Evidence map›Paper›PMID 40504445›Full record

ArticleDiscover oncology2025

Genetically predicted immune cells mediates the association between hepatocellular carcinoma and inflammatory proteins: a Mendelian randomization study.

Yunlan Wang, Zijia Tao, Ying Cheng, Shaokun Wang, Dehui Yi

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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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.

Yunlan WangThe Department of Organ Transplantation and Hepatobiliary Surgery, The First Hospital of China Medical University, Shenyang, 110000, China.
Zijia TaoDepartment of Interventional Radiology, the First Hospital of China Medical University, Shenyang, 110000, China.
Ying ChengKey Laboratory of Organ Transplantation of Liaoning Province, Department of Organ Transplantation and Hepatobiliary Surgery, First Hospital of China Medical University, Shenyang, 110000, China. chengying75@sina.com.
Shaokun WangHematology Laboratory, Shengjing Hospital of China Medical University, Shenyang, 110022, China. wangshaokun007@126.com.
Dehui YiThe Department of Organ Transplantation and Hepatobiliary Surgery, The First Hospital of China Medical University, Shenyang, 110000, China. dhyi@cmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) currently poses a formidable threat to human life and health, and an observable increase in the number of deaths is evident year by year. Currently, surgical resection stands as the foremost treatment modality; however, recurrence remains a persistent challenge, posing a significant barrier to the long-term prognosis for individuals diagnosed with HCC. Studies indicated that the risk of HCC may be influenced by inflammatory proteins and immune cells, but the associations between inflammatory proteins, immune cells, and HCC remained unclear.

methodsThe investigation integrated data from 731 types of circulating immune cells and 91 inflammatory proteins, alongside a cohort involving 456,348 participants (comprising 456,220 controls and 128 cases) sourced from genome-wide association studies (GWAS). The principal objective of our research was to assess the potential causal association between inflammatory proteins and HCC by bidirectional univariate MR (UVMR) analysis. Furthermore, the total genetic prediction effect of immune cells-mediating inflammatory proteins on the likelihood of developing HCC was investigated by a two-step multivariable MR (MVMR).

resultsOur results indicated that 2-positive inflammatory proteins (IL-17A and TNF-β) suggest a potential causal relationship on HCC, and HCC could affect FGF-21 by bidirectional UVMR analysis. Additionally, four immune cell types (CD25 on IgD+ CD38dim B cells, CD4 on CD39+ secreting CD4 regulatory T cells, CD25 on B cells, and CD25 on IgD+ B cells) exhibited an inverse relationship with the risk of HCC. Moreover, two inflammatory proteins demonstrated dual effects on HCC risk through modulation-either decreasing or increasing-the aforementioned four immune cell types, each with varying proportions of mediation effects as analyzed through two-step mediation MR analysis.

conclusionThis study revealed the potential causality between inflammatory proteins, immune cells, and HCC risk by MR analyses, which may potentially offer a deeper comprehension for the risk of HCC and the interaction between inflammatory proteins, immune cells and HCC and may help to seek new biomarkers for predicting the likelihood of developing HCC.

Indexed as

BiomarkersHepatocellular carcinoma (HCC)Immune cellsInflammatory proteinsMendelian randomization (MR)

Identifiers

PMID40504445
PMCPMC12162428

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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.