| Title |
Serum vascular endothelial growth factors C and D as forecast tools for patients with gallbladder carcinoma
|
|---|---|
| Published in |
Tumor Biology, March 2015
|
| DOI | 10.1007/s13277-015-3316-3 |
| Pubmed ID | |
| Authors |
Min-Chao Liu, Lei Jiang, Hai-Jie Hong, Ze-Wu Meng, Qiang Du, Liang-Yi Zhou, Fei-Fei She, Yan-Ling Chen |
| Abstract |
Gallbladder carcinoma (GBC) is the most common cancer of the biliary tract. Lymph node metastasis (LNM) is the major diffusion route of GBC and is a prognosis factor. The aim of study was to assess the potential of the serum VEGF-C and VEGF-D (sVEGF-C/D) levels to predict the presence of LNM and the survival of GBC patients. The preoperative sVEGF-C/D levels of 31 patients with GBC, 10 patients with cholesterol polyps, and 10 healthy volunteers were measured by enzyme-linked immunoadsorbent assay (ELISA). The sVEGF-C/D levels of patients with GBC were significantly higher than those of people with healthy gallbladders (p < 0.001 and p = 0.001, respectively) and cholesterol polyp (p = 0.032 and p = 0.004, respectively). In GBC, the sVEGF-C levels were associated with LNM (p = 0.011), distant metastasis (p = 0.018), and stage (p = 0.045), but the sVEGF-D levels had a significant association with the tumor depth (p = 0.001), LNM (p = 0.001), distant metastasis (p = 0.047), and stage (p = 0.002). The sVEGF-C/D diagnostic values for the presence of GBC were sensitivity of 71.0 and 74.2 % and specificity of 80.0 and 85.0 %, respectively. With respect to the diagnosis of LNM, the diagnostic values of sVEGF-C/D were as follows: sensitivity 81.2 and 87.5 % and specificity 73.3 and 80.0 %, respectively. The mean survival time with high sVEGF-C was significantly shorter than that with low sVEGF-C (p < 0.001), which was also true for low sVEGF-D (p = 0.032). The preoperative sVEGF-C/D levels might be reliable biomarkers for the presence of disease and LNM in patients with GBC. The sVEGF-C/D levels may be prognosis factors that can predict a poor outcome for GBC patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 45% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Unknown | 5 | 45% |
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 17 November 2015.
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#20,265,771
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#1,834
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Outputs of similar age from Tumor Biology
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