Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research

被引:60
|
作者
Bonilla, Diana L. [1 ]
Reinin, Gil [1 ]
Chua, Edmond [1 ]
机构
[1] Cytek Biosci, Fremont, CA 94538 USA
关键词
full spectral flow cytometry; immunomonitoring; cancer immunotherapy; immunology; cytometry; SINGLE CELLS; THERAPY;
D O I
10.3389/fmolb.2020.612801
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The Nobel Prize-deserving concept of blocking inhibitory pathways in T cells, to unleash their anti-tumoral capacity, became one of the pillars of cancer treatment in the last decade and has resulted in durable clinical responses for multiple cancer types. Currently, two of the most important goals in cancer immunotherapy are to understand the mechanisms resulting in failure to checkpoint blockade and to identify predictive immunological biomarkers that correlate to treatment response, disease progression or adverse effects. The identification and validation of biomarkers for routine clinical use is not only critical to monitor disease or treatment progression, but also to personalize and develop new therapies. To achieve these goals, powerful research tools are needed. Flow cytometry stands as one of the most successful single-cell analytical tools used to characterize immune cell phenotypes to monitor solid tumors, hematological malignancies, minimal residual disease or metastatic progression. This technology has been fundamental in diagnosis, treatment and translational research in cancer clinical trials. Most recently, the need to evaluate simultaneously more features in each cell has pushed the field to implement more powerful adaptations beyond conventional flow cytometry, including Full Spectrum Flow Cytometry (FSFC). FSFC captures the full emission spectrum of fluorescent molecules using arrays of highly sensitive light detectors, and to date has enabled characterization of 40 parameters in a single sample. We will summarize the contributions of this technology to the advancement of research in immunotherapy studies and discuss best practices to obtain reliable, robust and reproducible FSFC results.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] NK cells as powerful therapeutic tool in cancer immunotherapy
    Huang, Mao
    Liu, Yixuan
    Yan, Qijia
    Peng, Miao
    Ge, Junshang
    Mo, Yongzhen
    Wang, Yumin
    Wang, Fuyan
    Zeng, Zhaoyang
    Li, Yong
    Fan, Chunmei
    Xiong, Wei
    CELLULAR ONCOLOGY, 2024, 47 (03) : 733 - 757
  • [42] Applications of flow cytometry to phytoplankton research
    Brookes, JD
    Regel, RH
    Ganf, GG
    Burch, MD
    INTERNATIONAL ASSOCIATION OF THEORETICAL AND APPLIED LIMNOLOGY, VOL 28 PT 3, PROCEEDINGS, 2002, 28 : 1311 - 1316
  • [43] LADS: a powerful vaccine platform for cancer immunotherapy and prevention
    Jing Sun
    Jing Wang
    Xin Jiang
    Jing Xia
    Yue Han
    Mianmian Chen
    Jiali Xu
    Simin Deng
    Changyong Cheng
    Houhui Song
    BMC Biology, 22 (1)
  • [44] THE TECHNIQUE OF FLOW CYTOMETRY IN DIAGNOSTIC RESEARCH
    Macheta, Arkadiusz
    Radko, Katarzyna
    Szymczyk, Agnieszka
    Podhorecka, Monika
    ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL, 2013, 7 (19): : 55 - 59
  • [45] Cancer immunotherapy full speed ahead
    Melero, I.
    Navarro, B.
    Teijeira, A.
    Coukos, G.
    ANNALS OF ONCOLOGY, 2017, 28 : 1 - 2
  • [46] Flow cytometry in botanical research: introduction
    Suda, Jan
    Pysek, Petr
    PRESLIA, 2010, 82 (01) : 1 - 2
  • [47] Unveiling therapeutic potential of adoptive T-cell products in cancer treatment by integrating full spectrum flow cytometry with image-based assays
    Schulenberg, Sarah
    Loeser, Michelle
    Farrera-Sal, Marti
    Keye, Jacqueline
    Tat, Candise
    Kunkel, Desiree
    Omer, Bilal A.
    Schmueck-Henneresse, Michael
    EUROPEAN JOURNAL OF IMMUNOLOGY, 2024, 54 : 940 - 940
  • [48] Flow Cytometry-Based Classification in Cancer Research: A View on Feature Selection
    Hassan, S. Sakira
    Ruusuvuori, Pekka
    Latonen, Leena
    Huttunen, Heikki
    CANCER INFORMATICS, 2015, 14 : 75 - 85
  • [49] Tandem dye technology advances for flow cytometry
    Daziano, JP
    Gupta, RK
    O'Connell, E
    Forman, M
    CYTOMETRY, 2002, : 121 - 121
  • [50] A microencapsulation method based on flow cytometry technology
    Paul, C
    Gregori, GJ
    Park, K
    Robinson, JP
    CYTOMETRY PART A, 2004, 59A (01): : 156 - 156