Microfluidic enrichment of plasma cells improves treatment of multiple myeloma.
Microfluidic enrichment of plasma cells improves treatment of multiple myeloma.
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浆细胞的微流体富集改善了多发性骨髓瘤的治疗
DOI:
10.1002/1878-0261.12201
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发表时间:
2018-06
影响因子:
6.6
通讯作者:
Zhong JF
中科院分区:
文献类型:
--
作者:
Zeng Y;Gao L;Luo X;Chen Y;Kabeer MH;Chen X;Stucky A;Loudon WG;Li SC;Zhang X;Zhong JF
Cytogenetic alterations form the basis for risk stratification for multiple myeloma (MM) and guide the selection of therapy; however, current pathology assays performed on bone marrow samples can produce false‐negatives due to the unpredictable distribution and rarity of MM cells. Here, we report on a microfluidic device used to facilitate CD45 depletion to enhance the detection of cytogenetic alterations in plasma cells (PCs). Bone marrow samples from 48 patients with MM were each divided into two aliquots. One aliquot was subjected to classic flow cytometry and fluorescent in situ hybridization (FISH). The other first went through CD45+ cell depletion, further enriched by microfluidic size selection. The enriched samples were then analyzed using flow cytometry and FISH and compared to those analyzed using the classic method only. Unlike the traditional method, the microfluidic device removed the CD45+ leukocytes and specifically selected PCs from the remaining white blood cells. Therefore, the microfluidic method (MF‐CD45‐TACs) significantly increased the percentage of CD38+/CD138+ cells to 37.7 ± 20.4% (P < 0.001) from 10.3 ± 8.5% in bone marrow. After the MF‐CD45‐TAC enrichment, the detection rate of IgH rearrangement, del(13q14), del(17p), and 1q21 gains, rose to 56.3% (P < 0.001), 37.5% (P < 0.001), 22.9% (P < 0.001), and 41.7% (P = 0.001), respectively; all rates of detection were significantly increased compared to the classically analyzed samples. In this clinical trial, this microfluidic‐assisted assay provided a precise detection of cytogenetic alterations in PCs and improved clinical outcomes.
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影响因子:
2.7
作者:
Gonsalves WI;Timm MM;Rajkumar SV;Morice WG;Dispenzieri A;Buadi FK;Lacy MQ;Dingli D;Leung N;Kapoor P;Kyle RA;Gertz MA;Kumar SK
通讯作者:
Kumar SK
影响因子:
8.9
作者:
Kapoor, Prashant;Fonseca, Rafael;Kumar, Shaji
通讯作者:
Kumar, Shaji
影响因子:
5.2
作者:
Kawano Y;Fujiwara S;Wada N;Izaki M;Yuki H;Okuno Y;Iyama K;Yamasaki H;Sakai A;Mitsuya H;Hata H
通讯作者:
Hata H
影响因子:
11.4
作者:
通讯作者:
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影响因子:
8.9
作者:
Mikhael, Joseph R.;Dingli, David;Lacy, Martha Q.
通讯作者:
Lacy, Martha Q.