Evidence map›Paper›PMID 42898662›Full record

ReviewFrontiers in immunology2026

From density to spatial function: spatial multi-omics, composite biomarker design, and therapeutic engineering of tertiary lymphoid structures in solid tumors.

Xuchen Wang, Lin Lin

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

2 authors.

Xuchen WangThe Sixth Clinical Medical College of Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, China.
Lin LinDepartment of Oncology, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tertiary lymphoid structures (TLSs) have emerged as clinically relevant immune niches associated with improved survival and enhanced response to immune checkpoint inhibitors across multiple solid tumors. However, translational evaluation remains dominated by density-based scoring, which inadequately captures the functional heterogeneity of histologically similar lymphoid aggregates. This review synthesizes recent advances in spatial biology that support a shift from counting TLSs to interpreting them as spatially organized immune microenvironmental units embedded within local tumor ecosystems. Main body: Evidence from spatial transcriptomics, multiplexed imaging, single-cell profiling, computational pathology, and spatial-proteomic approaches converges on four coupled requirements for productive TLS function: stromal licensing through lymphotoxin-dependent chemokine circuits, vascular competence mediated by specialized high endothelial venules, helper T-cell programs that bridge follicular and cytotoxic immunity, and a permissive metabolic context that enables maturation. Spatial studies further show that regulatory infiltration, suppressive plasma-cell programs, and metabolic disruption can decouple structural presence from effective antitumor immunity. Across tumor types, these insights indicate that biomarker performance improves when TLS density is integrated with maturity, anatomical location, HEV coupling, immune composition, and treatment context rather than used as a standalone metric. We further discuss how spatial analyses reveal actionable pathways for inducing or reprogramming TLSs and outline a staged, module-matched composite biomarker workflow combining digital pathology, targeted multiplexed imaging, and focused molecular or metabolic augmentation. Conclusions: TLSs should be regarded as spatially organized, functionally heterogeneous immune microenvironmental units rather than biologically equivalent lymphoid aggregates. A spatial-functional framework helps explain productive, arrested, and suppressive TLS states, provides a basis for next-generation composite biomarkers, and supports module-matched therapeutic strategies tailored to the stromal, vascular, helper-cell, or metabolic bottleneck limiting TLS function in individual tumors. The immediate next step is prospective validation of a minimal TLS panel across defined treatment contexts.

Indexed as

Biomarkers, TumorNeoplasmsTertiary Lymphoid StructuresAnimalsBiomarkersHumansMultiomicsProteomicsSpatial TranscriptomicsTumor MicroenvironmentBiomarkersBiomarkers, TumorB cellscomposite biomarkershigh endothelial venulesimmunotherapymultiplexed imagingspatial transcriptomicstertiary lymphoid structurestumor microenvironment

Identifiers

PMID42898662
PMCPMC13678460

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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.