Evidence map›Paper›PMID 26440936›Full record

SynthesisPloS one2015

Serum IL-10 Predicts Worse Outcome in Cancer Patients: A Meta-Analysis.

Shuai Zhao, Dang Wu, Pin Wu, Zhen Wang, Jian Huang

Registry-linked trialOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07509385 (The Role of Serum Cytokines IL_17 A and IL_10 in Disease Activity of Acute B Lymphoblastic Leukemia in South Egypt), which is not on this map. Cited by 102 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07509385 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Role of Serum Cytokines IL_17 A and IL_10 in Disease Activity of Acute B Lymphoblastic Leukemia in South Egypt

TypeobservationalSponsorAssiut UniversityRan2026 to 2027Enrolled80ConditionsAcute Lymphoblastic Leukemia, B-Cell
3 · Its place in the literature

Who cites it

102 citing papers in PubMed, 4 syntheses or guidelines pooled it, 164 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Shuai ZhaoCancer Institute (Key Laboratory of Cancer Prevention & Intervention, National Ministry of Education; Provincial Key Laboratory of Molecular Biology in Medical Sciences), Zhejiang University, Hangzhou, China; Department of Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Dang WuCancer Institute (Key Laboratory of Cancer Prevention & Intervention, National Ministry of Education; Provincial Key Laboratory of Molecular Biology in Medical Sciences), Zhejiang University, Hangzhou, China; Department of Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Pin WuCancer Institute (Key Laboratory of Cancer Prevention & Intervention, National Ministry of Education; Provincial Key Laboratory of Molecular Biology in Medical Sciences), Zhejiang University, Hangzhou, China; Department of Thoracic Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Zhen WangCancer Institute (Key Laboratory of Cancer Prevention & Intervention, National Ministry of Education; Provincial Key Laboratory of Molecular Biology in Medical Sciences), Zhejiang University, Hangzhou, China; Department of Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Jian HuangCancer Institute (Key Laboratory of Cancer Prevention & Intervention, National Ministry of Education; Provincial Key Laboratory of Molecular Biology in Medical Sciences), Zhejiang University, Hangzhou, China; Department of Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIL-10 is an important immunosuppressive cytokine which is frequently elevated in tumor microenvironment. Some studies have reported that overexpression of serous IL-10 is correlated with worse outcome in patients with malignant tumor. Here, we conducted a meta-analysis to assess the prognostic impact of serous IL-10 expression in cancer patients.

methodsWe searched PubMed and EBSCO for studies in evaluating the association of IL-10 expression-in serum and clinical outcome in cancer patients. Overall survival (OS) was the primary prognostic indicator and disease-free survival (DFS) was the secondary indicator. Extracted data were computed into odds ratios (ORs) and 95% confidence interval (CI) or a P value for survival at 1, 3 and 5 years. Pooled data were weighted using the Mantel-Haenszel Fixed-effect model. All statistical tests were two-sided.

resultsA total of 1788 patients with cancer from 21 published studies were incorporated into this meta-analysis. High level of serum IL-10 was significantly associated with worse OS at 1-year (OR = 3.70, 95% CI = 2.81 to 4.87, P < 0.00001), 3-year (OR = 3.33, 95% CI = 2.53 to 4.39, P < 0.0001) and 5-year (OR = 2.80, 95% CI = 1.90 to 4.10, P < 0.0001) of cancer. Subgroup analysis showed that the correlation between serous IL-10 expression and outcome of patients with solid tumors and hematological malignancies are consistent. The association of IL-10 with worse DFS at 1-year (OR = 3.34, 95% CI = 1.40 to 7.94, P = 0.006) and 2-year (OR = 3.91, 95% CI = 1.79 to 8.53, P = 0.0006) was also identified.

conclusionsHigh expression of serous IL-10 leads to an adverse survival in most types of cancer. IL-10 is a valuable biomarker for prognostic prediction and targeting IL-10 treatment options for both solid tumors and hematological malignancies.

Indexed as

Biomarkers, TumorDisease-Free SurvivalHumansInterleukin-10NeoplasmsPrognosisSurvival RateBiomarkers, TumorIL10 protein, humanInterleukin-10

Identifiers

PMID26440936
PMCPMC4595202
OpenAlexW1952821838

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.