Cancer Gene Therapy
https://doi.org/10.1038/s41417-020-00248-7
REVIEW ARTICLE
The future of microfluidics in immune checkpoint blockade
Jonathan Briones
1
●
Wilfred Espulgar
1
●
Shohei Koyama
2
●
Hyota Takamatsu
2
●
Eiichi Tamiya
3,4
●
Masato Saito
1,3
Received: 2 June 2020 / Revised: 2 October 2020 / Accepted: 9 October 2020
© The Author(s) 2020. This article is published with open access
Abstract
Recent advances in microfluidic techniques have enabled researchers to study sensitivities to immune checkpoint therapy, to
determine patients’ response to particular antibody treatment. Utilization of this technology is helpful in antibody discovery
and in the design of personalized medicine. A variety of microfluidic approaches can provide several functions in processes
such as immunologic, genomic, and/or transcriptomic analysis with the aim of improving the efficacy and coverage of
immunotherapy, particularly immune checkpoint blockade (ICB). To achieve this requires researchers to overcome the
challenges in the current state of the technology. This review looks into the advancements in microfluidic technologies
applied to researches on immune checkpoint blockade treatment and its potential shift from proof-of-principle stage to
clinical application.
Introduction
Cancer immunotherapy (CIT) is a promising anticancer
treatment strategy with more efficient survival rate and
lesser adverse effect than conventional treatments such as
surgery, radiotherapy, chemotherapy, and molecular tar-
geted therapy [1]. The increasing demand for immu-
notherapeutics in clinical research as well as in hospital and
clinics has fueled a market growth with a USD 242.86
billion forecast by 2026 [2]. The immune system has the
ability to recognize and kill cancer cells without toxicity to
normal and healthy ones [3]. This treatment approach dates
back to the late 1800s but immunotherapy’s major break-
throughs in understanding the mechanisms in full T-cell
activation and tumor-induced immunosuppression came
about in the last decade [1, 4]. At present, immunotherapy is
an established strategy and has become a new standard of
care in clinical treatments with unprecedented survival
improvements to patients with advanced-stage tumors
[5, 6].
Although significant responses have been recorded, not
all patients benefit from the treatment approach because of
the immune system’s diversity and dynamic nature, together
with inter- and intratumor heterogeneity. Tumors can adapt,
mutate, and escape immune surveillance [3]. The efficacy of
immunotherapeutics in modulating cancer progression is
still lacking for most human cancers [4]. The small number
of success of CIT agents poses a challenge to clinicians and
researchers [7–9]. For instance, only 12.46% of US patients
were reported in 2018 to respond to checkpoint inhibitor
drugs [10]. Overall, about 20–40% of cancer patients were
found to respond to immunotherapy [11]. To further
improve the treatment effectiveness and patient response
rates, more specific biomarkers and immune checkpoint
inhibitors are needed to be identified. This would require
better predictive tools and assays for careful screening of
responders to immunotherapy [1].
Microfluidic platforms have the capacity to address the
needs and challenges facing CIT. These tools are capable of
single-cell analysis, mimic tumor microenvironment
(TME), and perform real-time measurement. Microfluidic
technology provides high precision of liquid manipulation
that conventional bench-top approaches cannot perform
[12, 13]. Among other advantages include reduced size of
operating systems, reagent consumption, waste production,
and power requirement, while at the same time having more
speed in analysis and flexibility in design. For example, a
* Masato Saito
saitomasato@ap.eng.osaka-u.ac.jp
1
Graduate School of Engineering, Osaka University, Suita,
Osaka 565-0871, Japan
2
Graduate School of Medicine, Osaka University, Suita,
Osaka 565-0871, Japan
3
AIST PhotoBIO-OIL, Osaka University, Suita, Osaka 565-0871,
Japan
4
The Institute of Scientific and Industrial Research, Osaka
University, Suita, Osaka 565-0871, Japan
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