Evidence map›Paper›PMID 40461862›Full record

ArticleDiscover oncology2025

The role of immune cells phenotype in neuroendocrine tumors development.

Jie Qiao, Yi-Wen Wu, Yuan-You Wang, Jing-Jing Huang, Peng-Fei Shan

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jie QiaoDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yi-Wen WuDepartment of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yuan-You WangDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jing-Jing HuangDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Peng-Fei ShanDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. pengfeishan@zju.edu.cn.

Funding

Key Research and Development Program Project of Ministry of Science and Technology of the People's Republic of China 2022YFC3601600National Natural Science Foundation of China 81870564Natural Science Foundation of Zhejiang Province LHDMD24H030001
6 · The paper itself

Abstract

backgroundNeuroendocrine tumors (NETs) are closely linked to immune disorders, yet the causal relationship between them remains incompletely explored. This study investigates the causal associations between 731 immune features and six types of NETs.

methodA bidirectional, two-sample Mendelian randomization (MR) analysis is employed to examine the causal relationship between immune cell characteristics and NETs. Publicly available genome-wide association study (GWAS) genetic data are analyzed to explore causal links between 731 immune cell phenotypes and the risk of six NETs.

resultsAfter false discovery rate (FDR) correction, no statistically significant effect of the six NETs on the immunophenotype is observed. However, T cells play a crucial role in the development of gastric neuroendocrine tumors (GNETs). Specifically, SSC-A on CD4+ T cells significantly reduces the likelihood of developing GNETs, with an odds ratio (OR) of 0.16 (95% CI=0.084-0.328, P = 2.58×10⁻⁷, FDR = 1.16×10⁻⁴). Terminally differentiated CD4⁻CD8⁻ T cells (OR=14.37, 95% CI=3.647-56.587, P =1.39×10⁻⁴, FDR=0.021) and naive CD4+ T cells (OR=5.32, 95% CI=2.513-11.284, P =1.27×10⁻⁵, FDR=0.0029) are associated with an increased risk of GNETs.

conclusionsThis study elucidates the causal relationship between 731 immune cells and six types of NETs, identifying three immune phenotypes significantly associated with GNETs pathogenesis. These findings provide new perspectives for future medical research.

Indexed as

Causal relationshipImmunophenotypesMR analysisNeuroendocrine tumorsSensitivity

Identifiers

PMID40461862
PMCPMC12133667

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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.