Angiogenic Gene PTK2 is a Potential Biomarker of Gestational Diabetes Mellitus and is Significantly Associated with Breast Cancer Immune Infiltration

Du, Xuelian; Shi, Hao; Liu, Haiyan; Zhou, Linghua; Xie, Anqun; Guo, Jufang

doi:10.32604/oncologie.2022.026248

Cited by 3 publications

(1 citation statement)

References 44 publications

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“…These targets have demonstrated strong binding a nity with 1,2-Dihydropyrazol-3-one,4-(4-bromomethyl-4,5-dihydrothiazol-2-ylamino)-1,5-dimethyl-2-phenyl and methyl octadeca-6,9,12-trienoate from CEO. The gene PTK2, which is also called focal adhesion kinase (FAK), shows a high level of expression in several cancer types such as hepatocellular carcinoma, lymphocytic leukemia and lung cancer, and may contribute to cell growth, survival, migration and invasion [33,34]. A prior investigation demonstrated that PTK2 stimulates survival signaling pathway in breast cancer and has the potential to impede tumor development [35].…”

Section: Discussionmentioning

confidence: 99%

Exploring the Pharmacological Action Mechanism of Chamomile Essential Oil on the Treatment of Breast Cancer Based on Network Pharmacology

Maitisha,

Zhou,

Zhao

et al. 2024

Preprint

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Background Chamomile essential oil (CEO) can be beneficial in cancer therapy. The aim of the current research is to explore the underlying mechanism of CEO for breast cancer treatment by network pharmacology approach and evaluate its anti-breast cancer capacity in vitro. Methods We extracted CEO from chamomile flowers and analyzed its chemical components by using GC-MS/MS. Network pharmacology method was employed to screen the active components, potential targets and possible mechanism of CEO for breast cancer treatment. The molecular docking was used to validated the results of network pharmacology. Cell viability, apoptosis and cell cycle assay were used to assess anti-breast cancer effect of CEO. Results In network pharmacology analysis, we found the 12 effective components and 265 drug-disease common targets of CEO and among them, five active components and 19 targets were determined as the therapeutic targets of breast cancer. GO results demonstrated that the potenributetial targets of CEO were primarily participated in positive regulation of MAPK cascade, distd in membrane raft and the molecular functions were associated with protein serine-threonine-tyrosine kinase activity. KEGG pathway analysis suggested that the potential targets mainly involved in PI3K-AKT signaling pathway, cAMP signaling pathway, neuroactive ligand-receptor interaction, MAPK signaling pathway and calcium signaling pathway. Molecular docking analysis revealed that LYN, LCK, VGFR, MAPK11, MAPK14, PTK2, JAK1, NR3C1 and ESR1 have shown higher affinity with three components from CEO and suggesting that these compounds might be the most effective ingredients against breast cancer. Besides, we found that CEO treatment suppressed cell proliferation by inducing cell cycle arrest in breast cancer cell lines. Conclusions These findings suggest that CEO inhibit proliferation of breast cancer cell lines through modulating those multi-pathways and multi-targets. The present study not only indicate the therapeutic potential of CEO for breast cancer, but also provide valuable insight into its mechanism of action.

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Section: Discussionmentioning

confidence: 99%

Exploring the Pharmacological Action Mechanism of Chamomile Essential Oil on the Treatment of Breast Cancer Based on Network Pharmacology

Maitisha,

Zhou,

Zhao

et al. 2024

Preprint

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Identification and Characterization of Prognostic Macrophage Subpopulations for Human Esophageal Carcinoma

