SEQUENTIAL PROFILING OF TUMOR-DERIVED CIRCULATING CELL-FREE DNA (ctDNA) IN ADVANCED OVARIAN CANCER PATIENTS

NCT ID: NCT06071286

Last Updated: 2025-02-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

30 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-12-19

Study Completion Date

2026-10-30

Brief Summary

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Ovarian cancer (OC) is the third most common gynaecologic cancer worldwide and has the highest mortality rate among gynaecologic cancers. Despite the advances in cytoreductive surgery and frontline chemotherapy, recurrence is a common event in the advanced disease setting, with more than 70% of women experiencing relapse within two years from diagnosis.

New strategies to anticipate the diagnosis of recurrence have been investigated in the last years. In this context, standard serum biomarkers, such as CA-125, and radiological evaluation are commonly used for disease surveillance, However, the early identification of relapsed disease as well as the identification of patients at higher risk for recurrence are still unmetclinical needs. Novel and reliable molecular biomarkers, which might also better represent the intrinsic molecular complexity of OC, could help clinicians to address this important challenge.

Circulating tumor DNA (ctDNA) analysis has recently emerged as a non-invasive tool to profile and monitor tumor evolution over time. CtDNA has been extensively studied in several neoplasms in order to evaluate its ability in anticipating detection of relapse compared to common markers used in clinical practice. Wehave designed a study to assess the ability of ctDNA to detect recurrence and progression of disease and to provide a genomic characterization, during follow-up of patients with advanced OC. If proven effective and reliable, ctDNA could be introduced into routine surveillance programme for OC.

Detailed Description

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Conditions

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Ovarian Cancer

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Interventional

Patients with suspected advanced OC, based on preoperative imaging/clinical evaluation, will undergo blood samples in different timepoints

Group Type EXPERIMENTAL

Blood samples

Intervention Type PROCEDURE

Patients with suspected advanced OC, based on preoperative imaging/clinical evaluation, will undergo blood samples in different timepoints

Interventions

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Blood samples

Patients with suspected advanced OC, based on preoperative imaging/clinical evaluation, will undergo blood samples in different timepoints

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

1. Newly diagnosed suspicious International Federation of Gynecology and Obstetrics (FIGO) stage III A or greater ovarian, fallopian tube, or primary peritoneal cancer
2. Age between 18 and 80 years
3. Estimated life expectancy of at least 4 weeks 4. Signed informed consent

Exclusion Criteria

1. Any previous cancer in the last 5 years
2. Previous chemotherapy or target treatments 3. Diagnosis of synchronous tumors
3. Pregnancy or breastfeeding
4. Missed informed consent
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Fondazione Policlinico Universitario Agostino Gemelli IRCCS

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Camilla Nero, PhD

Role: PRINCIPAL_INVESTIGATOR

Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Locations

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Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Roma, , Italy

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Camilla Nero, PhD

Role: CONTACT

0630158667

Francesca Sillano

Role: CONTACT

0630158667

Facility Contacts

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Camilla Nero, PHD

Role: primary

0630158667

Other Identifiers

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6065

Identifier Type: -

Identifier Source: org_study_id

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