Implementation of the Methylome in the Characterization of Solid Tumors
AMethiST
1 other identifier
observational
180
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2024
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 21, 2024
CompletedFirst Submitted
Initial submission to the registry
November 25, 2025
CompletedFirst Posted
Study publicly available on registry
December 5, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
December 18, 2025
November 1, 2025
2.6 years
November 25, 2025
December 10, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Identify methylation profiles
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.
from January 2024 to December 2026
Eligibility Criteria
The study population will include patients aged 18 years or older who have been diagnosed with adult gliomas, malignant thyroid neoplasms, or endometrial carcinomas. The patient selection period will run from January 2021 to December 2023. The operational unit responsible for patient selection will be the Intercompany Laboratory of Molecular Pathology of Solid Tumors - IRCCS - University Hospital of Bologna - Policlinico S. Orsola. The study will be retrospective and will be based on material already collected from normal clinical practice.
You may qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
IRCCS Azienda Ospedaliero Univesitaria di Bologna
Bologna, BO, 40138, Italy
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Prof.
Study Record Dates
First Submitted
November 25, 2025
First Posted
December 5, 2025
Study Start
May 21, 2024
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2026
Last Updated
December 18, 2025
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will not share