Evidence map›Paper›PMID 41847426›Full record

ArticleJournal of inflammation research2026

Neutrophil Extracellular Traps Predict Prognosis and Neoadjuvant Immunotherapy Response in Gastric Cancer.

Wentao Zhong, Qianyu Wang, Liang Sun, Hongyan Zhu, Huiyun Cai, Junhua Dong, Gang Chen, Aijun Liu, Junfeng Du

Abstract read
In one paragraph

Article in Journal of inflammation research, 2026. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Wentao Zhong *Medical Department of General Surgery, The 1st Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.ORCID 0000-0002-6268-1898
Qianyu Wang *Medical Department of General Surgery, The 1st Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.ORCID 0000-0001-7048-8847
Liang SunMedical Department of General Surgery, The 1st Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Hongyan ZhuDepartment of Pathology, The 7th Medical Center, Chinese PLA General Hospital, Beijing, 100700, People's Republic of China.
Huiyun CaiMedical Department of General Surgery, The 1st Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Junhua DongMedical Department of General Surgery, The 1st Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Gang ChenMedical Department of General Surgery, The 1st Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Aijun LiuDepartment of Pathology, The 7th Medical Center, Chinese PLA General Hospital, Beijing, 100700, People's Republic of China.
Junfeng DuMedical Department of General Surgery, The 1st Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.ORCID 0000-0002-8482-4271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine whether neutrophil extracellular trap (NET) predicts prognosis and response to neoadjuvant immunotherapy in gastric cancer (GC) and explore the associated mechanisms. Patients and Methods: Transcriptomic data from a GEO dataset (GSE62254) comprising 300 GC patients were analyzed. Patients were clustered based on 69 predefined NET-related genes (NRGs) summarized in previous studies, and clinical characteristics and immune cell infiltration between clusters were compared. An NRG signature was constructed. Retrospective clinical data and tissue samples from 243 surgically resected GC patients without neoadjuvant therapy and 49 patients receiving neoadjuvant chemotherapy combined with immunotherapy were collected. RNA sequencing, immunohistochemistry, and immunofluorescence were performed to assess NET density and its clinical relevance. Results: Two NET-related subtypes in GC (NT1 and NT2) with distinct clinical features and survival time were identified. A risk model based on five NRGs demonstrated that NT2 had lower risk scores, correlating with favorable outcomes. High NET density was associated with advanced TNM stage and short recurrence-free survival time in the surgery cohort. In the immunotherapy cohort, low pre-treatment NET density correlated with more T cells predicted superior response rates (45.8% vs. 16.0%, Conclusion: Low NET density is linked to better prognosis and may identify patients with GC who could benefit from immunotherapy. These findings highlight the important role of NET in GC.

Indexed as

biomarkergastric cancerimmunotherapyneutrophil extracellular trapprognosis

Identifiers

PMID41847426
PMCPMC12991298

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