scholarly journals Logic-Based Modeling and Virtual Drug Screening for the Prediction of Novel Therapeutic Targets and Combination Regimens Against E2F1-driven Melanoma Progression

2021 ◽  
Author(s):  
Nivedita Singh ◽  
Faiz M Khan ◽  
Lakshmi Bala ◽  
Julio Vera ◽  
Olaf Wolkenhauer ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Regulatory Network ◽  
Epithelial Mesenchymal Transition ◽  
Therapeutic Targets ◽  
Compound Library ◽  
Mesenchymal Transition ◽  
Lead Compounds ◽  
Protein Signatures ◽  
Combination Regimens ◽  
Novel Therapeutic

Skin melanoma presents increasing prevalence and poor outcomes. Progression to aggressive stages is characterized by overexpression of the transcription factor E2F1 and activation of downstream pro-metastatic gene regulatory networks (GRNs). Appropriate therapeutic manipulation of the E2F1-governed GRNs holds potential to prevent metastasis, however these networks entail complex feedback and feedforward regulatory motifs among various regulatory layers, which challenge the characterization of drug targetablemake it difficult to identify druggable components. To this end, computational approaches such as mathematical modeling and virtual screening are important tools to unveil the dynamics of these signaling networks and comprehensively identify critical components that could be further explored as therapeutic targets. Herein, we integrated a well-established E2F1-mediated epithelial-mesenchymal transition (EMT) map with transcriptomics data from E2F1-expressing melanoma cells to reconstruct a core regulatory network underlying aggressive melanoma. Using logic-based in silico perturbation experiments of a core regulatory network, we identifiedy that simultaneous perturbation of AKT1 and MDM2 drastically reduces EMT in metastatic melanoma. Using the structures of the two protein signatures along with virtual screening of lead-like compound library available in ZINC12 database, we identified a number of lead compounds that efficiently inhibit AKT1 and MDM2 without eliciting toxicities. We propose that these compounds could be taken into account in the design of novel therapeutic strategies for the management of aggressive melanoma. were identified using virtual screening of lead-like compound library available in ZINC12 database. Subsequent high-throughput virtual screening of drug library using the structures of the two protein signatures predicted a number of lead compounds that efficiently inhibit AKT1 and MDM2 without eliciting toxicities. These can be experimentally evaluated and further considered as new anti-melanoma metastatic agents, in monotherapies or combination regimens.

scholarly journals Crk and CrkL as Therapeutic Targets for Cancer Treatment

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 739
Author(s):  
Taeju Park
Keyword(s):  
Tumor Cell ◽  
Cancer Treatment ◽  
Epithelial Mesenchymal Transition ◽  
Human Cancer ◽  
Therapeutic Targets ◽  
Viral Oncoprotein ◽  
Mesenchymal Transition ◽  
Chemotherapy Drugs ◽  
Cell Functions

Crk and CrkL are cellular counterparts of the viral oncoprotein v-Crk. Crk and CrkL are overexpressed in many types of human cancer, correlating with poor prognosis. Furthermore, gene knockdown and knockout of Crk and CrkL in tumor cell lines suppress tumor cell functions, including cell proliferation, transformation, migration, invasion, epithelial-mesenchymal transition, resistance to chemotherapy drugs, and in vivo tumor growth and metastasis. Conversely, overexpression of tumor cells with Crk or CrkL enhances tumor cell functions. Therefore, Crk and CrkL have been proposed as therapeutic targets for cancer treatment. However, it is unclear whether Crk and CrkL make distinct or overlapping contributions to tumor cell functions in various cancer types because Crk or CrkL have been examined independently in most studies. Two recent studies using colorectal cancer and glioblastoma cells clearly demonstrated that Crk and CrkL need to be ablated individually and combined to understand distinct and overlapping roles of the two proteins in cancer. A comprehensive understanding of individual and overlapping roles of Crk and CrkL in tumor cell functions is necessary to develop effective therapeutic strategies. This review systematically discusses crucial functions of Crk and CrkL in tumor cell functions and provides new perspectives on targeting Crk and CrkL in cancer therapy.

