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新型高通量体外药敏检测技术在复发难治性急性髓系白血病患者个体化用药中的应用

吴海兵, 赵晓燕, 沈明芳, 黄瑞, 陈程, 任涛, 沈旸

吴海兵, 赵晓燕, 沈明芳, 黄瑞, 陈程, 任涛, 沈旸. 新型高通量体外药敏检测技术在复发难治性急性髓系白血病患者个体化用药中的应用[J]. 肿瘤防治研究, 2020, 47(6): 462-465. DOI: 10.3971/j.issn.1000-8578.2020.19.1364
引用本文: 吴海兵, 赵晓燕, 沈明芳, 黄瑞, 陈程, 任涛, 沈旸. 新型高通量体外药敏检测技术在复发难治性急性髓系白血病患者个体化用药中的应用[J]. 肿瘤防治研究, 2020, 47(6): 462-465. DOI: 10.3971/j.issn.1000-8578.2020.19.1364
WU Haibing, ZHAO Xiaoyan, SHEN Mingfang, Huang Rui, CHEN Cheng, REN Tao, SHEN Yang. Clinical Application of A New In Vitro High-throughput Drug Sensitivity Screening Technology in Individualized Medication of Relapsed Refractory Acute Myeloid Leukemia Patients[J]. Cancer Research on Prevention and Treatment, 2020, 47(6): 462-465. DOI: 10.3971/j.issn.1000-8578.2020.19.1364
Citation: WU Haibing, ZHAO Xiaoyan, SHEN Mingfang, Huang Rui, CHEN Cheng, REN Tao, SHEN Yang. Clinical Application of A New In Vitro High-throughput Drug Sensitivity Screening Technology in Individualized Medication of Relapsed Refractory Acute Myeloid Leukemia Patients[J]. Cancer Research on Prevention and Treatment, 2020, 47(6): 462-465. DOI: 10.3971/j.issn.1000-8578.2020.19.1364

新型高通量体外药敏检测技术在复发难治性急性髓系白血病患者个体化用药中的应用

基金项目: 

嘉兴市科技项目 2017AY33019

详细信息
    作者简介:

    吴海兵(1979-), 男, 本科, 副主任医师, 主要从事恶性血液学临床医学研究

    通信作者:

    沈旸(1960-), 男, 本科, 主任医师, 主要从事医院药学和血液病临床医学研究, E-mail: 13905737152@163.com

  • 中图分类号: R733.71;R73-36+1

Clinical Application of A New In Vitro High-throughput Drug Sensitivity Screening Technology in Individualized Medication of Relapsed Refractory Acute Myeloid Leukemia Patients

More Information
  • 摘要:
    目的 

    利用新型高通量药敏检测技术(HDS)探讨复发难治性急性髓系白血病患者的个体化治疗。

    方法 

    获取19例复发难治性急性髓系白血病患者的骨髓样本,HDS技术对患者自体肿瘤白细胞进行富集培养,对15种单药和17种化疗联合方案按照临床剂量对应的血液峰浓度进行体外药效评估,化学发光法(Celltiter-Glo)行细胞活性检测并计算抑制率,根据抑制率判断药物/方案的敏感等级,为临床制定用药方案提供参考并观察临床缓解率。

    结果 

    19例患者中,4例未缓解(NR)、4例完全缓解(CR)、11例部分缓解(PR),总缓解率(ORR)为78.94%。DAE、DAC、HAD、HD-DA化疗方案敏感频次在68%以上。

    结论 

    HDS在急性白血病个体化用药领域有很好的临床应用价值,是后基因组时代值得临床推广的一种快速、高效、低成本的检测技术手段。

     

    Abstract:
    Objective 

    To explore the clinical value of new high-throughput drug sensitivity (HDS) screening technology in the individualized medication of relapsed refractory acute myeloid leukemia patients.

    Methods 

    We collected bone marrow samples of 19 patients with relapsed and refractory acute myeloid leukemia, enriching and culturing leukemic cancer cells by HDS technology. In vitro efficacy evaluation of 15 single drugs and 17 chemotherapy regimens was carried out according to the blood peak concentration corresponding to clinical dose. The drugs and programs were divided into four levels: high, medium, low and insensitive, according to the inhibition rate of cell activity detected and calculated by Celltiter-Glo based chemiluminescence, then we observed the clinical remission rate.

    Results 

    Among the 19 patients, there were 4 cases of non-remission (NR), 4 cases of complete remission (CR) and 11cases of partial remission (PR), and the overall remission rate was 78.94%. The sensitivity frequency of DAE, DAC, HAD and HD-DA schemes were higher than 68%.

    Conclusion 

    The high-throughput drug sensitivity screening technology is a rapid, efficient and low-cost detection technology, with good clinical application value in individualized medication of relapsed refractory AML patients, worthy of clinical promotion in the post genomic era.

