| Title |
Clinicopathological significance of fascin-1 expression in patients with non-small cell lung cancer
|
|---|---|
| Published in |
OncoTargets and therapy, June 2015
|
| DOI | 10.2147/ott.s84308 |
| Pubmed ID | |
| Authors |
Xiao-Ling Ling, Tao Zhang, Xiao-Ming Hou, Da Zhao |
| Abstract |
Fascin-1 promotes the formation of filopodia, lamellipodia, and microspikes of cell membrane after its cross-linking with F-actin, thereby enhancing the cell movement and metastasis and invasion of tumor cells. This study explored the fascin-1 protein's expression in non-small cell lung cancer (NSCLC) tissues and its relationship with clinical pathology and prognostic indicators. Immunohistochemical analysis was used to determine the expression of fascin-1 in NSCLC tissues. We used quantitative real-time polymerase chain reaction and western blot analysis to further verify the results. The fascin-1 expression and statistical method for clinical pathological parameters are examined by χ (2). Kaplan-Meier method is used for survival analysis. Cox's Proportional Hazard Model was used to conduct a combined-effect analysis for each covariate. In 73 of the 128 cases, NSCLC cancer tissues (57.0%) were found with high expression of fascin-1, which was significantly higher than the adjacent tissues (35/128, 27.3%). The results suggested that the high expression of fascin-1 was significantly correlated with lymph node metastasis (P=0.022) and TNM stage (P=0.042). The high fascin-1 expression patients survived shorter than those NSCLC patients with low fascin-1 expression (P<0.05). Univariate analysis revealed that lymph node metastasis, TNM stage, and fascin-1 expression status were correlated with the overall survival. Similarly, lymph node metastasis, TNM stage, and fascin-1 expression status were significantly associated with the overall survival in multivariate analyses by using the Cox regression model. The fascin-1 protein may be a useful prognostic indicator and hopeful new target for NSCLC patients. |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 33% |
| Unknown | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 1 | 33% |
| Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2015.
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#22,935,114
of 25,576,275 outputs
Outputs from OncoTargets and therapy
#2,089
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#240,462
of 281,797 outputs
Outputs of similar age from OncoTargets and therapy
#49
of 71 outputs
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