scholarly journals N6-Methyladenosine RNA Modification in the Tumor Immune Microenvironment: Novel Implications for Immunotherapy

2021 ◽  
Vol 12 ◽  
Author(s):  
Liting Guo ◽  
Hui Yang ◽  
Chenfei Zhou ◽  
Yan Shi ◽  
Lei Huang ◽  
...  
Keyword(s):  
Immune Cells ◽  
Suppressor Cells ◽  
Detection Methods ◽  
Eukaryotic Cells ◽  
Rna Modification ◽  
Myeloid Derived Suppressor Cells ◽  
Immune Microenvironment ◽  
Cancer Occurrence ◽  
Tumor Immune Microenvironment ◽  
The Relationship

N6-methyladenosine (m6A) methylation is one of the most common modifications of RNA in eukaryotic cells, and is mainly regulated by m6A methyltransferases (writers), m6A demethylases (erasers), and m6A binding proteins (readers). Recently, accumulating evidence has shown that m6A methylation plays crucial roles in the regulation of the tumor immune microenvironment, greatly impacting the initiation, progression, and metastasis processes of various cancers. In this review we first briefly summarizes the m6A-related concepts and detection methods, and then describes in detail the associations of m6A methylation modification with various tumor immune components especially immune cells (e.g., regulatory T cells, dendritic cells, macrophages, and myeloid-derived suppressor cells) in a variety of cancers. We discuss the relationship between m6A methylation and cancer occurrence and development with the involvement of tumor immunity highlighted, suggesting novel markers and potential targets for molecular pathological diagnosis and immunotherapy of various cancers.

scholarly journals Tumor Immune Microenvironment and Its Related miRNAs in Tumor Progression

2021 ◽  
Vol 12 ◽  
Author(s):  
Yingying Xing ◽  
Guojing Ruan ◽  
Haiwei Ni ◽  
Hai Qin ◽  
Simiao Chen ◽  
...  
Keyword(s):  
T Cells ◽  
Tumor Progression ◽  
Tumor Cells ◽  
Immune Cells ◽  
Suppressor Cells ◽  
Immune Microenvironment ◽  
Non Coding Rna ◽  
Tumor Immune Microenvironment ◽  
Downstream Gene Expression

MiRNA is a type of small non-coding RNA, by regulating downstream gene expression that affects the progression of multiple diseases, especially cancer. MiRNA can participate in the biological processes of tumor, including proliferation, invasion and escape, and exhibit tumor enhancement or inhibition. The tumor immune microenvironment contains numerous immune cells. These cells include lymphocytes with tumor suppressor effects such as CD8+ T cells and natural killer cells, as well as some tumor-promoting cells with immunosuppressive functions, such as regulatory T cells and myeloid-derived suppressor cells. MiRNA can affect the tumor immune microenvironment by regulating the function of immune cells, which in turn modulates the progression of tumor cells. Investigating the role of miRNA in regulating the tumor immune microenvironment will help elucidate the specific mechanisms of interaction between immune cells and tumor cells, and may facilitate the use of miRNA as a predictor of immune disorders in tumor progression. This review summarizes the multifarious roles of miRNA in tumor progression through regulation of the tumor immune microenvironment, and provides guidance for the development of miRNA drugs to treat tumors and for the use of miRNA as an auxiliary means in tumor immunotherapy.

scholarly journals Pseudogene HLA-DRB6 Regulates Immune Microenvironment of Cutaneous Melanoma by miR-338/CXCL10 Axis

2022 ◽  
Author(s):  
Jianmin Ren ◽  
Jinglu Yu ◽  
Yang Shi ◽  
Inam Ullah Khan ◽  
Jiansheng Huang
Keyword(s):  
Single Cell ◽  
Immune Cells ◽  
Cutaneous Melanoma ◽  
Target Genes ◽  
Mrna Levels ◽  
Sequencing Data ◽  
Immune Microenvironment ◽  
Potential Biomarker ◽  
Tumor Immune Microenvironment ◽  
The Relationship

Abstract Background: The relationship between the pseudogene and tumor immune microenvironment in cutaneous melanoma is unclear. In this study, we analyzed the role of the pseudogene HLA-DRB6 and its effect on the tumor immune microenvironment in skin cutaneous melanoma (SKCM) using bioinformatics tools. Method: The GEPIA database was used to analyze the expression of HLA-DRB6 and CXCL10 mRNA in tumor tissues. The TIMER database was used to analyze the relationship between mRNA levels and the infiltration of immune cells. The enrichment of HLA-DRB6 and CXCL10 in melanoma tissues was analyzed by single cell portal. The binding sites of HLA-DRB6 with its target genes was predicted via starBase database. The gene expression profiling and clinical data from GEO database (GSE94873) was used to verify the potential of CXCL10 as a biomarker. Result: The expression of HLA-DRB6 in SKCM tumor is higher than in normal tissues, and patients with high HLA-DRB6 expression had a better prognosis (P<0.05). Furthermore, HLA-DRB6 is positively correlated with the infiltration of immune cells such as B cells, CD4+ T, and CD8+ T lymphocytes, and the expression of immune checkpoint molecules such as PD-1, PD-L1, and CTLA-4. Single cell transcriptome sequencing data showed that HLA-DRB6 is mainly enriched in macrophages and had the highest correlation with CXCL10 than other chemokines (cor=0.66, P<0.0001). In addition, we found that CXCL10 can be used as a potential biomarker for predicting responsiveness and survival rate in SKCM patients who treated with Tremelimumab (a human anti-CTLA-4 antibody). Conclusion: In the microenvironment of SKCM, HLA-DRB6 is mainly enriched in macrophages and regulates the expression of CXCL10 through the ceRNA mechanism. Furthermore, the CXCL10 in peripheral blood can be used as a biomarker to predict the responsiveness and the prognosis for patients treated with tremelimumab.

