scholarly journals m6A Regulator-Associated Modification Patterns and Immune Infiltration of the Tumor Microenvironment in Hepatocarcinoma

2021 ◽  
Vol 9 ◽  
Author(s):  
Jianhao Li ◽  
Weiwei Wang ◽  
Yubing Zhou ◽  
Liwen Liu ◽  
Guizhen Zhang ◽  
...  
Keyword(s):  
T Cell ◽  
Tumor Microenvironment ◽  
Tumor Progression ◽  
Clinical Features ◽  
Poor Prognosis ◽  
Immune Cell ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
T Cell Infiltration ◽  
The Relationship

Background: Immunotherapy elicits durable responses in many tumors. Nevertheless, the positive response to immunotherapy always depends on the dynamic interactions between the tumor cells and infiltrating lymphocytes in the tumor microenvironment (TME). Currently, the application of immunotherapy in hepatocellular carcinoma (HCC) has achieved limited success. The ectopic modification of N6-methyladenosine (m6A) is a common feature in multiple tumors. However, the relationship between m6A modification with HCC clinical features, prognosis, immune cell infiltration, and immunotherapy efficacy remains unclear.Materials and Methods: Here, we comprehensively evaluated m6A modification clusters based on 22 m6A regulators and systematically explored the relationship between m6A modification with tumor progression, prognosis, and immune cell infiltration characteristics. The m6Ascore was calculated by principal component analysis to quantify the m6A modifications of individual patients. Key regulators involved in immunoregulation in HCC were identified using immunohistochemistry and immunofluorescence.Results: Three distinct m6A modification clusters were identified. The m6A clusters were significantly associated with clinical features, prognosis, and immune cell infiltration. The three clusters were highly consistent with the three tumor immune phenotypes, i.e., immune-excluded, immune-inflamed, and immune-desert. Comprehensive bioinformatics analysis revealed that high m6Ascore was closely associated with tumor progression, poor prognosis, and immunotherapy non-response. m6A regulators were dysregulated in HCC tissues. Hence, they play a role as predictors of poor prognosis. Tissue microarray demonstrated that overexpressed YTHDF1 was associated with low CD3+ and CD8+ T cell infiltration in HCC.Conclusion: Our findings demonstrate that m6A modification patterns play a crucial role in the tumor immune microenvironment and the prognosis of HCC. High YTHDF1 expression is closely associated with low CD3+ and CD8+ T cell infiltration in HCC.

scholarly journals Comprehensive Analysis of Pyroptosis-Related Genes and Tumor Microenvironment Infiltration Characterization in Breast Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
JianBin Wu ◽  
Yuanyuan Zhu ◽  
MingMin Luo ◽  
Lei Li
Keyword(s):  
Breast Cancer ◽  
Tumor Microenvironment ◽  
Tumor Progression ◽  
Immune Checkpoint ◽  
Immune Cell ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Clinical Prognosis ◽  
The Relationship ◽  
Single Tumor

BackgroundImmunotherapy has emerged as a significant strategy to treat numerous tumors. The positive response to immunotherapy depends on the dynamic interaction between tumor cells and infiltrating lymphocytes in the tumor microenvironment (TME). Pyroptosis, inflammation-induced cell death, is intricately associated with several tumors. However, the relationship between pyroptosis and clinical prognosis, immune cell infiltration, and immunotherapy effect is unclear in breast cancer (BRCA).MethodsWe comprehensively evaluated 33 pyroptosis-related genes and systematically assessed the relationship between pyroptosis and tumor progression, prognosis, and immune cell infiltration. The PyroptosisScore was used to quantify the pyroptosis pattern of a single tumor patient. We then assessed their values for predicting prognoses and therapeutic responses in BRCA.ResultsThree different modes of PyroptosisClusters were determined. The characteristics of TME cell infiltration in these three PyroptosisClusters were highly consistent with three immunophenotypes of tumors, including immune-excluded, immune-inflamed, and immune-desert phenotypes. Comprehensive bioinformatics analysis revealed that patients with a low PyroptosisScore had higher immune checkpoint expression, higher immune checkpoint inhibitor (ICI) scores, increased immune microenvironment infiltration, and were more sensitive to immunotherapy than those with a high PyroptosisScore.ConclusionsOur findings revealed the crucial role of pyroptosis in maintaining the diversity and complexity of TME. Pyroptosis is closely related to tumor progression, tumor prognosis, and immunotherapy response. Evaluating the PyroptosisScore of a single tumor can assist in understanding the characteristics of TME infiltration and lead to the development of more effective immunotherapy strategies.

