Evidence map›Paper›PMID 41423579›Full record

ReviewDiscover oncology2025

Targeting the osteosarcoma immune microenvironment for improved immunotherapy and translational applications.

Jinlin Cai, Shijie Qiu, Biao Sun, Jianbin Ge, Zhe Yu, Chao Wang

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Jinlin CaiDepartment of Orthopedics, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China.
Shijie QiuDepartment of Orthopedics, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China.
Biao SunDepartment of Orthopedics, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China.
Jianbin GeDepartment of Orthopedics, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China.
Zhe YuDepartment of Orthopedics, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China.
Chao WangDepartment of Orthopedics, Dongyang Hospital of Traditional Chinese Medicine, Dongyang, China. 16682443@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. Despite advances in surgery and chemotherapy, outcomes remain poor in metastatic cases, with five-year survival rates below 30%. This stagnation highlights the urgent need for novel therapeutic strategies. Growing evidence indicates that the tumor immune microenvironment (TIME) plays a central role in OS progression, metastasis, and resistance to treatment. Immunosuppressive cells, including tumor-associated macrophages (TAMs), myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs), dominate the TIME, while cytotoxic T cells often exhibit exhaustion. Stromal barriers, hypoxia, and metabolic constraints further impair immune activity. Recent single-cell and spatial transcriptomic studies reveal that immune and stromal architectures strongly correlate with prognosis and therapeutic response. These features contribute to the limited efficacy of current immunotherapies, including immune checkpoint inhibitors (ICIs) and CAR-T cells. In this review, we summarize the cellular, molecular, and spatial components of the OS TIME, critically evaluate current immunotherapeutic strategies, and highlight emerging translational approaches aimed at overcoming immune resistance and improving clinical outcomes.

Indexed as

Immune checkpoint inhibitorsImmunotherapy.OsteosarcomaTumor-associated macrophagesTumor immune microenvironment

Identifiers

PMID41423579
PMCPMC12834879

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.