scholarly journals The effect of PEGylation on the efficacy and uptake of an immunostimulatory nanoparticle in the tumor immune microenvironment

2021 ◽  
Author(s):  
Wyatt M. Becicka ◽  
Peter Bielecki ◽  
Morgan Lorkowski ◽  
Taylor J. Moon ◽  
Yahan Zhang ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Immune Cells ◽  
Innate Immune ◽  
Innate Immune Cells ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment ◽  
Immunosuppressive Tumor Microenvironment

The efficacy of immunotherapies is often limited by the immunosuppressive tumor microenvironment, which is populated with dysfunctional innate immune cells. To reprogram the tumor-resident innate immune cells, we developed an...

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.

scholarly journals 111P A study on the relationship between tumor fusion burden (TFB) and tumor immune microenvironment

2021 ◽  
Vol 32 ◽  
pp. S403-S404
Author(s):  
X. Liu ◽  
L. He ◽  
D. Ren ◽  
G. Lv ◽  
L. Gong ◽  
...  
Keyword(s):  
Immune Microenvironment ◽  
Tumor Immune Microenvironment ◽  
The Relationship

scholarly journals Sexual dimorphism and the role of estrogen in the immune microenvironment of liver metastases

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Simon Milette ◽  
Masakazu Hashimoto ◽  
Stephanie Perrino ◽  
Shu Qi ◽  
Michely Chen ◽  
...  
Keyword(s):  
T Cells ◽  
Sexual Dimorphism ◽  
Liver Metastases ◽  
Suppressor Cells ◽  
Cytotoxic T Cell ◽  
Immune Microenvironment ◽  
Ovariectomized Mice ◽  
Cell Accumulation ◽  
Tumor Immune Microenvironment

AbstractLiver metastases (LM) remain a major cause of cancer-associated death and a clinical challenge. Here we explore a sexual dimorphism observed in the regulation of the tumor immune microenvironment (TIME) of LM, wherein the accumulation of myeloid-derived suppressor cells (MDSC) and regulatory T cells in colon and lung carcinoma LM is TNFR2-dependent in female, but not in male mice. In ovariectomized mice, a marked reduction is observed in colorectal, lung and pancreatic carcinoma LM that is reversible by estradiol reconstitution. This is associated with reduced liver MDSC accumulation, increased interferon-gamma (IFN-γ) and granzyme B production in CD8+ T cells and reduced TNFR2, IDO2, TDO and Serpin B9 expression levels. Treatment with tamoxifen increases liver cytotoxic T cell accumulation and reduces colon cancer LM. The results identify estrogen as a regulator of a pro-metastatic immune microenvironment in the liver and a potential target in the management of liver metastatic disease.

Clinical relevance of miR-143 expression in ER-positive breast cancer patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12574-e12574
Author(s):  
Yoshihisa Tokumaru ◽  
Masanori Oshi ◽  
Eriko Katsuta ◽  
Nobuhisa Matsuhashi ◽  
Manabu Futamura ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Immune Cells ◽  
High Expression ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Immune Microenvironment ◽  
Anti Cancer ◽  
Tumor Immune Microenvironment ◽  
Er Positive

e12574 Background: MicroRNA-143(miR-143) is a well-known tumor suppressive microRNA in various malignancies, including breast cancer. Recently, the tumor immune microenvironment has been reported to associate with progression of breast cancers. However, the association with the tumor immune microenvironment and miR-143 in breast cancers remains ambiguous. Given these backgrounds, we hypothesized that high expression of miR-143 is associated with favorable effect to the tumor immune microenvironment which leads to better survival of ER positive breast cancer patients. Methods: Two major publicly available breast cancer cohorts were used for this study. A total of 753 patients from The Cancer Genome Atlas (TCGA) and total of 1283 patients from Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) were used. Results: We defined the higher quartile of miR-143 expression levels as high and the remainder as low expression groups. There was no significant difference in patient clinicopathlogical features between two groups. Gene set enrichment analysis (GSEA) revealed that miR-143 high expression tumors enriched Helper T cell type 1 (Th1) related gene sets indicating the upregulation of anti-cancer immune cells. Also, the cell composition of anti-cancer immune cells, such as Th1 and Macrophage M1 were higher with miR-143 high tumors (p < 0.001 and p < 0.01 respectively) in whole group. On the contrary, pro-cancer immune cells such as Th2 and M1 were lower with miR-143 high tumors (p < 0.01 and p < 0.001 respectively) in whole group. Interestingly, among the subtypes, we found that ER positive subgroup followed this trend of high infiltration rate of anti-cancer immune cells and low infiltration rate of pro-cancer immune cells. Furthermore, only ER positive subgroup demonstrated the survival benefit with miR-143 high expression tumors. Conclusions: We demonstrated that high expression of miR-143 in ER breast cancer associate with favorable tumor immune microenvironment, upregulation of the anti-cancer immune cells and suppression of the pro-cancer immune cells, and associate with better survival of the breast cancer patients.

