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      The usefulness of CYFRA 21–1 to diagnose and predict preeclampsia: a nested case-control study

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          Abstract

          Background

          The ability to identify patients at risk for developing preeclampsia is important for preventing morbidity and mortality in both the mother and child. Although CYFRA 21–1 (a fragment of Cytokeratin 19) is considered a promising biomarker for diagnosing preeclampsia, little is known regarding the levels of CYFRA 21–1 during pregnancy. Here, we measured serum CYFRA 21–1 levels in women with an uneventful pregnancy and in women whose pregnancy was complicated by preeclampsia. Furthermore we evaluated whether maternal CYFRA 21–1 levels can be used to predict and/or diagnose preeclampsia.

          Methods

          Longitudinal, sequential blood samples were collected prospectively at seven predetermined visits during pregnancy. Maternal CYFRA 21–1 levels were measured in 50 women with an uneventful pregnancy (control group) and in 10 asymptomatic women whose pregnancy was later complicated by preeclampsia (PE_long group). In addition, CYFRA 21–1 levels were measured from a single sample collected from a separate group of 50 pregnant women with symptomatic preeclampsia (PE_state group).

          Results

          The CYFRA 21–1 levels were significantly higher in the PE_state group compared to the control group ( p < 0.001). In the PE_long group, CYFRA 21–1 levels were lower from gestational week 11 through 17, but were higher than the control group from gestational weeks 18 through 36.

          Out of the ROC curves that were calculated to investigate the predictive and diagnostic properties of CYFRA 21–1 levels for preeclampsia, the ROC curve for diagnosing preeclampsia in gestational week 28–32 showed the largest AUC of 0.92, at a cut-off point of 3.1 ng/ml, leading to sensitivity of 92 % and specificity of 80 %.

          Conclusions

          The elevated serum levels of CYFRA 21–1 observed in both groups of women with preeclampsia may reflect endothelial damage and/or dysfunction. Our results suggest that maternal serum CYFRA 21–1 is a promising biomarker for diagnosing preeclampsia. Although its value for predicting the long-term occurrence of subsequent preeclampsia may be limited, our findings indicate a trend towards elevated maternal CYFRA 21–1 levels preceding the short-term occurrence of preeclampsia in asymptomatic women. Additional prospective longitudinal studies are needed in order to determine the value of measuring maternal serum CYFRA 21–1 in predicting preeclampsia.

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          Most cited references31

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          Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with nonmalignant diseases.

          The purpose of this study was to determine the accuracy, precision, and linearity of the CellSearch system and evaluate the number of circulating tumor cells (CTCs) per 7.5 mL of blood in healthy subjects, patients with nonmalignant diseases, and patients with a variety of metastatic carcinomas. The CellSearch system was used to enumerate CTCs in 7.5 mL of blood. Blood samples spiked with cells from tumor cell lines were used to establish analytical accuracy, reproducibility, and linearity. Prevalence of CTCs was determined in blood from 199 patients with nonmalignant diseases, 964 patients with metastatic carcinomas, and 145 healthy donors. Enumeration of spiked tumor cells was linear over the range of 5 to 1,142 cells, with an average recovery of >/=85% at each spike level. Only 1 of the 344 (0.3%) healthy and nonmalignant disease subjects had >/=2 CTCs per 7.5 mL of blood. In 2,183 blood samples from 964 metastatic carcinoma patients, CTCs ranged from 0 to 23,618 CTCs per 7.5 mL (mean, 60 +/- 693 CTCs per 7.5 mL), and 36% (781 of 2,183) of the specimens had >/=2 CTCs. Detection of >/=2 CTCs occurred at the following rates: 57% (107 of 188) of prostate cancers, 37% (489 of 1,316) of breast cancers, 37% (20 of 53) of ovarian cancers, 30% (99 of 333) of colorectal cancers, 20% (34 of 168) of lung cancers, and 26% (32 of 125) of other cancers. The CellSearch system can be standardized across multiple laboratories and may be used to determine the clinical utility of CTCs. CTCs are extremely rare in healthy subjects and patients with nonmalignant diseases but present in various metastatic carcinomas with a wide range of frequencies.
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            ACOG practice bulletin. Diagnosis and management of preeclampsia and eclampsia. Number 33, January 2002.

            (2002)
            Hypertensive disease occurs in approximately 12-22% of pregnancies, and it is directly responsible for 17.6% of maternal deaths in the United States (1,2). However, there is confusion about the terminology and classification of these disorders. This bulletin will provide guidelines for the diagnosis and management of hypertensive disorders unique to pregnancy (ie, preeclampsia and eclampsia), as well as the various associated complications. Chronic hypertension has been discussed elsewhere (3).
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              New consensus nomenclature for mammalian keratins

              Keratins are intermediate filament–forming proteins that provide mechanical support and fulfill a variety of additional functions in epithelial cells. In 1982, a nomenclature was devised to name the keratin proteins that were known at that point. The systematic sequencing of the human genome in recent years uncovered the existence of several novel keratin genes and their encoded proteins. Their naming could not be adequately handled in the context of the original system. We propose a new consensus nomenclature for keratin genes and proteins that relies upon and extends the 1982 system and adheres to the guidelines issued by the Human and Mouse Genome Nomenclature Committees. This revised nomenclature accommodates functional genes and pseudogenes, and although designed specifically for the full complement of human keratins, it offers the flexibility needed to incorporate additional keratins from other mammalian species.
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                Author and article information

                Contributors
                lorenz.kuessel@meduniwien.ac.at
                harald.zeisler@meduniwien.ac.at
                robin.ristl@meduniwien.ac.at
                julia.binder@meduniwien.ac.at
                petra.pateisky@meduniwien.ac.at
                maximilian.schmid@meduniwien.ac.at
                julian.marschalek@meduniwien.ac.at
                thomas.perkmann@meduniwien.ac.at
                helmuth.haslacher@meduniwien.ac.at
                heinrich.husslein@meduniwien.ac.at
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                3 November 2016
                3 November 2016
                2016
                : 16
                : 339
                Affiliations
                [1 ]Department of Gynecology and Obstetrics, Medical University of Vienna, Waehringerguertel 18-20, A-1090 Vienna, Austria
                [2 ]Section for Medical Statistics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
                [3 ]Fetal Medicine Unit, St George’s Hospital, Blackshaw Road, London, SW17 0QT UK
                [4 ]Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
                Article
                1132
                10.1186/s12884-016-1132-4
                5096295
                27809797
                c65fd0ec-f1ba-49c3-a911-d7dbd4c1c5c3
                © The Author(s). 2016

                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.

                History
                : 2 July 2016
                : 25 October 2016
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Obstetrics & Gynecology
                preeclampsia,diagnosis,prediction,cyfra 21–1,cytokeratin-19,endothelial dysfunction

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