| Literature DB >> 31619293 |
Tae Heung Kang1, Chih-Ping Mao2,3,4, Young Seob Kim1, Tae Woo Kim5, Andrew Yang4,6, Brandon Lam3,4, Ssu-Hsueh Tseng4, Emily Farmer4, Yeong-Min Park7, Chien-Fu Hung8,9.
Abstract
The tumor microenvironment exists in a state of dynamic equilibrium, in which a balance of agonist and antagonist signals govern the anti-tumor immune responses. Previous studies have shown that chemotherapy could shift this balance in favor of agonistic signals for the anti-tumor immune responses mounted by CD8+ cytotoxic T lymphocytes (CTL), providing sufficiently high antigen density within the tumor. We undertook the current study to characterize the anti-tumor immune response following chemotherapy and its underlying mechanisms. We show that this 'adjuvant effect' of chemotherapy is, at least partially, mediated by the release of tumor DNA and acts through the Toll-like receptor 9 (TLR9) pathway. We found that tumor-released DNA causes accumulation, antigen uptake, and maturation of dendritic cells (DCs) in the tumor in a TLR9-dependent manner. These DCs subsequently migrate into the draining lymph nodes and prime tumor-specific CTLs. Our study provides novel insights to the molecular and cellular mechanisms by which chemotherapy converts the tumor microenvironment into a site permissive for the activation of a potent tumor-specific adaptive immune response.Entities:
Keywords: Chemotherapy; Toll-like receptor 9; Tumor DNA
Year: 2019 PMID: 31619293 PMCID: PMC6794732 DOI: 10.1186/s40425-019-0738-2
Source DB: PubMed Journal: J Immunother Cancer ISSN: 2051-1426 Impact factor: 13.751
Fig. 1Effect of chemotherapy induced tumor DNA release on the anti-tumor immune response following chemotherapy. a) Quantification of DNA released from tumor cells in vivo with or without cisplatin (n = 5). b-e TC-1 tumor-bearing C57BL/6 mice were treated with cisplatin intraperitoneally, together with intratumoral injection of unlabeled (c-d) or FITC-labeled (e) E7 peptide. Mice were then administered with either DNase I or PBS. b Schematic diagram. c Line-graph depicting tumor growth kinetics in DNase I-treated compared to PBS-treated mice (n = 5). d PBMCs were collected from mice, stained with E7-Db tetramer, and examined by flow cytometry. Left: Representative flow cytometry depicting the frequency of E7-specific CTLs. Right: Bar graph quantification (n = 5). e Draining lymph nodes were processed into single cells and stained for CD11c. Left: Representative flow cytometry depicting the frequency of E7-loaded tumor DCs in the draining lymph nodes. Right: Bar graph quantification (n = 5). f-h CT26 tumor-bearing BALB/c mice were treated with cisplatin intraperitoneally, together with direct AH1-A5 peptide injection into the tumor. Mice were co-treated with either DNase I or PBS. f Line-graph depicting tumor growth kinetics (n = 5). g Kaplan-Meier survival analysis of mice (n = 5). h PBMCs were collected, pulsed ex vivo with AH1-A5 peptide, and co-stained the next day for CD8 and IFN-γ. Left: Representative flow cytometry depicting the number of systemic AH1-A5-specific CTLs. Right: Bar graph quantification (n = 5). Significance determined by student’s t test (a, c-e, & h) or ANOVA (f-g). Data are represented as mean ± SD. *P < 0.01
Fig. 2Effect of TLR9 on the anti-tumor immune response following chemotherapy. a-c TC-1 tumor-bearing wildtype or TLR9−/− mice were treated with indicated combinations of cisplatin and/or E7 peptide. a Line-graph depicting tumor growth kinetics (n = 10). b Kaplan-Meier survival analysis of mice (n = 10). c Left: Representative flow cytometry depicting the frequency of systemic E7-specific CTLs in TC-1 tumor-bearing mice (n = 5). Right: Bar graph quantification. d-f TC-1 tumor-bearing wildtype C57BL/6 or TLR9−/− mice were treated with doxorubicin and E7 peptide. d Line-graph depicting tumor growth kinetics (n = 10). e Kaplan-Meier survival analysis of mice (n = 10). f Left: Representative flow cytometry depicting the frequency of systemic E7-specific CTLs (n = 5). Right: Bar graph quantification. g-h EG7 lymphoma-bearing wildtype or TLR9−/− mice were treated with cisplatin and Ova peptide or with PBS control. g Kaplan-Meier survival analysis of mice (n = 5). h Left: Representative flow cytometry depicting the frequency of systemic Ova-specific CTLs in mice (n = 5). Right: Bar graph quantification. Significance determined by ANOVA (a-b, d-e, g), student’s t test (c, f, h). Data are represented as mean ± SD. *P < 0.01
Fig. 3Role of TLR9 in the accumulation, trafficking, antigen presentation and maturation of tumor DCs after chemotherapy. a TC-1 tumor-bearing wildtype or TLR9−/− mice were treated intraperitoneally with cisplatin or PBS. Tumor-infiltrating cells were stained for CD11c and examined by flow cytometry to detect the number of tumor DCs. Left: Representative flow cytometry depicting the frequency of tumor DCs. Right: Bar graph quantification (n = 5). b-c TC-1 tumor-bearing wildtype of TLR9−/− mice were treated with cisplatin intraperitoneally, together with injection of FITC-labeled (b) or unlabeled (c) E7 peptide into the tumor. b Cells from draining lymph nodes were stained for CD11c and examined by flow cytometry. Left: Representative flow cytometry depicting the frequency of E7-loaded tumor CD11c+ DCs. Right: Bar graph quantification (n = 5). c DCs were purified from lymph nodes and co-incubated with E7-specific CTLs. Cells were stained for IFN-γ and examined by flow cytometry (n = 5). Left: Representative flow cytometry depicting activation of E7-specific CTLs. Right: Bar graph quantification. d TC-1 tumor-bearing mice were treated intraperitoneally with cisplatin. Tumor-infiltrating cells were harvested and co-stained for CD11c and for CD40, CD80, or CD86, and examined by flow cytometry. Bar graph indicates expression status (as mean fluorescence intensity (MFI)) of CD40, CD80, or CD86 on CD11c+ tumor DCs (n = 5). Significance determined by student’s t test. Data are represented as mean ± SD. *P < 0.01, ND = no difference