← Back to Clinical Trials
Recruiting NCT07003009

NCT07003009 Immun Checkpoint Washout in Patients With Invasive Ductal Breast Cancer

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT07003009
Status Recruiting
Phase
Sponsor Istanbul Training and Research Hospital
Condition Breast Cancer Metastatic
Study Type INTERVENTIONAL
Enrollment 30 participants
Start Date 2024-01-01
Primary Completion 2025-09-01

Eligibility & Interventions

Sex Female only
Min Age 18 Years
Max Age N/A
Study Type INTERVENTIONAL
Interventions
Malign Lymph Node WashoutBenign Lymph Node Washout

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 30 participants in total. It began in 2024-01-01 with a primary completion date of 2025-09-01.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

Invasive ductal carcinoma is the most common type of invasive breast cancer. In cases where axillary lymph node metastases are diagnosed through screening, they can be found in up to 25% of cases, and in symptomatic cases, up to 60% of cases. The clinical detection accuracy of axillary lymph node metastases is only 33%. Accurate staging of lymph nodes in breast cancer patients is crucial for both prognosis and treatment. Ultrasonography is much more sensitive than physical examination alone for determining axillary lymph node involvement in breast cancer staging. Fine needle aspiration biopsy or core biopsy is diagnostic in lymph nodes that cannot be clarified solely by ultrasonography or are suspicious. Although biopsy sampling yields high diagnostic rates, it requires an experienced pathologist and sometimes takes weeks to yield results. Therefore, there is a need for faster and less costly diagnostic methods for diagnosing axillary metastases. Among thyroid cancers, papillary thyroid carcinomas, a malignancy in which the lymph node washout method is used to determine lymph node metastasis, are the most common. In papillary thyroid cancer patients, washout sampling of neck lymph nodes by fine needle aspiration, searching for thyroglobulin, a protein normally found in thyroid tissue, is considered one of the most valid methods for detecting lymph node metastasis in this cancer. In recent years, immune checkpoint molecules associated with cancer have been widely used as biomarkers and agents in both diagnosis and treatment for cancer patients. There are numerous publications in the literature regarding the expression of immune checkpoint molecules such as Programmed cell death protein 1 (PD-1), Programmed death ligand 1 (PD-L1), and The cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) on the cell surface of breast cancer patients. Although the natural soluble forms of receptors and ligands of immune checkpoint molecules exist and they are important components of immune regulation, their exact mechanisms of action have not yet been determined. There are five studies in the literature evaluating the status of soluble immune checkpoint molecules in breast cancer patients, with one being a review article. It is highly likely that immune checkpoint molecules found on both the cell surface and soluble in blood and body fluids are also present in tumor metastatic regions. There is no study using these immunological biomarkers to determine metastasis in invasive ductal carcinoma patients with metastatic axillary lymph nodes ın the literature. In this study, the investigators will evaluate the soluble levels of immune checkpoint molecules in washout fluids obtained from metastatic axillary lymph nodes and benign lymph nodes in patients with invasive ductal breast carcinoma, and will assess the effectiveness of these immune checkpoint molecules and the washout method in diagnosing metastasis.

Eligibility Criteria

Inclusion Criteria: * Histopathologically proven invasive ductal carcinoma * Patients who will have neoadjuvant therapy Exclusion Criteria: * The fine-needle aspiration biopsy (FNAB) result of the suspected metastatic lymph node is negative. * The FNAB result of the presumed healthy lymph node is malignant. * They refuse to participate in the study. * They have another primary malignancy. * They are pregnant. * They have a history of immunodeficiency.

Contact & Investigator

Central Contact

Ufuk Oguz Idiz, Assoc. Prof. MD. PhD

✉ ufukidiz@gmail.com

📞 +905062044714

Frequently Asked Questions

Who can join the NCT07003009 clinical trial?

This trial is open to female participants only, aged 18 Years or older, studying Breast Cancer Metastatic. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07003009 currently recruiting?

Yes, NCT07003009 is actively recruiting participants. Contact the research team at ufukidiz@gmail.com for enrollment information.

Where is the NCT07003009 trial being conducted?

This trial is being conducted at Istanbul, Turkey (Türkiye).

Who is sponsoring the NCT07003009 clinical trial?

NCT07003009 is sponsored by Istanbul Training and Research Hospital. The trial plans to enroll 30 participants.

Related Trials

Related Intelligence Guides

In-depth guides covering this condition's trials, eligibility, and what to expect.

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology