Evidence map›Paper›PMID 40861467›Full record

ArticleFrontiers in immunology2025

Heterogeneity and distribution characteristics of tertiary lymphoid structures predict prognostic outcome in esophageal squamous cell carcinoma.

Chengjuan Zhang, Ruihua Bai, Yanping Hu, Tao Wang, Bin Ma, Junxia Zhang, Jing Yuan, Xiance Tang, He Zhang, Tingjie Wang and 3 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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  5. Terminally exhausted CD8Frontiers in immunology · 2025
    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

13 authors.

Chengjuan ZhangCenter of Bio-Repository, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Ruihua BaiDepartment of Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Yanping HuDepartment of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University& Henan Cancer Hospital, Zhengzhou, China.
Tao WangThe Kids Research Institute Australia, School of Medicine the University of Western Australia, Nedlands, WA, Australia.
Bin MaSchool of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia.
Junxia ZhangAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.
Jing YuanCenter of Bio-Repository, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Xiance TangAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, China.
He ZhangDepartment of Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Tingjie WangDepartment of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University& Henan Cancer Hospital, Zhengzhou, China.
Yuxi ChangDepartment of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University& Henan Cancer Hospital, Zhengzhou, China.
Qingxin XiaDepartment of Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Bing WeiDepartment of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University& Henan Cancer Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Tertiary Lymphoid Structures (TLSs) are ectopic lymphoid aggregates that form within the tumor microenvironment (TME) and are increasingly recognized as potential prognostic biomarkers in various cancers. However, the spatial heterogeneity and prognostic value of TLSs in esophageal squamous cell carcinoma (ESCC) remain poorly defined. This study aimed to characterize the spatial distribution patterns of TLSs and tumor-infiltrating lymphocytes (TILs), and to establish a refined prognostic model for ESCC patients in both surgery-only and neoadjuvant therapy cohorts. Methods: The TLSs were quantified through microscopic evaluation and digital slide analysis and correlated with prognosis by Cox regression and Kaplan-Meier analyses. The heterogeneity and clinical prognostic value of TLSs were explored by analyzing their distribution, density, and maximum diameter in different regions of ESCC patients. Results: TLSs showed spatial distribution heterogeneity in the tumor area, adjacent area, and marginal area, with consistent differences observed across different paraffin blocks. The distribution of iTIL and sTIL also exhibited certain spatial heterogeneity. In the surgical cohort (n = 117), the median Overall Survival (OS) and Disease-Free Survival (DFS) were 33 months and 15 months, respectively. Univariate analyses showed that TLS presence in tumor (TG), TLS-rich regions (TR), TLS ratio in normal regions (NR), tumor-stroma ratio (TSR), and both iTIL and sTIL levels were significantly associated with OS ( Conclusion: This study demonstrates that TLSs and TILs in ESCC are not only prognostically relevant but also spatially heterogeneous. The refined spatial immune profiling across multiple tumor regions improves prognostic stratification and may inform personalized treatment planning in ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaLymphocytes, Tumor-InfiltratingTertiary Lymphoid StructuresAdultAgedFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisTumor Microenvironmentesophageal cancerheterogeneitynrN stageprognosis their heterogeneity in esophageal squamous univariate analysis revealed that T stagetertiary lymphoid structuresTGTR

Identifiers

PMID40861467
PMCPMC12370767

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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.