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Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples
BACKGROUND: Breast cancer is a leading cause of morbidity and mortality worldwide. Although mammography screening is available, there is an ongoing interest in improved early detection and prognosis. Herein, we have analysed a combination of serological biomarkers in a case–control cohort of sera ta...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318971/ https://www.ncbi.nlm.nih.gov/pubmed/28081538 http://dx.doi.org/10.1038/bjc.2016.433 |
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author | Kazarian, Anna Blyuss, Oleg Metodieva, Gergana Gentry-Maharaj, Aleksandra Ryan, Andy Kiseleva, Elena M Prytomanova, Olga M Jacobs, Ian J Widschwendter, Martin Menon, Usha Timms, John F |
author_facet | Kazarian, Anna Blyuss, Oleg Metodieva, Gergana Gentry-Maharaj, Aleksandra Ryan, Andy Kiseleva, Elena M Prytomanova, Olga M Jacobs, Ian J Widschwendter, Martin Menon, Usha Timms, John F |
author_sort | Kazarian, Anna |
collection | PubMed |
description | BACKGROUND: Breast cancer is a leading cause of morbidity and mortality worldwide. Although mammography screening is available, there is an ongoing interest in improved early detection and prognosis. Herein, we have analysed a combination of serological biomarkers in a case–control cohort of sera taken before diagnosis. METHODS: This nested case–control study within the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) used serum samples from 239 women who subsequently developed breast cancer and 239 matched cancer-free controls. Sera were screened by ELISA for 9 candidate markers. Univariate and multivariate analyses were performed to examine associations with clinico-pathological features and between case controls in different time groups before diagnosis. RESULTS: Significant associations with clinico-pathological features related to prognosis were found for several candidates (CA15-3, HSP90A and PAI-1). However, there were no consistent differences between cases and controls for any candidate in the lead up to diagnosis. Whilst combination models outperformed single markers, there was no increase in performance towards diagnosis. CONCLUSIONS: This study using unique pre-diagnosis samples shows that CA15-3, HSP90A and PAI-1 have potential as early prognostic markers and warrant further investigation. However, none of the candidates or combinations would be useful for screening. |
format | Online Article Text |
id | pubmed-5318971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53189712017-02-27 Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples Kazarian, Anna Blyuss, Oleg Metodieva, Gergana Gentry-Maharaj, Aleksandra Ryan, Andy Kiseleva, Elena M Prytomanova, Olga M Jacobs, Ian J Widschwendter, Martin Menon, Usha Timms, John F Br J Cancer Molecular Diagnostics BACKGROUND: Breast cancer is a leading cause of morbidity and mortality worldwide. Although mammography screening is available, there is an ongoing interest in improved early detection and prognosis. Herein, we have analysed a combination of serological biomarkers in a case–control cohort of sera taken before diagnosis. METHODS: This nested case–control study within the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) used serum samples from 239 women who subsequently developed breast cancer and 239 matched cancer-free controls. Sera were screened by ELISA for 9 candidate markers. Univariate and multivariate analyses were performed to examine associations with clinico-pathological features and between case controls in different time groups before diagnosis. RESULTS: Significant associations with clinico-pathological features related to prognosis were found for several candidates (CA15-3, HSP90A and PAI-1). However, there were no consistent differences between cases and controls for any candidate in the lead up to diagnosis. Whilst combination models outperformed single markers, there was no increase in performance towards diagnosis. CONCLUSIONS: This study using unique pre-diagnosis samples shows that CA15-3, HSP90A and PAI-1 have potential as early prognostic markers and warrant further investigation. However, none of the candidates or combinations would be useful for screening. Nature Publishing Group 2017-02-14 2017-01-12 /pmc/articles/PMC5318971/ /pubmed/28081538 http://dx.doi.org/10.1038/bjc.2016.433 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Molecular Diagnostics Kazarian, Anna Blyuss, Oleg Metodieva, Gergana Gentry-Maharaj, Aleksandra Ryan, Andy Kiseleva, Elena M Prytomanova, Olga M Jacobs, Ian J Widschwendter, Martin Menon, Usha Timms, John F Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples |
title | Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples |
title_full | Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples |
title_fullStr | Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples |
title_full_unstemmed | Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples |
title_short | Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples |
title_sort | testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples |
topic | Molecular Diagnostics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318971/ https://www.ncbi.nlm.nih.gov/pubmed/28081538 http://dx.doi.org/10.1038/bjc.2016.433 |
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