均 出版前一年[2012版] 出版后一年[2014版]

第一作者:
第一作者机构: [1]Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Guangzhou 510060, Guangdong, Peoples R China [2]Sun Yat Sen Univ, Ctr Canc, Dept Hematol Oncol, Guangzhou 510060, Guangdong, Peoples R China
通讯作者:
通讯机构: [1]Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Guangzhou 510060, Guangdong, Peoples R China [*1]Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Guangzhou 510060, Guangdong, Peoples R China
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