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Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes
BACKGROUND: Securing a diagnosis of ovarian cancer and establishing means to predict outcomes to therapeutics remain formidable clinical challenges. Early diagnosis is particularly important since survival rates are markedly improved if tumour is detected early. METHODS: Comprehensive miRNA profiles...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929876/ https://www.ncbi.nlm.nih.gov/pubmed/24366298 http://dx.doi.org/10.1038/bjc.2013.795 |
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author | Shapira, I Oswald, M Lovecchio, J Khalili, H Menzin, A Whyte, J Dos Santos, L Liang, S Bhuiya, T Keogh, M Mason, C Sultan, K Budman, D Gregersen, P K Lee, A T |
author_facet | Shapira, I Oswald, M Lovecchio, J Khalili, H Menzin, A Whyte, J Dos Santos, L Liang, S Bhuiya, T Keogh, M Mason, C Sultan, K Budman, D Gregersen, P K Lee, A T |
author_sort | Shapira, I |
collection | PubMed |
description | BACKGROUND: Securing a diagnosis of ovarian cancer and establishing means to predict outcomes to therapeutics remain formidable clinical challenges. Early diagnosis is particularly important since survival rates are markedly improved if tumour is detected early. METHODS: Comprehensive miRNA profiles were generated on presurgical plasma samples from 42 women with confirmed serous epithelial ovarian cancer, 36 women diagnosed with a benign neoplasm, and 23 comparably age-matched women with no known pelvic mass. RESULTS: Twenty-two miRNAs were differentially expressed between healthy controls and the ovarian cancer group (P<0.05), while a six miRNA profile subset distinguished presurgical plasma from benign and ovarian cancer patients. There were also significant differences in miRNA profiles in presurgical plasma from women diagnosed with ovarian cancer who had short overall survival when compared to women with long overall survival (P<0.05). CONCLUSION: Our preliminary data support the utility of circulating plasma miRNAs to distinguish women with ovarian cancer from those with a benign mass and identify women likely to benefit from currently available treatment for serous epithelial ovarian cancer from those who may not. |
format | Online Article Text |
id | pubmed-3929876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39298762014-02-24 Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes Shapira, I Oswald, M Lovecchio, J Khalili, H Menzin, A Whyte, J Dos Santos, L Liang, S Bhuiya, T Keogh, M Mason, C Sultan, K Budman, D Gregersen, P K Lee, A T Br J Cancer Molecular Diagnostics BACKGROUND: Securing a diagnosis of ovarian cancer and establishing means to predict outcomes to therapeutics remain formidable clinical challenges. Early diagnosis is particularly important since survival rates are markedly improved if tumour is detected early. METHODS: Comprehensive miRNA profiles were generated on presurgical plasma samples from 42 women with confirmed serous epithelial ovarian cancer, 36 women diagnosed with a benign neoplasm, and 23 comparably age-matched women with no known pelvic mass. RESULTS: Twenty-two miRNAs were differentially expressed between healthy controls and the ovarian cancer group (P<0.05), while a six miRNA profile subset distinguished presurgical plasma from benign and ovarian cancer patients. There were also significant differences in miRNA profiles in presurgical plasma from women diagnosed with ovarian cancer who had short overall survival when compared to women with long overall survival (P<0.05). CONCLUSION: Our preliminary data support the utility of circulating plasma miRNAs to distinguish women with ovarian cancer from those with a benign mass and identify women likely to benefit from currently available treatment for serous epithelial ovarian cancer from those who may not. Nature Publishing Group 2014-02-18 2013-12-24 /pmc/articles/PMC3929876/ /pubmed/24366298 http://dx.doi.org/10.1038/bjc.2013.795 Text en Copyright © 2014 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Molecular Diagnostics Shapira, I Oswald, M Lovecchio, J Khalili, H Menzin, A Whyte, J Dos Santos, L Liang, S Bhuiya, T Keogh, M Mason, C Sultan, K Budman, D Gregersen, P K Lee, A T Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes |
title | Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes |
title_full | Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes |
title_fullStr | Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes |
title_full_unstemmed | Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes |
title_short | Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes |
title_sort | circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes |
topic | Molecular Diagnostics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929876/ https://www.ncbi.nlm.nih.gov/pubmed/24366298 http://dx.doi.org/10.1038/bjc.2013.795 |
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