scholarly journals Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wen Yin ◽  
Hecheng Zhu ◽  
Jun Tan ◽  
Zhaoqi Xin ◽  
Quanwei Zhou ◽  
...  
Keyword(s):  
Tumor Progression ◽  
Epithelial Mesenchymal Transition ◽  
Malignant Tumors ◽  
Therapeutic Targets ◽  
Migration And Invasion ◽  
Who Grade ◽  
Mesenchymal Transition ◽  
Immunosuppressive Microenvironment ◽  
Collagen Genes ◽  
Potential Biomarkers

Abstract Background Gliomas account for the majority of fatal primary brain tumors, and there is much room for research in the underlying pathogenesis, the multistep progression of glioma, and how to improve survival. In our study, we aimed to identify potential biomarkers or therapeutic targets of glioma and study the mechanism underlying the tumor progression. Methods We downloaded the microarray datasets (GSE43378 and GSE7696) from the Gene Expression Omnibus (GEO) database. Then, we used weighted gene co-expression network analysis (WGCNA) to screen potential biomarkers or therapeutic targets related to the tumor progression. ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumors using Expression data) algorithm and TIMER (Tumor Immune Estimation Resource) database were used to analyze the correlation between the selected genes and the tumor microenvironment. Real-time reverse transcription polymerase chain reaction was used to measure the selected gene. Transwell and wound healing assays were used to measure the cell migration and invasion capacity. Western blotting was used to test the expression of epithelial-mesenchymal transition (EMT) related markers. Results We identified specific module genes that were positively correlated with the WHO grade but negatively correlated with OS of glioma. Importantly, we identified that 6 collagen genes (COL1A1, COL1A2, COL3A1, COL4A1, COL4A2, and COL5A2) could regulate the immunosuppressive microenvironment of glioma. Moreover, we found that these collagen genes were significantly involved in the EMT process of glioma. Finally, taking COL3A1 as a further research object, the results showed that knockdown of COL3A1 significantly inhibited the migration, invasion, and EMT process of SHG44 and A172 cells. Conclusions In summary, our study demonstrated that collagen genes play an important role in regulating the immunosuppressive microenvironment and EMT process of glioma and could serve as potential therapeutic targets for glioma management.

scholarly journals Therapeutic Targeting of Epithelial Plasticity Programs: Focus on the Epithelial-Mesenchymal Transition

2017 ◽  
Vol 203 (2) ◽  
pp. 114-127 ◽  
Author(s):  
Reem Malek ◽  
Hailun Wang ◽  
Kekoa Taparra ◽  
Phuoc T. Tran
Keyword(s):  
Cancer Cells ◽  
Regulatory Networks ◽  
Cancer Metastasis ◽  
Epithelial Mesenchymal Transition ◽  
Malignant Tumors ◽  
Therapeutic Targets ◽  
Treatment Resistance ◽  
Mesenchymal Transition ◽  
Epithelial Plasticity ◽  
Canonical Pathways

Mounting data points to epithelial plasticity programs such as the epithelial-mesenchymal transition (EMT) as clinically relevant therapeutic targets for the treatment of malignant tumors. In addition to the widely realized role of EMT in increasing cancer cell invasiveness during cancer metastasis, the EMT has also been implicated in allowing cancer cells to avoid tumor suppressor pathways during early tumorigenesis. In addition, data linking EMT to innate and acquired treatment resistance further points towards the desire to develop pharmacological therapies to target epithelial plasticity in cancer. In this review we organized our discussion on pathways and agents that can be used to target the EMT in cancer into 3 groups: (1) extracellular inducers of EMT, (2) the transcription factors that orchestrate the EMT transcriptome, and (3) the downstream effectors of EMT. We highlight only briefly specific canonical pathways known to be involved in EMT, such as the signal transduction pathways TGFβ, EFGR, and Axl-Gas6. We emphasize in more detail pathways that we believe are emerging novel pathways and therapeutic targets such as epigenetic therapies, glycosylation pathways, and immunotherapy. The heterogeneity of tumors and the dynamic nature of epithelial plasticity in cancer cells make it likely that targeting only 1 EMT-related process will be unsuccessful or only transiently successful. We suggest that with greater understanding of epithelial plasticity regulation, such as with the EMT, a more systematic targeting of multiple EMT regulatory networks will be the best path forward to improve cancer outcomes.

scholarly journals Modeling a gene regulatory network of EMT hybrid states for mouse embryonic skin cells

