Evidence map›Paper›PMID 39267848›Full record

ArticleFrontiers in oncology2024

Exploration of the causal relationship between inflammatory cytokines and prostate carcinoma: a comprehensive Mendelian randomization study.

Xianfu Cai, Decai Wang, Chenguang Ding, Yang Li, Jin Zheng, Wujun Xue

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

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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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Xianfu CaiDepartment of Renal Transplantation, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Decai WangDepartment of Urology, Mianyang Hospital Affiliated to School of Medicine, University of Electronic Science and Technology of China Mianyang Central Hospital, Mianyang, China.
Chenguang DingDepartment of Renal Transplantation, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yang LiDepartment of Renal Transplantation, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jin ZhengDepartment of Renal Transplantation, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wujun XueDepartment of Renal Transplantation, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate cancer (PCa) is one of the most prevalent malignancies affecting males; however, the role of inflammatory activity in the pathogenesis of this disease is not yet fully elucidated. Although inflammation is recognized as being closely associated with the onset and progression of PCa, the specific causal relationships between individual inflammatory factors and the disease require further clarification. Methods: Mendelian randomization (MR) methodologies can mitigate bias by utilizing whole-genome sequencing data, leveraging specific genetic variants to assess causal relationships between a given exposure and an outcome of interest. This research employed an MR approach to investigate the association between inflammatory cytokines and PCa. Results: In total, 44 inflammatory cytokines were evaluated in a large GWAS dataset to enable the drawing of robust conclusions. Elevated circulating C-reactive protein (CRP) and prostaglandin E2 (PGE-2) levels were related to greater PCa risk. The reverse Mendelian randomization (MR) study indicates a causal relationship between prostate cancer and stem cell factor (SCF) ( Conclusion: CRP and PGE-2 play crucial roles in the regulation of PCa development. Moreover, PCa may have an impact on SCF levels. Further research is imperative to elucidate whether these biomarkers can be effectively utilized to prevent or treat PCa.

Indexed as

inflammatory factorsmalignant neoplasm of prostateMendelian randomizationprostate carcinomarisk

Identifiers

PMID39267848
PMCPMC11390350

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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.