Evidence map›Paper›PMID 41883402›Full record

ArticleOpen life sciences2025

Neutrophil-related signature characterizes immune landscape and predicts prognosis of esophageal squamous cell carcinoma.

Zhipeng Hu, Zhi Ye, Yanan Guo, Miao Li

Abstract read
In one paragraph

Article in Open life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Zhipeng HuDepartment of Thoracic Surgery, Qinghai Provincial People's Hospital, Xining 810000, Qinghai, China.
Zhi YeDepartment of Thoracic Surgery, Qinghai Provincial People's Hospital, Xining 810000, Qinghai, China.
Yanan GuoDepartment of Thoracic Surgery, Qinghai Provincial People's Hospital, Xining 810000, Qinghai, China.
Miao LiDepartment of Oncology, Qinghai Provincial Tumor Hospital, Fifth People's Hospital of Qinghai Province, Xining 810000, Qinghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is a globally prevalent malignancy, and neutrophils play a dual role in its progression and antitumor responses. This study aimed to investigate the prognostic significance of neutrophil-related genes (NRGs) and their potential in defining ESCC molecular subtypes. We identified differentially expressed genes (DEGs) and used univariate Cox analysis, followed by LASSO and multivariate Cox regression, to establish a five-gene prognostic signature. The model's predictive performance was confirmed in an external validation cohort. To validate this, we performed qPCR to investigate the expression patterns of the five biomarkers, and the results were completely consistent with our data mining findings. Additionally, we performed consensus clustering to identify distinct molecular subtypes and assessed their characteristics through functional enrichment and immune microenvironment analyses. The prognostic model demonstrated robust predictive power. Patients with a high NRG score had significantly worse survival outcomes and a more complex immune microenvironment. Our analysis also revealed two distinct ESCC subtypes, Cluster 1 and Cluster 2, with Cluster 1 showing higher expression of immune checkpoints and significant differences in functional enrichment and immune microenvironment composition. In conclusion, NRGs serve as promising prognostic biomarkers in ESCC, providing insights into distinct molecular subtypes with clinical implications for personalized therapy. These findings underscore the need for further research on NRGs to advance our understanding of ESCC biology.

Indexed as

esophageal squamous cell carcinomamachine learningneutrophilprognosissubtype

Identifiers

PMID41883402
PMCPMC13011612

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.