Improved Diagnosis of Ovarian Cancer by Use of Circulating Tumor DNA as a Biomarker

Sponsor
University of Aarhus (Other)
Overall Status
Recruiting
CT.gov ID
NCT05763511
Collaborator
Aarhus University Hospital (Other)
300
1
82.1
3.7

Study Details

Study Description

Brief Summary

This project investigates circulating tumor DNA (ctDNA) in patients with suspected ovarian malignancy.

We hypothesize that measurement of ctDNA in women with suspected ovarian cancer can improve the diagnostic efficiency for preoperative differentiation between benign and malignant masses.

Specifically, we hope to determine the diagnostic efficiency of ctDNA alone and ctDNA in combination with imaging modalities (ultrasonography, MRI, PET-CT) and CA 125 for preoperative differentiation between benign and malignant adnexal masses. Based on this, we hope to develop an improved diagnostic algorithm.

The mutational profile and relation to tumour type, stage, treatment response and prognosis will be explored.

Analyses of blood and tissue samples will be used to examine the disease development and biology.

Blood samples, tumour tissue and data on imaging modalities as well as CA 125 will be collected prospectively in consecutive women referred to Aarhus University Hospital.

Condition or Disease Intervention/Treatment Phase

    Study Design

    Study Type:
    Observational
    Anticipated Enrollment :
    300 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Improved Diagnosis of Ovarian Cancer by Use of Circulating Tumor DNA as a Biomarker
    Actual Study Start Date :
    Jul 1, 2022
    Anticipated Primary Completion Date :
    May 4, 2024
    Anticipated Study Completion Date :
    May 4, 2029

    Outcome Measures

    Primary Outcome Measures

    1. Diagnostic efficiency (reference: histopathological diagnosis) [6 months]

      Sensitivity, Specificity, Area under the receiver operation characteristic curve, positive and negative predictive values.

    Secondary Outcome Measures

    1. Diagnostic efficiency of ctDNA combined with imaging (ultrasonography, MRI, PET-CT, CT, etc.) and CA 125 for differentiation of benign and malignant adnexal masses. [6 months]

      Area under the receiver operation characteristic curve, sensitivity, specificity, positive and negative predictive values.

    2. Disease stage [6 months]

      FIGO stage

    3. Treatment response [2 years]

      Response to treatment

    4. Survival [5 years]

      Survival rate

    5. Tumour Biology [6 months]

      Mutational profile assessed by Whole Exome Sequencing.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years and Older
    Sexes Eligible for Study:
    Female
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • Suspected ovarian neoplasm

    • Informed consent

    Exclusion Criteria:
    • Inability to give informed consent

    • Previous ovarian cancer diagnosis

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Department of Gynaecology and Obstetrics, Aarhus University Hospital Aarhus Denmark

    Sponsors and Collaborators

    • University of Aarhus
    • Aarhus University Hospital

    Investigators

    • Principal Investigator: Ina Marie Dueholm Hjorth, MD, University of Aarhus

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Ina Marie Dueholm Hjorth, Medical doctor, PhD student, University of Aarhus
    ClinicalTrials.gov Identifier:
    NCT05763511
    Other Study ID Numbers:
    • Ovarian cancer ctDNA
    First Posted:
    Mar 10, 2023
    Last Update Posted:
    Mar 13, 2023
    Last Verified:
    Mar 1, 2023
    Individual Participant Data (IPD) Sharing Statement:
    No
    Plan to Share IPD:
    No
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Mar 13, 2023