2019 ◽  
Author(s):  
Dan Ramirez ◽  
Vivek Kohar ◽  
Ataur Katebi ◽  
Mingyang Lu
Keyword(s):  
Gene Regulatory Network ◽  
Regulatory Network ◽  
Epithelial Mesenchymal Transition ◽  
Expression Patterns ◽  
Mesenchymal Transition ◽  
Hybrid State ◽  
Regulatory Interactions ◽  
Skin Cells ◽  
Embryonic Skin ◽  
Gene Regulatory

AbstractEpithelial-mesenchymal transition (EMT) plays a crucial role in embryonic development and tumorigenesis. Although EMT has been extensively studied with both computational and experimental methods, the gene regulatory mechanisms governing the transition are not yet well understood. Recent investigations have begun to better characterize the complex phenotypic plasticity underlying EMT using a computational systems biology approach. Here, we analyzed recently published single-cell RNA sequencing data from E9.5 to E11.5 mouse embryonic skin cells and identified the gene expression patterns of both epithelial and mesenchymal phenotypes, as well as a clear hybrid state. By integrating the scRNA-seq data and gene regulatory interactions from the literature, we constructed a gene regulatory network model governing the decision-making of EMT in the context of the developing mouse embryo. We simulated the network using a recently developed mathematical modeling method, named RACIPE, and observed three distinct phenotypic states whose gene expression patterns can be associated with the epithelial, hybrid, and mesenchymal states in the scRNA-seq data. Additionally, the model is in agreement with published results on the composition of EMT phenotypes and regulatory networks. We identified Wnt signaling as a major pathway in inducing the EMT and its role in driving cellular state transitions during embryonic development. Our findings demonstrate a new method of identifying and incorporating tissue-specific regulatory interactions into gene regulatory network modeling.Author SummaryEpithelial-mesenchymal transition (EMT) is a cellular process wherein cells become disconnected from their surroundings and acquire the ability to migrate through the body. EMT has been observed in biological contexts including development, wound healing, and cancer, yet the regulatory mechanisms underlying it are not well understood. Of particular interest is a purported hybrid state, in which cells can retain some adhesion to their surroundings but also show mesenchymal traits. Here, we examine the prevalence and composition of the hybrid state in the context of the embryonic mouse, integrating gene regulatory interactions from published experimental results as well as from the specific single cell RNA sequencing dataset of interest. Using mathematical modeling, we simulated a regulatory network based on these sources and aligned the simulated phenotypes with those in the data. We identified a hybrid EMT phenotype and revealed the inducing effect of Wnt signaling on EMT in this context. Our regulatory network construction process can be applied beyond EMT to illuminate the behavior of any biological phenomenon occurring in a specific context, allowing better identification of therapeutic targets and further research directions.

scholarly journals Long Noncoding RNA and Epithelial Mesenchymal Transition in Cancer

2019 ◽  
Vol 20 (8) ◽  
pp. 1924 ◽  
Author(s):  
Gugnoni ◽  
Ciarrocchi
Keyword(s):  
Cancer Biology ◽  
Noncoding Rna ◽  
Epithelial Mesenchymal Transition ◽  
Protein Localization ◽  
Noncoding Rnas ◽  
Therapeutic Targets ◽  
Mesenchymal Transition ◽  
Multistep Process ◽  
Genomic Studies

Epithelial–mesenchymal transition (EMT) is a multistep process that allows epithelial cells to acquire mesenchymal properties. Fundamental in the early stages of embryonic development, this process is aberrantly activated in aggressive cancerous cells to gain motility and invasion capacity, thus promoting metastatic phenotypes. For this reason, EMT is a central topic in cancer research and its regulation by a plethora of mechanisms has been reported. Recently, genomic sequencing and functional genomic studies deepened our knowledge on the fundamental regulatory role of noncoding DNA. A large part of the genome is transcribed in an impressive number of noncoding RNAs. Among these, long noncoding RNAs (lncRNAs) have been reported to control several biological processes affecting gene expression at multiple levels from transcription to protein localization and stability. Up to now, more than 8000 lncRNAs were discovered as selectively expressed in cancer cells. Their elevated number and high expression specificity candidate these molecules as a valuable source of biomarkers and potential therapeutic targets. Rising evidence currently highlights a relevant function of lncRNAs on EMT regulation defining a new layer of involvement of these molecules in cancer biology. In this review we aim to summarize the findings on the role of lncRNAs on EMT regulation and to discuss their prospective potential value as biomarkers and therapeutic targets in cancer.

