ArticleScientific reports2021
The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- The Osteosarcoma Tumor Microenvironment: From Cellular Interactions to Advanced Preclinical Models.Cancers · 2026Review
- Review
- Tumor microenvironment in osteosarcoma: From cellular mechanism to clinical therapy.Genes & diseases · 2025Review
- The Efficacy and Safety of Pegylated Liposomal Doxorubicin-Based Neoadjuvant Chemotherapy in Children With Osteosarcoma: A Retrospective Real-World Study.Cancer innovation · 2025Article
- The role of neutrophils in osteosarcoma: insights from laboratory to clinic.Frontiers in immunology · 2024Review
- Decoding the Impact of Tumor Microenvironment in Osteosarcoma Progression and Metastasis.Cancers · 2023Review
- A validation study for the utility of serum microRNA as a diagnostic and prognostic marker in patients with osteosarcoma.Oncology letters · 2023Article
- Osteoclasts in Osteosarcoma: Mechanisms, Interactions, and Therapeutic Prospects.Cancer management and research · 2023Review
- The interaction between osteosarcoma and other cells in the bone microenvironment: From mechanism to clinical applications.Frontiers in cell and developmental biology · 2023Review
- Osteosarcoma and Metastasis Associated Bone Degradation-A Tale of Osteoclast and Malignant Cell Cooperativity.International journal of molecular sciences · 2021Review
Corrections and comments
- Erratum issued
Authors and funding
15 authors at 1 institution in 1 country.
Funding
Abstract
Osteosarcoma is the most common primary malignant bone tumor, and its standard treatment is a combination of surgery and chemotherapy. A poor response to chemotherapy causes unfavorable oncological outcomes. We investigated the correlation between osteoclast differentiation in biopsy specimens and the efficacy of neoadjuvant chemotherapy in resected specimens. Forty-nine patients who underwent neoadjuvant chemotherapy and subsequent surgical treatment at our institution between 1999 and 2018 were enrolled. Using medical records, we investigated the age, sex, tumor size, location, subtype, staging, chemotherapy agents (doxorubicin, cisplatin, ifosfamide, and methotrexate), number of neoadjuvant chemotherapy courses, number of osteoclasts in biopsy specimens, and efficacy of neoadjuvant chemotherapy according to the Rosen and Huvos classification (Grade I-IV) in resected specimens. Univariate and multivariate analyses were performed to identify factors predictive of a good response in resected specimens after neoadjuvant chemotherapy. A good response (Grade III/IV) was detected in 25, while a poor response (Grade I/II) was detected in 24. According to the multivariate analysis, ≥ 46 years old (odds ratio [OR], 0.05; 95% confidence interval [CI], 0.01-0.45; p < 0.01) and ≥ 5 mature osteoclasts in a biopsy specimen (OR, 36.9; 95% CI, 6.03-225; p < 0.01) were significantly associated with the neoadjuvant chemotherapy efficacy. The accuracy for predicting a good response to chemotherapy based on ≥ 5 osteoclasts in a biopsy specimen in patients < 46 years old was 85%. The number of mature osteoclasts in biopsy specimens is a simple factor for predicting the efficacy of chemotherapy before treatment, although further studies will be required to determine the underlying mechanism.
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