     

  • 作者贡献
    吴海兵:标本搜集、协助临床药板制定及文章撰写
    赵晓燕、沈明芳:收集病例资料、随访
    黄瑞:药敏数据分析、文献查阅
    陈程:原代细胞培养
    任涛:高通量药物药板剂量设置和药板制定
    沈旸:项目总负责、质量控制
  • 图  1   32种药物/方案对19例AML患者的抑制率和敏感分级

    Figure  1   Inhibition rate and sensitivity grade of 19 AML patients to 32 drugs and regimens

    图  2   19例患者对32种药物和方案中、高度敏感(抑制率≥50%)频次的百分比

    Figure  2   Moderate to high sensitivity(inhibition rate ≥50%) frequency percentage of 19 patients to 32 drugs and regimens

    图  3   19例患者对32种药物和方案不敏感(抑制率 < 20%)频次的百分比

    Figure  3   Insensitive(inhibition rate < 20%) frequency percentage of 19 patients to 32 drugs and regimens

    表  1   19例AML患者临床特征和药敏结果

    Table  1   Clinical features and drug sensitivity results of 19 AML patients

    下载: 导出CSV
  • [1]

    Garnett MJ, Edelman EJ, Heidorn SJ, et al. Systematic identification of genomic markers of drug sensitivity in cancer cells[J]. Nature, 2012, 483(7391): 570-575. doi: 10.1038/nature11005

    [2]

    Pemovska T, Kontro M, Yadav B, et al. Individualized Systems Medicine Strategy to Tailor Treatments for Patients with Chemorefractory Acute Myeloid Leukemia[J]. Cancer Discov, 2013, 3(12): 1416-1429. doi: 10.1158/2159-8290.CD-13-0350

    [3]

    Crystal AS, Shaw AT, Sequist LV, et al. Patient-derived models of acquired resistance can identify effective drug combinations for cancer[J]. Science, 2014, 346(6216): 1480-1486. doi: 10.1126/science.1254721

    [4]

    Chia S, Low JL, Zhang X, et al. Phenotype-driven precision oncology as a guide for clinical decisions one patient at a time[J]. Nat Commun, 2017, 8(1): 435. doi: 10.1038/s41467-017-00451-5

    [5]

    Tyner JW, Tognon CE, Bottomly D, et al. Functional genomic landscape of acute myeloid leukaemia[J]. Nature, 2018, 562(7728): 526-531. doi: 10.1038/s41586-018-0623-z

    [6]

    Pemovska T, Kontro M, Yadav B, Edgren H, et al. Individualized systems medicine strategy to tailor treatments for patients with chemorefractory acute myeloid leukemia[J]. Cancer Discov, 2013, 3(12): 1416-1429. doi: 10.1158/2159-8290.CD-13-0350

    [7]

    Creutzig U, Kaspers GJ. Revised recommendations of the International Working Group for diagnosis, standardization of response criteria, treatment outcomes, and reporting standards for therapeutic trials in acute myeloid leukemia[J]. J Clin Oncol, 2004, 22(16): 3432-3433. doi: 10.1200/JCO.2004.99.116

    [8]

    Marquart J, Chen EY, Prasad V. Estimation of the Percentage of US Patients With Cancer Who Benefit From Genome-Driven Oncology[J]. JAMA Oncol, 2018, 4(8): 1093-1098. doi: 10.1001/jamaoncol.2018.1660

    [9]

    Jiang Y, Sun A, Zhao Y, et al. Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma[J]. Nature, 2019, 567(7747): 257-261. doi: 10.1038/s41586-019-0987-8

    [10]

    Friedman AA, Letai A, Fisher DE, et al. Precision medicine for cancer with next-generation functional diagnostics[J]. Nat Rev Cancer, 2015, 15(12): 747-756. doi: 10.1038/nrc4015

    [11]

    Yan X, Zhou L, Wu Z, et al. High throughput scaffold-based 3D micro-tumor array for efficient drug screening and chemosensitivity testing[J]. Biomaterials, 2019, 198: 167-179. doi: 10.1016/j.biomaterials.2018.05.020

    [12] 朱路, 勾越阳, 鄢晓君, 等.基于病人自体肿瘤细胞体外培养模型的个体化精准用药[J].中国医疗设备, 2016, 31(6): 13-18, 35. doi: 10.3969/j.issn.1674-1633.2016.06.003

    Zhu L, Gou YY, Yan XJ, et al. Precise medicine in cancer treatmentvia patient derivedin vitro tumor model[J]. Zhongguo Yi Liao She Bei, 2016, 31(6): 13-18, 35. doi: 10.3969/j.issn.1674-1633.2016.06.003

    [13] 刘飞扬, 黄瑞, 任涛, 等.肿瘤精准用药治疗的技术体系[J].高科技与产业化, 2016, 242: 50-52. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gkjycyh201607007

    Liu FY, Huang R, Ren T, et al. Technology system of cancer Precision medicine[J]. Gao Ke Ji Yu Chan Ye Hua, 2016, 242: 50-52. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gkjycyh201607007

    [14]

    Liu X, Ory V, Chapman S, et al. ROCK inhibitor and feeder cells induce the conditional reprogramming of epithelial cells[J]. Am J Pathol, 2012, 180(2): 599-607. doi: 10.1016/j.ajpath.2011.10.036

    [15]

    Almosailleakh M, Schwaller J. Murine Models of Acute Myeloid Leukaemia[J]. Int J Mol Sci, 2019, 20(2). pii: E453. doi: 10.3390/ijms20020453

    [16]

    Mazzocchi AR, Rajan SAP, Votanopoulos KI, et al. In vitro patient-derived 3D mesothelioma tumor organoids facilitate patient-centric therapeutic screening[J]. Sci Rep, 2018, 8(1): 2886. doi: 10.1038/s41598-018-21200-8

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出版历程
  • 收稿日期:  2019-10-31
  • 修回日期:  2020-03-15
  • 网络出版日期:  2024-01-12
  • 刊出日期:  2020-06-24

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