Evidence map›Paper›PMID 41673770›Full record

ArticleJournal of experimental & clinical cancer research : CR2026

Tertiary lymphoid structures in the era of cancer therapy.

Isaias Hernández-Verdin, Anna Dimberg, Daniela S Thommen, Camilla Engblom, Lucile Vanhersecke, Karina Silina, Tullia C Bruno, Wolf H Fridman, Paola Nisticò, Catherine Sautès-Fridman

Abstract readConference Proceedings
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 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. Review
  2. Review
  3. 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

10 authors.

Isaias Hernández-VerdinCentre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université de Paris, Paris, 75006, France.
Anna DimbergDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, The Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
Daniela S ThommenDivision of Molecular Oncology and Immunology, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Camilla EngblomDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, Science for Life Laboratory, Stockholm and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Lucile VanherseckeDepartement de Biopathologie, Institut Bergonié, Bordeaux, France.
Karina SilinaInstitute of Pharmaceutical Sciences, Swiss Federal Institute of Technology, Zurich, Switzerland.
Tullia C BrunoDepartment of Immunology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Wolf H FridmanCentre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université de Paris, Paris, 75006, France.
Paola NisticòTumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy. paola.nistico@ifo.it.
Catherine Sautès-FridmanCentre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université de Paris, Paris, 75006, France. catherine.fridman@crc.jussieu.fr.

Funding

AIRC IG-30395CAL.HUB.RIA Ministero Salute PNRR-POS T4.EU Innovative Health Initiative IMAGIOKnut and Alice Wallenberg Foundation KAW 2024.0059Knut and Alice Wallenbergs Foundation KAW 2024.0188QRT QRT charity fundSwiss National Science Foundation PR00P3_201656
6 · The paper itself

Abstract

On September 9th, 2025, the 3rd Workshop on Tertiary lymphoid structures (TLS) took place in Utrecht as pre-meeting to CICON2025. Advances in TLS biology, diversity, and clinical significance are rapidly reshaping the field. The studies discussed here reveal the heterogeneity in TLS architecture, cellular composition, functional states, and developmental trajectories, shaped by tumor-specific chemokine gradients. Spatial multi-omics revealed that TLS appearing histologically similar can contain T cells with distinct functional profiles, influencing clinical outcomes independently of conventional immune markers. Efforts toward TLS standardization are gaining attraction through pathology-based algorithms capable of reliably identifying mature TLS across cancer types, supporting reproducible stratification and prediction of immunotherapy response. However, challenges remain in glioblastoma and ovarian cancer, where TLS are rare, anatomically constrained, and strongly influenced by local tissue niches. Experimental models demonstrate that vascular-targeted cytokine delivery can induce TLS formation and promote T cell–dependent tumor control, supporting novel therapeutic avenues. Technological advances, including spatially resolved antigen receptor sequencing, now allow high-resolution mapping of B- and T-cell clonotypes, clonal evolution, and early antigen discovery within TLS. Across cancers, TLS enriched in activated B cells, memory B cells, and plasma cells emerge as key drivers of sustained immune activation. Spatial analyses also reveal interactions between TLS and specific fibroblast or mesenchymal subsets that modulate immunotherapy response. Finally, integrative studies identify tumor-intrinsic metabolic pathways, such as GABA production, that suppress TLS activity and contribute to immunotherapy resistance. Collectively, these findings establish TLS as dynamic, spatially organized immune hubs with broad implications for cancer prognosis and therapy.

Indexed as

ImmunotherapyNeoplasmsTertiary Lymphoid StructuresAnimalsHumansTumor MicroenvironmentHeterogeneityImmunotherapySpatial multi-omicsTertiary lymphoid structuresTumor microenvironment

Identifiers

PMID41673770
PMCPMC12895606

What OpenQuestion holds

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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.