Fyn-related kinase expression predicts favorable prognosis in patients with cervical cancer and suppresses malignant progression by regulating migration and invasion

Zhang, Xiaofeng; Li, Fengshuang; Zhu, Linzhong

doi:10.1016/j.biopha.2016.09.042

Cited by 6 publications

(6 citation statements)

References 16 publications

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“…In the present study, FYN was expressed at a low level in high metastatic cancer cells, while the database analysis indicated that high FYN expression was associated with an improved OS time. These results are contradictory to previous studies (19–21); further studies need to be done in the future.…”

Section: Discussioncontrasting

confidence: 99%

“…FYN, a member of the Src family tyrosine kinases, is associated with T cell and neuronal signaling in development and normal cellular physiology (18). FYN is an oncogene, which encodes a protein that is highly expressed in various types of cancer (19–21). FYN is associated with epithelial-mesenchymal transition (22) and also participates in a number of cancer metastasis-associated pathways, including the TGFβ pathway (23).…”

Section: Discussionmentioning

confidence: 99%

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Five genes may predict metastasis in non‑small cell lung cancer using bioinformatics analysis

et al. 2019

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Lung cancer is one of the most common types of malignancy worldwide. The prognosis of lung cancer is poor, due to the onset of metastases. The aim of the present study was to examine lung cancer metastasis-associated genes. To identify novel metastasis-associated targets, our previous study detected the differentially expressed mRNAs and long non-coding RNAs between the large-cell lung cancer high-metastatic 95D cell line and the low-metastatic 95C cell line by microarray assay. In the present study, these differentially expressed genes (DEGs) were analyzed via bioinformatics methods, including Gene Ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. A protein-protein interaction network was subsequently constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins online database and Cytoscape software, and 17 hub genes were screened out on the basis of connectivity degree. These hub genes were further validated in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) using the online Gene Expression Profiling Interactive Analysis database. A total of seven hub genes were identified to be significantly differentially expressed in LUAD and LUSC. The prognostic information was detected using Kaplan-Meier plotter. As a result, five genes were revealed to be closely associated with the overall survival time of patients with lung cancer, including phosphoinositide-3-kinase regulatory subunit 1, FYN, thrombospondin 1, nonerythrocytic α-spectrin 1 and secreted phosphoprotein 1. In addition, lung cancer and adjacent lung tissue samples were used to validate these hub genes by reverse transcription-quantitative polymerase chain reaction. In conclusion, the results of the present study may provide novel metastasis-associated therapeutic strategies or potential biomarkers in non-small cell lung cancer.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Five genes may predict metastasis in non‑small cell lung cancer using bioinformatics analysis

et al. 2019

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“…We examined six cell types, which could be classified in two ways: cancerous cells (Hela and HepG2) versus healthy cells (HCvEpC, MC3T3-E1, NIH3T3, and hMSC) or epithelial-like cells (Hela, , HepG2, and HCvEpC , ) versus fibroblast-like cells (MC3T3-E1, NIH3T3, and hMSC , ). The nuclei as well as the cytoskeleton of these cell types on the micropillar array were observed after seeding for 6 and 72 h, with representative micrographs shown in Figure .…”

Section: Resultsmentioning

confidence: 99%

“…In the present study, we investigated human cervix epithelial carcinoma cells (Hela), human hepatoma cells (HepG2), human cervical epithelial cells (HCvEpC), mouse osteoblastic cells (MC3T3-E1), mouse embryo fibroblast cells (NIH3T3), and human mesenchymal stem cells (hMSC). The six cell types can be classified into cancerous cells versus healthy cells or epithelial-like cells versus fibroblast-like cells. − This article reports a comparative study of the nuclear deformation ability of these different cell types.…”

Section: Introductionmentioning

confidence: 99%

Cell Type and Nuclear Size Dependence of the Nuclear Deformation of Cells on a Micropillar Array

Liu

Zhang

et al. 2018

Langmuir

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While various cellular responses to materials have been published, little concerns the deformation of cell nuclei. Herein we fabricated a polymeric micropillar array of appropriate dimensions to trigger the significant self-deformation of cell nuclei and examined six cell types, which could be classified into cancerous cells (Hela and HepG2) versus healthy cells (HCvEpC, MC3T3-E1, NIH3T3, and hMSC) or epithelial-like cells (Hela, HepG2, and HCvEpC) versus fibroblast-like cells (MC3T3-E1, NIH3T3, and hMSC). While all of the cell types exhibited severe nuclear deformation on the poly(lactide- co-glycolide) (PLGA) micropillar array, the difference between the epithelial-like and fibroblast-like cells was much more significant than that between the cancerous and healthy cells. We also examined the statistics of nuclear shape indexes of cells with an inevitable dispersity of nuclear sizes. It was found that larger nuclei favored more significant deformation on the micropillar array for each cell type. In the same region of nuclear size, the parts of the epithelial-like cells exhibited more significant nuclear deformation than those of the fibroblast-like cells. Hence, this article reports the nuclear size dependence of the self-deformation of cell nuclei on micropillar arrays for the first time and meanwhile strengthens the cell-type dependence.

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“…Pathologically, it has been demonstrated that low expression level of FRK protein could be involved in tumorigenesis and cell movement of human cervical cancer, so that FRK expression may be performed as a hopeful predictive indicator of this malignancy (21). In another research, it was shown that Fyn has a key role in signal transformation and proliferation of neuroblastoma cells.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Myricetin Flavonoid on the Expression of Fyn Gene in Melanoma Cells (A375)

Abdolmaleki¹,

Moghbelinejad²,

Ahmadpour-Yazdi³

2017

Biotech Health Sci

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Background: Malignant melanoma as one of the most common cancers is currently spreading worldwide. Regarding after-effect of advanced treatments, using natural products has attracted much attention. Flavonoids, polyphenol compounds rich in diet, are being considered for their therapeutic preventive features. Fyn gene, a member of the protein tyrosine kinase oncogene family, has become an important target for therapy goals.

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Fyn-related kinase expression predicts favorable prognosis in patients with cervical cancer and suppresses malignant progression by regulating migration and invasion

Cited by 6 publications

References 16 publications

Five genes may predict metastasis in non‑small cell lung cancer using bioinformatics analysis

Five genes may predict metastasis in non‑small cell lung cancer using bioinformatics analysis

Cell Type and Nuclear Size Dependence of the Nuclear Deformation of Cells on a Micropillar Array

The Effect of Myricetin Flavonoid on the Expression of Fyn Gene in Melanoma Cells (A375)

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