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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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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820005/
https://www.ncbi.nlm.nih.gov/pubmed/33479294
http://dx.doi.org/10.1038/s41598-020-80504-w
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author 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
author_facet 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
author_sort Araki, Yoshihiro
collection PubMed
description 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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spelling pubmed-78200052021-01-22 The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma 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 Sci Rep Article 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. Nature Publishing Group UK 2021-01-21 /pmc/articles/PMC7820005/ /pubmed/33479294 http://dx.doi.org/10.1038/s41598-020-80504-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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
The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma
title The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma
title_full The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma
title_fullStr The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma
title_full_unstemmed The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma
title_short The number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma
title_sort number of osteoclasts in a biopsy specimen can predict the efficacy of neoadjuvant chemotherapy for primary osteosarcoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820005/
https://www.ncbi.nlm.nih.gov/pubmed/33479294
http://dx.doi.org/10.1038/s41598-020-80504-w
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