Evidence map›Paper›PMID 26096712›Full record

SynthesisScientific reports2015

Circulating interleukin-6 and cancer: A meta-analysis using Mendelian randomization.

Geng Tian, Jia Mi, Xiaodan Wei, Dongmei Zhao, Lingyan Qiao, Chunhua Yang, Xianglin Li, Shuping Zhang, Xuri Li, Bin Wang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Prognostic significance of pre-intervention circulating cytokines in digestive system cancers: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. A systematic review and meta-analysis to evaluate blood levels of interleukin-6 in lung cancer patients.Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Impact of systemic inflammation biomarkers on the survival outcomes of cervical cancer patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019
    Article
  18. Article
  19. Article
  20. Article
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

10 authors at 2 institutions in 1 country.

Geng TianMedicine and Pharmacy Research Center, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Jia MiMedicine and Pharmacy Research Center, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Xiaodan WeiMedicine and Pharmacy Research Center, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Dongmei ZhaoInstitute of Anatomy, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Lingyan QiaoClinic Institute, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Chunhua YangMedicine and Pharmacy Research Center, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Xianglin LiMedicine and Pharmacy Research Center, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Shuping ZhangInstitute of Pharmacology, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Xuri LiMedicine and Pharmacy Research Center, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Bin WangInstitute of Molecular Imaging, Binzhou Medical University, Laishan District, Yantai, Shandong, China.
Binzhou Medical University · CNBinzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-6 (IL-6) plays a contributory role in the progression and severity of many forms of cancer; it however remains unclear whether the relevance between circulating IL-6 and cancer is causal. We therefore meta-analyzed published articles in this regard using IL-6 gene -174G/C variant as an instrument. Seventy-eight and six articles were eligible for the association of -174G/C variant with cancer and circulating IL-6, respectively. Overall analyses failed to identify any significance between -174G/C and cancer risk. In Asians, carriers of the -174CC genotype had an 1.95-fold increased cancer risk compared with the -174GG genotype carriers (P = 0.009). By cancer type, significance was only attained for liver cancer with the -174C allele conferring a reduced risk under allelic (odds ratio or OR = 0.74; P = 0.001), homozygous genotypic (OR = 0.59; P = 0.029) and dominant (OR = 0.67; P = 0.004) models. Carriers of the -174CC genotype (weighted mean difference or WMD = -4.23 pg/mL; P < 0.001) and -174C allele (WMD = -3.43 pg/mL; P < 0.001) had circulating IL-6 reduced significantly compared with the non-carriers. In further Mendelian randomization analysis, a reduction of 1 pg/mL in circulating IL-6 was significantly associated with an 12% reduced risk of liver cancer. Long-term genetically-reduced circulating IL-6 might be causally associated with a lower risk of liver cancer.

Indexed as

Asian PeopleGenetic Predisposition to DiseaseGenotypeHumansInterleukin-6Liver NeoplasmsPolymorphism, Single NucleotideRandom AllocationIL6 protein, humanInterleukin-6

Identifiers

PMID26096712
PMCPMC4476043
OpenAlexW2253226291

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.