| Title |
Increased serum levels of interleukin-10 predict poor prognosis in extranodal natural killer/T-cell lymphoma patients receiving asparaginase-based chemotherapy
|
|---|---|
| Published in |
OncoTargets and therapy, September 2015
|
| DOI | 10.2147/ott.s91077 |
| Pubmed ID | |
| Authors |
Hua Wang, Liang Wang, ZhiJun Wuxiao, HuiQiang Huang, WenQi Jiang, ZhiMing Li, Yue Lu, ZhongJun Xia |
| Abstract |
There are currently no prognostic biomarkers for extranodal natural killer/T-cell lymphoma (ENKTL) patients receiving asparaginase-based chemotherapy. Interleukin-10 (IL-10) is a pleiotropic cytokine that is involved in the stimulation and suppression of immune responses and influences the prognosis of different subtypes of lymphoma. We retrospectively analyzed 98 newly diagnosed patients with ENKTL receiving asparaginase-based chemotherapy. Baseline serum IL-10 levels were tested with sandwich enzyme-linked immunosorbent assays. Patients with high IL-10 (≥12.28 pg/mL) at diagnosis tended to have more adverse clinical features. Patients with low IL-10 (<12.28 pg/mL) at diagnosis had better progression-free survival (PFS) (P>0.001) and overall survival (OS) (P<0.001). Multivariate analysis revealed that baseline serum IL-10 level ≥12.28 pg/mL, stage III/IV, elevated serum ferritin, and elevated serum Epstein-Barr virus DNA level at diagnosis were four adverse factors for PFS and OS. Based on these four independent prediction factors, we divided the patients into different subgroups as follows: group 1, no adverse factors; group 2, one factor; group 3, two factors; and group 4, three or four factors. Furthermore, significant differences in PFS and OS were found between the groups. Our results suggest that pretreatment serum IL-10 is a novel, powerful predictor of prognosis for ENKTL patients receiving asparaginase-based chemotherapy, which suggests a role for IL-10 in the pathogenesis of this disease and offers new insight into potential therapeutic strategies. |
X Demographics
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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 6 | 32% |
| Student > Master | 3 | 16% |
| Researcher | 3 | 16% |
| Student > Ph. D. Student | 2 | 11% |
| Professor | 2 | 11% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 37% |
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Agricultural and Biological Sciences | 2 | 11% |
| Immunology and Microbiology | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
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 24 September 2015.
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#22,759,802
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Outputs from OncoTargets and therapy
#2,078
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#237,476
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Outputs of similar age from OncoTargets and therapy
#61
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