| Title |
Prognostic value of high FoxC2 expression in resectable non-small cell lung cancer, alone or in combination with E-cadherin expression
|
|---|---|
| Published in |
BMC Cancer, January 2016
|
| DOI | 10.1186/s12885-016-2056-0 |
| Pubmed ID | |
| Authors |
Wei Jiang, Hong Fan, Cheng Qian, Jianyong Ding, Qun Wang, Xuguang Pang |
| Abstract |
FoxC2 is an epithelial-mesenchymal transition (EMT) regulator which induces metastasis. The purpose of this study is to assess the prognostic value of FoxC2 expression in non-small cell lung cancer (NSCLC), alone or in combination with E-cadherin expression. A retrospective study was conducted using immunohistochemistry to investigate FoxC2 and E-cadherin expression in a cohort of 309 patients with surgically resected NSCLCs. The prognostic value of FoxC2 and E-cadherin on overall survival (OS) and recurrence-free survival (RFS) was determined by Kaplan-Meier analysis and Cox proportional hazard models. High FoxC2 expression was detected in 26.5 % of tumors, and significantly correlated with tobacco use (p = 0.047), adenocarcinoma (p = 0.008) and nodal involvement (p < 0.001). Univariate analysis revealed its association with OS (p = 0.036) and RFS (p = 0.011). By multivariate analysis, high FoxC2 expression lost its significance as an independent predictor of recurrence (p = 0.077), while TNM stage, nodal status and the presence of high FoxC2 and impaired E-cadherin expression retained independent prognostic significance in relation to both OS and RFS. Subset analyses indicated that high FoxC2 expression was significantly associated with disease outcome in node-positive, but not in node-negative patients. Evaluation of FoxC2 expression, alone or in combination with E-cadherin expression, may help to stratify NSCLC patients for risk of disease progression, pointing to this EMT regulator as a potential prognostic marker. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 15% |
| Student > Postgraduate | 2 | 15% |
| Student > Master | 2 | 15% |
| Student > Bachelor | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 38% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Chemistry | 1 | 8% |
| Unknown | 5 | 38% |
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 13 January 2016.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Cancer
#5,156
of 8,483 outputs
Outputs of similar age
#275,244
of 400,759 outputs
Outputs of similar age from BMC Cancer
#99
of 182 outputs
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