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免疫标志物变化与多发性骨髓瘤风险:使用重复的预诊断血液样本进行的巢式病例对照研究。

Immune marker changes and risk of multiple myeloma: a nested case-control study using repeated pre-diagnostic blood samples.

机构信息

Department of Radiation Sciences, Oncology, Umeå University, Sweden

Department of Radiation Sciences, Oncology, Umeå University, Sweden.

出版信息

Haematologica. 2019 Dec;104(12):2456-2464. doi: 10.3324/haematol.2019.216895. Epub 2019 Apr 4.

DOI:10.3324/haematol.2019.216895
PMID:30948485
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6959165/
Abstract

Biomarkers reliably predicting progression to multiple myeloma (MM) are lacking. Myeloma risk has been associated with low blood levels of monocyte chemotactic protein-3 (MCP-3), macrophage inflammatory protein-1 alpha (MIP-1α), vascular endothelial growth factor (VEGF), fibroblast growth factor-2 (FGF-2), fractalkine, and transforming growth factor-alpha (TGF-α). In this study, we aimed to replicate these findings and study the individual dynamics of each marker in a prospective longitudinal cohort, thereby examining their potential as markers of myeloma progression. For this purpose, we identified 65 myeloma cases and 65 matched cancer-free controls each with two donated blood samples within the Northern Sweden Health and Disease Study. The first and repeated samples from myeloma cases were donated at a median 13 and 4 years, respectively, before the myeloma was diagnosed. Known risk factors for progression were determined by protein-, and immunofixation electrophoresis, and free light chain assays. We observed lower levels of MCP-3, VEGF, FGF-2, and TGF-α in myeloma patients than in controls, consistent with previous data. We also observed that these markers decreased among future myeloma patients while remaining stable in controls. Decreasing trajectories were noted for TGF-α (=2.5 × 10) indicating progression to MM. Investigating this, we found that low levels of TGF-α assessed at the time of the repeated sample were independently associated with risk of progression in a multivariable model (hazard ratio = 3.5; =0.003). TGF-α can potentially improve early detection of MM.

摘要

可靠预测多发性骨髓瘤(MM)进展的生物标志物仍然缺乏。骨髓瘤风险与单核细胞趋化蛋白-3(MCP-3)、巨噬细胞炎性蛋白-1α(MIP-1α)、血管内皮生长因子(VEGF)、成纤维细胞生长因子-2(FGF-2)、 fractalkine 和转化生长因子-α(TGF-α)的低血液水平相关。在这项研究中,我们旨在复制这些发现,并在一个前瞻性纵向队列中研究每个标志物的个体动态,从而研究它们作为骨髓瘤进展标志物的潜力。为此,我们在瑞典北部健康和疾病研究中确定了 65 例骨髓瘤病例和 65 例匹配的无癌症对照者,每个个体都有两次捐献的血液样本。骨髓瘤病例的第一次和重复样本分别在骨髓瘤确诊前的中位数 13 年和 4 年内捐献。通过蛋白质电泳、免疫电泳和游离轻链测定来确定已知的进展风险因素。我们观察到骨髓瘤患者的 MCP-3、VEGF、FGF-2 和 TGF-α水平低于对照组,这与先前的数据一致。我们还观察到,这些标志物在未来的骨髓瘤患者中下降,而在对照组中保持稳定。TGF-α的下降轨迹(=2.5×10)表明进展为 MM。进一步研究发现,在重复样本时评估的低水平 TGF-α在多变量模型中与进展风险独立相关(风险比=3.5;=0.003)。TGF-α可能有助于早期检测 MM。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/961eb81f7304/1042456.fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/738d2be6a046/1042456.fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/c40d4e265ced/1042456.fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/a069763981e2/1042456.fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/961eb81f7304/1042456.fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/738d2be6a046/1042456.fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/c40d4e265ced/1042456.fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/a069763981e2/1042456.fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a122/6959165/961eb81f7304/1042456.fig4.jpg

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