ReviewTheranostics2025
Dissecting Tertiary Lymphoid Structures in Cancer: Maturation, Localization and Density.
Review in Theranostics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Mechanisms of systemic immune modulation in tumor development: Interactions across lymph nodes, bone marrow, and blood.Cancer metastasis reviews · 2026Review
- Review
- Spatially organized regulated cell death-immune coupling in solid tumors: integrating spatial omics with actionable regulated cell death biology.Molecular cancer · 2026Review
- Beyond TLS Presence: A Functional Framework Integrating Maturity, Location, and Immune Context.Cancers · 2026Review
- Association of CCL21Cancer immunology, immunotherapy : CII · 2026Article
- Tertiary lymphoid structure topotypes in intrahepatic cholangiocarcinoma: spatial immunity, checkpoint-response associations, and therapeutic reprogramming.Frontiers in immunology · 2026Review
- Tertiary lymphoid structures in neoadjuvant and perioperative cancer immunotherapy: a review and proposed framework for biomarker interpretation and validation.Frontiers in immunology · 2026Review
- Spatial and maturational characterisation of tertiary lymphoid structures predicts immunotherapy response in extensive-stage small cell lung cancer.Clinical & translational immunology · 2026Article
- Tertiary lymphoid structures in genitourinary cancers: a comprehensive review.Frontiers in oncology · 2026Review
- Necro-mosaic: a lesion-aware framework for testing programmed cell-death-associated mechanisms in tuberculosis.Frontiers in immunology · 2026Review
- Artificial Intelligence in Histopathological Analysis for Predicting Immunotherapy Response in Cutaneous Melanoma.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tertiary lymphoid structures (TLSs) refer to ectopic lymphoid aggregates that form in non-lymphoid tissues at sites of chronic inflammation including cancers. TLSs have been recognized as significant predictors of the efficacy of immune checkpoint blockade (ICB) therapies and have the potential to elicit robust anti-tumor immune response. However, recent studies have revealed substantial heterogeneity in TLSs across different individuals and cancer types, which directly impacts the effectiveness of anti-tumor immunity. Concretely, the maturation status, localization, and density of TLSs profoundly influence the dynamic interactions among immune cells within these structures, potentially leading to adverse effects. This review provides an in-depth exploration of how the heterogeneity of TLSs influences cellular composition and immune dynamics, with the objective of influencing the efficacy of ICB therapies and modulating prognostic prediction accuracy. Additionally, the potential of combining TLSs with other biomarkers for predicting anti-tumor immunity outcomes is further investigated, alongside the introduction of advanced technologies for evaluating TLS heterogeneity. Collectively, these analyses aim to advance the understanding of TLS heterogeneity and facilitate its translation into clinical and translational medicine applications.
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Registered trials
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.