Quantum dot-pulsed dendritic cell vaccines plus macrophage polarization for amplified cancer immunotherapy

Liu, Feng; Sun, Junlin; Yu, Wenjie; Jiang, Qunying; Pan, Min; Xu, Zhen; Mo, Fengye; Liu, Xiaoqing

doi:10.1016/j.biomaterials.2020.119928

Cited by 43 publications

(21 citation statements)

References 55 publications

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“…Unsupervised clustering analysis was adopted and found that the expression levels of some immune cells between clusters, such as "Mast cell resting (P < 0.001)", "T cell regulatory (P < 0.01)", "Macrophages M1 (P < 0.01)", "Eosinophils (P < 0.01)", and "T cell CD4 memory resting (P < 0.01)", were significantly different, demonstrating that differences in CAAS could lead to changes in the tumour immune microenvironment. Previous studies have shown that high infiltration of M1 [51] and CD4 T cells, E0 expression [52], mast cell expression [53], and low Treg expression [54] or other states are the best state of hot tumours, which can increase the efficacy of immunotherapy. What's more, the main difference between the three clusters was the infiltration level of innate and acquired immune cells, which was verified by differential analysis of the underlying immunophenotype and immune microenvironment.In addition, we also discovered the heterogeneity of the immune microenvironment in TNBC based on the consensus matrix heatmap, which could to some extent explain the clinical phenomenon that PD-1 / PD-L1 immunotherapy had different effects on TNBC patients.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive analysis and establishment of a prediction model of alternative splicing events reveal the prognostic predictor and immune microenvironment signatures in triple negative breast cancer

Liu

et al. 2020

J Transl Med

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Background: Triple-negative breast cancer (TNBC) is widely concerning because of high malignancy and poor prognosis. There is increasing evidence that alternative splicing (AS) plays an important role in the development of cancer and the formation of the tumour microenvironment. However, comprehensive analysis of AS signalling in TNBC is still lacking and urgently needed. Methods: Transcriptome and clinical data of 169 TNBC tissues and 15 normal tissues were obtained and integrated from the cancer genome atlas (TCGA), and an overview of AS events was downloaded from the SpliceSeq database. Then, differential comparative analysis was performed to obtain cancer-associated AS events (CAAS). Metascape was used to perform parent gene enrichment analysis based on CAAS. Unsupervised cluster analysis was performed to analyse the characteristics of immune infiltration in the microenvironment. A splicing network was established based on the correlation between CAAS events and splicing factors (SFs). We then constructed prediction models and assessed the accuracy of these models by receiver operating characteristic (ROC) curve and Kaplan-Meier survival analyses. Furthermore, a nomogram was adopted to predict the individualized survival rate of TNBC patients. Results: We identified 1194 cancer-associated AS events (CAAS) and evaluated the enrichment of 981 parent genes. The top 20 parent genes with significant differences were mostly related to cell adhesion, cell component connection and other pathways. Furthermore, immune-related pathways were also enriched. Unsupervised clustering analysis revealed the heterogeneity of the immune microenvironment in TNBC. The splicing network also suggested an obvious correlation between SFs expression and CAAS events in TNBC patients. Univariate and multivariate Cox regression analyses showed that the survival-related AS events were detected, including some significant participants in the carcinogenic process. A nomogram incorporating risk, AJCC and radiotherapy showed good calibration and moderate discrimination.

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Section: Discussionmentioning

confidence: 99%

Comprehensive analysis and establishment of a prediction model of alternative splicing events reveal the prognostic predictor and immune microenvironment signatures in triple negative breast cancer

Liu

et al. 2020

J Transl Med

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“…developed QD pulsed‐dendritic cell (DC) vaccines for improved antitumor immunity, since DCs are essential for the activation of immune responses. [ 182 ] QDs provide several functions, acting as fluorescence probes, nanocarriers for vaccine components, and as immunomodulatory adjuvants due to Nlrp3 (NLR family pyrin domain containing 3)‐dependent inflammasome activation pathway. Lung metastasis decreased in treated B16‐F10 tumor bearing C57BL/6j mice due to the polarization of TAMs caused by the loss of chemokine (C‐C motif) ligand 3 (CCL3), suggesting the use of QD pulsed‐DC vaccines for improved cancer immunotherapy.…”

Section: Cancer Nanotechnologymentioning

confidence: 99%

“…Lung metastasis decreased in treated B16‐F10 tumor bearing C57BL/6j mice due to the polarization of TAMs caused by the loss of chemokine (C‐C motif) ligand 3 (CCL3), suggesting the use of QD pulsed‐DC vaccines for improved cancer immunotherapy. [ 182 ]…”

Section: Cancer Nanotechnologymentioning

confidence: 99%

Nanotechnology‐Based Strategies to Evaluate and Counteract Cancer Metastasis and Neoangiogenesis

Şen

Emanet

Ciofani

2021

Adv Healthcare Materials

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Cancer metastasis is the major cause of cancer-related morbidity and mortality. It represents one of the greatest challenges in cancer therapy, both because of the ability of metastatic cells to spread into different organs, and because of the consequent heterogeneity that characterizes primary and metastatic tumors. Nanomaterials can potentially be used as targeting or detection agents owing to unique chemical and physical features that allow tailored and tunable theranostic functions. This review highlights nanomaterial-based approaches in the detection and treatment of cancer metastasis, with a special focus on the evaluation of nanostructure effects on cell migration, invasion, and angiogenesis in the tumor microenvironment.

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“…Here, we report synthetic quantum dots (QDs) nanomaterials that enable visualization of the spatiotemporal trafficking of vaccines for immunotherapy (Figure 1 A,B ). Owing to excellent brightness, superior resistance to photo‐bleaching, small particle size and versatile surface modifications,[ 25 , 26 ] QDs are ideal labels for spatiotemporal tracking of important biological events. [ 27 , 28 ] To demonstrate the non‐invasive real‐time visualization of dynamic immune response, we functionalize different types of core–shell semiconductor QDs that are in the red wavelength range and near‐infrared (NIR) window as trackers.…”

Section: Introductionmentioning

confidence: 99%

Visualization of Vaccine Dynamics with Quantum Dots for Immunotherapy

Sun

Liu

et al. 2021

Angew Chem Int Ed

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The direct visualization of vaccine fate is important to investigate its immunoactivation process to elucidate the detailed molecular reaction process at single-molecular level. Yet, visualization of the spatiotemporal trafficking of vaccines remains poorly explored. Here,w es howt hat quantum dot (QD) nanomaterials allow for monitoring vaccine dynamics and for amplified immune response.S ynthetic QDs enable efficient conjugation of antigen and adjuvants to target tissues and cells,and non-invasive imaging the trafficking dynamics to lymph nodes and cellular compartments.T he nanoparticle vaccine elicits potent immune responses and anti-tumor efficacy alone or in combination with programmed cell death protein 1b lockade.T he synthetic QDs showed high fluorescence quantum yield and superior photostability,a nd the reliable and long-term spatiotemporal trackingo fv accine dynamics was realized for the first time by using the synthetic QDs,p roviding ap owerful strategy for studying immune response and evaluating vaccine efficacy.

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Quantum dot-pulsed dendritic cell vaccines plus macrophage polarization for amplified cancer immunotherapy

Cited by 43 publications

References 55 publications

Comprehensive analysis and establishment of a prediction model of alternative splicing events reveal the prognostic predictor and immune microenvironment signatures in triple negative breast cancer

Comprehensive analysis and establishment of a prediction model of alternative splicing events reveal the prognostic predictor and immune microenvironment signatures in triple negative breast cancer

Nanotechnology‐Based Strategies to Evaluate and Counteract Cancer Metastasis and Neoangiogenesis

Visualization of Vaccine Dynamics with Quantum Dots for Immunotherapy

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