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NCT Number: NCT07331506

Validation of the Oncoliq Test for the Early Detection of Breast Cancer.

Cancer continues to be one of the most significant public health issues worldwide. Thanks to early detection, the mortality rate of certain types of cancer has decreased significantly. However, the lack of accessible, low-cost, non-invasive, non-toxic, and easy-to-implement diagnostic methods results in late diagnoses, leading to 1 in every 6 people dying from cancer today.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression and are found both inside cells and in bodily fluids such as blood and urine. Several studies have demonstrated their role in human diseases, especially cancer, where tumors release miRNAs into the bloodstream that can be used as biomarkers for early detection.

The research and development team at Oncoliq SAS identified a panel of miRNAs associated with breast cancer, with a detection performance of 82% sensitivity and 83% specificity, validated in exploratory and preliminary confirmatory studies. These results led to the filing of a patent based on liquid biopsy technology.

The objective of this protocol is to establish a panel of miRNAs for the early detection of breast cancer using samples from breast cancer patients and a cancer-free control group. Validation of the miRNAs will be carried out through RT-qPCR. This stage constitutes the analytical validation of the biomarkers, with the goal of developing an algorithm capable of classifying individuals with and without breast cancer. In future stages, a pilot clinical trial is planned to evaluate test implementation and clinical validation.

Recruiting

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Key information

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Group 1 - Breast Cancer:

Age between 40 and 70 years Diagnosis of breast cancer at any stage No prior surgical treatment No prior antineoplastic treatment Pathology report available at the time of enrollment Signed informed consent

Group 2 - No Cancer (Control):

Age between 50 and 70 years No diagnosis or personal history of any type of cancer Digital mammography and breast ultrasound showing no breast pathology (BI-RADS 1 or 2) Signed informed consent

Exclusion criteria

Refusal to sign the informed consent Communication issues that hinder understanding (hearing loss, blindness, intellectual disability, or dementia) Venipuncture for blood collection impracticable or posing a risk Personal history of previous cancer

Treatment and study plan

Peripheral blood draw

Other

Collection of a blood sample for plasma isolation and miRNA analysis.

Primary outcomes

  1. Enrollment of 300 Participants

    Time frame: October to December 2025

    Successful recruitment and enrollment of a total of 300 eligible participants across both study groups within the planned recruitment period.

Secondary outcomes

  1. Development of a Machine Learning Classification Algorithm

    Time frame: December 2025 to March 2026

    Creation and validation of a machine learning model capable of distinguishing between individuals with breast cancer and cancer-free controls based on blood-derived biomarkers.

Study contacts

Contact information is provided by the study sponsor or research team.

Adriana De Siervi, PhD in Molecular Biology

CONTACT

[email protected]

+54 11 3269 5832

Camila Zaslavsky, Pharmacist

CONTACT

[email protected]

+54 11 2164 1626

Sponsors and collaborators

Lead sponsor

Oncoliq US Inc

Industry

Registry information

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Jan 12, 2026
Registry last updated
Jan 15, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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