| Literature DB >> 29472563 |
Jared M Newton1,2,3, Jose H Flores-Arredondo1, Sarah Suki1, Matthew J Ware1, Martyna Krzykawska-Serda1,4, Mahdi Agha1, Justin J Law1, Andrew G Sikora2, Steven A Curley1,5, Stuart J Corr6,7,8,9.
Abstract
Previous work using non-invasive radiofrequency field treatment (RFT) in cancer has demonstrated its therapeutic potential as it can increase intratumoral blood perfusion, localization of intravenously delivered drugs, and promote a hyperthermic intratumoral state. Despite the well-known immunologic benefits that febrile hyperthermia can induce, an investigation of how RFT could modulate the intra-tumoral immune microenvironment had not been studied. Thus, using an established 4T1 breast cancer model in immune competent mice, we demonstrate that RFT induces a transient, localized, and T-cell dependent intratumoral inflammatory response. More specifically we show that multi- and singlet-dose RFT promote an increase in tumor volume in immune competent Balb/c mice, which does not occur in athymic nude models. Further leukocyte subset analysis at 24, 48, and 120 hours after a single RFT show a rapid increase in tumoral trafficking of CD4+ and CD8+ T-cells 24 hours post-treatment. Additional serum cytokine analysis reveals an increase in numerous pro-inflammatory cytokines and chemokines associated with enhanced T-cell trafficking. Overall, these data demonstrate that non-invasive RFT could be an effective immunomodulatory strategy in solid tumors, especially for enhancing the tumoral trafficking of lymphocytes, which is currently a major hindrance of numerous cancer immunotherapeutic strategies.Entities:
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Year: 2018 PMID: 29472563 PMCID: PMC5823899 DOI: 10.1038/s41598-018-21719-w
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1RFT set-up and temperature monitoring. (a) Schematic depicting capacitively-coupled radiofrequency (RF) transmitting and receiving head showing mouse orientation and copper blanket shielding. (b) Image of mouse grounding and shielding showing exposed tumor (green arrow) and rectally inserted fiber-optic probe (red arrow) used for systemic temperature monitoring. Representative graph to the right shows systemic temperature measurement for a single mouse during an entire RFT session. (c) Image from infrared camera showing exposed tumor used for tumor surface temperature monitoring. Representative graph to the right shows tumor surface temperature measurement for a single mouse during an entire RFT session. (Supplemental Figure S1 shows cumulative treatment systemic and tumor surface heating curves).
Figure 2Consecutive-dose RFT induces T-cell dependent tumor growth effect with no effects on tumor necrosis or proliferation. 4T1 tumor volume following multiple consecutive RFT (41 °C, 30 mins; date of treatment indicated by black arrows) in either (a) wild-type Balb/c mice or (b) athymic nude Balb/c mice (n = 10/group). (c) Representative H&E histology images of control (top) and RF-treated (bottom) tumors at termination (black arrow denotes necrotic region), with zoom-in of necrotic region to the right. Quantification of necrotic fraction is provided to the far right comparing RF-treated and control mice (n = 5–6/group). (d) Representative IHC images showing Ki67 expression comparison between control (top) and RF-treated (bottom) tumors, with zoom-in of highly proliferative tumor periphery to the right. Quantification of Ki67+ tumor fraction is provided to the far right comparing RF-treated and control mice (n = 5–6/group). Error bars represent SEM. (See Supplemental Figure S3 for complete image set). (*p < 0.05, **p < 0.01, ***p < 0.001).
Figure 3Immune microenvironment time-course analysis following single-dose RFT. (a) 4T1 tumor volume in Balb/c mice following single RFT (41 °C, 30 mins; day of treatment indicated by black arrow) which were terminated for microenvironment analysis at either 24hrs (left), 48hrs (middle), or 120hrs (right) post-RFT (n = 5/group). (b) Representative flow cytometry scatter plots among CD45+ cells showing the increase in CD4+ and CD8+ T cell populations in tumor between a control and RF-treated mice 24 hours post-RFT. (c) Cumulative plots of CD4+ T cell percentages (top row) and CD8+ T cell percentages (bottom row) showing changes in T cell percentages among total viable cells 24hrs post-treatment for tumor (left column) and changes 24, 48, and 120hrs post-treatment in tumor-draining lymph node (right column). (n = 3–10/group). (d) Control vs. RF-treated tumor percentage of MDSC (CD11b+/Gr1+) 120hrs post-treatment with representative flow plots (left) and cumulative plots showing percentages among total viable cells (right) (n = 5–10/group). See Supplemental Figs S4 and S5 for flow cytometry gating strategy. Each point represents an individual mouse percentage and all percentages are out of total viable cells analzyed. Error bars represent SEM. (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).
Figure 4Blood plasma cytokine panel time-course analysis following single-dose RFT. At 24, 48, or 120 hrs after a single RFT blood plasma was analyzed for 25 cytokines. (a) Cytokine plasma concentration fold-change of RF-treated mice at 24, 48, or 120 hours post-RFT compared to control mice. Fold changes for each analyte were calculated by taking the ratio of average plasma concentrations of RFT-mice and control mice for each independent time-point (i.e. [G-CSF]24 hr RF/[G-CSF]24 hr Control) (n = 5/group). (b) Plasma concentration in pg/mL of IL-6 (top) and MIP2 (bottom) comparing control and RF-treated mice 24hrs post-RFT (n = 5/group). Error bars represent SEM. (*p < 0.05).