Evidence map›Paper›PMID 33479294›Full record

ArticleScientific reports2021

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

Yoshihiro Araki, Norio Yamamoto, Katsuhiro Hayashi, Akihiko Takeuchi, Shinji Miwa, Kentaro Igarashi, Takashi Higuchi, Kensaku Abe, Yuta Taniguchi, Hirotaka Yonezawa and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Yoshihiro ArakiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0001-5783-109X
Norio YamamotoDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan. norinori@med.kanazawa-u.ac.jp.ORCID 0000-0002-7250-625X
Katsuhiro HayashiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0001-8665-2154
Akihiko TakeuchiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0002-4071-5620
Shinji MiwaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0002-5962-8287
Kentaro IgarashiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0003-2278-1736
Takashi HiguchiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0002-7489-1657
Kensaku AbeDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0002-7405-9019
Yuta TaniguchiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0002-4322-6566
Hirotaka YonezawaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0003-0713-0396
Sei MorinagaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0003-2961-9432
Yohei AsanoDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0002-8777-6076
Hiroko IkedaDepartment of Pathology, Kanazawa University, Kanazawa, Japan.
Takayuki NojimaDepartment of Pathology, Kanazawa University, Kanazawa, Japan.ORCID 0000-0003-1236-4162
Hiroyuki TsuchiyaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1, Takaramachi, Kanazawa-city, Ishikawa, 920-8641, Japan.ORCID 0000-0003-0730-7921
Kanazawa University · JP

Funding

Grants-in-Aid for Scientific Research (KAKENHI) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) 10800625
6 · The paper itself

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.

Indexed as

AdolescentAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBiopsyChildChild, PreschoolCisplatinDoxorubicinFemaleHumansIfosfamideMaleMethotrexateMiddle AgedNeoadjuvant TherapyCisplatinDoxorubicinIfosfamideMethotrexate

Identifiers

PMID33479294
PMCPMC7820005
OpenAlexW3121267374

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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 OpenQuestion graph.