• Title/Summary/Keyword: Fascin

Search Result 5, Processing Time 0.022 seconds

Regulation of the Drosophila Fascin by Raf Signaling (Raf 신호에 의한 초파리 fascin의 조절)

  • Pyo, Jung-Hoon;Choi, Na-Hyun;Lee, Shin-Hae;Kim, Young-Shin;Yoo, Mi-Ae
    • Journal of Life Science
    • /
    • v.19 no.7
    • /
    • pp.866-870
    • /
    • 2009
  • Fascin, a cytoskeleton actin binding protein, functions in cell adhesion and cell migration. Fascin is also known as a candidate biomarker for various cancers, however, regulatory mechanisms of fascin expression remains little understood. In this study, we found an abnormal bristle phenotype, which is similar to that of the Drosophila fascin mutant, in Drafmutant flies. Hence, we investigated whether fascin expression is regulated by Raf signaling. RT-PCR and Western blot analysis showed that Drosophila fascin expression was down-regulated in Draf mutant flies and the level was increased in larvae expressing the oncogenic form of Draf (Draf$^{got}$) under the GAL4-UAS system. Immunostaining analysis showed increased fascin in the hemocytes over-expressing Draf$^{got}$. Our results indicate that fascin expression is regulated by Raf signaling and suggest that Raf signaling may play an important role in the actin cytoskeleton-associated developmental process and tumor progression via regulation of fascin gene.

Prognostic Significance of Fascin Expression in Stage I Non-small Cell Lung Cancer (수술 절제를 시행받은 제1기 비소세포폐암 환자에서의 Fascin 발현과 예후)

  • Roh, Mee-Sook;Um, Su-Jung;Choi, Youngmin;Kim, Ki-Nam;Choi, Pil Jo;Lee, Soo-Keol;Son, Choonhee;Yang, Dookyung
    • Tuberculosis and Respiratory Diseases
    • /
    • v.65 no.2
    • /
    • pp.105-109
    • /
    • 2008
  • Background: Fascin is an actin-bundling protein that plays an important role in cellular motility. Fascin is normally expressed in the neuronal and mesenchymal cells and its expression is low or absent in the epithelia. However, an overexpression of fascin has been linked to the invasive behavior of some neoplasms such as breast, stomach and ovarian tumors. In this study, we evaluated the expression of fascin and its prognostic significance in stage I non-small cell lung cancer (NSCLC). Methods: Immunohistochemical staining for fascin was performed on the paraffin-embeded tissue sections of 81 cases of resected NSCLC. Staining of more than 5% of the tumor cells was recorded as positive immunoreactivity. Results: Fascin expression was seen in 73% (59/81) of the cases and this was more frequently seen in squamous cell carcinoma than in adenocarcinoma (93% vs 42%). There were no significant correlations of fascin immunoreactivity with tumor recurrence and overall survival. Conclusion: The expression rate of fascin was relatively high in NSCLC, but this was without prognostic significance. The exact clinical role of fascin should be defined through further investigations.

Independent Prognostic Value of the Fascin Expression in Patients with Esophageal Cancer (식도암에 있어서 Fascin의 발현과 예후와의 상관관계에 대한 연구)

  • Choi, Pill-Jo;Jeong, Sang-Seok;Bang, Jung-Heui;Cho, Kwang-Jo;Woo, Jong-Soo;Roh, Mee-Sook
    • Journal of Chest Surgery
    • /
    • v.41 no.1
    • /
    • pp.74-81
    • /
    • 2008
  • Background: Fascin is an actin-bundling protein that induces membrane protrusions and it increases cell motility in various transformed cells. Esophageal cancer is one of the most lethal malignancies, and it exhibits extensive local invasion or frequent regional lymph node metastasis even after curative surgery. We investigate the expression of fascin by performing immunohistochemistry to evaluate the clinical characteristics and prognostic significance of its expression in esophageal cancer patients. Material and Method: Immunochemistry for fascin was performed on 76 tumor samples from 76 patients who underwent esophageal cancer operations. The expression levels of fascin in the 76 esophageal cancer tissues were compared with those in the corresponding normal esophageal epithelium. The fascin-positive samples were defined as those showing more than 75% of fascin-positive cells. Result: Overall, a fascin positive expression was detected in 39 (51.3%) out of the total 76 cases. The tumors with positive fascin expression tended to more frequently show a higher stage (p=0.030), and a higher T-factor (p=0.031). The prognosis of the fascin negative group was significantly better than that of the fascin positive group (p=0.004). Multivariate analysis revealed that lymphovascular invasion and the fascin expression were independent prognostic factors. Conclusion: Fascin was expressed in 513% of the esophageal cancer tissues and a positive expression of fascin was associated with more advanced tumor progression and recurrence. Our study suggests that the fascin expression may be an independent prognostic factor for an unfavorable clinical course few those patients suffering with esophageal cancer.

