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Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review
Ovarian cancer is the 5th leading cause of death for women with cancer worldwide. In more than 70% of cases, it is only diagnosed at an advanced stage. Our study aims to give an update on the biological markers for diagnosing ovarian cancer, specifically HE4, CA 125, RMI and ROMA algorithms. Serum C...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436208/ https://www.ncbi.nlm.nih.gov/pubmed/30917847 http://dx.doi.org/10.1186/s13048-019-0503-7 |
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author | Dochez, Vincent Caillon, Hélène Vaucel, Edouard Dimet, Jérôme Winer, Norbert Ducarme, Guillaume |
author_facet | Dochez, Vincent Caillon, Hélène Vaucel, Edouard Dimet, Jérôme Winer, Norbert Ducarme, Guillaume |
author_sort | Dochez, Vincent |
collection | PubMed |
description | Ovarian cancer is the 5th leading cause of death for women with cancer worldwide. In more than 70% of cases, it is only diagnosed at an advanced stage. Our study aims to give an update on the biological markers for diagnosing ovarian cancer, specifically HE4, CA 125, RMI and ROMA algorithms. Serum CA125 assay has low sensitivity in the early stages and can be increased in certain conditions such as menstruation or endometriosis. The level of HE4 is overexpressed in ovarian tumors. Its specificity is 94% and its level is not affected by endometriosis cysts. The combined measures of CA125 and HE4 have proved to be highly efficient with an area under the curve (AUC) of up to 0.96. Furthermore, this combined measure of CA125 can correct the variations in HE4 which are due to smoking or contraception combining estrogen plus progestin. While the specificity of RMI sometimes reaches 92%, the rather low AUC of 0.86 does not make it the best diagnostic tool. The specificity of ROMA is lower than HE4 (84% compared to 94%). To date, the most efficient biological diagnostic tool to diagnose ovarian cancer is the combination of CA125 and HE4. |
format | Online Article Text |
id | pubmed-6436208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64362082019-04-08 Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review Dochez, Vincent Caillon, Hélène Vaucel, Edouard Dimet, Jérôme Winer, Norbert Ducarme, Guillaume J Ovarian Res Review Ovarian cancer is the 5th leading cause of death for women with cancer worldwide. In more than 70% of cases, it is only diagnosed at an advanced stage. Our study aims to give an update on the biological markers for diagnosing ovarian cancer, specifically HE4, CA 125, RMI and ROMA algorithms. Serum CA125 assay has low sensitivity in the early stages and can be increased in certain conditions such as menstruation or endometriosis. The level of HE4 is overexpressed in ovarian tumors. Its specificity is 94% and its level is not affected by endometriosis cysts. The combined measures of CA125 and HE4 have proved to be highly efficient with an area under the curve (AUC) of up to 0.96. Furthermore, this combined measure of CA125 can correct the variations in HE4 which are due to smoking or contraception combining estrogen plus progestin. While the specificity of RMI sometimes reaches 92%, the rather low AUC of 0.86 does not make it the best diagnostic tool. The specificity of ROMA is lower than HE4 (84% compared to 94%). To date, the most efficient biological diagnostic tool to diagnose ovarian cancer is the combination of CA125 and HE4. BioMed Central 2019-03-27 /pmc/articles/PMC6436208/ /pubmed/30917847 http://dx.doi.org/10.1186/s13048-019-0503-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Dochez, Vincent Caillon, Hélène Vaucel, Edouard Dimet, Jérôme Winer, Norbert Ducarme, Guillaume Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review |
title | Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review |
title_full | Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review |
title_fullStr | Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review |
title_full_unstemmed | Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review |
title_short | Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review |
title_sort | biomarkers and algorithms for diagnosis of ovarian cancer: ca125, he4, rmi and roma, a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436208/ https://www.ncbi.nlm.nih.gov/pubmed/30917847 http://dx.doi.org/10.1186/s13048-019-0503-7 |
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