Evidence map›Paper›PMID 40414832›Full record

ReviewCancer cell international2025

Transforming bone cancer treatment: a comprehensive review of green-synthesized metal nanoparticles.

Linying Xia, Chao Zhou, Xiankun Liu, Yijun Yu, Qiong Xie, Hongming Lin, Xiaochun Xiong, Songou Zhang, Wenqing Liang, Haiyan Shao

Abstract readReview
In one paragraph

Review in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Linying Xia *Department of Orthopedics, Zhoushan Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, 355 Xinqiao Road, Dinghai District, ZhoushanZhejiang, 316000, China.
Chao Zhou *Department of Orthopedics, Daishan Guanghua Hospital, Zhoushan, 316000, China.
Xiankun Liu *Medical Research Center, Zhoushan Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, Zhoushan, 316000, China.
Yijun YuDepartment of Orthopedics, Zhoushan Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, 355 Xinqiao Road, Dinghai District, ZhoushanZhejiang, 316000, China.
Qiong XieDepartment of Orthopedics, Zhoushan Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, 355 Xinqiao Road, Dinghai District, ZhoushanZhejiang, 316000, China.
Hongming LinDepartment of Orthopedics, Zhoushan Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, 355 Xinqiao Road, Dinghai District, ZhoushanZhejiang, 316000, China.
Xiaochun XiongDepartment of Orthopedics, Zhoushan Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, 355 Xinqiao Road, Dinghai District, ZhoushanZhejiang, 316000, China.
Songou ZhangSchool of Medicine, Ningbo University, Ningbo, 315000, China.
Wenqing LiangDepartment of Orthopedics, Zhoushan Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, 355 Xinqiao Road, Dinghai District, ZhoushanZhejiang, 316000, China. liangwq@usx.edu.cn.ORCID http://orcid.org/0000-0001-9770-882X
Haiyan ShaoMedical Research Center, Zhoushan Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, Zhoushan, 316000, China. 13567678286@163.com.

Funding

Medical and Health Research Project of Zhejiang Province 2025KY1804 to LYXMedical and Health Research Project of Zhejiang Province 2025KY1807 to CZResearch Fund Projects of The Affiliated Hospital of Zhejiang Chinese Medicine University 2024FSYYZY34 to HMLResearch Fund Projects of The Affiliated Hospital of Zhejiang Chinese Medicine University 2024FSYYZZ14 to YJYScience and Technology Project of Zhoushan 2024C31018 to XCXScience and Technology Project of Zhoushan 2024C31020 to HMLTraditional Chinese Medicine Science and Technology Projects of Zhejiang Province 2025ZR218 to LYXZhejiang Provincial Natural Science Foundation of China QN25H040001 to LYX
6 · The paper itself

Abstract

Osteosarcoma (OS), chondrosarcoma (CHS), and Ewing sarcoma (EWS) are the main types of bone cancer (BC). OS is the most common BC in this group. It is most common in children and older people, especially in their long bones. Treatments for bone sarcomas and tumors have slowly improved, so researchers began looking into additional and alternative approaches to standard therapies. Therefore, the ability to precisely manipulate metallic nanoparticles (MNPs)' form, size, charge, and surface modification makes them very useful in treating bone cancer. However, due to the biocompatibility and possible toxicity of MNPs, MNP has limits for clinical use in treating BC. Therefore, the green synthesis of MNPs is achieved by bio-reducing metallic ions, which results in the creation of NPs, using living entities or their extracts. Green MNPs derived from natural sources provide a secure and environmentally responsible solution. Benefits of green MNPs include tailored medicine delivery and biocompatibility. Green MNPs reduce damage to healthy cells while improving the targeting of bone cancer cells. In this study, we reviewed how different MNPs synthesized using green methods can help treat various types of BC. This work reviewed the usual way of making MNPs for treating BC, the problems with this standard way of making MNPs, and the benefits and possible future uses of green synthetic MNPs for treating BC.

Indexed as

Bone cancerChondrosarcomaEwing sarcomaGreen synthesisMetallic nanoparticlesOsteosarcomaTreatment

Identifiers

PMID40414832
PMCPMC12105286

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.