Evidence map›Paper›PMID 42707561›Full record

ReviewFrontiers in immunology2026

Dynamic immune state transitions and metastatic niche remodelling drive osteosarcoma evolution as a barrier-restricted immune-cold ecosystem.

Jiangyou Shi, Rongchun Chen

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.

Jiangyou ShiDepartment of Spine Surgery, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, China.
Rongchun ChenDepartment of Spine Surgery, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma exhibits limited responsiveness to immune checkpoint blockade, a feature commonly referred to as immune coldness. However, interpreting immune coldness as a fixed tumour trait may underestimate the spatially and temporally dynamic processes that govern immune resistance. Accumulating evidence instead supports an evolutionary ecosystem view, in which tumour-intrinsic defects in immune recognition, lymphocyte exclusion, myeloid predominance, and metastatic niche formation collectively contribute to clinically non-productive immunity, rather than representing discrete or mutually exclusive stages. Single-cell, spatial, clinical, and translational studies further highlight pronounced heterogeneity among primary, treatment-exposed, and metastatic lesions, with particularly distinct immune architectures observed in pulmonary sites. In this context, lung metastases are not merely endpoints of dissemination, but active immune-modulatory niches in which macrophages, granulocytic myeloid-derived suppressor cells, fibroblasts, and spatially restricted lymphocytes jointly shape therapeutic resistance. These observations motivate a shift away from modality-centred therapeutic escalation toward immune state-guided stratification, sequential reprogramming of the tumour ecosystem, and barrier-specific treatment strategies. Separating clinical evidence from patient-derived, translational, and preclinical findings further provides a framework for prioritizing spatial biomarkers, designing adaptive clinical trials, and developing lung-metastasis-focused immunotherapeutic approaches.

Indexed as

Bone NeoplasmsOsteosarcomaTumor MicroenvironmentAnimalsHumansLung NeoplasmsNeoplasm Metastasisimmune-cold tumourimmunotherapymetastatic nichesosteosarcomatumour microenvironment

Identifiers

PMID42707561
PMCPMC13548505

What OpenQuestion 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 OpenQuestion graph.