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A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer
We previously found a panel of autoantibodies against multiple tumor-associated antigens (BMI-1, HSP70, MMP-7, NY-ESO-1, p53 and PRDX6) that might facilitate early detection of esophagogastric junction adenocarcinoma and esophageal squamous cell carcinoma. Here we aimed at assessing the diagnostic p...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040727/ https://www.ncbi.nlm.nih.gov/pubmed/33854634 http://dx.doi.org/10.7150/jca.57019 |
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author | Hong, Chao-Qun Weng, Xue-Fen Huang, Xu-Chun Chu, Ling-Yu Wei, Lai-Feng Lin, Yi-Wei Chen, Liu-Yi Liu, Can-Tong Xu, Yi-Wei Peng, Yu-Hui |
author_facet | Hong, Chao-Qun Weng, Xue-Fen Huang, Xu-Chun Chu, Ling-Yu Wei, Lai-Feng Lin, Yi-Wei Chen, Liu-Yi Liu, Can-Tong Xu, Yi-Wei Peng, Yu-Hui |
author_sort | Hong, Chao-Qun |
collection | PubMed |
description | We previously found a panel of autoantibodies against multiple tumor-associated antigens (BMI-1, HSP70, MMP-7, NY-ESO-1, p53 and PRDX6) that might facilitate early detection of esophagogastric junction adenocarcinoma and esophageal squamous cell carcinoma. Here we aimed at assessing the diagnostic performance of these autoantibodies in breast cancer patients. Enzyme-linked immunosorbent assay was applied to detect sera autoantibodies in 123 breast cancer patients and 123 age-matched normal controls. We adopted logistic regression analysis to identify optimized autoantibody biomarkers for diagnosis and receiver-operating characteristics to analyze diagnostic efficiency. Five of six autoantibodies, BMI-1, HSP70, NY-ESO-1, p53 and PRDX6 demonstrated significantly elevated serum levels in breast cancer compared to normal controls. An optimized panel composed of autoantibodies to BMI-1, HSP70, NY-ESO-1 and p53 showed an area under the curve (AUC) of 0.819 (95% CI 0.766-0.873), 63.4% sensitivity and 90.2% specificity for diagnosing breast cancer. Moreover, this autoantibody panel could differentiate patients with early stage breast cancer from normal controls, with AUC of 0.805 (95% CI 0.743-0.886), 59.6% sensitivity and 90.2% specificity. Our findings indicated that the panel of autoantibodies to BMI-1, HSP70, NY-ESO-1 and p53 as serum biomarkers have the potential to help detect early stage breast cancer. |
format | Online Article Text |
id | pubmed-8040727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-80407272021-04-13 A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer Hong, Chao-Qun Weng, Xue-Fen Huang, Xu-Chun Chu, Ling-Yu Wei, Lai-Feng Lin, Yi-Wei Chen, Liu-Yi Liu, Can-Tong Xu, Yi-Wei Peng, Yu-Hui J Cancer Research Paper We previously found a panel of autoantibodies against multiple tumor-associated antigens (BMI-1, HSP70, MMP-7, NY-ESO-1, p53 and PRDX6) that might facilitate early detection of esophagogastric junction adenocarcinoma and esophageal squamous cell carcinoma. Here we aimed at assessing the diagnostic performance of these autoantibodies in breast cancer patients. Enzyme-linked immunosorbent assay was applied to detect sera autoantibodies in 123 breast cancer patients and 123 age-matched normal controls. We adopted logistic regression analysis to identify optimized autoantibody biomarkers for diagnosis and receiver-operating characteristics to analyze diagnostic efficiency. Five of six autoantibodies, BMI-1, HSP70, NY-ESO-1, p53 and PRDX6 demonstrated significantly elevated serum levels in breast cancer compared to normal controls. An optimized panel composed of autoantibodies to BMI-1, HSP70, NY-ESO-1 and p53 showed an area under the curve (AUC) of 0.819 (95% CI 0.766-0.873), 63.4% sensitivity and 90.2% specificity for diagnosing breast cancer. Moreover, this autoantibody panel could differentiate patients with early stage breast cancer from normal controls, with AUC of 0.805 (95% CI 0.743-0.886), 59.6% sensitivity and 90.2% specificity. Our findings indicated that the panel of autoantibodies to BMI-1, HSP70, NY-ESO-1 and p53 as serum biomarkers have the potential to help detect early stage breast cancer. Ivyspring International Publisher 2021-03-05 /pmc/articles/PMC8040727/ /pubmed/33854634 http://dx.doi.org/10.7150/jca.57019 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Hong, Chao-Qun Weng, Xue-Fen Huang, Xu-Chun Chu, Ling-Yu Wei, Lai-Feng Lin, Yi-Wei Chen, Liu-Yi Liu, Can-Tong Xu, Yi-Wei Peng, Yu-Hui A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer |
title | A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer |
title_full | A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer |
title_fullStr | A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer |
title_full_unstemmed | A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer |
title_short | A Panel of Tumor-associated Autoantibodies for the Detection of Early-stage Breast Cancer |
title_sort | panel of tumor-associated autoantibodies for the detection of early-stage breast cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040727/ https://www.ncbi.nlm.nih.gov/pubmed/33854634 http://dx.doi.org/10.7150/jca.57019 |
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