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Ovarian Cancer Biomarkers in the COVID-19 Era
Ovarian Cancer (OC) diagnosis is entrusted to CA125 and HE4. Since the latter has been found increased in COVID-19 patients, in this study, we aimed to evaluate the influence of SARS-CoV-2 infection on OC biomarkers. HE4 values above the cut-off were observed in 65% of OC patients and in 48% of SARS...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252324/ https://www.ncbi.nlm.nih.gov/pubmed/37297598 http://dx.doi.org/10.3390/ijerph20115994 |
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author | Farina, Antonella Colaiacovo, Flavia Gianfrate, Mariacarmela Pucci, Beatrice Angeloni, Antonio Anastasi, Emanuela |
author_facet | Farina, Antonella Colaiacovo, Flavia Gianfrate, Mariacarmela Pucci, Beatrice Angeloni, Antonio Anastasi, Emanuela |
author_sort | Farina, Antonella |
collection | PubMed |
description | Ovarian Cancer (OC) diagnosis is entrusted to CA125 and HE4. Since the latter has been found increased in COVID-19 patients, in this study, we aimed to evaluate the influence of SARS-CoV-2 infection on OC biomarkers. HE4 values above the cut-off were observed in 65% of OC patients and in 48% of SARS-CoV-2-positive patients (not oncologic patients), whereas CA125 values above the cut-off were observed in 71% of OC patients and in 11% of SARS-CoV-2 patients. Hence, by dividing the HE4 levels into quartiles, we can state that altered levels of HE4 in COVID-19 patients were mostly detectable in quartile I (151–300 pmol/L), while altered levels in OC patients were mostly clustered in quartile III (>600, pmol/L). In light of these observations, in order to better discriminate women with ovarian cancer versus those with COVID-19, we established a possible HE4 cut-off of 328 pmol/L by means of a ROC curve. These results demonstrate that the reliability of HE4 as a biomarker in ovarian cancer remains unchanged, despite COVID-19 interference; moreover, it is important for a proper diagnosis that whether the patient has a recent history of SARS-CoV-2 infection is determined. |
format | Online Article Text |
id | pubmed-10252324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102523242023-06-10 Ovarian Cancer Biomarkers in the COVID-19 Era Farina, Antonella Colaiacovo, Flavia Gianfrate, Mariacarmela Pucci, Beatrice Angeloni, Antonio Anastasi, Emanuela Int J Environ Res Public Health Article Ovarian Cancer (OC) diagnosis is entrusted to CA125 and HE4. Since the latter has been found increased in COVID-19 patients, in this study, we aimed to evaluate the influence of SARS-CoV-2 infection on OC biomarkers. HE4 values above the cut-off were observed in 65% of OC patients and in 48% of SARS-CoV-2-positive patients (not oncologic patients), whereas CA125 values above the cut-off were observed in 71% of OC patients and in 11% of SARS-CoV-2 patients. Hence, by dividing the HE4 levels into quartiles, we can state that altered levels of HE4 in COVID-19 patients were mostly detectable in quartile I (151–300 pmol/L), while altered levels in OC patients were mostly clustered in quartile III (>600, pmol/L). In light of these observations, in order to better discriminate women with ovarian cancer versus those with COVID-19, we established a possible HE4 cut-off of 328 pmol/L by means of a ROC curve. These results demonstrate that the reliability of HE4 as a biomarker in ovarian cancer remains unchanged, despite COVID-19 interference; moreover, it is important for a proper diagnosis that whether the patient has a recent history of SARS-CoV-2 infection is determined. MDPI 2023-05-29 /pmc/articles/PMC10252324/ /pubmed/37297598 http://dx.doi.org/10.3390/ijerph20115994 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Farina, Antonella Colaiacovo, Flavia Gianfrate, Mariacarmela Pucci, Beatrice Angeloni, Antonio Anastasi, Emanuela Ovarian Cancer Biomarkers in the COVID-19 Era |
title | Ovarian Cancer Biomarkers in the COVID-19 Era |
title_full | Ovarian Cancer Biomarkers in the COVID-19 Era |
title_fullStr | Ovarian Cancer Biomarkers in the COVID-19 Era |
title_full_unstemmed | Ovarian Cancer Biomarkers in the COVID-19 Era |
title_short | Ovarian Cancer Biomarkers in the COVID-19 Era |
title_sort | ovarian cancer biomarkers in the covid-19 era |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252324/ https://www.ncbi.nlm.nih.gov/pubmed/37297598 http://dx.doi.org/10.3390/ijerph20115994 |
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