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1.
Int J Genomics ; 2023: 4971345, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36880057

RESUMO

This study searched for aging-related genes (ARGs) to predict the prognosis of patients with cervical cancer (CC). All data were obtained from Molecular Signatures Database, Cancer Genome Atlas, Gene Expression Integration, and Genotype Organization Expression. The R software was used to screen out the differentially expressed ARGs (DE-ARGs) between CC and normal tissues. A protein-protein interaction network was established by the DE-ARGs. The univariate and multivariate Cox regression analyses were conducted on the first extracted Molecular Complex Detection component, and a prognostic model was constructed. The prognostic model was further validated in the testing set and GSE44001 dataset. Prognosis was analyzed by Kaplan-Meier curves, and accuracy of the prognostic model was assessed by receiver operating characteristic area under the curve analysis. An independent prognostic analysis of risk score and some clinicopathological factors of CC was also performed. The copy-number variant (CNV) and single-nucleotide variant (SNV) of prognostic ARGs were analyzed by the BioPortal database. A clinical practical nomogram was established to predict individual survival probability. Finally, we carried out cell experiment to further verify the prognostic model. An eight-ARG prognostic signature for CC was constructed. High-risk CC patients had significantly shorter overall survival than low-risk patients. The receiver operating characteristic (ROC) curve validated the good performance of the signature in survival prediction. The Figo_stage and risk score served as independent prognostic factors. The eight ARGs mainly enriched in growth factor regulation and cell cycle pathway, and the deep deletion of FN1 was the most common CNV. An eight-ARG prognostic signature for CC was successfully constructed.

2.
Lab Med ; 54(4): 392-399, 2023 Jul 05.
Artigo em Inglês | MEDLINE | ID: mdl-36355580

RESUMO

OBJECTIVE: The purpose of this study was to evaluate the diagnostic performance of the following hemostatic markers in hypertensive disorder of pregnancy (HDP): tissue-type plasminogen activator and inhibitor-1 complex (tPAI-C), thrombomodulin, thrombin-antithrombin complex, plasmin inhibitor-plasmin complex, D-dimer, and fibrinogen degradation products. METHODS: A total of 311 individuals diagnosed with HDP and 187 healthy controls (HC) of matched gestational age were admitted, including 175 subjects with gestational hypertension, 94 with mild preeclampsia, and 42 with severe preeclampsia. RESULTS: Compared with those of the HC group, the plasma concentrations of all the hemostatic markers continuously increased with the clinical severity of the hypertensive disorder, regardless of their statistical significance. In the receiver operating characteristic analysis, tPAI-C displayed the best discrimination performance. CONCLUSION: The tPAI-C level was consistently and significantly elevated across the different HDP groups when compared with the HC group, suggesting aggravated fibrinolysis disorder increasing with the severity of the HDP.


Assuntos
Hemostáticos , Hipertensão , Pré-Eclâmpsia , Gravidez , Feminino , Humanos , Fibrinólise , Hemostáticos/farmacologia , Estudos Retrospectivos , Estudos de Casos e Controles , Produtos de Degradação da Fibrina e do Fibrinogênio/metabolismo , Produtos de Degradação da Fibrina e do Fibrinogênio/farmacologia
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