scholarly journals Single cell transcriptomics reveals the effect of PD-L1/TGF-β blockade on the tumor microenvironment

2020 ◽  
Author(s):  
Yoong Wearn Lim ◽  
Garry L. Coles ◽  
Savreet K. Sandhu ◽  
David S. Johnson ◽  
Adam S. Adler ◽  
...  
Keyword(s):  
T Cell ◽  
Tumor Microenvironment ◽  
Single Cell ◽  
Immune Cell ◽  
Single Cells ◽  
Cell Infiltration ◽  
Cytotoxic Lymphocytes ◽  
T Cell Infiltration ◽  
Anti Tumor Activity

AbstractBackgroundThe anti-tumor activity of anti-PD-1/PD-L1 therapies correlates with T cell infiltration in tumors. Thus, a major goal in oncology is to find strategies that enhance T cell infiltration and efficacy of anti-PD-1/PD-L1 therapy. TGF-β has been shown to contribute to T cell exclusion and anti-TGF-β improves anti-PD-L1 efficacy in vivo. However, TGF-β inhibition has frequently been shown to induce toxicity in the clinic, and the clinical efficacy of combination PD-L1 and TGF-β blockade has not yet been proven. To identify strategies to overcome resistance to PD-L1 blockade, the transcriptional programs associated with PD-L1 and/or TGF-β blockade in the tumor microenvironment should be further elucidated.ResultsFor the first time, we used single-cell RNA sequencing to characterize the transcriptomic effects of PD-L1 and/or TGF-β blockade on nearly 30,000 single cells in the tumor and surrounding microenvironment. Combination treatment led to upregulation of immune response genes, including multiple chemokine genes such as CCL5, in CD45+ cells, and down-regulation of extracellular matrix genes in CD45-cells. Analysis of publicly available tumor transcriptome profiles showed that the chemokine CCL5 was strongly associated with immune cell infiltration in various human cancers. Further investigation with in vivo models showed that intratumorally administered CCL5 enhanced cytotoxic lymphocytes and the anti-tumor activity of anti-PD-L1.ConclusionsTaken together, our data could be leveraged translationally to improve anti-PD-L1 plus anti-TGF-β combination therapy, for example through companion biomarkers, and/or to identify novel targets that could be modulated to overcome resistance.

Tumor-derived GDF-15 to suppress t-lymphocyte recruitment to the tumor microenvironment resulting in resistance to ANTI-PD-1 treatment.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e14532-e14532
Author(s):  
Joerg Wischhusen ◽  
Markus Haake ◽  
Neha Vashist ◽  
Sabrina Genßler ◽  
Kilian Wistuba-Hamprecht ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Immune Cell ◽  
Serum Levels ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
T Cell Infiltration ◽  
Melanoma Patients

