Clinical trial · Observational
Implementation of the Methylome in the Characterization of Solid Tumors
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study aims to investigate the functional consequences of specific methylation changes and to examine the clinical implications of these alterations. Methylation analysis is a powerful tool for understanding the molecular mechanisms of brain tumors and other solid tumors and can help identify new diagnostic and therapeutic targets. By analyzing DNA methylation patterns in tumor tissue, it is possible to identify genes that are silenced or activated by methylation. This information can be used to develop new biomarkers for early diagnosis and to identify new therapeutic targets that can be used to reverse methylation-mediated gene silencing.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Solid Tumor Cancer | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Identify methylation profiles
- timeFrame
- from January 2024 to December 2026
- description
- The primary objective of this project is to perform a comprehensive analysis of methylation in glial tumors, endometrial carcinomas, and endocrine neoplasms, with the overall goal of improving their classification and translating the data obtained into clinical practice. Specifically, this project aims to: 1. Characterize DNA methylation patterns in the solid tumors under investigation: this research aims to clarify the specific DNA methylation profiles associated with different types of solid tumors, allowing the identification of unique epigenetic signatures that may contribute to tumor classification; 2. Develop robust predictive models for the classification of the tumors studied; 3. Validate classification models using clinical data; 4. Assess the relevance of methylation-based tumor classification to determine the clinical utility of classification models; 5. Developing an easy-to-use clinical implementation framework.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Confirmed diagnosis of one of the following types of cancer: gliomas, malignant thyroid neoplasms, or endometrial carcinomas (according to the WHO Nomenclature) * Availability of adequate material for analysis at the laboratory, specifically availability of at least 3 sections of 10 µm of FFPE Exclusion Criteria: * no
References
Publications (0)
Data not yet available