Comprehensive Bioinformation Analysis of the MRNA Profile of Fascin Knockdown in Esophageal Squamous Cell Carcinoma

  • Wu, Bing-Li;Luo, Lie-Wei;Li, Chun-Quan;Xie, Jian-Jun;Du, Ze-Peng;Wu, Jian-Yi;Zhang, Pi-Xian;Xu, Li-Yan;Li, En-Min
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.14 no.12
    • /
    • pp.7221-7227
    • /
    • 2013
  • Background: Fascin, an actin-bundling protein forming actin bundles including filopodia and stress fibers, is overexpressed in multiple human epithelial cancers including esophageal squamous cell carcinoma (ESCC). Previously we conducted a microarray experiment to analyze fascin knockdown by RNAi in ESCC. Method: In this study, the differentially expressed genes from mRNA expression profilomg of fascin knockdown were analyzed by multiple bioinformatics methods for a comprehensive understanding of the role of fascin. Results: Gene Ontology enrichment found terms associated with cytoskeleton organization, including cell adhesion, actin filament binding and actin cytoskeleton, which might be related to fascin function. Except GO categories, the differentially expressed genes were annotated by 45 functional categories from the Functional Annotation Chart of DAVID. Subpathway analysis showed thirty-nine pathways were disturbed by the differentially expressed genes, providing more detailed information than traditional pathway enrichment analysis. Two subpathways derivated from regulation of the actin cytoskeleton were shown. Promoter analysis results indicated distinguishing sequence patterns and transcription factors in response to the co-expression of downregulated or upregulated differentially expressed genes. MNB1A, c-ETS, GATA2 and Prrx2 potentially regulate the transcription of the downregulated gene set, while Arnt-Ahr, ZNF42, Ubx and TCF11-MafG might co-regulate the upregulated genes. Conclusions: This multiple bioinformatic analysis helps provide a comprehensive understanding of the roles of fascin after its knockdown in ESCC.

Network Analyses of Gene Expression following Fascin Knockdown in Esophageal Squamous Cell Carcinoma Cells

  • Du, Ze-Peng;Wu, Bing-Li;Xie, Jian-Jun;Lin, Xuan-Hao;Qiu, Xiao-Yang;Zhan, Xiao-Fen;Wang, Shao-Hong;Shen, Jin-Hui;Li, En-Min;Xu, Li-Yan
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.16 no.13
    • /
    • pp.5445-5451
    • /
    • 2015
  • Fascin-1 (FSCN1) is an actin-bundling protein that induces cell membrane protrusions, increases cell motility, and is overexpressed in various human epithelial cancers, including esophageal squamous cell carcinoma (ESCC). We analyzed various protein-protein interactions (PPI) of differentially-expressed genes (DEGs), in fascin knockdown ESCC cells, to explore the role of fascin overexpression. The node-degree distributions indicated these PPI sub-networks to be characterized as scale-free. Subcellular localization analysis revealed DEGs to interact with other proteins directly or indirectly, distributed in multiple layers of extracellular membrane-cytoskeleton/ cytoplasm-nucleus. The functional annotation map revealed hundreds of significant gene ontology (GO) terms, especially those associated with cytoskeleton organization of FSCN1. The Random Walk with Restart algorithm was applied to identify the prioritizations of these DEGs when considering their relationship with FSCN1. These analyses based on PPI network have greatly expanded our comprehension of the mRNA expression profile following fascin knockdown to future examine the roles and mechanisms of fascin action.