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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Breast Cancer Cohort | Participants with a confirmed diagnosis of breast cancer, prior to surgery or systemic treatment. |
| |
| Healthy Control Cohort | Cancer-free volunteers confirmed by breast imaging (BI-RADS 1 or 2) and without a prior history of cancer. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Peripheral blood draw | Other | Collection of a blood sample for plasma isolation and miRNA analysis. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Enrollment of 300 Participants | Successful recruitment and enrollment of a total of 300 eligible participants across both study groups within the planned recruitment period. | October to December 2025 |
| Measure | Description | Time Frame |
|---|---|---|
| Development of a Machine Learning Classification Algorithm | 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. | December 2025 to March 2026 |
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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
Female
The study population consists of two groups of female participants. Group 1 (Breast Cancer): Women aged 40-70 years with a confirmed diagnosis of breast cancer at any stage, prior to any surgical or antineoplastic treatment, and with a pathology report available at enrollment.
Group 2 (Control - No Cancer): Women aged 50-70 years with no current or past history of cancer and normal breast imaging findings (digital mammography and breast ultrasound, Bi-RADS 1/2).
All participants must be able to provide written informed consent. Exclusion criteria include inability to understand the study procedures, medical conditions that make venipuncture unsafe or unfeasible, and any prior history of cancer.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Adriana De Siervi, PhD in Molecular Biology | Contact | +54 11 3269 5832 | adesiervi@oncoliq.bio | |
| Camila Zaslavsky, Pharmacist | Contact | +54 11 2164 1626 | camila@oncoliq.bio |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| DIM Centros de Salud | Recruiting | Buenos Aires | Buenos Aires | B1704 | Argentina |
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| Label | URL |
|---|---|
| 'Breast Cancer Diagnostic and Treatment' | View source |
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Blood samples will be collected and processed to obtain plasma, which will be stored for future analysis.
| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
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