Evidence map›Paper›PMID 39081321›Full record

ArticleFrontiers in immunology2024

Circulating immune cells and risk of osteosarcoma: a Mendelian randomization analysis.

Lan Li, Yeqi Sun, Jia Luo, Mengjiao Liu

Abstract read
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Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. Nanotechnology Meets Immunotherapy: Crosstalks Against Cancer.Immunity, inflammation and disease · 2026
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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

4 authors.

Lan LiDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, China.
Yeqi SunDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, China.
Jia LuoHunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, China.
Mengjiao LiuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Osteosarcoma (OS) is the primary bone tumor originating from transformed mesenchymal cells. It is unclear whether associations between specific circulating immune cells and OS are causal or due to bias. To clarify whether predicted genetically altered circulating immune cells are associated with OS development, we performed a two-sample Mendelian randomization (MR) analysis. Methods: The genetic variants strongly associated with immune cell traits as instrumental variables (IVs) were used to perform MR analyses. The effect of specific immune cells on OS risk was measured using the summary statistics from the genome-wide association studies (GWAS). Results: Our findings indicate that CD80 on CD62L+ myeloid dendritic cell and CD28-CD4-CD8- T-cell absolute count are positively associated with OS (CD80 on CD62L+ myeloid dendritic cell, OR: 3.41 [95% CI: 1.40 to 8.31], Conclusions: These findings illustrate that the genetic predisposition to specific immune cells can exert a causal effect on OS risk, which confirms the crucial role played by immunity in OS development. Particularly, the causal association between immune cells and OS underscores the evidence for exploring the new treatment strategy for OS in the future.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyMendelian Randomization AnalysisOsteosarcomaBone NeoplasmsDendritic CellsHumansPolymorphism, Single NucleotideRisk Factorsimmune cellimmunotherapyMendelian randomization analysisosteosarcomarisk factor

Identifiers

PMID39081321
PMCPMC11286390

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Registered trials

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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.