scholarly journals Identification, Validation, and Utilization of Immune Cells in Pancreatic Ductal Adenocarcinoma Based on Marker Genes

2021 ◽  
Vol 12 ◽  
Author(s):  
Willem de Koning ◽  
Diba Latifi ◽  
Yunlei Li ◽  
Casper H. J. van Eijck ◽  
Andrew P. Stubbs ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Immune Cells ◽  
Immune Cell ◽  
Ductal Adenocarcinoma ◽  
Marker Genes ◽  
Cell Type ◽  
Tissue Samples ◽  
Immune Cell Type ◽  
Different Types ◽  
Pdac Tissue

The immune response affects tumor biological behavior and progression. The specific immune characteristics of pancreatic ductal adenocarcinoma (PDAC) can determine the metastatic abilities of cancerous cells and the survival of patients. Therefore, it is important to characterize the specific immune landscape in PDAC tissue samples, and the effect of various types of therapy on that immune composition. Previously, a set of marker genes was identified to assess the immune cell composition in different types of cancer tissue samples. However, gene expression and subtypes of immune cells may vary across different types of cancers. The aim of this study was to provide a method to identify immune cells specifically in PDAC tissue samples. The method is based on defining a specific set of marker genes expressed by various immune cells in PDAC samples. A total of 90 marker genes were selected and tested for immune cell type-specific definition in PDAC; including 43 previously used, and 47 newly selected marker genes. The immune cell-type specificity was checked mathematically by calculating the “pairwise similarity” for all candidate genes using the PDAC RNA-sequenced dataset available at The Cancer Genome Atlas. A set of 55 marker genes that identify 22 different immune cell types for PDAC was created. To validate the method and the set of marker genes, an independent mRNA expression dataset of 24 samples of PDAC patients who received various types of (neo)adjuvant treatments was used. The results showed that by applying our method we were able to identify PDAC specific marker genes to characterize immune cell infiltration in tissue samples. The method we described enabled identifying different subtypes of immune cells that were affected by various types of therapy in PDAC patients. In addition, our method can be easily adapted and applied to identify the specific immune landscape in various types of tissue samples.

scholarly journals The Crosstalk Between Malignant Cells and Tumor-Promoting Immune Cells Relevant to Immunotherapy in Pancreatic Ductal Adenocarcinoma

2022 ◽  
Vol 9 ◽  
Author(s):  
Xuefei Liu ◽  
Ziwei Luo ◽  
Xuechen Ren ◽  
Zhihang Chen ◽  
Xiaoqiong Bao ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Rna Sequencing ◽  
Immune Cells ◽  
Immune Checkpoint ◽  
Immune Cell ◽  
Immune Checkpoint Blockade ◽  
Ductal Adenocarcinoma ◽  
Malignant Cells ◽  
Sequencing Data ◽  
Immunosuppressive Microenvironment

Background: Pancreatic ductal adenocarcinoma (PDAC) is dominated by an immunosuppressive microenvironment, which makes immune checkpoint blockade (ICB) often non-responsive. Understanding the mechanisms by which PDAC forms an immunosuppressive microenvironment is important for the development of new effective immunotherapy strategies.Methods: This study comprehensively evaluated the cell-cell communications between malignant cells and immune cells by integrative analyses of single-cell RNA sequencing data and bulk RNA sequencing data of PDAC. A Malignant-Immune cell crosstalk (MIT) score was constructed to predict survival and therapy response in PDAC patients. Immunological characteristics, enriched pathways, and mutations were evaluated in high- and low MIT groups.Results: We found that PDAC had high level of immune cell infiltrations, mainly were tumor-promoting immune cells. Frequent communication between malignant cells and tumor-promoting immune cells were observed. 15 ligand-receptor pairs between malignant cells and tumor-promoting immune cells were identified. We selected genes highly expressed on malignant cells to construct a Malignant-Immune Crosstalk (MIT) score. MIT score was positively correlated with tumor-promoting immune infiltrations. PDAC patients with high MIT score usually had a worse response to immune checkpoint blockade (ICB) immunotherapy.Conclusion: The ligand-receptor pairs identified in this study may provide potential targets for the development of new immunotherapy strategy. MIT score was established to measure tumor-promoting immunocyte infiltration. It can serve as a prognostic indicator for long-term survival of PDAC, and a predictor to ICB immunotherapy response.

scholarly journals Epigenetic Quantification of Circulating Immune Cells in Peripheral Blood of Triple-Negative Breast Cancer patients

