ArticleJournal of gastrointestinal oncology2025
Deciphering the immunometabolic axis: a mendelian randomization study of a causal cascade network from immune cell phenotypes to metabolites in esophageal cancer.
Article in Journal of gastrointestinal oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Development and internal validation of a prognostic model for esophageal cancer liver metastases using the Surveillance, Epidemiology, and End Results database.Journal of thoracic disease · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The causal relationship between immune cell phenotypes and esophageal cancer (EC) has not yet been fully elucidated. Further, the potential mediating role of metabolites in the relationship between immune cell phenotypes and EC remains largely unexplored. This study investigated the genetic mechanisms underlying the effects of immune cells on EC, and examined the mediating effects of metabolites. Methods: This study adopted a bidirectional two-sample Mendelian randomization (MR) approach to assess the causal relationship between immune cell phenotypes and EC. A reverse MR analysis was performed to eliminate potential reverse causation bias. Additionally, a two-step MR analysis and multivariable Mendelian randomization (MVMR) analysis were conducted to investigate potential metabolite mediators between immune cells and EC. Results: First, the bidirectional two-sample univariable MR analysis revealed statistically significant causal associations between 22 immune cell phenotypes and EC. A subsequent MRMR analysis was conducted to evaluate the independent causal effects of these phenotypes on EC, and revealed persistent significant correlations for three specific subtypes: CD38 Conclusions: This study provides genetic evidence supporting the causal roles of specific immune cell phenotypes, particularly CD38
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Registered trials
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