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Oncoliq is a novel early breast cancer detection test based on liquid biopsies and microRNAs. This innovative test aims to improve the accuracy of cancer detection, thereby reducing patient mortality and healthcare costs.
To develop this test, the discovery and validation phases have been completed. In addition, Machine learning and AI were used to determine the algorithm for breast cancer detection.
The overall objective of this protocol is to implement a pilot test to enroll 1,000 women without a previous cancer diagnosis who are attending their annual medical check-up.
To achieve this, we will develop the following specific objectives:
Enroll women over age 35 who attend the gynecological annual check-up. Test the plasma of the enrolled volunteers for specific miRNA biomarkers using RT-qPCR.
Perform an analysis based on artificial intelligence techniques in collaboration with IMAGO Systems (USA) on mammogram images.
Compare the results obtained from the clinical check-up (BiRad from mammogram), IMAGO Systems and RT-qPCR (Oncoliq breast test). Conduct a 5-year follow-up on volunteers with pathological results from Oncoliq breast test.
Participants who meet the inclusion and exclusion criteria and agree to take part in the protocol will be required to sign both pages of the Informed Consent Form and complete the Annex and Survey. Subsequently, a small blood sample of 3-5 mL will be drawn via venipuncture.
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364 participants in 1 patient group
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Central trial contact
Javier Stigliano, MD specialist in mastology
Data sourced from clinicaltrials.gov
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