2021 ◽  
Author(s):  
Mehdi Manoochehri ◽  
Thomas Hielscher ◽  
Nasim Borhani ◽  
Clarissa Gerhäuser ◽  
Olivia Fletcher ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Triple Negative Breast Cancer ◽  
Immune Cells ◽  
Triple Negative ◽  
Immune Cell ◽  
Nk Cell ◽  
Cell Type ◽  
Cell Ratio ◽  
Immune Cell Type

Abstract Background: A shift in the proportions of blood immune cells is a hallmark of cancer development. Here, we investigated whether methylation-derived immune cell type ratios and methylation-derived neutrophil-to-lymphocyte ratios (mdNLRs) are associated with triple-negative breast cancer (TNBC). Methods: Leukocyte subtype-specific un/methylated CpG sites were selected and methylation levels at these sites used as proxies for immune cell type proportions and mdNLR estimation in 231 TNBC cases and 231 age-matched controls. Data were validated using the Houseman deconvolution method. Additionally, the natural killer (NK) cell ratio was measured in a prospective sample set of 146 TNBC cases and 146 age-matched controls. Results: The mdNLRs were higher in TNBC cases compared with controls and associated with TNBC (odds ratio (OR) range (2.66-4.29), all Padj.<1e-04). A higher neutrophil ratio and lower ratios of NK cells, CD4+ T cells, CD8+ T cells, monocytes, and B cells were associated with TNBC. The strongest association was observed with decreased NK cell ratio (OR range (1.28-1.42), all Padj.<1e-04). The NK cell ratio was also significantly lower in pre-diagnostic samples of TNBC cases compared with controls (P=0.019).Conclusion: This immunomethylomic study shows that a shift in the ratios/proportions of leukocyte subtypes is associated with TNBC, with decreased NK cell showing the strongest association. These findings improve our knowledge of the role of the immune system in TNBC and point to the possibility of using NK cell level as a non-invasive molecular marker for TNBC risk assessment, early detection, and prevention.

scholarly journals Nerve fibers in the Tumor Microenvironment are co-localized with Tertiary Lymphoid Structures

2020 ◽  
Author(s):  
Lara R. Heij ◽  
Xiuxiang Tan ◽  
Jakob N. Kather ◽  
Jan M. Niehues ◽  
Shivan Sivakumar ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Immune Cells ◽  
Immune Cell ◽  
Nerve Fibers ◽  
Ductal Adenocarcinoma ◽  
Fiber Density ◽  
Tertiary Lymphoid Structures ◽  
Lymphoid Structures ◽  
Nerve Fiber Density ◽  
Small Nerve

ABSTRACTBackgroundB cells and tertiary lymphoid structures (TLS) are reported to be important in the improvement of survival of cancer patients. These secondary lymphoid organs have been associated with the generation of an anti-tumor response. Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer types and the stromal architecture shapes the intratumoral heterogeneity. The stroma of PDAC is a complex system in which crosstalk takes place between cancer-associated fibroblasts, immune cells, endothelial cells and the cancer cells. Besides immune cells and fibroblasts, there is some limited data about the influence of nerve fibers on cancer progression.Patients and methodsNerve Fiber Density (NFD) was analysed in our cohort of 188 patients with Pancreatic Ductal Adenocarcinoma who underwent pancreatic surgery. We used immunohistochemistry and multiplex imaging to phenotype the immune cell infiltrate. The cell detection classifier measured distance from immune cell to cancer gland and with a heat map we could count TLS. By using Machine learning we were able to define the spatial distribution and counting Tertiary Lymphoid Structures.ResultsHigh NFD is significantly associated with prolonged overall survival (HR 1.676 (95%CI 1.126,2.495) for low vs. high NFD, p-value 0.0109). The immune cells surrounding the nerve fibers were phenotyped in B cells, T cells and dendritic follicular cells, matching a TLS. Here we show that small nerve fibers are located at the TLS in Pancreatic Cancer and a high Nerve Fiber Density combined with more than 5 TLS is associated with a better survival (HR 0.388 (95%CI 0.218, 0.689).ConclusionThe co-localization of small nerve fibers with TLS is a new finding which has not been described before. However the precise roles of these TLS and nerve fibers remains unknown. These findings unravel future pathways and has the potential to reach new directions into already existing targeted therapy.

