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, Marvin M Rosenberg
{"title":"An Antibody-based Blood Test Utilizing a Panel of Biomarkers as a New Method for Improved Breast Cancer Diagnosis.","authors":"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, Marvin M Rosenberg","doi":"10.4137/BIC.S13236","DOIUrl":null,"url":null,"abstract":"<p><p>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. </p>","PeriodicalId":72377,"journal":{"name":"Biomarkers in cancer","volume":"5 ","pages":"71-80"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/BIC.S13236","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4137/BIC.S13236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
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.