Evidence map›Paper›PMID 39976829›Full record

ArticleDiscover oncology2025

Analysis of clinicopathological characteristics in rhabdomyosarcoma and identification of risk factors for metastasis to the lung, bone, liver, and brain: a population-based cohort study.

QiaoRong Hao, QiuTing Dai, XueLiang Ding, XueNong Gao, You Zhou

Abstract read
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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

QiaoRong Hao *Department of Nursing, Affiliated Renhe Hospital of China Three Gorges University, Yichang, 443000, Hubei, China.
QiuTing Dai *Department of Cardiology, Affiliated Renhe Hospital of China Three Gorges University, Yichang, 443000, Hubei, China.
XueLiang Ding *Department of Clinical Laboratory, Affiliated Renhe Hospital of China Three Gorges University, Yichang, 443000, Hubei, China.
XueNong GaoTeaching Office, Affiliated Renhe Hospital of China Three Gorges University, 410 Yiling Avenue, Wujiagang District, Yichang, 443000, Hubei, China. xuenonggaogxn@126.com.
You ZhouDepartment of Orthopedics, Affiliated Renhe Hospital of China Three Gorges University, 410 Yiling Avenue, Wujiagang District, Yichang, 443000, Hubei, China. zhouyouzh@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn light of the incompletely defined metastatic patterns inherent to rhabdomyosarcoma (RMS), our objective was to analyze the clinicopathological attributes of various metastatic sites in patients afflicted with RMS. Additionally, we sought to identify population-level risk factors that contribute to metastasis in patients.

methodsUtilizing data from the Surveillance, Epidemiology, and End Results (SEER) database spanning from 2000 to 2017, our study included a cohort of 1,300 patients diagnosed with RMS, each presenting with specific instances of metastasis. Statistical comparisons of categorical variables between groups were conducted using the chi-squared test or Fisher's exact test. Survival curves were constructed employing the Kaplan-Meier method and their comparative analysis was conducted using the log-rank test. Identification of the risk factors associated with site-specific metastasis in patients diagnosed with RMS was undertaken through the application of multivariate logistic regression analysis.

resultsThe observed incidence rates of metastasis to the lung, bone, liver, and brain among patients diagnosed with RMS were 13.1, 12.3, 2.5, and 1.2% respectively. The presence of lung, bone, liver, and brain metastases in patients with RMS was associated with a statistically significant reduction in cancer-specific survival. Factors indicative of increased risk for the development of lung metastasis in patients with RMS include male gender (in comparison to female), larger tumor volume, and tumor location in unfavorable sites (as compared to favorable sites). Risk factors for the occurrence of bone metastasis were male (as compared to female), larger tumor volume, and alveolar RMS (as compared to embryonal RMS). The median CSS for patients diagnosed with RMS and presenting with lung, bone, liver, and brain metastases were 15, 19, 5, and 8 months, respectively.

conclusionThrough an analysis of site-specific metastasis in patients diagnosed with RMS, we identified risk factors associated with lung and bone metastasis. These findings are of considerable significance for clinicians, are of considerable significance during the pre-treatment evaluation phase. The application of these findings has the potential to extend the survival duration of patients with RMS.

Indexed as

PatternRhabdomyosarcomaRisk factorsSEERSite-specific metastasis

Identifiers

PMID39976829
PMCPMC11842641

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