Integrated proteomics and phosphoproteomics reveal perturbed regulative pathways in pancreatic ductal adenocarcinoma

2021 ◽  
Author(s):  
Lianyuan Tao ◽  
Lijun Zhong ◽  
Yang Li ◽  
Deyu Li ◽  
Dianrong Xiu ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Ductal Adenocarcinoma ◽  
Tissue Samples ◽  
Pdac Tissue ◽  
Insight Into

This study provides a comprehensive insight into dysregulated regulative networks in PDAC tissue samples at the protein and phosphorylation levels.

scholarly journals Epigenetic quantification of circulating immune cells in peripheral blood of triple-negative breast cancer patients

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Mehdi Manoochehri ◽  
Thomas Hielscher ◽  
Nasim Borhani ◽  
Clarissa Gerhäuser ◽  
Olivia Fletcher ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Triple Negative Breast Cancer ◽  
Immune Cells ◽  
Triple Negative ◽  
Immune Cell ◽  
Nk Cell ◽  
Cell Type ◽  
Cell Ratio ◽  
Immune Cell Type

Abstract Background A shift in the proportions of blood immune cells is a hallmark of cancer development. Here, we investigated whether methylation-derived immune cell type ratios and methylation-derived neutrophil-to-lymphocyte ratios (mdNLRs) are associated with triple-negative breast cancer (TNBC). Methods Leukocyte subtype-specific unmethylated/methylated CpG sites were selected, and methylation levels at these sites were used as proxies for immune cell type proportions and mdNLR estimation in 231 TNBC cases and 231 age-matched controls. Data were validated using the Houseman deconvolution method. Additionally, the natural killer (NK) cell ratio was measured in a prospective sample set of 146 TNBC cases and 146 age-matched controls. Results The mdNLRs were higher in TNBC cases compared with controls and associated with TNBC (odds ratio (OR) range (2.66–4.29), all Padj. < 1e−04). A higher neutrophil ratio and lower ratios of NK cells, CD4 + T cells, CD8 + T cells, monocytes, and B cells were associated with TNBC. The strongest association was observed with decreased NK cell ratio (OR range (1.28–1.42), all Padj. < 1e−04). The NK cell ratio was also significantly lower in pre-diagnostic samples of TNBC cases compared with controls (P = 0.019). Conclusion This immunomethylomic study shows that a shift in the ratios/proportions of leukocyte subtypes is associated with TNBC, with decreased NK cell showing the strongest association. These findings improve our knowledge of the role of the immune system in TNBC and point to the possibility of using NK cell level as a non-invasive molecular marker for TNBC risk assessment, early detection, and prevention.

scholarly journals Epigenetic Quantification of Circulating Immune Cells in Peripheral Blood of Triple-negative Breast Cancer Patients

2021 ◽  
Author(s):  
Mehdi Manoochehri ◽  
Thomas Hielscher ◽  
Nasim Borhani ◽  
Clarissa Gerhäuser ◽  
Olivia Fletcher ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Triple Negative Breast Cancer ◽  
Immune Cells ◽  
Triple Negative ◽  
Immune Cell ◽  
Nk Cell ◽  
Cell Type ◽  
Cell Ratio ◽  
Immune Cell Type

Abstract Background: A shift in the proportions of blood immune cells is a hallmark of cancer development. Here, we investigated whether methylation-derived immune cell type ratios and methylation-derived neutrophil-to-lymphocyte ratios (mdNLRs) are associated with triple-negative breast cancer (TNBC). Methods: Leukocyte subtype-specific un/methylated CpG sites were selected and methylation levels at these sites used as proxies for immune cell type proportions and mdNLR estimation in 231 TNBC cases and 231 age-matched controls. Data were validated using the Houseman deconvolution method. Additionally, the natural killer (NK) cell ratio was measured in a prospective sample set of 146 TNBC cases and 146 age-matched controls. Results: The mdNLRs were higher in TNBC cases compared with controls and associated with TNBC (odds ratio (OR) range (2.66-4.29), all Padj.<1e-04). A higher neutrophil ratio and lower ratios of NK cells, CD4+ T cells, CD8+ T cells, monocytes, and B cells were associated with TNBC. The strongest association was observed with decreased NK cell ratio (OR range (1.28-1.42), all Padj.<1e-04). The NK cell ratio was also significantly lower in pre-diagnostic samples of TNBC cases compared with controls (P=0.019).Conclusion: This immunomethylomic study shows that a shift in the ratios/proportions of leukocyte subtypes is associated with TNBC, with decreased NK cell showing the strongest association. These findings improve our knowledge of the role of the immune system in TNBC and point to the possibility of using NK cell level as a non-invasive molecular marker for TNBC risk assessment, early detection, and prevention.

