Evidence map›Paper›PMID 41822119›Full record

ReviewRegenerative biomaterials2026

Recent advances in biomaterials for osteosarcoma treatment.

Jian Han, Mingna Huo, Chenxu Jia, Bolun Zhang, Fengping Zhang, Qingtao Meng

Abstract readReview
In one paragraph

Review in Regenerative biomaterials, 2026. 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.

Jian HanDepartment of Orthopedics, Dalian No.3 People's Hospital, Dalian, Liaoning 116091, China.
Mingna HuoDepartment of Orthopedics, Dalian No.3 People's Hospital, Dalian, Liaoning 116091, China.
Chenxu JiaDepartment of Orthopedics, Dalian No.3 People's Hospital, Dalian, Liaoning 116091, China.
Bolun ZhangDepartment of Orthopedics, Dalian No.3 People's Hospital, Dalian, Liaoning 116091, China.
Fengping ZhangDepartment of Orthopedics, Dalian No.3 People's Hospital, Dalian, Liaoning 116091, China.
Qingtao MengDepartment of Orthopedics, Dalian No.3 People's Hospital, Dalian, Liaoning 116091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is a highly aggressive bone malignancy with poor prognosis due to high metastasis and drug resistance. Conventional treatments often result in systemic toxicity and limited efficacy, highlighting the need for more precise and integrative approaches. Biomaterials with excellent biocompatibility and functional tunability have emerged as promising tools to enhance local therapy and support bone regeneration. This review summarizes recent advances in the application of natural, synthetic and composite biomaterials in four key areas: drug delivery, gene therapy, immunotherapy and post-resection bone repair. To provide a systematic perspective, we compiled and classified 64 representative studies published between 2021 and 2025, comparing biomaterial-based delivery strategies ranging from single-material carriers to multifunctional composite platforms. Particular focus is given to stimuli-responsive systems and scaffolds that integrate antitumor activity with regenerative capacity. By outlining emerging strategies and material platforms, this review offers a concise reference for the rational design of biomaterials addressing the dual challenge of tumor eradication and skeletal reconstruction. Interdisciplinary collaboration will be key to advancing these systems toward clinical application.

Indexed as

biomaterial-based delivery systemsbiomaterialsbone regenerationbone repairosteosarcoma

Identifiers

PMID41822119
PMCPMC12975341

What OpenQuestion holds

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LicenceCC BY
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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.