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Accurate diagnosis of pediatric diffuse low-grade glioma based on DNA methylation characteristics combined with machine learning algorithms

Accurate diagnosis of pediatric diffuse low-grade glioma based on DNA methylation characteristics combined with machine learning algorithms

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400095044
Enrollment
Unknown
Registered
2024-12-31
Start date
2025-01-01
Completion date
Unknown
Last updated
2025-01-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

paediatric diffuse low-grade glioma

Interventions

Gold Standard:Clinical features + histological morphology + immunohistochemical staining + central nervous system NGS (DNA and/or RNA) panel detection
Index test:Genome-wide DNA methylation 935K microarray detection and cluster analysis.

Sponsors

The First Affiliated Hospital of Army Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 40 Years

Inclusion criteria

Inclusion criteria: 1.Regardless of gender, under the age of 40; 2.The pathological tissue morphology of the biopsy after surgery is consistent with diffuse low-grade glioma; 3.Able to provide sufficient samples (20 10 µm thick paraffin samples); 4.Complete clinical background information, including basic information of subjects (gender, age, etc.), clinical information, imaging data, HE electronic sections, etc. 5.Voluntarily participate in this diagnostic test and sign the informed consent form;

Exclusion criteria

Exclusion criteria: 1.Patients who have received chemotherapy or radiotherapy or targeted drug therapy before surgery; 2.The morphology of the postoperative biopsy tissue showed localized glioma or diffuse high-grade glioma; 3.Samples whose case information is incomplete; 4.Sample collection and storage of samples that do not meet the requirements;

Design outcomes

Primary

MeasureTime frame
DNA methylation diagnostic results;Sensitivity;Specificity;

Secondary

MeasureTime frame
The area under the AUC curve, AUC;

Countries

China

Contacts

Public ContactXiaohong Yao

The First Affiliated Hospital of Army Medical University

yxh15@163.com+86 15923566825

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026