e14532 Background: Growth and differentiation factor 15 (GDF-15) is a divergent member of the TGF-β superfamily with low to absent expression in healthy tissue. GDF-15 has been linked to feto-maternal immune tolerance, to prevention of excessive immune cell infiltration during tissue damage, and to anorexia. Various major tumor types secrete high levels of GDF-15. In cancer patients, elevated GDF-15 serum levels correlate with poor prognosis and reduced overall survival (OS). Methods: Impact of a proprietary GDF-15 neutralizing antibody (CTL-002) regarding T cell trafficking was analyzed by whole blood adhesion assays, a HV18-MK melanoma-bearing humanized mouse model and a GDF-15-transgenic MC38 model. Additionally, patient GDF-15 serum levels were correlated with clinical response and overall survival in oropharyngeal squamous cell carcinoma (OPSCC) and melanoma brain metastases. Results: In whole blood cell adhesion assays GDF-15 impairs adhesion of T and NK cells to activated endothelial cells. Neutralization of GDF-15 by CTL-002 rescued T cell adhesion. In HV18-MK-bearing humanized mice CTL-002 induced a strong increase in TIL numbers. Subset analysis revealed an overproportional enrichment of T cells, in particular CD8+ T cells. As immune cell exclusion is detrimental for checkpoint inhibitor (CPI) therapy, a GDF-15-transgenic MC38 model was tested for anti-PD-1 therapy efficacy. In GDF-15 overexpressing MC38 tumors response to anti PD-1 therapy was reduced by 90% compared to wtMC38 tumors. Combining aPD-1 with CTL-002 resulted in 50% of the mice rejecting their GDF-15 overexpressing tumors. Clinically, inverse correlations of GDF-15 levels with CD8+ T cell infiltration were shown for HPV+ OPSCC and for melanoma brain metastases. GDF-15 serum levels were significantly higher in HPV- than in HPV+ OPSCC patient (p < 0.0001). Low GDF-15 levels corresponded to longer OS in both HPV- and HPV+ OPSCC. In two independent melanoma patient cohorts treated with nivolumab or pembrolizumab low baseline serum GDF-15 levels were predictive for clinical response to anti-PD1 treatment and superior OS. Bivariate analysis including LDH indicates that GDF-15 independently predicts poor survival in aPD-1 treated melanoma patients. Conclusions: Taken together our in vitro and in vivo data show that elevated GDF-15 levels block T-cell infiltration into tumor tissues. Neutralizing GDF-15 with CTL-002 restores the ability of T cells to extravasate blood vessels and enter tumor tissue both in vitro and in vivo. In melanoma, patients with higher GDF-15 levels have significantly shorter survival and are less likely to respond to anti-PD1 therapy. GDF-15 may thus serve as a new predictive biomarker for anti-PD1 response, but most importantly also represents a novel target for cancer immunotherapy to improve tumor immune cell infiltration and response to anti-PD1 therapy.

scholarly journals Higher cytolytic score correlates with an immunosuppressive tumor microenvironment and reduced survival in glioblastoma

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Alexander F. Haddad ◽  
Jia-Shu Chen ◽  
Taemin Oh ◽  
Matheus P. Pereira ◽  
Rushikesh S. Joshi ◽  
...  
Keyword(s):  
T Cell ◽  
Immune Cell ◽  
Cell Types ◽  
Cd8 T Cell ◽  
The Cancer Genome Atlas ◽  
Cell Infiltration ◽  
Sequencing Data ◽  
Gene Score ◽  
T Cell Infiltration ◽  
The Relationship

Abstract Cytolytic score (CYT), calculated from mRNA expression levels of granzyme and perforin, positively correlates with CD8+ T cell infiltration/activity in a variety of cancers. Unlike other cancers, higher CYT has been associated with worse prognosis in glioblastoma (GBM). To address this discrepancy, we sought to investigate the relationship between CYT and immune checkpoint gene score (ICGscore), as well as their correlation with patient survival and tumor immune cell infiltration. Clinical and RNA-sequencing data for patients with newly diagnosed GBM were obtained from The Cancer Genome Atlas. Maximally-selected rank statistics was used to dichotomize subgroups. CIBERSORT was used to estimate abudence of immune cell-types. Spearman correlation was used to characterize the relationship between CYT and ICGscore. Kaplan–Meier curves were generated for survival analysis. Overall, 28/151 patients had high CYT. High CYT was associated with a mesenchymal subtype (p < 0.001) and worse survival (7.45 vs. 12.2 months, p < 0.001). There were no differences in patient demographics, IDH/MGMT mutation status, or treatment. On subgroup analysis, patients with high CYT/ICGscore had significantly increased CD8+ infiltration (p < 0.001), as expected, and worse survival (HR 0.445, p < 0.01). Furthermore, CYT strongly correlated with ICGscore (RS = 0.675, p < 0.001). The high CYT/ICGscore subgroup was associated with greater infiltration of M2 macrophages (p = 0.011) and neutrophils (p = 0.055). Our study highlights a multidimensional immunosuppressive GBM microenvironment in patients with higher CYT and potentially identifies patients with high CYT/ICGscore as a subgroup that may particularly benefit from multi-faceted immunotherapies, given their already elevated tumor CD8+ T cell levels.

