Evidence map›Paper›PMID 42459642›Full record

ReviewFrontiers in immunology2026

Spatially resolved immune niches in thyroid cancer: from hot-cold-excluded ecosystems to precision immunotherapy.

Guizhang Hou, Tianshu Gao

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.

Guizhang HouThe First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Tianshu GaoDepartment of Endocrinology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the overall prognosis of most thyroid cancers is relatively good, the benefits of immunotherapy in advanced, dedifferentiated, and some special subtypes still show significant heterogeneity. The existing evaluation frameworks based on PD-L1, tumor mutational burden, or conventional transcriptomic signals are insufficient to explain the complex and variable immune response patterns among different patients and within the same tumor. In recent years, single-cell sequencing, spatial transcriptomics, and related spatial multi-omics studies have shown that the immune microenvironment of thyroid cancer is not a homogeneous background but is composed of multiple local ecological niches with clear spatial organizational characteristics. These ecological niches have significant differences in cell composition, functional state, and interaction mode. The current evidence suggests that the regions rich in B cells and tertiary lymphoid structures in papillary thyroid carcinoma are often associated with relatively indolent clinical behaviors; undifferentiated thyroid carcinoma more frequently presents as an inhibitory spatial pattern characterized by macrophages, cancer-associated fibroblasts, and immune exclusion boundaries; and the neural-immune crosstalk in medullary thyroid carcinoma further indicates that some "cold" immune phenotypes may be actively shaped by neuroendocrine signals. From the perspective of spatial immune niches, this article re-examines the biological basis and translational significance of hot, cold, and excluded immune patterns in thyroid cancer, and discusses their potential implications for immune classification, biopsy strategies, and the optimization of precise immunotherapy.

Indexed as

ImmunotherapyThyroid NeoplasmsTumor MicroenvironmentAnimalsHumansPrecision MedicineSpatial Transcriptomicsimmunotherapyspatial transcriptomicstertiary lymphoid structuresthyroid cancertumor immune microenvironment

Identifiers

PMID42459642
PMCPMC13369454

What Socratic 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 Socratic graph.