scholarly journals Tumor Immune Microenvironment during Epithelial-Mesenchymal Transition

2021 ◽  
pp. clincanres.4459.2020
Author(s):  
Mana Taki ◽  
Kaoru Abiko ◽  
Masayo Ukita ◽  
Ryusuke Murakami ◽  
Koji Yamanoi ◽  
...  
Keyword(s):  
Epithelial Mesenchymal Transition ◽  
Immune Microenvironment ◽  
Mesenchymal Transition ◽  
Tumor Immune Microenvironment

scholarly journals Tuft and Cancer Stem Cell Marker DCLK1: A New Target to Enhance Anti-Tumor Immunity in the Tumor Microenvironment

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3801
Author(s):  
Zhiyun Cao ◽  
Nathaniel Weygant ◽  
Parthasarathy Chandrakesan ◽  
Courtney W. Houchen ◽  
Jun Peng ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Epithelial Mesenchymal Transition ◽  
Stem Cell Marker ◽  
Biological Processes ◽  
Cancer Stem Cell Marker ◽  
Immune Microenvironment ◽  
Mesenchymal Transition ◽  
Anti Cancer ◽  
Tumor Immune Microenvironment ◽  
Small Molecular Inhibitors

Microtubule-associated doublecortin-like kinase 1 (DCLK1) is an accepted marker of tuft cells (TCs) and several kinds of cancer stem cells (CSCs), and emerging evidence suggests that DCLK1-positive TCs participate in the initiation and formation of inflammation-associated cancer. DCLK1-expressing CSCs regulate multiple biological processes in cancer, promote resistance to therapy, and are associated with metastasis. In solid tumor cancers, tumor epithelia, immune cells, cancer-associated fibroblasts, endothelial cells and blood vessels, extracellular matrix, and hypoxia all support a CSC phenotype characterized by drug resistance, recurrence, and metastasis. Recently, studies have shown that DCLK1-positive CSCs are associated with epithelial-mesenchymal transition, angiogenesis, and immune checkpoint. Emerging data concerning targeting DCLK1 with small molecular inhibitors, monoclonal antibodies, and chimeric antigen receptor T-cells shows promising effects on inhibiting tumor growth and regulating the tumor immune microenvironment. Overall, DCLK1 is reaching maturity as an anti-cancer target and therapies directed against it may have potential against CSCs directly, in remodeling the tumor microenvironment, and as immunotherapies.

scholarly journals Wnt/β-Catenin Signaling: The Culprit in Pancreatic Carcinogenesis and Therapeutic Resistance

2019 ◽  
Vol 20 (17) ◽  
pp. 4242 ◽  
Author(s):  
Monish Ram Makena ◽  
Himavanth Gatla ◽  
Dattesh Verlekar ◽  
Sahithi Sukhavasi ◽  
Manoj K. Pandey ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Cell Cycle Progression ◽  
Patient Survival ◽  
Epithelial Mesenchymal Transition ◽  
Ductal Adenocarcinoma ◽  
Steady Increase ◽  
Mesenchymal Transition ◽  
Pancreatic Carcinogenesis ◽  
Tumor Immune Microenvironment

Pancreatic ductal adenocarcinoma (PDAC) is responsible for 7.3% of all cancer deaths. Even though there is a steady increase in patient survival for most cancers over the decades, the patient survival rate for pancreatic cancer remains low with current therapeutic strategies. The Wnt/β-catenin pathway controls the maintenance of somatic stem cells in many tissues and organs and is implicated in pancreatic carcinogenesis by regulating cell cycle progression, apoptosis, epithelial-mesenchymal transition (EMT), angiogenesis, stemness, tumor immune microenvironment, etc. Further, dysregulated Wnt has been shown to cause drug resistance in pancreatic cancer. Although different Wnt antagonists are effective in pancreatic patients, limitations remain that must be overcome to increase the survival benefits associated with this emerging therapy. In this review, we have summarized the role of Wnt signaling in pancreatic cancer and suggested future directions to enhance the survival of pancreatic cancer patients.

