Evidence map›Paper›PMID 40534852›Full record

ReviewFrontiers in immunology2025

Tertiary lymphoid structures in esophageal cancer: a novel target for immunotherapy.

Ke Zhai, Yuting Ma, Xue Gao, Kun Ru, Miaoqing Zhao

Abstract readReview
In one paragraph

Review 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Ke ZhaiShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Yuting MaDepartment of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Xue GaoDepartment of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Kun RuShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Miaoqing ZhaoDepartment of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC), especially esophageal squamous cell carcinoma (ESCC), which is the most common subtype in China, is one of the most aggressive gastrointestinal malignancies. Traditional treatments like surgery, radiotherapy, and chemotherapy have limited success, but the study of tertiary lymphoid structure (TLS) has opened new avenues for immunotherapy. TLS is an ectopic immune cell cluster, including B cells, T cells, and dendritic cells (DCs), that forms in chronic inflammation such as tumors. TLS is often found at tumor invasion margins and is linked to better prognosis in EC patients, with higher TLS density and maturation associated with prolonged survival. TLS can also serve as a biomarker to assess immunotherapy outcomes. Further exploration of TLS molecular mechanisms could innovate EC treatments, especially by inducing TLS formation to improve therapy. This review summarizes the characteristics of TLS in EC, clinical findings, and the limitations and directions of current research, offering insights for future immunotherapy strategies.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaImmunotherapyTertiary Lymphoid StructuresAnimalsHumansLymphocytes, Tumor-InfiltratingTumor Microenvironmentesophageal cancerimmunotherapypredictive biomarkertertiary lymphoid structurestumor microenvironment

Identifiers

PMID40534852
PMCPMC12174055

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.