Evidence map›Paper›PMID 41727341›Full record

ArticleNeuro-oncology advances

Development of an integrated risk stratification model for metastatic medulloblastoma (M2/3) using clinical, radiologic, and molecular variables.

Wen-Tao Zhou, Tao Wu, Yu-Fei Lu, Shu-Xu Du, Han-Guang Zhao, Si-Kang Ren, Chi Zhao, Yong-Ji Tian, Fu Zhao

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Article in Neuro-oncology advances. 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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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wen-Tao ZhouDepartment of Cell Biology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Tao WuNeurosurgical Department, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yu-Fei LuThe Eighth Clinical School, Fuxing Hospital, Capital Medical University, Beijing, China.
Shu-Xu DuPediatric Department, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Han-Guang ZhaoDepartment of Pediatric Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Si-Kang RenDepartment of Pediatric Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Chi ZhaoDepartment of Neuro-Oncology, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Yong-Ji TianDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Fu ZhaoDepartment of Pediatric Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-5286-5650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Approximately 20% of medulloblastoma (MB) patients are diagnosed with metastatic disease and typically exhibit extremely poor clinical outcomes. This study aimed to investigate potential prognostic factors affecting the survival of patients with metastatic MB. Methods: Patients with initial diagnosis of metastatic MB (M2/3) at Beijing Tiantan Hospital were included. Radiological characteristics were discerned through a retrospective review. Overall survival (OS) and event-free survival (EFS) were calculated using the Kaplan-Meier analysis. Multivariable Cox proportional hazards model was employed to identify potential prognostic factors. Results: This study included 115 patients with M2/3 MB. Group 4 MBs accounted for 59.1% of cases (68/115). Kaplan-Meier analysis indicated that the 5-year EFS and OS rates were 56.1% and 68.7%, respectively. Patients with metastatic Group 3 MB and spinal metastases exhibited dismal outcomes. Postoperative "sandwich" strategy significantly prolonged 5-year EFS and OS rates. Multivariate COX regression models demonstrated that molecular subgrouping, metastatic patterns, and "sandwich" strategy were independent prognostic predictors for both EFS and OS in patients with M2/3 MB. Conclusion: Our study provides a novel risk stratification model for metastatic medulloblastoma that could potentially facilitate the development of individualized therapeutic strategies for the very high-risk patient population.

Indexed as

adjuvant therapymedulloblastomametastasismolecular subgroupprognostic factors

Identifiers

PMID41727341
PMCPMC12924635

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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.