Evidence map›Paper›PMID 41181122›Full record

ArticleFrontiers in immunology2025

Correlation of immune cell subsets in the tumor microenvironment and peripheral blood with immunotherapy response in esophageal squamous cell carcinoma.

Wei Chen, Lian Gong, Yahu Li, Mengyao Wu, Min Tao

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
    Review
  2. Review
  3. 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

5 authors.

Wei ChenDepartment of Oncology, Nantong Tumor Hospital, Tumor Hospital Affiliated to Nantong University, Nantong, China.
Lian GongDepartment of Oncology, Taicang Loujiang New City Hospital (Ruijin Hospital, Taicang), Suzhou, China.
Yahu LiDepartment of Oncology, Longgang District Third People's Hospital, Shenzhen, China.
Mengyao WuDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Min TaoDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Esophageal squamous cell carcinoma (ESCC) is commonly diagnosed at an advanced stage, where conventional chemoradiotherapy offers only limited clinical benefit. Immune checkpoint inhibitors targeting the tumor microenvironment (TME) have demonstrated substantial therapeutic potential; however, reliable biomarkers for predicting therapeutic outcomes remain unclear. Methods: Single-cell RNA sequencing dataset for ESCC was obtained from the GEO database and analyzed using the Seurat R package to evaluate gene expression in tumor and adjacent tissues. Additionally, flow cytometry was used to assess immune cell subsets in peripheral blood samples from patients undergoing immunotherapy. Statistical analyses, including survival analysis and the Kruskal-Wallis test, were conducted to investigate the association between immune cell subsets and treatment efficacy. Results: In tumor tissues, immune subsets were significantly enriched compared with adjacent tissues, including CD8 Conclusions: TIM3

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaImmunotherapyTumor MicroenvironmentAgedBiomarkers, TumorFemaleHumansImmune Checkpoint InhibitorsLymphocytes, Tumor-InfiltratingMaleMiddle AgedTreatment OutcomeBiomarkers, TumorImmune Checkpoint Inhibitorsesophageal squamous cell carcinomaflow cytometryimmunotherapyT cell immunoglobulin and mucin domain molecule 3tumor microenvironment

Identifiers

PMID41181122
PMCPMC12575347

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.