CYFRA 21-1 in urine: a diagnostic marker for&amp;nbsp;endometriosis?

Gjavotchanoff, Risto

doi:10.2147/ijwh.s75288

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…First, the menstrual cycle may cause fluctuations in multiple endocrines. Studies have described the effect of endocrine levels on the tumour marker levels [ 24 – 27 ]. The level of the well-known tumour marker CA125 is mainly elevated during the menstrual cycle.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, AFP is reported to be elevated during some specific period or situation of pregnancy [ 25 ]. Furthermore, diseases specifically affecting women, such as benign uterus diseases, pelvis inflammatory diseases, or benign breast tissue diseases, are involved in the activation of epithelial cells [ 26 , 27 ]. All these diseases may cause elevation of epithelium-associated tumour markers in noncancerous diseases.…”

Section: Discussionmentioning

confidence: 99%

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Cancers Screening in an Asymptomatic Population by Using Multiple Tumour Markers

et al. 2016

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BackgroundAnalytic measurement of serum tumour markers is one of commonly used methods for cancer risk management in certain areas of the world (e.g. Taiwan). Recently, cancer screening based on multiple serum tumour markers has been frequently discussed. However, the risk–benefit outcomes appear to be unfavourable for patients because of the low sensitivity and specificity. In this study, cancer screening models based on multiple serum tumour markers were designed using machine learning methods, namely support vector machine (SVM), k-nearest neighbour (KNN), and logistic regression, to improve the screening performance for multiple cancers in a large asymptomatic population.MethodsAFP, CEA, CA19-9, CYFRA21-1, and SCC were determined for 20 696 eligible individuals. PSA was measured in men and CA15-3 and CA125 in women. A variable selection process was applied to select robust variables from these serum tumour markers to design cancer detection models. The sensitivity, specificity, positive predictive value (PPV), negative predictive value, area under the curve, and Youden index of the models based on single tumour markers, combined test, and machine learning methods were compared. Moreover, relative risk reduction, absolute risk reduction (ARR), and absolute risk increase (ARI) were evaluated.ResultsTo design cancer detection models using machine learning methods, CYFRA21-1 and SCC were selected for women, and all tumour markers were selected for men. SVM and KNN models significantly outperformed the single tumour markers and the combined test for men. All 3 studied machine learning methods outperformed single tumour markers and the combined test for women. For either men or women, the ARRs were between 0.003–0.008; the ARIs were between 0.119–0.306.ConclusionMachine learning methods outperformed the combined test in analysing multiple tumour markers for cancer detection. However, cancer screening based solely on the application of multiple tumour markers remains unfavourable because of the inadequate PPV, ARR, and ARI, even when machine learning methods were incorporated into the analysis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Cancers Screening in an Asymptomatic Population by Using Multiple Tumour Markers

et al. 2016

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“…Consequently, many researchers strive to diagnose endometriosis with the use of non-invasively available biological materials: plasma, serum, endometrium bioptates, and urine. However, these studies are limited in terms of small groups of patients, which translates into a low quality of obtained data (16,17) .…”

Section: Diagnostyka Endometriozy Z Poziomu Endometriummentioning

confidence: 99%

“…W związku z tym liczni badacze podejmują próby diagnozowania endometriozy z wykorzystaniem dostępnych nieinwazyjnie materiałów biologicznych: osocza, surowicy, bioptatów endometrium, moczu. Badania są jednak limitowane małymi grupami chorych, co przekłada się na niską jakość uzyskiwanych danych (16,17) .…”

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Is it possible to diagnose endometriosis at the level of endometrium?

Szubert¹,

Ziętara²,

Suzin³

2016

Curr. Gynecol. Oncol.

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Endometrium pacjentek z endometriozą charakteryzuje się inną ekspresją cytokin, czynników angiogennych i hormonalnych niż u kobiet zdrowych. Endometrioza występuje głównie u kobiet w wieku reprodukcyjnym, z częstością około 7-10%. Mimo wielu badań i hipotez dotyczących patogenezy nie wykryto dotychczas swoistego markera dla endometriozy. Złotym standardem diagnostycznym, zwłaszcza w przypadku postaci otrzewnowej, której nie udaje się uwidocznić w badaniu ultrasonograficznym, pozostaje laparoskopia. Inne formy endometriozy-jajnikową (torbiele czekoladowe) i głęboko naciekającą-można rozpoznać w badaniu ultrasonograficznym. Obecnie poszukuje się markerów, które w określonej kombinacji zapewniłyby maksymalną czułość i swoistość nieinwazyjnego wykrywania endometriozy, nawet we wczesnych stadiach. Czułość oznaczeń wykonywanych z krwi nie jest niestety satysfakcjonująca w odniesieniu do otrzewnowej postaci choroby. W artykule zaprezentowano potencjalne cele diagnostyczne-wybrane czynniki wykrywane w endometrium, czyli interleukinę 8, czynnik wzrostu śródbłonka naczyniowego, płytkopochodny czynnik wzrostu i czynnik wzrostu nerwów. Pobranie endometrium do badań jest łatwe i może być wykonywane ambulatoryjnie. Diagnozowanie z poziomu endometrium ułatwiłoby rozpoznawanie endometriozy i znacząco zmniejszyło koszty związane z koniecznością przeprowadzania laparoskopii.

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Urinary biomarkers for the non-invasive diagnosis of endometriosis

Liu

Nisenblat

Farquhar

et al. 2015

Cochrane Database of Systematic Reviews

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There was insufficient evidence to recommend any urinary biomarker for use as a replacement or triage test in clinical practice for the diagnosis of endometriosis. Several urinary biomarkers may have diagnostic potential, but require further evaluation before being introduced into routine clinical practice. Laparoscopy remains the gold standard for the diagnosis of endometriosis, and diagnosis of endometriosis using urinary biomarkers should only be undertaken in a research setting.

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CYFRA 21-1 in urine: a diagnostic marker for endometriosis?

Cited by 8 publications

References 31 publications

Cancers Screening in an Asymptomatic Population by Using Multiple Tumour Markers

Cancers Screening in an Asymptomatic Population by Using Multiple Tumour Markers

Is it possible to diagnose endometriosis at the level of endometrium?

Urinary biomarkers for the non-invasive diagnosis of endometriosis

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