Evidence map›Paper›PMID 42730981›Full record

ReviewImmunologic research2026

The spatial architecture of tumor immunity: Emerging predictive biomarkers across cancer.

Xiaoying Li, Ruizhen Li, Huanhuan Wang, Pei Zhang, Dan Cao, Fan Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 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

6 authors.

Xiaoying Li *Health and Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
Ruizhen Li *Division of Abdominal Tumor, Department of Medical Oncology, Cancer Center, Laboratory of Abdominal Tumor Immunology and Microenvironment, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610017, China.
Huanhuan WangDivision of Abdominal Tumor, Department of Medical Oncology, Cancer Center, Laboratory of Abdominal Tumor Immunology and Microenvironment, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610017, China.
Pei ZhangDivision of Abdominal Tumor, Department of Medical Oncology, Cancer Center, Laboratory of Abdominal Tumor Immunology and Microenvironment, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610017, China.
Dan CaoDivision of Abdominal Tumor, Department of Medical Oncology, Cancer Center, Laboratory of Abdominal Tumor Immunology and Microenvironment, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610017, China. caodan@scu.edu.cn.ORCID https://orcid.org/0000-0003-2755-7258
Fan ZhangHealth and Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China. zhangfan111@wchscu.cn.

Funding

Natural Science Foundation of Sichuan Province 2026NSFSC1939
6 · The paper itself

Abstract

Tumor immunity is shaped not only by the cellular composition of the tumor microenvironment (TME), but also by its spatial architecture. Increasing evidence shows that immune function cannot be inferred from cell abundance alone, because the positioning and coordination of immune and stromal cells determine whether local immunity is activated, excluded, or suppressed. Advances in multiplex imaging, spatial proteomics, spatial transcriptomics, and AI-assisted tissue analysis now enable high-resolution mapping of these spatial states across clinically relevant scales. These approaches reveal that tumors are organized as recurrent microarchitectures that can function either as immune engines or as suppressive brakes. Immune-supportive structures, including mature tertiary lymphoid structures, dendritic cell-centered immune triads, high endothelial venule-associated recruitment corridors, and effector-tumor interfaces, promote antigen presentation, lymphocyte recruitment, and cytotoxic engagement. In contrast, exclusionary and suppressive architectures, such as CAF-mediated stromal barriers, SPP1 + macrophage-CAF niches, stalled T-cell zones, Treg-enriched suppressive niches, and NLRP3 + macrophage-rich regions, restrict infiltration and sustain immune dysfunction. Across cancer types, such spatial readouts are emerging as robust biomarkers. In this Review, we summarize recent progress in spatial tumor immunology and propose a conceptual framework for interpreting tumor immunity from composition to cellular neighborhoods. We further discuss how these spatial architectures shape tumor heterogeneity, therapeutic response, and resistance, and how they may be translated into actionable biomarkers for patient stratification, treatment monitoring, and next-generation precision immunotherapy.

Indexed as

Biomarkers, TumorNeoplasmsTumor MicroenvironmentAnimalsHumansSpatial TranscriptomicsBiomarkers, TumorImmune exclusionPredictive biomarkersSpatial biologyTertiary lymphoid structuresTumor microenvironment

Identifiers

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.