MedPath

Phenotypic Spectrum of CTCs in Tumors of the Female Reproductive System

Completed
Conditions
Breast Cancer
Ovarian Cancer
Endometrial Cancer
Registration Number
NCT04817501
Lead Sponsor
Tomsk National Research Medical Center of the Russian Academy of Sciences
Brief Summary

The study evaluates the level and molecular profiles of different CTC populations as markers for predicting the risk of developing hematogenous metastases and the effectiveness of treatment in patients with tumors of the female reproductive system (breast cancer, endometrial cancer, and ovarian cancer).

The primary objective are:

1. To assess the presence and number of different populations of CTCs at different time points (before biopsy, before surgery, and after surgery).

2. To assess the relationships of different CTCs populations prior to treatment initiation with the effects of neoadjuvant chemotherapy and the risks of recurrence and metastases.

3. To assess the molecular profiles of different CTCs populations in the blood and in ascitic fluid.

The secondary objective is to compare the multicolor flow cytometry results with data of ultrasound, CT and/or MRI, serum tumor markers, and immunohistochemical studies in patients with breast cancer, endometrial cancer and ovarian cancer

Detailed Description

The overall goal is to study the diagnostic and prognostic efficacy of various CTC populations as liquid biopsy markers in tumors of the female reproductive system (breast cancer, endometrial cancer, and ovarian cancer).

Phase I study:

Determination of different populations of CTCs in blood and ascitic fluid (if any) prior to treatment.

The main objectives of the study:

1. To assess the presence and number of different CTC populations at different time points (before biopsy and before surgery) using multicolor flow cytometry.

2. To assess the relationships between different CTCs populations prior to treatment initiation with the effects of neoadjuvant chemotherapy and the risks of recurrence and metastases.

3. To assess the molecular profiles of different CTCs populations in the blood and in ascitic fluid.

Additional research tasks:

To compare the multicolor flow cytometry results with the data of ultrasound, CT and/or MRI, serum tumor markers, and immunohistochemical studies in patients with breast cancer, endometrial cancer, and ovarian cancer Methodology: Open-label, exploratory, single centre study. Blood and ascitic fluid collected from subjects (if available)

Recruitment & Eligibility

Status
COMPLETED
Sex
Female
Target Recruitment
150
Inclusion Criteria
  • Subject is > 18 years of age A negative pregnancy test (serum beta-human chorionic gonadotropin, beta-HCG) at screening for all patients of childbearing potential.
  • Clinical and radiological diagnosis of breast cancer or Ovarian cancer or Endometrial Cancer General satisfactory condition (according to the ECOG scale ≤2) Subject is capable to undergo the diagnostic investigations to be performed in the study
  • Informed consent
Exclusion Criteria
  • Active current autoimmune disease or history of autoimmune disease

    • Active infection or history of severe infection within the previous 3 months (if clinically relevant at screening)
    • Known HIV positive or chronically active hepatitis B or C The subject has multiple primary malignant tumors

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
CTC phenotype6 hours

Different populations of CTCs are evaluated by multicolor flow cytometry and may include:

СTC, ascitic tumor cells with stemness features without EMT features; CTC, ascitic tumor cells without stemness and EMT features; CTC, ascitic tumor cells without stemness features and with EMT features; CTC, ascitic tumor cells with stemness features and EMT features; Atypical/hybrid cells without stemness features; Atypical cells.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Evgeniya Kaigorodova

🇷🇺

Tomsk, Tomskaya Oblast, Russian Federation

Evgeniya Kaigorodova
🇷🇺Tomsk, Tomskaya Oblast, Russian Federation

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.