scholarly journals Tumor-Associated Macrophages: Critical Players in Drug Resistance of Breast Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Maoyu Xiao ◽  
Jun He ◽  
Liyang Yin ◽  
Xiguan Chen ◽  
Xuyu Zu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Drug Resistance ◽  
Therapeutic Strategies ◽  
Tumor Associated Macrophages ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment ◽  
Potential Possibility ◽  
Underlying Mechanisms ◽  
Novel Therapeutic Strategies

Drug resistance is one of the most critical challenges in breast cancer (BC) treatment. The occurrence and development of drug resistance are closely related to the tumor immune microenvironment (TIME). Tumor-associated macrophages (TAMs), the most important immune cells in TIME, are essential for drug resistance in BC treatment. In this article, we summarize the effects of TAMs on the resistance of various drugs in endocrine therapy, chemotherapy, targeted therapy, and immunotherapy, and their underlying mechanisms. Based on the current overview of the key role of TAMs in drug resistance, we discuss the potential possibility for targeting TAMs to reduce drug resistance in BC treatment, By inhibiting the recruitment of TAMs, depleting the number of TAMs, regulating the polarization of TAMs and enhancing the phagocytosis of TAMs. Evidences in our review support it is important to develop novel therapeutic strategies to target TAMs in BC to overcome the treatment of resistance.

scholarly journals Nanoparticle-Based Therapies for Turning Cold Tumors Hot: How to Treat an Immunosuppressive Tumor Microenvironment

2021 ◽  
Vol 9 ◽  
Author(s):  
Giulio Giustarini ◽  
Andrea Pavesi ◽  
Giulia Adriani
Keyword(s):  
Therapeutic Strategies ◽  
Effector T Cells ◽  
Inorganic Nanoparticles ◽  
Tumor Infiltration ◽  
Patient Stratification ◽  
Immune Microenvironment ◽  
Primary Parameter ◽  
Tumor Immune Microenvironment ◽  
Immunosuppressive Tumor Microenvironment ◽  
Novel Therapeutic Strategies

Nanotechnologies are rapidly increasing their role in immuno-oncology in line with the need for novel therapeutic strategies to treat patients unresponsive to chemotherapies and immunotherapies. The tumor immune microenvironment (TIME) has emerged as critical for tumor classification and patient stratification to design better treatments. Notably, the tumor infiltration of effector T cells plays a crucial role in antitumor responses and has been identified as the primary parameter to define hot, immunosuppressed, excluded, and cold tumors. Organic and inorganic nanoparticles (NPs) have been applied as carriers of new targeted therapies to turn cold or altered (i.e., immunosuppressed or excluded) tumors into more therapeutically responsive hot tumors. This mini-review discusses the significant advances in NP-based approaches to turn immunologically cold tumors into hot ones.

scholarly journals The role of the tumor microbe microenvironment in the tumor immune microenvironment: bystander, activator, or inhibitor?

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Jiayao Ma ◽  
Lingjuan Huang ◽  
Die Hu ◽  
Shan Zeng ◽  
Ying Han ◽  
...  
Keyword(s):  
Immune Cells ◽  
Tumor Antigens ◽  
Checkpoint Inhibitors ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment ◽  
Underlying Mechanisms ◽  
First Time ◽  
Activator Inhibitor ◽  
Stimulation Of

AbstractThe efficacy of cancer immunotherapy largely depends on the tumor microenvironment, especially the tumor immune microenvironment. Emerging studies have claimed that microbes reside within tumor cells and immune cells, suggesting that these microbes can impact the state of the tumor immune microenvironment. For the first time, this review delineates the landscape of intra-tumoral microbes and their products, herein defined as the tumor microbe microenvironment. The role of the tumor microbe microenvironment in the tumor immune microenvironment is multifaceted: either as an immune activator, inhibitor, or bystander. The underlying mechanisms include: (I) the presentation of microbial antigens by cancer cells and immune cells, (II) microbial antigens mimicry shared with tumor antigens, (III) microbe-induced immunogenic cell death, (IV) microbial adjuvanticity mediated by pattern recognition receptors, (V) microbe-derived metabolites, and (VI) microbial stimulation of inhibitory checkpoints. The review further suggests the use of potential modulation strategies of the tumor microbe microenvironment to enhance the efficacy and reduce the adverse effects of checkpoint inhibitors. Lastly, the review highlights some critical questions awaiting to be answered in this field and provides possible solutions. Overall, the tumor microbe microenvironment modulates the tumor immune microenvironment, making it a potential target for improving immunotherapy. It is a novel field facing major challenges and deserves further exploration.

Is Immune Response Relevant in Interstitial Lung Disease?

2020 ◽  
Vol 16 (1) ◽  
pp. 18-27
Author(s):  
Manzoor M. Khan
Keyword(s):  
Immune Response ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Lung Fibrosis ◽  
Lymphocytic Infiltration ◽  
Therapeutic Strategies ◽  
Mediators Of Inflammation ◽  
Acquired Immune Responses ◽  
Novel Therapeutic Strategies

Interstitial lung disease, a term for a group of disorders, causes lung fibrosis, is mostly refractory to treatments and has a high death rate. After diagnosis the survival is up to 3 years but in some cases the patients live much longer. It involves a heterogenous group of lung diseases that exhibit progressive and irreversible destruction of the lung due to the formation of scars. This results in lung malfunction, disruption of gas exchange, and eventual death because of respiratory failure. The etiology of lung fibrosis is mostly unknown with a few exceptions. The major characteristics of the disease are comprised of injury of epithelial type II cells, increased apoptosis, chronic inflammation, monocytic and lymphocytic infiltration, accumulation of myofibroblasts, and inability to repair damaged tissue properly. These events result in abnormal collagen deposition and scarring. The inflammation process is mild, and the disease is primarily fibrotic driven. Immunosuppressants do not treat the disease but the evidence is evolving that both innate and acquired immune responses a well as the cytokines contribute to at least early progression of the disease. Furthermore, mediators of inflammation including cytokines are involved throughout the process of lung fibrosis. The diverse clinical outcome of the disease is due to different pattern of inflammatory markers. Nonetheless, the development of novel therapeutic strategies requires better understanding of the role of the immune response. This review highlights the role of the immune response in interstitial lung disease and considers the therapeutic strategies based on these observations. For this review several literature data sources were used to assess the role of the immune response in interstitial lung disease and to evaluate the possible therapeutic strategies for the disease.

scholarly journals Iron-Bound Lipocalin-2 from Tumor-Associated Macrophages Drives Breast Cancer Progression Independent of Ferroportin

Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 180
Author(s):  
Christina Mertens ◽  
Matthias Schnetz ◽  
Claudia Rehwald ◽  
Stephan Grein ◽  
Eiman Elwakeel ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Progression ◽  
Tumor Cells ◽  
Cancer Progression ◽  
Lung Metastases ◽  
Expression Profiles ◽  
The Cancer Genome Atlas ◽  
Lipocalin 2 ◽  
Tumor Associated Macrophages

Macrophages supply iron to the breast tumor microenvironment by enforced secretion of lipocalin-2 (Lcn-2)-bound iron as well as the increased expression of the iron exporter ferroportin (FPN). We aimed at identifying the contribution of each pathway in supplying iron for the growing tumor, thereby fostering tumor progression. Analyzing the expression profiles of Lcn-2 and FPN using the spontaneous polyoma-middle-T oncogene (PyMT) breast cancer model as well as mining publicly available TCGA (The Cancer Genome Atlas) and GEO Series(GSE) datasets from the Gene Expression Omnibus database (GEO), we found no association between tumor parameters and Lcn-2 or FPN. However, stromal/macrophage-expression of Lcn-2 correlated with tumor onset, lung metastases, and recurrence, whereas FPN did not. While the total iron amount in wildtype and Lcn-2−/− PyMT tumors showed no difference, we observed that tumor-associated macrophages from Lcn-2−/− compared to wildtype tumors stored more iron. In contrast, Lcn-2−/− tumor cells accumulated less iron than their wildtype counterparts, translating into a low migratory and proliferative capacity of Lcn-2−/− tumor cells in a 3D tumor spheroid model in vitro. Our data suggest a pivotal role of Lcn-2 in tumor iron-management, affecting tumor growth. This study underscores the role of iron for tumor progression and the need for a better understanding of iron-targeted therapy approaches.

scholarly journals Infectious disease-associated encephalopathies

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Maria C. Barbosa-Silva ◽  
Maiara N. Lima ◽  
Denise Battaglini ◽  
Chiara Robba ◽  
Paolo Pelosi ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Cognitive Deficits ◽  
Brain Function ◽  
Cell Activation ◽  
Therapeutic Strategies ◽  
Barrier Dysfunction ◽  
Glial Cell Activation ◽  
The Central Nervous System ◽  
Underlying Mechanisms

AbstractInfectious diseases may affect brain function and cause encephalopathy even when the pathogen does not directly infect the central nervous system, known as infectious disease-associated encephalopathy. The systemic inflammatory process may result in neuroinflammation, with glial cell activation and increased levels of cytokines, reduced neurotrophic factors, blood–brain barrier dysfunction, neurotransmitter metabolism imbalances, and neurotoxicity, and behavioral and cognitive impairments often occur in the late course. Even though infectious disease-associated encephalopathies may cause devastating neurologic and cognitive deficits, the concept of infectious disease-associated encephalopathies is still under-investigated; knowledge of the underlying mechanisms, which may be distinct from those of encephalopathies of non-infectious cause, is still limited. In this review, we focus on the pathophysiology of encephalopathies associated with peripheral (sepsis, malaria, influenza, and COVID-19), emerging therapeutic strategies, and the role of neuroinflammation. Graphic abstract

Can Intratumoral neutrophil lymphocyte ratio (NLR) be a prognostic biomarker in breast cancer patients?

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12573-e12573
Author(s):  
Yoshihisa Tokumaru ◽  
Masanori Oshi ◽  
Vijayashree Murthy ◽  
Eriko Katsuta ◽  
Nobuhisa Matsuhashi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Cancer Patients ◽  
Immune Cells ◽  
Breast Cancer Patients ◽  
Immune Microenvironment ◽  
High Group ◽  
Anti Cancer ◽  
Tumor Immune Microenvironment ◽  
Er Positive

e12573 Background: In breast cancer patients, it is well known that the elevation of neutrophil lymphocyte ratio (NLR) in the blood are reported to associate with poor prognosis based on the notion that neutrophils represent pro-cancer, and lymphocytes represent anti-cancer immune cells. Tumor immune microenvironment has been demonstrated to play critical roles in the outcome of breast cancer patients. However, there is scarce evidence on the clinical relevance of intratumoral NLR in breast cancer patients. In the current study, we hypothesized that intratumoral NLR high tumors are associated with worse survival particularly in TNBC that is known to have high immune cell infiltration. Methods: A total of 1904 breast cancer patients’ data from METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) and analyzed. NLR was calculated by the gene expressions of CD66b (CEACAM8) and CD8 (CD8A). NLR high and low were divided by the median. Overall Survival (OS) and Disease-Free Survival were calculated utilizing Kaplan Meier method between intratumoral NLR high and low groups. xCell algorithm was used to analyze the infiltrated immune cells within the tumor immune microenvironment as we have previously published. Results: Intratumoral NLR high group was associated with worse OS in whole, ER-positive/HER2-negative, and triple negative (TN) subtypes, in agreement with the previous studies. TN subtype alone demonstrated worse DFS of NLR high group. Surprisingly, gene set enrichment analysis (GSEA) demonstrated no gene set enrichment to NLR high group, which implicates that there is no distinctive mechanism that associate with worse survival. Whereas, immune response-related gene sets significantly enriched to NLR low group in TN subtype. This enrichment was consistent in ER-positive/HER2-negative. Compared with ER-positive/HER2-negative subtype, anti-cancer immune cells such as CD4+ T cells, CD8+ T cells, M1 macrophage, and helper T helper type 1 cells were significantly infiltrated in TN patients (p < 0.001 for all genes), where M2 macrophages and neutrophils were less and regulatory T cells and T helper type 2 cells were more infiltrated in TN subtype. Furthermore, intratumoral NLR was significantly lower in TN compared with ER-positive/HER2-negative subtype (p < 0.001). These results suggest that intratumoral NLR low group is associated with better survival due to favorable tumor immune microenvironment in TN subtype rather than NLR high group has worse survival. Conclusions: Intratumoral NLR low tumor demonstrated more favorable OS and more favorable DFS in TN patients. Intratumoral NLR low breast cancer was associated with enhanced immune response and higher infiltration of anti-cancer immune cells were observed in TN subtype compared to ER-positive/HER2-negative which may contribute to the favorable outcome of in TN breast cancer.

scholarly journals P02.03 Automated cell type specific PD-L1 quantification by artificial intelligence using high throughput bleach & stain 15-marker multiplex fluorescence immunohistochemistry in human cancers

2021 ◽  
Vol 9 (Suppl 1) ◽  
pp. A8.2-A9
Author(s):  
NC Blessin ◽  
E Bady ◽  
T Mandelkow ◽  
C Yang ◽  
J Raedler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Cells ◽  
Immune Cells ◽  
T Cell Subsets ◽  
Immune Microenvironment ◽  
L1 Data ◽  
Tumor Immune Microenvironment ◽  
Immune Phenotypes ◽  
Fluorescence Immunohistochemistry ◽  
Tumor Entities

BackgroundThe quantification of PD-L1 (programmed cell death ligand 1) has been used to predict patient’s survival, to characterize the tumor immune microenvironment, and to predict response to immune checkpoint therapies. However, a framework to assess the PD-L1 status with a high interobserver reproducibility on tumor cells and different types of immune cells has yet to be established.Materials and MethodsTo study the impact of PD-L1 expression on the tumor immune microenvironment and patient outcome, a framework for fully automated PD-L1 quantification on tumor cells and immune cells was established and validated. Automated PD-L1 quantification was facilitated by incorporating three different deep learning steps for the analysis of more than 80 different neoplasms from more than 10’000 tumor specimens using a bleach & stain 15-marker multiplex fluorescence immunohistochemistry panel (i.e., PD-L1, PD-1, CTLA-4, panCK, CD68, CD163, CD11c, iNOS, CD3, CD8, CD4, FOXP3, CD20, Ki67, CD31). Clinicopathological parameter were available for more than 30 tumor entities and overall survival data were available for 1517 breast cancer specimens.ResultsComparing the automated deep-learning based PD-L1 quantification with conventional brightfield PD-L1 data revealed a high concordance in tumor cells (p<0.0001) as well as immune cells (p<0.0001) and an accuracy of the automated PD-L1 quantification ranging from 90% to 95.2%. Across all tumor entities, the PD-L1 expression level was significantly higher in distinct macrophage/dendritic cell (DC) subsets (identified by CD68, CD163, CD11c, iNOS; p<000.1) and in macrophages/DCs located in the Stroma (p<0.0001) as compared to intratumoral macrophages/DC subsets. Across all different tumor entities, the PD-L1 expression was highly variable and distinct PD-L1 driven immune phenotypes were identified based on the PD-L1 intensity on both tumor and immune cells, the distance between non-exhausted T-cell subsets (i.e. PD-1 and CTLA-4 expression on CD3+CD8+ cytotoxic T-cells, CD3+CD4+ T-helper cells, CD3+CD4+FOXP3+ regulatory T-cells) and tumor cells as well as macrophage/(DC) subtypes. In breast cancer, the PD-L1 fluorescence intensity on tumor cells showed a significantly higher predictive performance for overall survival with an area under receiver operating curves (AUC) of 0.72 (p<0.0001) than the percentage of PD-L1+ tumor cells (AUC: 0.54). In PD-L1 positive as well as negative breast cancers a close spatial relationship between T- cell subsets (CD3+CD4±CD8±FOXP3±PD-1±CTLA-4±) and Macrophage/DC subsets (CD68±CD163±CD11c±iNOS) was found prognostic relevant (p<0.0001).ConclusionsIn conclusion, multiplex immunofluorescence PD-L1 assessment provides cutoff-free/continuous PD-L1 data which are superior to the conventional percentage of PD-L1+ tumor cells and of high prognostic relevance. The combined analysis of spatial PD-L1/PD-1 data and more than 20 different immune cell subtypes of the immune tumor microenvironment revealed distinct PD-L1 immune phenotypes.Disclosure InformationN.C. Blessin: None. E. Bady: None. T. Mandelkow: None. C. Yang: None. J. Raedler: None. R. Simon: None. C. Fraune: None. M. Lennartz: None. S. Minner: None. E. Burandt: None. D. Höflmayer: None. G. Sauter: None. S.A. Weidemann: None.

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