scholarly journals An independent poor-prognosis subtype of breast cancer defined by a distinct tumor immune microenvironment

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Xavier Tekpli ◽  
◽  
Tonje Lien ◽  
Andreas Hagen Røssevold ◽  
Daniel Nebdal ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Epithelial Mesenchymal Transition ◽  
Cell Phenotype ◽  
Breast Cancers ◽  
Mesenchymal Transition ◽  
Immune Infiltration ◽  
Prognostic Accuracy ◽  
Tumor Immune Microenvironment ◽  
Immune Contexture ◽  
Tumor Phenotype

AbstractHow mixtures of immune cells associate with cancer cell phenotype and affect pathogenesis is still unclear. In 15 breast cancer gene expression datasets, we invariably identify three clusters of patients with gradual levels of immune infiltration. The intermediate immune infiltration cluster (Cluster B) is associated with a worse prognosis independently of known clinicopathological features. Furthermore, immune clusters are associated with response to neoadjuvant chemotherapy. In silico dissection of the immune contexture of the clusters identified Cluster A as immune cold, Cluster C as immune hot while Cluster B has a pro-tumorigenic immune infiltration. Through phenotypical analysis, we find epithelial mesenchymal transition and proliferation associated with the immune clusters and mutually exclusive in breast cancers. Here, we describe immune clusters which improve the prognostic accuracy of immune contexture in breast cancer. Our discovery of a novel independent prognostic factor in breast cancer highlights a correlation between tumor phenotype and immune contexture.

Epithelial-Mesenchymal Transition Inversely Associates With Immune Activity in Breast Cancer Tumour Immune Microenvironment

2021 ◽  
Author(s):  
Hamidreza Aboulkheyr Es ◽  
Amir Reza Aref ◽  
Arutha Kulasinghe ◽  
Thomas R. Cox ◽  
Jean Paul Thiery ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Epithelial Mesenchymal Transition ◽  
Immune Microenvironment ◽  
Mesenchymal Transition ◽  
Immune Activity

scholarly journals Identification of Epithelial-Mesenchymal Transition-Related lncRNAs that Associated With the Prognosis and Immune Microenvironment in Colorectal Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Chuan Liu ◽  
Chuan Hu ◽  
Jianyi Li ◽  
Liqing Jiang ◽  
Chengliang Zhao
Keyword(s):  
Colorectal Cancer ◽  
Functional Analysis ◽  
Cox Regression ◽  
Epithelial Mesenchymal Transition ◽  
Risk Group ◽  
Differential Expression Analysis ◽  
Disease Free Survival ◽  
Immune Microenvironment ◽  
Mesenchymal Transition ◽  
Kaplan Meier

Background: The expression of long non-coding RNA (lncRNA) is associated with the epithelial-mesenchymal transition (EMT) in tumorigenicity, but the role of EMT-related lncRNA in colorectal cancer (CRC) remains unclear.Methods: The clinical data and gene expression profile of CRC patients were obtained from The Cancer Genome Atlas database. Differential expression analysis, Cox regression model, and Kaplan-Meier analysis were used to study the relationship between EMT-related lncRNAs and the prognosis of CRC. Functional analysis and unsupervised clustering analysis were performed to explore the influence of certain lncRNAs on CRC. Finally, Cytoscape was used to construct mRNA-lncRNA networks.Results: Two signatures incorporating six and ten EMT-related lncRNAs were constructed for predicting the overall survival (OS) and disease-free survival (DFS), respectively. Kaplan-Meier survival curves indicated that patients in the high-risk group had a poorer prognosis than those in the low-risk group. The results of the functional analysis suggested that the P53 and ECM-receptor pathways affect the prognosis of CRC, and AL591178.1 is a key prognostic EMT-related lncRNA, which is negatively related to immune cells, P53 pathway, and ECM-receptor pathway.Conclusion: Six OS-related and ten DFS-related EMT-related lncRNAs were correlated with the prognosis of CRC by potentially affecting the immune microenvironment, and AL591178.1 plays a key role as a prognostic factor.