Li,

Gao,

Huang

et al. 2025

CMC

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Aims: The aim of the present study was to investigate the relationship between the cellular ecosystem and the progression of esophageal carcinoma (ESCA) based on the evolution of macrophages and to analyze the potential of using macrophages as a new therapeutic approach in ESCA treatment. Background: Macrophage-based immunotherapy could be used for treating ESCA patients, but its clinical application is limited by the intra-tumor heterogeneity of macrophages. Objective: The objective of this study was to analyze the diversity, differentiation trajectory, and intercellular communication of macrophages in ESCA and its prognostic significance. Methods: Single-cell RNA sequencing (scRNA-seq) data in the GSE154763 dataset were downloaded from Gene Expression Omnibus (GEO) to identify cell clusters and annotate cell types using the Seurat R package. The scRNA-seq profiles of macrophages were extracted, and cluster analysis was performed to identify macrophage subsets. The differentiation trajectories of macrophage subgroups were visualized employing Monocle2. Finally, ligand-receptor pairs and communication intensity among the classified subgroups were analyzed using CellChat. Results: A total of 8 cell types were identified between ESCA tissues and paracancer tissues. The most abundant macrophages in ESCA tissues were further divided into 5 cell clusters. Compared with the normal tissues, the proportion of HSPA6+ macrophages in ESCA tissues increased the most, and the number of ligand-receptor pairs that mediated the communication of HSPA6+ macrophages with mast cells and monocytes also increased significantly. More importantly, a high proportion of HSPA6+ macrophages was inversely correlated with the survival outcomes for ESCA patients. Conclusions: This study analyzed the diversity, distribution and differentiation trajectory of macrophages in ESCA tissues at single-cell level and classified a prognostic macrophage subtype (HSPA6+ macrophages) of ESCA, providing a theoretical basis for macrophage-targeted therapy in ESCA.

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Identification and Verification of the Oxidative Stress-Related Signature Markers for Intracranial Aneurysm-Applied Bioinformatics

Zhang,

Duan,

Nie

et al. 2024

Front. Biosci. (Landmark Ed)

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Background: Intracranial aneurysm (IA) is a localized abnormal dilation of the cerebral vascular wall, the degeneration of which is closely related to high oxidative stress. Methods: Clinical information and RNA-seq data from five public datasets were downloaded from the Gene Expression Omnibus (GEO). Using the “GSVA” package, enrichment analysis was performed on the gene sets of the oxidative stress, reactive oxygen species (ROS), metabolism, and inflammatory pathways retrieved from the MsigDB and Kyoto encyclopedia of genes and genomes (KEGG) databases. Weighted gene co-expression network analysis (WGCNA) was conducted using the “WGCNA” package, followed by using the “limma” R package to select differentially expressed genes (DEGs). Key genes were determined by applying three machine learning algorithms (random forest, Lasso, and SVM-RFE). The expression levels of the key genes were verified by the quantitative real-time polymerase chain reaction (qRT-PCR) in IA. Finally, ESTIMATE and CIBERPSORT algorithms were used for immune infiltration analysis. Results: The enrichment score of the oxidative stress, ROS, metabolism, and inflammatory pathways was calculated, and we found that these pathways were significantly activated in IA samples with higher immune infiltration. The intersection between the blue module related to oxidative stress (610 genes identified by WGCNA) and 380 upregulated DEGs contained a total of 209 key genes, which were further processed by machine learning algorithms to obtain four crucial diagnostic markers (FLVCR2, SDSL, TBC1D2, and SLC31A1) for IA. These key genes are highly expressed in human brain vascular smooth muscle cells. The expressions of the four markers were significantly positively correlated with the abnormal activation phenotypes of oxidative stress, the ROS and glucometabolic pathways, and suppressive immune infiltration. Conclusion: This study employed WGCNA combined with three machine learning algorithms to identify four oxidative stress-related signature markers for IA, providing novel insights into the clinical management of IA patients.

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Angiogenic Gene PTK2 is a Potential Biomarker of Gestational Diabetes Mellitus and is Significantly Associated with Breast Cancer Immune Infiltration

Cited by 3 publications

References 44 publications

Exploring the Pharmacological Action Mechanism of Chamomile Essential Oil on the Treatment of Breast Cancer Based on Network Pharmacology

Exploring the Pharmacological Action Mechanism of Chamomile Essential Oil on the Treatment of Breast Cancer Based on Network Pharmacology

Identification and Characterization of Prognostic Macrophage Subpopulations for Human Esophageal Carcinoma

Identification and Verification of the Oxidative Stress-Related Signature Markers for Intracranial Aneurysm-Applied Bioinformatics

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