scholarly journals Epigenetic and Immune-Cell Infiltration Changes in the Tumor Microenvironment in Hepatocellular Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Zeng-Hong Wu ◽  
Dong-Liang Yang ◽  
Liang Wang ◽  
Jia Liu
Keyword(s):  
T Cell ◽  
Tumor Microenvironment ◽  
Immune Cell ◽  
Treatment Resistance ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Lasso Regression ◽  
Loss Of Function ◽  
Protein Protein Interaction ◽  
Novel Biomarkers

BackgroundEpigenetics regulate gene expression without altering the DNA sequence. Epigenetics targeted chemotherapeutic approach can be used to overcome treatment resistance and low response rate in HCC. However, a comprehensive review of genomic data was carried out to determine the role of epigenesis in the tumor microenvironment (TME), immune cell-infiltration characteristics in HCC is still insufficient.MethodsThe association between epigenetic-related genes (ERGs), inflammatory response-related genes (IRRGs) and CRISPR genes was determined by merging genomic and CRISPR data. Further, characteristics of immune-cell infiltration in the tumor microenvironment was evaluated.ResultsNine differentially expressed genes (ANP32B, ASF1A, BCORL1, BMI1, BUB1, CBX2, CBX3, CDK1, and CDK5) were shown to be independent prognostic factors based on lasso regression in the TCGA-LIHC and ICGC databases. In addition, the results showed significant differences in expression of PDCD-1 (PD-1) and CTLA4 between the high- and low-epigenetic score groups. The CTRP and PRISM-derived drug response data yielded four CTRP-derived compounds (SB-743921, GSK461364, gemcitabine, and paclitaxel) and two PRISM-derived compounds (dolastatin-10 and LY2606368). Patients with high ERGs benefited more from immune checkpoint inhibitor (ICI) therapy than patients with low ERGs. In addition, the high ERGs subgroup had a higher T cell exclusion score, while the low ERGs subgroup had a higher T cell dysfunction. However, there was no difference in microsatellite instability (MSI) score among the two subgroups. Further, genome-wide CRISPR-based loss-of function screening derived from DepMap was conducted to determine key genes leading to HCC development and progression. In total, 640 genes were identified to be essential for survival in HCC cell lines. The protein-protein interaction (PPI) network demonstrated that IRRGs PSEN1 was linked to most ERGs and CRISPR genes such as CDK1, TOP2A, CBX2 and CBX3.ConclusionEpigenetic alterations of cancer-related genes in the tumor microenvironment play a major role in carcinogenesis. This study showed that epigenetic-related novel biomarkers could be useful in predicting prognosis, clinical diagnosis, and management in HCC.

