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Cited by 312

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Osteosarcoma: a review of current and future therapeutic approaches

Open access
Zhao, Xin, Wu, Qirui, Gong, Xiuqing, Liu, Jinfeng, Ma, Yujie·2021·BioMedical Engineering OnLine

Abstract

Osteosarcoma (OS) is the most common primary bone malignancy that affects children and young adults. OS is characterized by a high degree of malignancy, strong invasiveness, rapid disease progression, and extremely high mortality rate; it is considered as a serious threat to the human health globally. The incidence of OS is common in the metaphysis of long tubular bones, but rare in the spine, pelvis, and sacrum areas; moreover, majority of the OS patients present with only a single lesion. OS has a bimodal distribution pattern, that is, its incidence peaks in the second decade of life and in late adulthood. We examine historical and current literature to present a succinct review of OS. In this review, we have discussed the types, clinical diagnosis, and modern and future treatment methods of OS. The purpose of this article is to inspire new ideas to develop more effective therapeutic options.

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Crossref · 10.1186/s12938-021-00860-0

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Metadata

Authors
Zhao, X., Wu, Q., Gong, X., Liu, J., & Ma, Y.
Venue
BioMedical Engineering OnLine
Published
2021-03-02
Volume
20
Issue
1
Pages
24-24
ISSN
1475-925X (ISSN-L)
OpenAlex
W3133782202
Cited by
312
References
9
FWCI
29.79
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Osteosarcoma: a review of current and future therapeutic approaches. https://app.cochat.ai/papers/10.1186/s12938-021-00860-0
The paper
Zhao, X., Wu, Q., Gong, X., Liu, J., & Ma, Y. (2021). Osteosarcoma: a review of current and future therapeutic approaches. BioMedical Engineering OnLine. https://doi.org/10.1186/s12938-021-00860-0

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.