The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma

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 t...

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Veröffentlicht in:Scientific reports 2021-01, Vol.11 (1), p.1989-1989, Article 1989
Hauptverfasser: Araki, Yoshihiro, Yamamoto, Norio, Hayashi, Katsuhiro, Takeuchi, Akihiko, Miwa, Shinji, Igarashi, Kentaro, Higuchi, Takashi, Abe, Kensaku, Taniguchi, Yuta, Yonezawa, Hirotaka, Morinaga, Sei, Asano, Yohei, Ikeda, Hiroko, Nojima, Takayuki, Tsuchiya, Hiroyuki
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Sprache:eng
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Zusammenfassung: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 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-80504-w