| Literature DB >> 34516919 |
Guojun Chen1,2,3, Zhitong Chen4,5, Zejun Wang1,2, Richard Obenchain4, Di Wen1,2, Hongjun Li1,2,6, Richard E Wirz4, Zhen Gu1,2,6,7,8,9.
Abstract
Surgery represents the major option for treating most solid tumors. Despite continuous improvements in surgical techniques, cancer recurrence after surgical resection remains the most common cause of treatment failure. Here, we report cold atmospheric plasma (CAP)–mediated postsurgical cancer treatment, using a portable air-fed CAP (aCAP) device. The aCAP device we developed uses the local ambient air as the source gas to generate cold plasma discharge with only joule energy level electrical input, thus providing a device that is simple and highly tunable for a wide range of biomedical applications. We demonstrate that local aCAP treatment on residual tumor cells at the surgical cavities effectively induces cancer immunogenic cell death in situ and evokes strong T cell–mediated immune responses to combat the residual tumor cells. In both 4T1 breast tumor and B16F10 melanoma models, aCAP treatment after incomplete tumor resection contributes to inhibiting tumor growth and prolonging survival.Entities:
Year: 2021 PMID: 34516919 PMCID: PMC8442862 DOI: 10.1126/sciadv.abg5686
Source DB: PubMed Journal: Sci Adv ISSN: 2375-2548 Impact factor: 14.136
Fig. 1.Illustration of portable aCAP device for postsurgical cancer treatment.
(A) Portable aCAP is applied on residual tumor cells within the surgical cavity and induces cancer immunogenic cell death (ICD) of the residual tumor cells. Tumor-associated antigens (TAAs) released from dying cells are presented by dendritic cells (DCs) to T cells in the tumor-draining lymph node, generating cytotoxic T lymphocytes to combat tumor cells. (B) Schematic of the working mechanism for the aCAP device. (C) A photograph of cold plasma discharge containing joule energy level lightning (spark) from the device (Photo credit: Zhitong Chen, UCLA) and (D) a representative optical emission spectroscopy spectrum of CAP generated from the aCAP device. Scale bar, 1 mm. a.u., arbitrary units. (E) Schematic of the airflow field for the aCAP device created with Autodesk CFD 2019. The chamber and nozzle are designed to promote fan-driven airflow through the channel and between the electrodes. The color gradient of the streamlines indicates increasing theoretical air velocity from the fan output (blue, lowest) to the exit nozzle (yellow/orange, approximately 150% of fan output velocity).
Fig. 2.Characterizations of aCAP treatment in vitro.
(A) ROS concentrations and (B) RNS concentrations in the cells after aCAP treatment (n = 3). Data are presented as means ± SD. MFI, mean fluorescence intensity; UT, untreated. (C) Cell viability of 4T1 breast cancer cells after aCAP treatment for different times (n = 4). Data are presented as means ± SD. (D) Quantification and representative flow cytometry analyses showing the induction of the ICD marker CRT on 4T1 cells after aCAP treatment (n = 3). Data are presented as means ± SD. (E) In vitro activation of DCs (CD86+CD80+ cells) after cocultured with aCAP-treated 4T1 cells (n = 3). Data are presented as means ± SD. Statistical significance was calculated via one-way analysis of variance (ANOVA) with a Tukey post hoc test for multiple comparisons. *P < 0.05; **P < 0.01; ***P < 0.001.
Fig. 3.aCAP treatment for inhibition of tumor progression in a 4T1-tumor-incomplete-surgery model.
(A) Schematic of the treatment schedule. (B) Quantification of CRT markers on the remaining 4T1 cells after aCAP treatment (n = 4). Data are presented as means ± SD. (C) Representative flow cytometry plots and (D) quantification of DC maturation in vivo in the tumor-draining lymph nodes (n = 4). Cells in the tumor-draining lymph nodes were collected 5 days after the treatments. Data are presented as means ± SD. (E) In vivo bioluminescence imaging of 4T1 tumors after removal of the primary tumor. Three representative mice per treatment group are shown. Tumor resection was done on day 14. (F) Individual and (G) average tumor growth kinetics in experimental groups (n = 7). Growth curves were stopped when the first mouse died. Data are presented as means ± SEM. Statistical significance in (B), (D), and (G) was calculated via one-way ANOVA with a Tukey post hoc test for multiple comparisons. *P < 0.05; **P < 0.01; ***P < 0.001. (H) Kaplan-Meier survival curves for treated and control mice (n = 7). Statistical significance was compared with the untreated control group and was calculated via the log-rank (Mantel-Cox) test. *P < 0.05; **P < 0.01. (I) Body weight changes of mice in each group after different treatments. Data are presented as means ± SD (n = 7).
Fig. 4.Postsurgical aCAP treatment triggering T cell–mediated antitumor immune responses.
Quantification analyses of intratumoral (A) CD8+ T cells and (B) CD4+ T cells gating on CD3+ cells following various treatments (n = 4). Cells were collected 5 days after the treatments. Data are presented as means ± SD. (C) Quantitative analysis of Ki67 expression in CD3+CD8+ T cells within the tumors 5 days after treatment (n = 4). Data are presented as means ± SD. (D) Representative flow cytometric analyses of CD4+ and CD8+ T cells gating on CD3+ cells in the tumors 5 days after the treatments. (E) Representative flow cytometric analyses of Ki67 in CD3+CD8+ T cells within the tumors 5 days after treatment (n = 4). (F) Representative immunofluorescence staining of CD4+ T cells and CD8+ T cells in the tumors. Scale bar, 50 μm. DAPI, 4′,6-diamidino-2-phenylindole. (G) Cytokine levels in the serum from mice isolated 5 days after different treatments. Data are presented as means ± SD (n = 4). Statistical significance was calculated via one-way ANOVA with a Tukey post hoc test for multiple comparisons. *P < 0.05; **P < 0.01; ***P < 0.001.