Assessment of the Effectiveness of the Metabolomic Approach in Screening for Endometrial Cancer

NCT ID: NCT06893861

Last Updated: 2025-03-25

Basic Information

• Recruitment Status: RECRUITING
• Total Enrollment: 3100 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-07-06
• Study Completion Date: 2025-07-31

Brief Summary

The study involves the use of reagents or materials for diagnostic assessments that are not commercially available, specifically a metabolomic signature for screening endometrial carcinoma and/or other types of cancers, and follows a case-control design.

This study aims to achieve several objectives that contribute to evaluating the diagnostic potential of a specific "metabolomic signature" to be used for screening endometrial carcinoma. Specifically, the study seeks to assess the signature's discriminative ability in differentiating between benign endometrial neoplasms and neoplasms of different histological origins.

Detailed Description

The study is structured into several phases, described below:

• Recruitment and data collection of patients selected for model training at IRCCS Pascale The study will be conducted on patients attending the IRCCS G. Pascale according to normal clinical practice. The patient's participation in the study will begin with the collection of their data and biological samples and will end with the follow-up visit.
• Recruitment and data collection of patients selected for the validation of the trained models at Diagnostica Medica.

This phase of the study will be conducted on patients who will attend the laboratories of the company "Dott.ri Armando and Pierpaolo Cavallo - Diagnostica Medica" according to standard diagnostic and healthcare practices. Specifically, patients who undergo the required checks within the normal diagnostic and healthcare pathway through laboratory medicine, and who meet the enrollment criteria, will be invited to participate in the study.

• Collection of biological samples from enrolled patients In the event of the patient's actual enrollment in the study, blood samples necessary for the study will be collected.
• Analysis of Biological Samples The analysis will consist of both a bioanalytical and a bioinformatic phase. The bioanalytical phase will involve the extraction of the metabolome from DBS (Dried Blood Spots) using a mixture of solvents optimized to extract both polar and apolar metabolites, as well as those with acidic, basic, and neutral properties. This will be followed by a purification phase of the extracted metabolites using liquid-phase partitioning and a post-lyophilization derivatization phase to enhance chromatographic separation. The definition of the metabolomic profile will be carried out using mass spectrometry techniques with a single quadrupole coupled with gas chromatography (GCMS) and high-resolution mass spectrometry techniques (UPLC-Q-Orbitrap).
• Measurement Methods for Results The results of the experiment will be evaluated in terms of sensitivity (defined as the ability to correctly identify affected subjects), specificity (defined as the ability to correctly identify subjects not affected by endometrial carcinoma), positive and negative predictive value (defined respectively as the probability of a subject being correctly classified as affected or not affected), and overall accuracy (defined as the total number of diagnostic errors made by the test). Preliminary evaluations of the diagnostic effectiveness of the metabolomic signature, measured by cross-validation estimates of classification models, showed sensitivity ranging from 93-100%, specificity ranging from 92-98%, and overall accuracy between 95-100%.

The study is expected to last a total of 2 years. All collected data will be integrated and analyzed using mathematical and statistical tools, both descriptive and multivariate.

Conditions

Endometrial Carcinoma (EC)

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

Cohort of women with endometrial carcinoma

Metabolomic profiling

Intervention Type: OTHER

Blood samples will be collected from these subjects, and following metabolomic profiling, the data will provide the foundation for training machine learning models capable of recognizing the metabolomic profiles of subjects with endometrial carcinoma and differentiating them from subjects with other conditions.

Cohort of healthy subjects to be used as controls

Metabolomic profiling

Intervention Type: OTHER

Blood samples will be collected from these subjects, and following metabolomic profiling, the data will provide the foundation for training machine learning models capable of recognizing the metabolomic profiles of subjects with endometrial carcinoma and differentiating them from subjects with other conditions.

Cohort of other non-oncological uterine conditions and oncological conditions affecting other organ

Metabolomic profiling

Intervention Type: OTHER

Blood samples will be collected from these subjects, and following metabolomic profiling, the data will provide the foundation for training machine learning models capable of recognizing the metabolomic profiles of subjects with endometrial carcinoma and differentiating them from subjects with other conditions.

Additional cohort will be recruited to validate the trained models

This cohort will consist of postmenopausal women, aged between 50 and 80 years.

Metabolomic profiling

Intervention Type: OTHER

Blood samples will be collected from these subjects, and following metabolomic profiling, the data will provide the foundation for training machine learning models capable of recognizing the metabolomic profiles of subjects with endometrial carcinoma and differentiating them from subjects with other conditions.

Interventions

Metabolomic profiling

Blood samples will be collected from these subjects, and following metabolomic profiling, the data will provide the foundation for training machine learning models capable of recognizing the metabolomic profiles of subjects with endometrial carcinoma and differentiating them from subjects with other conditions.

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

1. Female sex

2. Age between 50 and 80 years

3. Willingness to participate in the study and signing of the informed consent

4. Clinical condition of post-menopause

Exclusion Criteria

1. Previous hysterectomy

2. Hormone replacement therapy

3. Immunosuppressive therapy

• Minimum Eligible Age: 50 Years
• Maximum Eligible Age: 80 Years
• Eligible Sex: FEMALE
• Accepts Healthy Volunteers: Yes

Sponsors

National Cancer Institute, Naples

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Antonella De Luca

Role: PRINCIPAL_INVESTIGATOR

IRCCS I.N.T. "G. Pascale"

Locations

Istituto Nazionale Tumori | "Fondazione Pascale"

Napoli, , Italy

Site Status: RECRUITING

Countries

Italy

Central Contacts

Antonella De Luca

Role: CONTACT

a.deluca@istitutotumori.na.it

08117770603

Facility Contacts

Antonella De Luca

Role: primary

a.deluca@istitutotumori.na.it

08117770603

Other Identifiers

METABOLOMIC ENDOMETRIO

Identifier Type: -

Identifier Source: org_study_id