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1.
J Obstet Gynaecol Res ; 48(9): 2442-2451, 2022 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-35778814

RESUMO

OBJECTIVES: Carbohydrate antigen 125 (CA125), CA19-9, carcinoembryonic antigen (CEA), human epididymis protein 4 (HE4), and the Risk of Ovarian Malignancy Algorithm (ROMA) are widely used as tumor markers and algorithms for the diagnosis of ovarian cancer (OC). Tissue factor pathway inhibitor 2 (TFPI2) has been developed as a potential serodiagnostic marker for OC in Japan. The aim of this study is to evaluate the diagnostic accuracy of the six markers alone and in combination to find the best marker for discriminating between benign and malignant ovarian tumors. METHODS: Frozen serum samples collected from 484 patients were divided into three groups based on histopathological results: OC (n = 119), borderline ovarian tumors (BR) (n = 48), and benign ovarian tumors (BN) (n = 317). Diagnostic accuracy was calculated with an area under a receiver operating characteristic (AUC) curve. RESULTS: TFPI2 achieved the highest discrimination between the OC + BR group versus the BN group (AUC 0.8076). ROMA values best discriminated patients with OC from those with BN (AUC, 0.8966), which was equivalent to TFPI2 (AUC, 0.8937). For discriminating the OC group from the BR + BN group, the highest AUC value was achieved by ROMA values (AUC, 0.8884), and TFPI2 also showed comparable diagnostic accuracy (AUC, 0.8845). Combining TFPI2 with ROMA had the highest AUC (0.8420-0.9357). CONCLUSION: TFPI2 may be a clinically useful single marker comparable to conventional ROMA values for discriminating between benign and malignant ovarian tumors.


Assuntos
Antígeno Ca-125 , Neoplasias Ovarianas , Algoritmos , Biomarcadores Tumorais , Carcinoma Epitelial do Ovário/diagnóstico , Feminino , Humanos , Lipoproteínas , Neoplasias Ovarianas/diagnóstico , Curva ROC
2.
Gynecol Obstet Invest ; 87(2): 133-140, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35613543

RESUMO

OBJECTIVES: Patients with asymptomatic venous thromboembolism (VTE) are associated with an increased risk of pulmonary thromboembolism events. However, due to low specificity and high false-positive rates, D-dimer testing cannot be used alone to diagnose VTE. Tissue factor pathway inhibitor 2 (TFPI2), a new serodiagnostic marker for ovarian cancer, plays a role in blood coagulation system regulation. We hypothesized that combining D-dimer and TFPI2 would improve its utility in diagnosing VTE. This study aimed to look into the clinical utility of serum D-dimer and TFPI2 levels in detecting asymptomatic VTE in patients with epithelial ovarian cancer (EOC). DESIGN: From January 2008 to December 2015, researchers at Nara Medical University Hospital's Department of Gynecology conducted a single-center retrospective study. The receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic value of preoperative D-dimer, TFPI2, and D-dimer combined with TFPI2 in distinguishing VTE patients from those who did not have VTE. PARTICIPANTS: This study included 122 patients with EOC who met the inclusion and exclusion criteria out of 223 admitted to the hospital with EOC. The patients were divided into two groups: VTE (n = 25) and non-VTE (n = 97). RESULTS: There were significant differences in D-dimer, TFPI2, and CA125 levels and residual tumor between the VTE and non-VTE groups. The D-dimer level was found to be significantly related to age, body mass index, VTE, massive ascites, residual tumor, histology, and Federation of Gynecology and Obstetrics stage, whereas the TFPI2 level was only related to VTE. Multivariate analysis revealed that D-dimer (the optimal cutoff value, 3.5 µg/mL) and TFPI2 (the optimal cutoff value, 400 pg/mL) are independent risk factors for preoperative VTE. ROC analysis revealed that the area under the curve was 0.8266 for D-dimer, 0.7963 for TFPI2, and 0.8495 for the combination of D-dimer and TFPI2. When compared to the D-dimer test alone, the combination of D-dimer and TFPI2 had higher specificity (77.3-96.9%) and positive predictive value (48.8-81.2%) for the diagnosis of VTE. LIMITATIONS: This is a single-center retrospective study. CONCLUSION: The combination of D-dimer and TFPI2 may be useful to safely exclude VTE and select patients at high risk of VTE.


