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

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...

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Detalles Bibliográficos
Autores principales: Bonilla, Diana L., Reinin, Gil, Chua, Edmond
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878389/
https://www.ncbi.nlm.nih.gov/pubmed/33585561
http://dx.doi.org/10.3389/fmolb.2020.612801
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author Bonilla, Diana L.
Reinin, Gil
Chua, Edmond
author_facet Bonilla, Diana L.
Reinin, Gil
Chua, Edmond
author_sort Bonilla, Diana L.
collection PubMed
description 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.
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spelling pubmed-78783892021-02-13 Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research Bonilla, Diana L. Reinin, Gil Chua, Edmond Front Mol Biosci Molecular Biosciences 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. Frontiers Media S.A. 2021-01-29 /pmc/articles/PMC7878389/ /pubmed/33585561 http://dx.doi.org/10.3389/fmolb.2020.612801 Text en Copyright © 2021 Bonilla, Reinin and Chua. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Bonilla, Diana L.
Reinin, Gil
Chua, Edmond
Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research
title Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research
title_full Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research
title_fullStr Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research
title_full_unstemmed Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research
title_short Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research
title_sort full spectrum flow cytometry as a powerful technology for cancer immunotherapy research
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878389/
https://www.ncbi.nlm.nih.gov/pubmed/33585561
http://dx.doi.org/10.3389/fmolb.2020.612801
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