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":"利用一组生物标志物作为改进乳腺癌诊断的新方法的基于抗体的血液检测。","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":"{\"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}","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}
An Antibody-based Blood Test Utilizing a Panel of Biomarkers as a New Method for Improved Breast Cancer Diagnosis.
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.