Evidence map›Paper›PMID 40816878›Full record

ArticleImmunology2026

Tertiary Lymphoid Structures Predict Prognosis and Immune Checkpoint Inhibitor Efficacy in Lung Squamous Cell Carcinoma.

Kuifei Chen, Suna Zhou, Pin Zhou, Zhenwei Sun, Yixiu Xu, Ziran Chen, Liangmin Zhang, Wenhu Pi, Meifu Gan, Haihua Yang

Abstract read
In one paragraph

Article in Immunology, 2026. 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. Immunotherapy for Glioma: A compartmental framework for resistance and rational combination design.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  2. Review
  3. Article
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

10 authors.

Kuifei ChenTaizhou Hospital of Zhejiang Province, Shaoxing University, Taizhou, Zhejiang, China.
Suna ZhouKey Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Pin ZhouDepartment of Pathology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Zhenwei SunTaizhou Hospital of Zhejiang Province, Shaoxing University, Taizhou, Zhejiang, China.
Yixiu XuKey Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Ziran ChenKey Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Liangmin ZhangDepartment of Pathology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Wenhu PiKey Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Meifu GanDepartment of Pathology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Haihua YangTaizhou Hospital of Zhejiang Province, Shaoxing University, Taizhou, Zhejiang, China.ORCID 0000-0001-5549-8633

Funding

Basic Public Welfare Research Project of Zhejiang Province LGF21H160027Medicine and Health Science and Technology Project of Zhejiang Province 2024KY1829National Natural Science Foundation of China NSFC 81874221
6 · The paper itself

Abstract

Lung squamous cell carcinoma (LUSC) is a highly mortal cancer. Tertiary lymphoid structures (TLSs) play a crucial role in creating a specific and essential environment for the development of cellular and humoral immune responses against tumours. This study investigated the effect of TLSs on prognosis and the prediction of immunotherapy efficacy in LUSC. To investigate the association between TLSs and clinicopathological features, haematoxylin and eosin staining and multiple immunofluorescence staining were performed. A comparative examination of survival and the factors influencing it was carried out between the TLS-/+, high and low TLS density, immature tertiary lymphoid structures (imTLS) and mature tertiary lymphoid structures (mTLS) groups of patients. To further analyse the prognostic value of TLSs in the immunotherapy cohort of patients with LUSC, two hundred and ninety-seven patients with LUSC were enrolled in this study. Of these, 129 patients were harbouring TLS+. Cramer's V relationships analysis revealed that both Stage (p = 0.029) and PD-L1 ≥ 50% (p = 0.011) were significant predictors of TLS+. Cox proportional hazards model multivariate analysis showed that the TLS+ (p = 0.037), high TLS density (p = 0.014) and mTLS (p = 0.001) were associated with better overall survival (OS) in LUSC patients. Multivariate analyses confirmed that TLS+ was an independent prognostic predictor for OS in the LUSC immunotherapy cohort (p = 0.021). This study provided evidence that LUSC patients with TLS+, high TLS density and mTLS had a favourable prognosis, suggesting that TLSs are an independent positive prognostic factor for LUSC patients.

Indexed as

Carcinoma, Squamous CellImmune Checkpoint InhibitorsLung NeoplasmsTertiary Lymphoid StructuresAdultAgedAged, 80 and overB7-H1 AntigenFemaleHumansImmunotherapyMaleMiddle AgedPrognosisTreatment OutcomeTumor MicroenvironmentB7-H1 AntigenImmune Checkpoint Inhibitorsimmunotherapylung squamous cell carcinomatertiary lymphoid structurestumour microenvironment

Identifiers

PMID40816878
PMCPMC12665806

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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.