Implementation of the Methylome in the Characterization of Solid Tumors (AMethiST)

Scientific Institute for Research Hospitalization and Healthcare (IRCCS)

Status: Enrolling

Conditions: Solid Tumor Cancer

Study type: Observational

Funder types: Other

Identifiers

NCT07268066

RC-2024-2790626 (Other Grant/Funding Number)

Details and patient eligibility

About

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.

Full description

A total of 180 cases will be collected: 60 central nervous system tumors, 60 endometrial carcinomas, and 60 endocrine tumors (pituitary tumors, adrenal tumors, thyroid tumors).

By following these practical steps, the project aims to develop and implement a methylation-based tumor classification system that improves clinical decision-making and patient care in the field of solid tumor oncology.

1. Study design and sample collection:

• Select a diverse cohort of patients with various types of solid tumors.

• Collect tumor tissue samples for DNA extraction.

• Select the neoplastic area and extract DNA. 2. NGS profiling:

• Analyze molecular alterations using lab-developed NGS panels developed and in use at the IRCCS molecular pathology laboratory (sequencer: S5 Prime - Thermo Fisher Scientific).

  3. Methylation profile:

• Methylation analysis using ChIP array (Next 550 - Illumina) to generate methylation data.

  4. Clinical correlation and interpretation of data:

• Analyze the clinical relevance of tumor classification based on methylation profile. Define how these classifications relate to clinical parameters, to treatment outcome and survival 5. Development of diagnostic/therapeutic protocols:

• Development of interdisciplinary protocols to implement methylation profile -based tumor classification in the clinical setting.

Enrollment: 180 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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