Expression of caveolin-1 in peritumoral stroma is associated with histological grade in ovarian serous tumors

Sayhan, Sevil; Diniz, Gülden; Karadeniz, Tugba; Ayaz, Duygu; Kahraman, Dudu Solakoğlu; Gökçü, Mehmet; Yıldırım, Hülya Tosun

doi:10.17772/gp/2398

Cited by 13 publications

(16 citation statements)

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“…Specifically, SPP1, the protein encoded by the SPP1 gene, is involved in the attachment of osteoclasts and has been previously implicated in cancer (Wu et al, 2014;Lin et al, 2015). Additionally, TAL1 and CAV1 have both been suggested to play a role in cancer (Patel et al, 2014;Loosveld et al, 2014;Sayhan et al, 2015;Zhao et al, 2015). In addition to these genes, three other genes were selected by all four models, including SASH1, AGTR1, and CAT.…”

Section: Biological Analysis Of the Selected Genes And Constructed Ppmentioning

confidence: 99%

Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model

Chai¹,

Huang²,

Jiang³

et al. 2016

Genet. Mol. Res.

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ABSTRACT.Identifying biomarker genes and characterizing interaction pathways with high-dimensional and low-sample size microarray data is a major challenge in computational biology. In this field, the construction of protein-protein interaction (PPI) networks using disease-related selected genes has garnered much attention. Support vector machines (SVMs) are commonly used to classify patients, and a number of useful tools such as lasso, elastic net, SCAD, or other regularization methods can be combined with SVM models to select genes that are related to a disease. In the current study, we propose a new Net-SVM model that is different from other SVM models as it is combined with L 1/2 -norm regularization, which has good performance with high-dimensional and low-sample size microarray data for cancer classification, gene selection, and PPI network construction. Both simulation studies and real data experiments demonstrated that our 2 H. Chai et al. Genetics and Molecular Research 15 (3): gmr.15038794 proposed method outperformed other regularization methods such as lasso, SCAD, and elastic net. In conclusion, our model may help to select fewer but more relevant genes, and can be used to construct simple and informative PPI networks that are highly relevant to cancer.

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Section: Biological Analysis Of the Selected Genes And Constructed Ppmentioning

confidence: 99%

Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model

Chai¹,

Huang²,

Jiang³

et al. 2016

Genet. Mol. Res.

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“…In the stromal cells, absence or loss of stromal CAV1 immunostaining is a novel indicator of poor prognosis in various human cancers, such as breast [13,14], gastric [15] and prostate carcinomas [16], as well as in metastatic melanoma [17]. Furthermore, previous studies have indicated that CAV1 functions as a tumor suppressor in ovarian carcinoma cells, and stromal CAV1 is lost in the majority of malignant and borderline ovarian carcinomas [18,19]. However, the exact role of CAV1 in the carcinogenesis of EOC is yet to be fully elucidated.…”

Section: Introductionmentioning

confidence: 99%

Clinicopathological and prognostic significance of caveolin-1 and ATG4C expression in the epithelial ovarian cancer

et al. 2020

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Objective Altered expression of caveolin-1 (CAV1) and autophagy marker ATG4C is observed in various types of human cancers. However, the clinical significance of CAV1 and ATG4C expression in epithelial ovarian cancer (EOC) remains largely unknown. The present study aims to explore the clinicopathological value and prognostic significance of CAV1 and ATG4C expression in EOC. Methods The expression pattern and prognostic value of CAV1 and ATG4C mRNA in EOC were analyzed using data from the Cancer Genome Atlas (TCGA) database (N = 373). In addition, immunohistochemistry analysis was performed to detect and assay the expression of CAV1 and ATG4C proteins in tissue microarray of EOC.

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“…With multiple binding partners, this multifunctional scaffolding protein has been implicated in diverse cancer-associated processes, such as cellular transformation, tumor growth, metastasis, and multidrug resistance [ 7 , 8 ]. Previous studies showed that Cav-1 is involved in various signaling pathways including estrogen receptor, epidermal growth factor receptor (EGFR), Her2/neu, tumor growth factor-β (TGFβ), and mTOR[ 9 ], and serves as an oncogene in lung, breast, and ovarian cancers [ 10 – 12 ]. In contrast, Cav-1 plays the role of a tumor suppressor in prostate and bladder cancers [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Caveolin-1 Inhibits Proliferation, Migration, and Invasion of Human Colorectal Cancer Cells by Suppressing Phosphorylation of Epidermal Growth Factor Receptor

et al. 2018

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BackgroundAlthough downregulation of caveolin-1 (Cav-1), which is a key constituent of membrane caveolae and a regulator of cellular processes, is associated with colorectal cancer (CRC), its involvement in the disease progression is largely unknown. This study aimed to explore the role of Cav-1 in CRC and the associated mechanisms.Material/MethodsFresh tissues from patients with CRC and human CRC SW480 cells were used to evaluate Cav-1 and Ki-67 expression using immunohistochemistry and Western blotting. The MTS and Transwell assays were performed to determine the effects of Cav-1 overexpression via pcDNA3.1/Cav-1 plasmid on cell proliferation and metastasis. The effect of Cav-1 on the epidermal growth factor receptor (EGFR) activation was evaluated by Western blotting. The correlation of Cav-1 expression with clinicopathological factors was statistically analyzed.ResultsOverexpression of Cav-1 significantly reduced proliferation, migration, and invasion of SW480 cancer cells in vitro. The EGF-induced phosphorylation of EGFR and activations of the RAF-MEK-ERK and PI3K-AKT pathways were adversely regulated by Cav-1 overexpression in vitro. In 76 cases of CRC patients with EGFR expression, a negative correlation was observed between the level of Cav-1 and tumor-node-metastasis stage, lymph node metastasis, and distant metastasis (All p<0.05). Finally, the expression level of Cav-1 was negatively correlated with that of Ki-67.ConclusionsThis report is the first to show that overexpression of Cav-1significantly inhibits the proliferation, migration, and invasion potential of SW480 cells, possibly through reducing EGF-induced EGFR activation. High Cav-1 expression level may be a predictor of positive outcomes in patients with colorectal cancer.

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Expression of caveolin-1 in peritumoral stroma is associated with histological grade in ovarian serous tumors

Cited by 13 publications

References 0 publications

Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model

Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model

Clinicopathological and prognostic significance of caveolin-1 and ATG4C expression in the epithelial ovarian cancer

Caveolin-1 Inhibits Proliferation, Migration, and Invasion of Human Colorectal Cancer Cells by Suppressing Phosphorylation of Epidermal Growth Factor Receptor

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