scholarly journals Irradiation Activates MZF1 to Inhibit miR-541-5p Expression and Promote Epithelial-Mesenchymal Transition (EMT) in Radiation-Induced Pulmonary Fibrosis (RIPF) by Upregulating Slug

2021 ◽  
Vol 22 (21) ◽  
pp. 11309
Author(s):  
Xinxin Liang ◽  
Ziyan Yan ◽  
Ping Wang ◽  
Yuhao Liu ◽  
Xingkun Ao ◽  
...  
Keyword(s):  
Pulmonary Fibrosis ◽  
Epithelial Mesenchymal Transition ◽  
Therapeutic Targets ◽  
Alveolar Epithelial Cells ◽  
Mesenchymal Transition ◽  
Alveolar Epithelial ◽  
Radiation Induced ◽  
Myeloid Zinc Finger

Understanding miRNAs regulatory roles in epithelial-mesenchymal transition (EMT) would help establish new avenues for further uncovering the mechanisms underlying radiation-induced pulmonary fibrosis (RIPF) and identifying preventative and therapeutic targets. Here, we demonstrated that miR-541-5p repression by Myeloid Zinc Finger 1 (MZF1) promotes radiation-induced EMT and RIPF. Irradiation could decrease miR-541-5p expression in vitro and in vivo and inversely correlated to RIPF development. Ectopic miR-541-5p expression suppressed radiation-induced-EMT in vitro and in vivo. Knockdown of Slug, the functional target of miR-541-5p, inhibited EMT induction by irradiation. The upregulation of transcription factor MZF1 upon irradiation inhibited the expression of endogenous miR-541-5p and its primary precursor (pri-miR-541-5p), which regulated the effect of the Slug on the EMT process. Our finding showed that ectopic miR-541-5p expression mitigated RIPF in mice by targeting Slug. Thus, irradiation activates MZF1 to downregulate miR-541-5p in alveolar epithelial cells, promoting EMT and contributing to RIPF by targeting Slug. Our observation provides further understanding of the development of RIPF and determines potential preventative and therapeutic targets.

scholarly journals Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma

2020 ◽  
Author(s):  
Wen Yin ◽  
Jun Tan ◽  
Zhaoqi Xin ◽  
Quanwei Zhou ◽  
Yudong Cao ◽  
...  
Keyword(s):  
Tumor Progression ◽  
Epithelial Mesenchymal Transition ◽  
Malignant Tumors ◽  
Therapeutic Targets ◽  
Migration And Invasion ◽  
Who Grade ◽  
Mesenchymal Transition ◽  
Immunosuppressive Microenvironment ◽  
Collagen Genes ◽  
Potential Biomarkers

Abstract Background: Gliomas account for the majority of fatal primary brain tumors, and there is much room for research in the underlying pathogenesis, the multistep progression of glioma, and how to improve survival. In our study, we aimed to identify potential biomarkers or therapeutic targets of glioma and study the mechanism underlying the tumor progression. Methods: We downloaded the microarray datasets (GSE43378 and GSE7696) from the Gene Expression Omnibus (GEO) database. Then, we used weighted gene co-expression network analysis (WGCNA) to screen potential biomarkers or therapeutic targets related to the tumor progression. ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumors using Expression data) algorithm and TIMER (Tumor Immune Estimation Resource) database were used to analyze the correlation between the selected genes and the tumor microenvironment. Real-time reverse transcription polymerase chain reaction was used to measure the selected gene. Transwell and wound healing assay were used to measure the cell migration and invasion capacity.Results: We identified specific module genes that were positively correlated with the WHO grade but negatively correlated with OS of glioma. Importantly, we identified that 6 collagen genes (COL1A1, COL1A2, COL3A1, COL4A1, COL4A2, and COL5A2) could regulate the immunosuppressive microenvironment of glioma. Moreover, we found that these collagen genes were significantly involved in the epithelial-mesenchymal transition (EMT) process of glioma. Finally, taking COL5A2 as a further research object, the results showed that knockdown of COL5A2 significantly inhibited the migration and invasion of SHG44 and A172 cells. Conclusions: In summary, our study demonstrated that collagen genes play an important role in regulating the immunosuppressive microenvironment and EMT process of glioma and could serve as potential therapeutic targets for glioma management.

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