High Expression of Mitochondrial Autophagy-Related Gene FUNDC1 is Associated with Poor Prognosis of Colon Cancer and Defective Immune Cell Infiltration

2021 ◽  
Author(s):  
Yu Guo ◽  
Jian Shi ◽  
Shuang Wang ◽  
Zeyun Zhao ◽  
An Shang ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Poor Prognosis ◽  
Immune Cell ◽  
Univariate Analysis ◽  
Cell Infiltration ◽  
Clinicopathological Parameters ◽  
Immune Cell Infiltration ◽  
Sequencing Data ◽  
The Poor ◽  
The Relationship

Abstract Background: Mitochondrial dysfunction is related to the occurrence and development of many diseases. FUNDC1 has attracted attention as a receptor related to mitochondrial autophagy. Colorectal cancer is the fourth most commonly diagnosed cancer. This article uses bioinformatics analysis to study the relationship between FUNDC1 and immune cell infiltration and prognosis of colon cancer. Methods: The RNA sequencing data and detailed clinical prognostic information resources of 478 COAD samples in the TCGA database were included in the study. Two data sets (GSE37364, GSE110224) from the GEO database were selected for verification. Using Kaplan - Meier curves, univariate analysis and multivariate survival analysis to assess the relationship FUNDC1 level of expression and clinicopathological parameters and overall survival. The protein-protein interaction network of FUNDC1 was constructed by String and GeneMANIA databases. Screen the genes co-expressed with FUNDC1 in Oncomine and GEPIA. And use the TIMER database and GEPIA to explore the relationship between FUNDC1 and immune cell infiltration and surface markers. Results: FUNDC1 is obviously highly expressed in tumor samples and is related to the poor prognosis of patients. Univariate and multivariate analysis showed that FUNDC1 was related to advanced TNM staging. FUNDC1 mainly interacts with mitochondrial autophagy-related proteins. FUNDC1 is related to immune infiltration and mainly affects CD8+ T cells and macrophages. Conclusion: The research has proved that FUNDC1 is closely related to the infiltration of tumor microenvironment immune cells in COAD samples and to the poor prognosis of COAD patients, which may provide new treatment ideas and targets.

scholarly journals Characteristics of immune cell infiltration landscape in colorectal cancer to Aid in Immunotherapy

2021 ◽  
Author(s):  
Fei Kuang ◽  
De Luo ◽  
Mengjia Zhou ◽  
Juan Du ◽  
Yuee Liu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
T Cell ◽  
Cancer Progression ◽  
Immune Cells ◽  
Immune Cell ◽  
Clinical Work ◽  
Cell Infiltration ◽  
Cancer Type ◽  
Immune Cell Infiltration ◽  
T Cell Infiltration

Abstract The tumor microenvironment (TME) is a complex environment composed of a variety of stromal cells and immune cells that infiltrate the tumor space. Recent clinical work has clearly shown such intratumoral immune cell infiltration (ICI) to be closely related to colorectal cancer (CRC) patient survival, yet the specific landscape of infiltrating immune cells associated with this cancer type remains to be clarified. We utilized two computational algorithms to evaluate the ICI status of 712 CRC patients, stratifying these patients into two ICI status-based patterns and assigning ICI scores through the use of principal component analyses. We found that the overall survival (OS) of patients with higher ICI scores was significantly longer than that of patients with low ICI scores. When ICI scores were combined with the results of tumor mutational burden (TMB) analyses, we determined that CRC patients with both high ICI scores and low TMB exhibited the best survival outcomes. High expression of MARCO in those patients with low ICI scores was correlated with reduced natural killer (NK) and effector T cell infiltration and with increased regulatory T cell infiltration, suggesting that these factors may be linked to poor patient prognosis. These results suggest ICI scores to be a valuable biomarker for the prognostic evaluation of CRC patients. Future efforts to analyze the ICI patterns of larger patient sample cohorts will help to extend these analyses, offering new insights into the role of the TME in cancer progression while highlighting novel immunotherapeutic approaches to treating this cancer type.

scholarly journals N6-Methyladenosine Related Long Non-Coding RNAs and Immune Cell Infiltration in the Tumor Microenvironment of Gastric Cancer

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Zhong lin Yu ◽  
Zheng ming Zhu
Keyword(s):  
Gastric Cancer ◽  
Tumor Microenvironment ◽  
Prognostic Model ◽  
Tumor Tissue ◽  
Immune Cell ◽  
Cell Infiltration ◽  
Immune Cell Infiltration ◽  
Non Coding Rnas ◽  
The Relationship ◽  
Cluster 2