scholarly journals Application of the High-Throughput TAB-Array for the Discovery of Novel 5-Hydroxymethylcytosine Biomarkers in Pancreatic Ductal Adenocarcinoma

Epigenomes ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 16 ◽  
Author(s):  
Chang Zeng ◽  
Zhou Zhang ◽  
Jun Wang ◽  
Brian C-H Chiu ◽  
Lifang Hou ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Biomarker Discovery ◽  
Medical Center ◽  
Distribution Patterns ◽  
Regulatory Elements ◽  
The Cancer Genome Atlas ◽  
Ductal Adenocarcinoma ◽  
Marker Genes ◽  
Liquid Biopsies ◽  
Tissue Samples

The clinical outcomes of pancreatic ductal adenocarcinoma (PDAC) remain dismal, with an estimated five-year survival rate of less than 5%. Early detection and prognostic approaches, including robust biomarkers for PDAC, are critical for improving patient survival. Our goal was to explore the biomarker potential of 5-hydroxymethylcytosines (5hmC), an emerging epigenetic marker with a distinct role in cancer pathobiology, yet under-investigated, due largely to technical constraints relating to PDAC. The TET-assisted bisulfite (TAB)-Array assay represents state-of-the-art technology and was used to directly profile 5hmC at single-base resolution with the Illumina EPIC array (~850,000 cytosine modification sites) in 17 pairs of tumor/adjacent tissue samples from US patients collected at the University of Chicago Medical Center. The TAB-Array data were analyzed to explore the genomic distribution of 5hmC and evaluate whether 5hmC markers were differentially modified between tumors and adjacent tissues. We demonstrated distinctive distribution patterns of 5hmC in tissue samples from PDAC patients relative to cis-regulatory elements (e.g., histone modification marks for enhancers), indicating their potential gene regulatory relevance. Substantial differences in 5hmC-modified CpG sites were detected between tumors and adjacent tissues in genes related to cancer pathobiology. The detected 5hmC-contaning marker genes also showed prognostic value for overall survival in the US patients with PDAC from the Cancer Genome Atlas Project. This study demonstrated the technical feasibility of the TAB-Array approach in cancer biomarker discovery and the biomarker potential of 5hmC for PDAC. Future studies using tissues and/or liquid biopsies may include 5hmC as a potential epigenetic biomarker target for PDAC.

scholarly journals Gene expression markers of Tumor Infiltrating Leukocytes

2016 ◽  
Author(s):  
Patrick Danaher ◽  
Sarah Warren ◽  
Lucas Dennis ◽  
Leonard D’Amico ◽  
Andrew White ◽  
...  
Keyword(s):  
Gene Expression ◽  
Flow Cytometry ◽  
Single Cell ◽  
Immune Cells ◽  
Immune Cell ◽  
Expression Patterns ◽  
Cell Populations ◽  
Marker Genes ◽  
Cell Type ◽  
Single Cell Type

AbstractBackgroundAssays of the abundance of immune cell populations in the tumor microenvironment promise to inform immune oncology research and the choice of immunotherapy for individual patients. We propose to measure the intratumoral abundance of various immune cells populations with gene expression. In contrast to IHC and flow cytometry, gene expression assays yield high information content from a clinically practical workflow. Previous studies of gene expression in purified immune cells have reported hundreds of genes showing enrichment in a single cell type, but the utility of these genes in tumor samples is unknown. We describe a novel statistical method for using co-expression patterns in large tumor gene expression datasets to validate previously reported candidate cell type marker genes, and we use this method to winnow previously published gene lists down to a subset of high confidence marker genes.MethodsWe use co-expression patterns in 9986 samples from The Cancer Genome Atlas (TCGA) to validate previously reported cell type marker genes. We compare immune cell scores derived from these genes to measurements from flow cytometry and immunohistochemistry. We characterize the reproducibility of our cell scores in replicate runs of RNA extracted from FFPE tumor tissue.ResultsWe identify a list of 60 marker genes whose expression levels quantify 14 immune cell populations. Cell type scores calculated from these genes are concordant with flow cytometry and IHC readings, show high reproducibility in replicate RNA samples from FFPE tissue, and reveal an intricate picture of the immune infiltrate in TCGA. Most genes previously reported to be enriched in a single cell type have co-expression patterns inconsistent with cell type specificity.ConclusionsDue to their concise gene set, computational simplicity and utility in tumor samples, these cell type gene signatures may be useful in future discovery research and clinical trials to understand how tumors and therapeutic intervention shape the immune response.

