Evidence map›Paper›PMID 41024850›Full record

ArticleWorld journal of clinical oncology2025

Inflammation and detection: Rethinking the biomarker landscape in gastric cancer.

Keykavous Parang, Koosha Paydary

Abstract readLetter
In one paragraph

Article in World journal of clinical oncology, 2025. 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

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

2 citing papers in PubMed.

  1. Review
  2. Mapping immune trajectories fromFrontiers in immunology · 2025
    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

2 authors.

Keykavous ParangCenter for Targeted Drug Delivery, Department of Biomedical and Pharmaceutical Sciences, School of Pharmacy, Chapman University, Irvine, CA 92618, United States. parang@chapman.edu.
Koosha PaydarySection of Hematology/Oncology and Cell Therapy, Rush University Medical Center, Chicago, IL 60607, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric carcinoma is a leading cause of cancer-related mortality worldwide, yet reliable noninvasive biomarkers for its early detection remain limited. As research continues to elucidate the inflammatory underpinnings of tumor initiation and progression, it has become increasingly clear that pro-inflammatory cytokines may hold promise as diagnostic adjuncts. Serum cytokines such as interleukin (IL)-1β, IL-6, IL-8, and interferon-gamma have been frequently reported as elevated in gastric cancer patients compared to healthy individuals. These molecules, known for their roles in modulating tumor-promoting inflammation, angiogenesis, and immune evasion, may serve as accessible indicators of disease presence or progression. Several studies have shown that individual cytokines, particularly IL-6 and IL-8, can achieve receiver operating characteristic curves and area under the curve values exceeding 0.70, suggesting reasonable diagnostic utility. We assess the comparative utility of individual cytokines versus multiplex panels, evaluate their roles in tumor biology and treatment resistance, and situate these findings within the broader inflammatory biomarker landscape. Limitations of the current literature, including small sample sizes, heterogeneity in study design, and lack of specificity, are critically discussed. We advocate for prospective, multicenter validation studies and highlight the promise of integrating inflammatory cytokine profiling into diagnostic algorithms. Composite cytokine panels may better reflect the complex immunobiology of tumor progression and offer a scalable, accessible adjunct to current gastric cancer screening strategies.

Indexed as

BiomarkerCytokineDiagnosisGastric carcinomaInflammationPro-inflammatory

Identifiers

PMID41024850
PMCPMC12476615

What Socratic holds

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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 Socratic graph.