Fibronectin promotes cervical cancer tumorigenesis through activating FAK signaling pathway

Zhou, Yuzhen; Shu, Changzhen; Yan, Huaxiang

doi:10.1002/jcb.28282

Cited by 38 publications

(34 citation statements)

References 39 publications

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“…Here, we suspect that FN1 is related to the pathway of ECM-receptor interaction. FN1 has been found to be highly expressed in esophageal and cervical cancers and associated with their prognosis [16][17][18]. In the present study, FN1, as a hub gene with the highest correlation with thyroid cancer, was highly expressed in tumor tissues compared with the adjacent non-tumor or normal tissues.…”

Section: Discussionsupporting

confidence: 51%

Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets

Shen

Dong

Liu

et al. 2020

BioMed Research International

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Background. The molecular mechanisms and genetic markers of thyroid cancer are unclear. In this study, we used bioinformatics to screen for key genes and pathways associated with thyroid cancer development and to reveal its potential molecular mechanisms. Methods. The GSE3467, GSE3678, GSE33630, and GSE53157 expression profiles downloaded from the Gene Expression Omnibus database (GEO) contained a total of 164 tissue samples (64 normal thyroid tissue samples and 100 thyroid cancer samples). The four datasets were integrated and analyzed by the RobustRankAggreg (RRA) method to obtain differentially expressed genes (DEGs). Using these DEGs, we performed gene ontology (GO) functional annotation, pathway analysis, protein-protein interaction (PPI) analysis and survival analysis. Then, CMap was used to identify the candidate small molecules that might reverse thyroid cancer gene expression. Results. By integrating the four datasets, 330 DEGs, including 154 upregulated and 176 downregulated genes, were identified. GO analysis showed that the upregulated genes were mainly involved in extracellular region, extracellular exosome, and heparin binding. The downregulated genes were mainly concentrated in thyroid hormone generation and proteinaceous extracellular matrix. Pathway analysis showed that the upregulated DEGs were mainly attached to ECM-receptor interaction, p53 signaling pathway, and TGF-beta signaling pathway. Downregulation of DEGs was mainly involved in tyrosine metabolism, mineral absorption, and thyroxine biosynthesis. Among the top 30 hub genes obtained in PPI network, the expression levels of FN1, NMU, CHRDL1, GNAI1, ITGA2, GNA14 and AVPR1A were associated with the prognosis of thyroid cancer. Finally, four small molecules that could reverse the gene expression induced by thyroid cancer, namely ikarugamycin, adrenosterone, hexamethonium bromide and clofazimine, were obtained in the CMap database. Conclusion. The identification of the key genes and pathways enhances the understanding of the molecular mechanisms for thyroid cancer. In addition, these key genes may be potential therapeutic targets and biomarkers for the treatment of thyroid cancer.

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Section: Discussionsupporting

confidence: 51%

Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets

Shen

Dong

Liu

et al. 2020

BioMed Research International

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“…Another study reported that high expression of FN1 was seen in invasive human bladder cancer T24 cells, and that inhibition of FN1 expression reduce the migration capacity of T24 cells through a mechanism related to targeted of pKC signaling pathway (13). In cervical cancer, high expression of FN1 activates the expression of pro-MMP-9, resulting in a signaling cascade (14). Thant et al reported that FN1 activated MMP-2 promoter, thereby increasing the expression of MMP-2 in ovarian cancer cell OVCA, while high expression of MMP-2 further enhanced the combination of OVCA cells and fibronectin which is broken down into small segments and cleavage receptor integrin.…”

Section: Discussionmentioning

confidence: 99%

The effect and clinical significance of FN1 expression on biological functions of gastric cancer cells

Zhou

Cao

Cai

et al. 2020

Cell Mol Biol (Noisy-le-grand)

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Fibronectin 1 (FN1) is a glycoprotein molecule widely distributed in cell structures such as smooth muscle cell layer, vascular cell membrane and nerve cell layer. It participates in cell adhesion, migration and movement of various cells. In recent years, FN1 has been shown to play an important role in the regulation of various malignant tumors such as lung cancer, colorectal cancer, and ovarian cancer. However, its regulation and mechanism of action in gastric cancer have been rarely reported, and these are also associated with some controversy. The aim of this study was to investigate the clinical significance of FN1 in gastric cancer, to study the effects of FN1 on proliferation, apoptosis, migration and invasion of GC cells, and the mechanisms involved. The expression of FN1 in gastric cancer tissues was determined using immunohistochemistry staining. The comparative expression levels of FN1 were assayed with RT-PCR and Western blotting. The correlation amongst FN1 expression, clinicopathological parameters and prognosis of gastric cancer patients was determined. Cell transfection was used to silenceFN1 expression in gastric cancer cells. Plate cloning and CCK-8 assays were used to determine cell proliferation, while apoptosis was assayed with flow cytometry. Cell migration and invasion was measured with transwell assay. The expressions of EMT-related proteins were assayed using western blotting.The results showed that FN1 was upregulated in GC tissues and cell lines, and its expression level was closely related to tumor invasion, TNM stage, lymph node metastasis and survival. Inhibition of FN1 expression significantly reduced proliferation, migration, invasion and EMT processes of GC cells, and enhanced cell apoptosis. These results confirm that FN1 is up-regulated in GC, thereby functioning as an oncogenic gene. The high expression of FN1 might affect the clinicopathological parameters and prognosis of gastric cancer patients.

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“…The second passage of 1.0 Â 10 5 SMSCs was transfected with small interfering RNA (siRNA) as previously described [23]. SMSCs were placed into 6-well plates for 24 h. Cells were transfected with specific siRNA (Ambion, Huntingdon, UK) targeting FAK with Lipofectamine 2000 (Invitrogen, Carlsbad, CA, USA).…”

Section: Cell Transfection and Immunofluorescencementioning

confidence: 99%

FAK mediates BMP9-induced osteogenic differentiation via Wnt and MAPK signaling pathway in synovial mesenchymal stem cells

Zheng

Sun

et al. 2019

Artificial Cells, Nanomedicine, and Biotechnology

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Objective: Focal adhesion kinase (FAK) has critical functions in proliferation and differentiation of many cell types, however, the role of FAK on BMP9-induced osteogenic differentiation in SMSCs has not been characted. The purpose of current study is to explore the mechanism of FAK on the BMP9induced osteogenesis of SMSCs in vitro and in vivo. Methods: The optimal dose of BMP9 was determined by incubation in different BMP9 concentrations, then cells were transfected with siRNA-induced FAK knockdown in BMP9-induced osteogenesis. Cell proliferation, migration, the osteogenic capacity, and the underlying mechanism were further detected in vitro. Imaging and pathological examination were conducted to observe the bone formation in vivo. Results: Our findings suggested that BMP9 could obviously promote FAK phosphorylation in osteogenic conditions. In contrast, FAK knockdown significantly decreased the cell proliferation, migration, the osteogenic capacity of SMSCs. To be specific, FAK knockdown could markedly inhibit the Wnt and MAPK signal pathway of SMSCs induced by BMP9. Besides, FAK knockdown could also effectively inhibit BMP-9-induced bone formation in vivo. Conclusion: FAK plays a pivotal role in promoting BMP9-induced osteogenesis of SMSCs, which is probably via activating Wnt and MAPK pathway.

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Fibronectin promotes cervical cancer tumorigenesis through activating FAK signaling pathway

Cited by 38 publications

References 39 publications

Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets

Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets

The effect and clinical significance of FN1 expression on biological functions of gastric cancer cells

FAK mediates BMP9-induced osteogenic differentiation via Wnt and MAPK signaling pathway in synovial mesenchymal stem cells

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