scholarly journals Immune Cell Modulation of the Extracellular Matrix Contributes to the Pathogenesis of Pancreatic Cancer

Biomolecules ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 901
Author(s):  
Ramiz S. Ahmad ◽  
Timothy D. Eubank ◽  
Slawomir Lukomski ◽  
Brian A. Boone
Keyword(s):  
Pancreatic Cancer ◽  
Extracellular Matrix ◽  
Immune Cells ◽  
Immune Cell ◽  
Treatment Strategies ◽  
Stellate Cells ◽  
Pancreatic Stellate Cells ◽  
Ductal Adenocarcinoma ◽  
Cellular Mechanisms ◽  
Novel Treatment Strategies

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy with a five-year survival rate of only 9%. PDAC is characterized by a dense, fibrotic stroma composed of extracellular matrix (ECM) proteins. This desmoplastic stroma is a hallmark of PDAC, representing a significant physical barrier that is immunosuppressive and obstructs penetration of cytotoxic chemotherapy agents into the tumor microenvironment (TME). Additionally, dense ECM promotes hypoxia, making tumor cells refractive to radiation therapy and alters their metabolism, thereby supporting proliferation and survival. In this review, we outline the significant contribution of fibrosis to the pathogenesis of pancreatic cancer, with a focus on the cross talk between immune cells and pancreatic stellate cells that contribute to ECM deposition. We emphasize the cellular mechanisms by which neutrophils and macrophages, specifically, modulate the ECM in favor of PDAC-progression. Furthermore, we investigate how activated stellate cells and ECM influence immune cells and promote immunosuppression in PDAC. Finally, we summarize therapeutic strategies that target the stroma and hinder immune cell promotion of fibrogenesis, which have unfortunately led to mixed results. An enhanced understanding of the complex interactions between the pancreatic tumor ECM and immune cells may uncover novel treatment strategies that are desperately needed for this devastating disease.

scholarly journals Immune classification of clear cell renal cell carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sumeyye Su ◽  
Shaya Akbarinejad ◽  
Leili Shahriyari
Keyword(s):  
T Cells ◽  
Cd8 T Cells ◽  
Renal Cell ◽  
Cd4 T Cells ◽  
Immune Cell ◽  
Clear Cell ◽  
P Value ◽  
Cell Type ◽  
Primary Tumors ◽  
Immune Cell Type

AbstractSince the outcome of treatments, particularly immunotherapeutic interventions, depends on the tumor immune micro-environment (TIM), several experimental and computational tools such as flow cytometry, immunohistochemistry, and digital cytometry have been developed and utilized to classify TIM variations. In this project, we identify immune pattern of clear cell renal cell carcinomas (ccRCC) by estimating the percentage of each immune cell type in 526 renal tumors using the new powerful technique of digital cytometry. The results, which are in agreement with the results of a large-scale mass cytometry analysis, show that the most frequent immune cell types in ccRCC tumors are CD8+ T-cells, macrophages, and CD4+ T-cells. Saliently, unsupervised clustering of ccRCC primary tumors based on their relative number of immune cells indicates the existence of four distinct groups of ccRCC tumors. Tumors in the first group consist of approximately the same numbers of macrophages and CD8+ T-cells and and a slightly smaller number of CD4+ T cells than CD8+ T cells, while tumors in the second group have a significantly high number of macrophages compared to any other immune cell type (P-value $$<0.01$$ < 0.01 ). The third group of ccRCC tumors have a significantly higher number of CD8+ T-cells than any other immune cell type (P-value $$<0.01$$ < 0.01 ), while tumors in the group 4 have approximately the same numbers of macrophages and CD4+ T-cells and a significantly smaller number of CD8+ T-cells than CD4+ T-cells (P-value $$<0.01$$ < 0.01 ). Moreover, there is a high positive correlation between the expression levels of IFNG and PDCD1 and the percentage of CD8+ T-cells, and higher stage and grade of tumors have a substantially higher percentage of CD8+ T-cells. Furthermore, the primary tumors of patients, who are tumor free at the last time of follow up, have a significantly higher percentage of mast cells (P-value $$<0.01$$ < 0.01 ) compared to the patients with tumors for all groups of tumors except group 3.

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