scholarly journals Identification of Epithelial Mesenchymal Transition-Related lncRNAs Associated with Prognosis and Tumor Immune Microenvironment of Hepatocellular Carcinoma

2022 ◽  
Vol 2022 ◽  
pp. 1-17
Author(s):  
Yongjie Zhou ◽  
Liangwen Wang ◽  
Wen Zhang ◽  
Jingqin Ma ◽  
Zihan Zhang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Clustering Analysis ◽  
Roc Curves ◽  
Unsupervised Clustering ◽  
Gene Set Enrichment Analysis ◽  
Prognostic Models ◽  
Immune Microenvironment ◽  
Mesenchymal Transition ◽  
Kaplan Meier ◽  
Tumor Immune Microenvironment

Purpose. The long noncoding RNAs (lncRNAs) play the important role in tumor occurrence and progression, and the epithelial to mesenchymal transition (EMT) is the critical process for tumor migration. However, the role of EMT-related lncRNA in hepatocellular carcinoma (HCC) has not been elucidated. Methods. In this study, we selected the EMT-related lncRNAs in HCC by using data from The Cancer Genome Atlas database (TCGA). Two prognostic models of the overall survival (OS) and relapse-free survival (RFS) were constructed and validated through Cox regression model, Kaplan-Meier analysis, and the receiver-operating characteristic (ROC) curves. The unsupervised clustering analysis was utilized to investigate the association between EMT-lncRNAs with tumor immune microenvironment. ESTIMATE algorithm and gene set enrichment analysis (GSEA) were used to estimate tumor microenvironment and associated KEGG pathways. Results. Two EMT-related lncRNA prognostic models of OS and RFS were constructed. Kaplan-Meier curves showed the dismal prognosis of OS and RFS in the group with high-risk score. The ROC curves and AUC values in two prognostic models indicated the discriminative value in the training set and validation set. Patients with HCC were clustered into two subgroups according the unsupervised clustering analysis. Lnc-CCNY-1 was selected as the key lncRNA. GSVA analysis showed that lnc-CCNY-1 was negatively associated with peroxisome proliferator-activated receptor (PPAR) signaling pathway and positively correlated with CELL cycle pathway. Conclusion. Two EMT-related lncRNA prognostic models of OS and RFS were constructed to discriminate patients and predict prognosis of HCC. EMT-related lncRNAs may play a role on prognosis of HCC by influencing the immune microenvironment. Lnc-CCNY-1 was selected as the key EMT-related lncRNA for further exploration.

scholarly journals Targeting the ARNTL2 Gene as a Potential Strategy for Lung Adenocarcinoma

2021 ◽  
Author(s):  
Huan Zhang ◽  
Ming Li ◽  
Xiangyang Yu ◽  
Guangyao Shan ◽  
Xing Jin ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Epithelial Mesenchymal Transition ◽  
Malignant Tumors ◽  
Mesenchymal Transition ◽  
Adenocarcinoma Cells ◽  
Tumor Immune Microenvironment ◽  
N Stage ◽  
Potential Strategy ◽  
The Relationship

Abstract The relationship between biorhythm and cancer has been increasingly reported in recent years. As one of the core transcription factors of biorhythm, ARNTL2 is thought to be implicated in the occurrence and development of many malignant tumors, such as breast cancer. However, the role of ARNTL2 in lung adenocarcinoma remains elusive. In the current study, we found that expression of ARNTL2 was markedly upregulated in lung adenocarcinoma, and high ARNTL2 expression was correlated with advanced N stage and poor survival in patients. Moreover, ARNTL2 expression levels are closely associated with many important features of lung adenocarcinoma, such as tumor immune microenvironment, ferroptosis, microsatellite instability, tumor mutational load, and drug sensitivity. ARNTL2 could also promote proliferation, invasion, and metastasis of lung adenocarcinoma cells. In addition, we found that high ARNTL2 expression might promote epithelial-mesenchymal transition, metastasis and promotion of angiogenesis of tumor cells. In conclusion, our study reveals that ARNTL2 is a prognostic and promising therapeutic biomarker for people with lung adenocarcinoma.

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