Abstract Aim To illustrate the influence of N6-methyladenosine long non-coding RNAs and immune cell infiltration in gastric cancer. Methods We downloaded workflow-type data and clinical data from The Cancer Genome Atlas project. The relationship of lncRNA and m6A was identified. Kyoto Encyclopedia of Genes and Genomes gene expression enrichment analysis was performed. Lasso regression was utilized to construct a prognostic model. Survival analysis to explore the relationship between m6A lncRNA and clinical survival data. Differential analysis of the tumor microenvironment and immune correlation analysis to determine immune cell infiltration levels and their correlation with clinical prognosis. Results Co-expression analysis indicated that lncRNA expression was associated closely with m6A. m6A-lncRNAs were partially highly expressed in tumor tissue and could be used in a prognostic model to predict GC prognosis, independent of other clinical characteristics. “ADIPPOCYTOKINE SIGNALING PATHWAY” was most significantly enriched according to GSEA. ACBD3-AS1 was overexpressed in tumor tissue. Naïve B cell, Plasma cells, resting CD4 memory T cell were highly infiltrated tissues in cluster 2, while Macrophages M2, resting Mast cells, Monocytes, regulates T cells were lowly in cluster 1. All related scores were higher in cluster 2, indicating a lower purity of tumor cells and higher density of immune-related cells in the tumor microenvironment. Conclusion m6A lncRNA is closely related to the occurrence and progression of GC. The corresponding prognostic model can be utilized to evaluate the prognosis of GC. m6A lncRNA and related immune cell infiltration in the tumor microenvironment can provide novel therapeutic targets for further research.

scholarly journals Single-cell transcriptomics reveals the effect of PD-L1/TGF-β blockade on the tumor microenvironment

BMC Biology ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yoong Wearn Lim ◽  
Garry L. Coles ◽  
Savreet K. Sandhu ◽  
David S. Johnson ◽  
Adam S. Adler ◽  
...  
Keyword(s):  
T Cell ◽  
Tumor Microenvironment ◽  
Single Cell ◽  
Immune Cell ◽  
Single Cells ◽  
Cell Infiltration ◽  
In Vivo Models ◽  
T Cell Infiltration ◽  
Anti Tumor Activity

Abstract Background The anti-tumor activity of anti-PD-1/PD-L1 therapies correlates with T cell infiltration in tumors. Thus, a major goal in oncology is to find strategies that enhance T cell infiltration and efficacy of anti-PD-1/PD-L1 therapy. TGF-β has been shown to contribute to T cell exclusion, and anti-TGF-β improves anti-PD-L1 efficacy in vivo. However, TGF-β inhibition has frequently been shown to induce toxicity in the clinic, and the clinical efficacy of combination PD-L1 and TGF-β blockade has not yet been proven. To identify strategies to overcome resistance to PD-L1 blockade, the transcriptional programs associated with PD-L1 and/or TGF-β blockade in the tumor microenvironment should be further elucidated. Results We used single-cell RNA sequencing in a mouse model to characterize the transcriptomic effects of PD-L1 and/or TGF-β blockade on nearly 30,000 single cells in the tumor and surrounding microenvironment. Combination treatment led to upregulation of immune response genes, including multiple chemokine genes such as CCL5, in macrophages, and downregulation of extracellular matrix genes in fibroblasts. Analysis of publicly available tumor transcriptome profiles showed that the chemokine CCL5 was strongly associated with immune cell infiltration in various human cancers. Further investigation with in vivo models showed that intratumorally administered CCL5 enhanced cytotoxic lymphocytes and the anti-tumor activity of anti-PD-L1. Conclusions Taken together, our data could be leveraged translationally to complement or find alternatives to anti-PD-L1 plus anti-TGF-β combination therapy, for example through companion biomarkers, and/or to identify novel targets that could be modulated to overcome resistance.

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