scholarly journals A Complex Metabolic Network Confers Immunosuppressive Functions to Myeloid-Derived Suppressor Cells (MDSCs) within the Tumour Microenvironment

Cells ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2700
Author(s):  
Francesca Hofer ◽  
Gianna Di Sario ◽  
Chiara Musiu ◽  
Silvia Sartoris ◽  
Francesco De Sanctis ◽  
...  
Keyword(s):  
Metabolic Network ◽  
Cancer Progression ◽  
Immune Cells ◽  
Energy Demand ◽  
Tumour Progression ◽  
Suppressor Cells ◽  
Tumour Microenvironment ◽  
Metabolic Reprogramming ◽  
Myeloid Derived Suppressor Cells ◽  
Cell Proliferation And Differentiation

Myeloid-derived suppressor cells (MDSCs) constitute a plastic and heterogeneous cell population among immune cells within the tumour microenvironment (TME) that support cancer progression and resistance to therapy. During tumour progression, cancer cells modify their metabolism to sustain an increased energy demand to cope with uncontrolled cell proliferation and differentiation. This metabolic reprogramming of cancer establishes competition for nutrients between tumour cells and leukocytes and most importantly, among tumour-infiltrating immune cells. Thus, MDSCs that have emerged as one of the most decisive immune regulators of TME exhibit an increase in glycolysis and fatty acid metabolism and also an upregulation of enzymes that catabolise essential metabolites. This complex metabolic network is not only crucial for MDSC survival and accumulation in the TME but also for enhancing immunosuppressive functions toward immune effectors. In this review, we discuss recent progress in the field of MDSC-associated metabolic pathways that could facilitate therapeutic targeting of these cells during cancer progression.

scholarly journals Pan-Cancer Prognostic, Immunity, Stemness, and Anticancer Drug Sensitivity Characterization of N6-Methyladenosine RNA Modification Regulators in Human Cancers

2021 ◽  
Vol 8 ◽  
Author(s):  
Rui Li ◽  
Yun-Hong Yin ◽  
Xiu-Li Ji ◽  
Xiao Liu ◽  
Jian-Ping Li ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Anticancer Drug ◽  
Drug Sensitivity ◽  
Rna Modification ◽  
Immune Microenvironment ◽  
Normal Tissues ◽  
Tumor Immune Microenvironment ◽  
Cancer Types ◽  
Pan Cancer

N6-methyladenosine RNA modification plays a significant role in the progression of multiple tumorigenesis. Our study identified the imperative role of m6A regulators in the tumor immune microenvironment, survival, stemness score, and anticancer drug sensitivity of pan-cancer. The Wilcox test was to identify the differential expression between 17 m6A regulators across 33 TCGA cancer types and their normal tissues from UCSC Xena GDC pan-cancer. Survival analysis of m6A-related regulators in 33 TCGA cancer types was identified using the “survival” and “survminer” package. The Spearman correlation test and Pearson correlation test were used to identify the correlation relationship between m6A regulators expression and tumor microenvironment, tumor stem cell score, and drug sensitivity of anticancer drugs. ConsensusPathDB was used for exploring m6A regulators functional enrichment. The 17 (METTL3, WTAP, METTL14, RBM15, RBM15B, VIRMA, HNRNPC, HNRNPA2B1, YTHDC1, ZC3H13, YTHDF1, YTHDC2, YTHDF2, IGF2BP3, IGF2BP1, FTO, and ALKBH5) m6A regulators were differentially expressed in 18 TCGA cancer types and adjacent normal tissues. Correlation analysis indicated that the relationship between the expression of 17 m6A regulators and tumor microenvironment indicated that the higher expression of m6A regulators, the higher the degree of tumor stem cells. The anticancer drug sensitivity analysis indicated that ZC3H13 expression had a positive relationship with anticancer drugs such as selumetinib, dabrafenib, cobimetinib, trametinib, and hypothemycin (p &lt; 0.001). YTHDF2 expression was significantly negatively correlated with the anticancer drug dasatinib (p &lt; 0.001). The pan-cancer immune subtype analysis showed that the 17 m6A regulators were significantly different in immune subtype C1 (wound healing), C3 (inflammatory), C2 (IFN-gamma dominant), C5 (immunological quiet), C4 (lymphocyte depleted), and C6 (TGF-beta dominant) (p &lt; 0.001). Our study provides a comprehensive insight for revealing the significant role of m6A regulators in the tumor immune microenvironment, stemness score, and anticancer drug sensitivity of human cancers.

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