Determining therapeutic susceptibility in multiple myeloma by single-cell mass accumulation.
Determining therapeutic susceptibility in multiple myeloma by single-cell mass accumulation.
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DOI：
10.1038/s41467-017-01593-2
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发表时间：
2017-11-20
影响因子：
16.6
通讯作者：
Manalis SR
中科院分区：
文献类型：
--
作者：
Cetin AE;Stevens MM;Calistri NL;Fulciniti M;Olcum S;Kimmerling RJ;Munshi NC;Manalis SR
多发性骨髓瘤(MM)受益于治疗的显著进步，这些进步改善了结果，降低了发病率。然而，这种疾病仍然无法治愈，其特点是高耐药率和复发率。因此，如何选择最有效的治疗方法引起了人们的极大兴趣。在这里，我们利用一种功能分析来评估单个多发性骨髓瘤细胞的体外药物敏感性，其基础是测量其质量积累率(MAR)。我们表明，MAR准确而快速地定义了人类多发性骨髓瘤细胞系对一系列标准护理疗法的治疗敏感性。最后，我们证明了我们的MAR试验，不需要扩大体外培养，根据他们的临床诊断正确地确定了9名患者对标准护理药物的反应。这一数据突出了MAR分析在研究和临床应用中作为一种使用临床样本预测治疗反应的有前途的工具。多发性骨髓瘤的特点是高耐药率和复发率。在这里，作者利用一种功能分析来评估单个多发性骨髓瘤细胞的体外药物敏感性，其基础是测量单个细胞的质量积累率。
Multiple myeloma (MM) has benefited from significant advancements in treatment that have improved outcomes and reduced morbidity. However, the disease remains incurable and is characterized by high rates of drug resistance and relapse. Consequently, methods to select the most efficacious therapy are of great interest. Here we utilize a functional assay to assess the ex vivo drug sensitivity of single multiple myeloma cells based on measuring their mass accumulation rate (MAR). We show that MAR accurately and rapidly defines therapeutic susceptibility across human multiple myeloma cell lines to a gamut of standard-of-care therapies. Finally, we demonstrate that our MAR assay, without the need for extended culture ex vivo, correctly defines the response of nine patients to standard-of-care drugs according to their clinical diagnoses. This data highlights the MAR assay in both research and clinical applications as a promising tool for predicting therapeutic response using clinical samples. Multiple myeloma is characterized by high rates of drug resistance and relapse. Here the authors utilize a functional assay to assess the ex vivo drug sensitivity of single multiple myeloma cells based on measuring the mass accumulation rate of individual cells.
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影响因子：
48
作者：
Godin, Michel;Delgado, Francisco Feijo;Son, Sungmin;Grover, William H.;Bryan, Andrea K.;Tzur, Amit;Jorgensen, Paul;Payer, Kris;Grossman, Alan D.;Kirschner, Marc W.;Manalis, Scott R.
通讯作者：
Manalis, Scott R.
影响因子：
28.2
作者：
Francis JM;Zhang CZ;Maire CL;Jung J;Manzo VE;Adalsteinsson VA;Homer H;Haidar S;Blumenstiel B;Pedamallu CS;Ligon AH;Love JC;Meyerson M;Ligon KL
通讯作者：
Ligon KL
影响因子：
158.5
作者：
Lonial, Sagar;Dimopoulos, Meletios;Richardson, Paul
通讯作者：
Richardson, Paul
影响因子：
6.1
作者：
Lee, J.;Chunara, R.;Manalis, S. R.
通讯作者：
Manalis, S. R.
影响因子：
46.9
作者：
Bandara, LR;Girling, R;LaThangue, NB
通讯作者：
LaThangue, NB