| Title |
Elevated plasma interleukin-35 levels predict poor prognosis in patients with non-small cell lung cancer
|
|---|---|
| Published in |
Tumor Biology, December 2014
|
| DOI | 10.1007/s13277-014-2887-8 |
| Pubmed ID | |
| Authors |
Xiaobin Gu, Tian, Bo Zhang, Yang Liu, Chao Yuan, Lijuan Shao, Yajun Guo, Kexing Fan |
| Abstract |
Interleukin-35 (IL-35) has recently been implicated in tumor immunity. The aim of this study was to explore the clinical role of plasma IL-35 in patients with non-small cell lung cancer (NSCLC). Plasma collected from 106 patients with NSCLC cases and 78 healthy controls (HC) were subjected to IL-35 enzyme-linked immunosorbent assay (ELISA) and relationships between plasma IL-35 levels and clinical characteristics were evaluated. The correlation of IL-35 and overall survival was analyzed using Kaplan-Meier method. The prognostic value of IL-35 was tested using univariate and multivariate analysis. Circulating IL-35 levels were significantly higher in the NSCLC group in comparison with the HC group (21.37 ± 11.55 pg/ml vs. 10.09 ± 5.32 pg/ml, p < 0.001). Correlation analysis by subgroup indicated that plasma IL-35 correlated positively with tumor TNM stage (p < 0.001) and lymph node metastases (p < 0.0001). Using a cutoff level of 20.26 pg/ml (median value), IL-35 showed an inverse correlation with overall survival. Univariate and multivariate analysis indicated that plasma IL-35 was an independent prognostic factor for NSCLC patients. Circulating IL-35 in NSCLC patients significantly increased. IL-35 is a promising potential biomarker in prognostication of clinical outcome of NSCLC patients and the regulation of IL-35 expression may provide a new target for the treatment of NSCLC 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 % |
|---|---|---|
| Romania | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Student > Master | 4 | 20% |
| Researcher | 3 | 15% |
| Student > Bachelor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 25% |
| Medicine and Dentistry | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Immunology and Microbiology | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 January 2015.
All research outputs
#15,579,818
of 23,923,788 outputs
Outputs from Tumor Biology
#991
of 2,624 outputs
Outputs of similar age
#209,001
of 365,760 outputs
Outputs of similar age from Tumor Biology
#53
of 149 outputs
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We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.