Evidence map›Paper›PMID 42488635›Full record

ReviewFrontiers in immunology2026

Cell-state transitions and microenvironmental remodeling in thyroid cancer progression revealed by single-cell and spatial transcriptomics.

Xin Wang, Deshuang Tao, Jinming Xu, Wensi Liu, Zhiwu Ji, Hairui Zhou, Zhen Wang

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

7 authors.

Xin Wang *Department of General Surgery, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, China.
Deshuang Tao *Department of Epilepsy, Jiamusi Central Hospital, Jiamusi, Heilongjiang, China.
Jinming XuDepartment of General Surgery, Jiamusi Central Hospital, Jiamusi, Heilongjiang, China.
Wensi LiuDepartment of Nephrology, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, China.
Zhiwu JiDepartment of General Surgery, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, China.
Hairui ZhouKey Laboratory of Microecology-immune Regulatory Network and Related Diseases School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, China.
Zhen WangDepartment of Nephrology, First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer ranges from indolent differentiated tumors to metastatic, radioiodine-refractory and anaplastic disease. Conventional histology and molecular classification define major risk groups but do not resolve the cell states and spatial heterogeneity that accompany progression. This review integrates recent single-cell RNA sequencing, spatial transcriptomics and validation studies across localized papillary thyroid carcinoma (PTC), metastatic or radioiodine-refractory differentiated thyroid cancer (DTC), poorly differentiated thyroid carcinoma (PDTC) and anaplastic thyroid carcinoma (ATC). Current evidence indicates that progression is accompanied by changes in malignant epithelial states, stromal regions and immune patterns. Malignant epithelial cells shift from follicular-like programs toward partial EMT-like, dedifferentiation-like and anaplastic states; stromal changes include invasive borders, stiff peritumoral matrix and CAF/ECM-rich poorly differentiated regions; and immune patterns differ between progressive PTC, indolent lymphoid-organized tumors and myeloid-rich ATC. Functionally supported examples, including POSTN-IL-4 signaling, CCL20/CXCL5 macrophage-tumor reciprocal signals and SIGLEC15-associated checkpoint signaling, show how these technologies can generate therapeutic hypotheses. Yet most datasets are cross-sectional, and many ligand-receptor interactions remain computational candidates. We use the available evidence to relate epithelial plasticity, genomic context, stromal regions, immune remodeling and candidate cell-cell interactions across disease states, while separating observed associations from established stepwise tumor evolution. This synthesis highlights mechanisms and therapeutic hypotheses that require functional and clinical validation.

Indexed as

Thyroid NeoplasmsTumor MicroenvironmentAnimalsDisease ProgressionEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHumansSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsTranscriptomeanaplastic thyroid carcinomapapillary thyroid carcinomasingle-cell RNA sequencingspatial transcriptomicsthyroid cancertumor microenvironment

Identifiers

PMID42488635
PMCPMC13388755

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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.