Evidence map›Paper›PMID 42865890›Full record

ReviewFrontiers in immunology2026

From TLS architecture to functional immune niches: division of labor among CAFs, HEVs, and antigen-presenting cells in cancer immunotherapy.

Li Xiao, Hongbo Qiu, Honglin Luo

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Li XiaoDepartment of Laboratory Medicine, Zigong First People's Hospital, Zigong, Sichuan, China.
Hongbo QiuDepartment of Oncology, Zigong First People's Hospital, Zigong, Sichuan, China.
Honglin LuoDepartment of Laboratory Medicine, Zigong First People's Hospital, Zigong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tertiary lymphoid structures (TLSs) are associated with antitumor immunity and have prompted efforts to induce lymphoid organization within tumors. The central interpretive problem is whether the resulting tissue changes contribute to treatment benefit or accompany effects mediated by other cells. Building on established TLS biology, this Review compares the cellular targets, functional measurements, and antitumor outcomes of stromal, endothelial, and antigen-presenting-cell interventions, with particular attention to cancer-associated fibroblasts (CAFs). Across experimental systems, defined CAF states support chemokine production and lymphocyte recruitment, whereas vascular entry and antigen-dependent T-cell responses are demonstrated through distinct interventions. The synthesis distinguishes a stromal contribution to immune organization from evidence that this contribution is required for tumor control, preserving the model and anatomical setting in which each relationship was tested. Mechanistic support comes mainly from murine and engineered systems, while human studies chiefly establish spatial relationships and clinical associations. For therapies that remodel TLS-associated niches, this comparison identifies the induced functions whose contribution to treatment benefit needs to be tested before tissue changes are used to guide clinical treatment.

Indexed as

Antigen-Presenting CellsCancer-Associated FibroblastsImmunotherapyNeoplasmsTertiary Lymphoid StructuresTumor MicroenvironmentAnimalsHumanscancer-associated fibroblastcancer immunotherapyfibroblastic reticular cellhigh endothelial venulelymphotoxin beta receptortertiary lymphoid structure

Identifiers

PMID42865890
PMCPMC13655546

What OpenQuestion holds

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Registered trials

None linked

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.