Published today in Biomarkers in Cancer is a new original research article by Galit Yahalom, Daria Weiss, Ilya Novikov, Therese B. Bevers, Laszlo G. Radvanyi, Mei Liu, Benjamin Piura, Stefano Iacobelli, Maria T. Sandri, Enrico Cassano, Tanir M. Allweis, Arie Bitterman, Pnina Engelman, Luis M. Vence and Marvin M. Rosenberg.  Read more about this paper below:

Title

An Antibody-based Blood Test Utilizing a Panel of Biomarkers as a New Method for Improved Breast Cancer Diagnosis

Abstract

In order to develop a new tool for diagnosis of breast cancer based on autoantibodies against a panel of biomarkers, a clinical trial including blood samples from 507 subjects was conducted. All subjects showed a breast abnormality on exam or breast imaging and final biopsy pathology of either breast cancer patients or healthy controls. Using an enzyme-linked immunosorbent assay, the samples were tested for autoantibodies against a predetermined number of biomarkers in various models that were used to determine a diagnosis, which was compared to the clinical status. Our new assay achieved a sensitivity of 95.2% [CI = 92.8–96.8%] at a fixed specificity of 49.5%. Receiver-operator characteristic curve analysis showed an area under the curve of 80.1% [CI = 72.6–87.6%]. These results suggest that a blood test which is based on models comprising several autoantibodies to specific biomarkers may be a new and novel tool for improving the diagnostic evaluation of breast cancer.

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