Assuntos
Neoplasias Ovarianas , Tromboembolia Venosa , Antígeno Ca-125 , Carcinoma Epitelial do Ovário/cirurgia , Feminino , Humanos , Lipoproteínas , Neoplasia Residual , Neoplasias Ovarianas/diagnóstico , Estudos Retrospectivos , Tromboembolia Venosa/diagnóstico , Tromboembolia Venosa/etiologia
3.
Mol Clin Oncol ; 16(2): 46, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-35003744

RESUMO

Tissue factor pathway inhibitor 2 (TFPI2) is a serodiagnostic marker for epithelial ovarian cancer (EOC) and is the primary inhibitor of the extrinsic coagulation pathway. The present study assessed the diagnostic performance of TFPI2 for detecting venous thromboembolism (VTE) in patients with EOC and positive D-dimer results (>1.0 µg/ml). First, the clinical data of 81 patients with EOC admitted to Nara Medical University Hospital between January 2008 and December 2015 were collected. Also, 25 patients with VTE and 56 patients without VTE were included. Receiver-operating characteristic (ROC) curve analyses were performed to determine the diagnostic efficacy of TFPI2 in discriminating patients with VTE from those without VTE. Serum TFPI2 levels in patients with VTE were significantly higher than in non-VTE patients (median, 472.2 vs. 279.1 pg/ml, P<0.001). Using the Youden index, the optimal cutoff value for the TFPI2 level was set at 398.9 pg/ml. Furthermore, the sensitivity, specificity, positive predictive value and negative predictive value of TFPI2 for diagnosing VTE were 64.0, 80.4, 59.3 and 83.3%, respectively. Additionally, 80.4% of patients with TFPI2 levels <398.9 pg/ml were VTE-negative. ROC analysis demonstrated that the area under the curve for TFPI2 was 0.729 (95% confidence interval, 0.614-0.844). Conclusively, TFPI2 may distinguish patients with VTE from those without VTE among patients with EOC and positive D-dimer results.

4.
J Proteomics ; 231: 104005, 2021 01 16.
Artigo em Inglês | MEDLINE | ID: mdl-33035715

RESUMO

Phos-tag diagonal electrophoresis was developed to identify precisely a change in electrophoretic mobility of phosphoproteins in Phos-tag SDS-PAGE. Previously, if a single protein band was detected, it was impossible to determine whether mobility of the protein altered by Mn2+ Phos-tag in Phos-tag SDS-PAGE gels because SDS-PAGE and Phos-tag SDS-PAGE were performed on different gels. Moreover, when multiple protein bands were detected, it was difficult to determine whether the band with the highest mobility was altered mobility by Mn2+ Phos-tag. However, these problems were resolved by Phos-tag diagonal electrophoresis in which SDS-PAGE and Phos-tag SDS-PAGE patterns were provided on a single gel. Using this technique we identified phosphorylation states of various proteins such as α-lactalbumin, α- and ß-casein, ovalbumin, basic 7S globulin, and 26S proteasome subunits. In the analyses of 26S proteasome subunits from humans and yeast, we could confirm that all subunits are phosphorylated, and find that the number of major proteins with different phosphorylation states is a few in each of the subunits despite having many phosphorylation sites. SIGNIFICANCE: Previously, Phos-tag SDS-PAGE has been developed to identify a change in electrophoretic mobility of phosphoproteins. However, we had a problem in this technique; it was often difficult to recognize the mobility shift by Mn2+ Phos-tag when we used separately SDS-PAGE and Phos-tag SDS-PAGE. Such a problem was resolved by Phos-tag diagonal electrophoresis in which SDS-PAGE and Phos-tag SDS-PAGE patterns are provided on a single gel. This technique was useful to identify phosphorylation states of various proteins. : Phos-tag diagonal electrophoresis, mass spectrometry, phosphoproteins, basic 7S globulin, proteasome.


Assuntos
Fosfoproteínas , Piridinas , Eletroforese em Gel de Poliacrilamida , Humanos , Fosfoproteínas/metabolismo , Fosforilação
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