Evidence map›Paper›PMID 39009684›Full record

ArticleScientific reports2024

The impact of tertiary lymphoid structures on tumor prognosis and the immune microenvironment in non-small cell lung cancer.

Yiming Weng, Jingping Yuan, Xue Cui, Jinsong Wang, Honglei Chen, Li Xu, Xinyi Chen, Min Peng, Qibin Song

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Review
  6. Article
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  8. T-Cell Immunity and Lung Cancer.Respirology (Carlton, Vic.) · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Spatial Profiling Identifies Tumor-Associated Stroma Enrichment and MIF as Potential Immunotherapy Targets in Primary Ewing Sarcomas.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

9 authors.

Yiming Weng *Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Jingping Yuan *Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.
Xue CuiDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Jinsong WangDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Honglei ChenDepartment of Pathology, School of Basic Medical Sciences, Wuhan University, Wuhan, China.
Li XuDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.
Xinyi ChenDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
Min PengDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China. mpeng320@whu.edu.cn.
Qibin SongDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, China. qibinsong@whu.edu.cn.

Funding

Beijing Science and Innovation Medical Development Foundation KC2021-JX-0186-18China primary healthcare foundation cphcf-2022-183China zhongguancun Precision Medicine science and technology foundation ZLXGBXKYXM-030-02National Science Foundation of China No. 81770169The Hubei Science Foundation for Distinguished Young Scholars 2023AFA079The Interdisciplinary Innovative Talents Foundation from Renmin Hospital of WuhanUniversity JCRCFZ-2022-025Wu Jieping Medical Foundation Project 320.6750.2021-02-127
6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is a common malignancy whose prognosis and treatment outcome are influenced by many factors. Some studies have found that tertiary lymphoid structures (TLSs) in cancer may contribute to prognosis and the prediction of immunotherapy efficacy However, the combined role of TLSs in NSCLC remains unclear. We accessed The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases to obtain mRNA sequencing data and clinical information as the TCGA cohort, and used our own sample of 53 advanced NSCLC as a study cohort. The samples were divided into TLS+ and TLS- groups by pathological tissue sections. Patients of the TLS+ group had a better OS (p = 0.022), PFS (p = 0.042), and DSS (p = 0.004) in the TCGA cohort, and the results were confirmed by the study cohort (PFS, p = 0.012). Furthermore, our result showed that the count and size of TLSs are closely associated with the efficacy of immunotherapy. In addition, the TLS+ group was associated with better immune status and lower tumor mutation load. In the tumor microenvironment (TME), the expression levels of CD4+ T cells and CD8+ T cells of different phenotypes were associated with TLSs. Overall, TLSs are a strong predictor of survival and immunotherapeutic efficacy in advanced NSCLC, and T cell-rich TLSs suggest a more ordered and active immune response site, which aids in the decision-making and application of immunotherapy in the clinic.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsTertiary Lymphoid StructuresTumor MicroenvironmentAgedFemaleHumansImmunotherapyMaleMiddle AgedPrognosisImmunotherapyNon-small cell lung cancer (NSCLC)PrognosisTertiary lymphoid structures (TLSs)Tumor microenvironment (TME)

Identifiers

PMID39009684
PMCPMC11250816

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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.