ClinicalTrials.gov
public full text
Public Domain
Epigenetic Profiling and Liquid Biopsy: Perspectives for Personalized Medicine in Meningioma Patients - MIND
Meningiomas are the most common primary intracranial tumors. Current treatment relies on surgical resection and radiotherapy, but molecular predictors for recurrence are lacking. This study aims to investigate epigenetic features, specifically histone post-translational modifications (PTMs) and DNA methylation, to stratify patients. The study involves a retrospective cohort to define an epigenetic signature and a prospective cohort to validate it in tissues and liquid biopsies (plasma/EVs).
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Evaluation of the Humoral and Tumoral Molecular Alteration Profile of Brain Metastases#863139
- ANILINE INDUCED HISTOLOGICAL ALTERATIONS AND EVALUATION OF SERUM HORMONES IN THYROID GLAND OF MALE ALBINO RATS#638695
- Genetic variations, gene expression, and urinary metabolomic data related to purine and pyrimidine metabolism in Polish controls and patients with nephrolithiasis or patients with bladder cancer#341022
- Scoring System for Thyroid Gland Pathologies#834214
- Multi Institutional Study in Patient Presenting With Hematuria#869371
Record · ID 916084
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive