Experimental oncology · 2022
VALIDATION OF A PANEL OF BIOMARKERS ASSOCIATED WITH AGGRESSIVE PHENOTYPE OF ENDOMETRIOID CARCINOMA OF ENDOMETRIUM.
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Buchynska L G, Iurchenko N P, Nesina I P, Glushchenko N M
Аннотация
AIM: To evaluate the prognostic significance of a panel of biomarkers for the identification of a highly malignant molecular subtype of endometrioid carcinoma of the endometrium (ECE).
MATERIALS AND METHODS: The expression of a number of markers (CD24, CD44, E2F1, FOXP3, Her2/neu, p21WAF1/CIP1, p53, β-catenin, vimentin, Е-cadherin, с-Myc, cyclins D1 and Е1) was determined by the immunohistochemical method in the samples of resected tumors of 127 patients with ECE of I-II stage. The Kullback method and the PanelomiX web tool were used to assess the informativeness and identify the aggressive subtype of ECE. The associative relationships of the studied markers were determined using the STRING v11 database.
RESULTS: The study of the prognostic significance of a number of biomarkers in ECE has revealed the informativeness, high specificity and sensitivity (> 95%) of the р53+FOXP3-c-Myc+ phenotype, which is associated with a more aggressive tumor process. Bioinformatics analysis confirmed the correlative relationships between p53, FOXP3 and c-Myc, which are significant prognostic markers associated with cancer progression in ECE patients.
CONCLUSIONS: The identified molecular phenotype of ECE (р53+FOXP3-c-Myc+) has differential and prognostic significance and objectively reflects a highly malignant subtype of this form of cancer.
MATERIALS AND METHODS: The expression of a number of markers (CD24, CD44, E2F1, FOXP3, Her2/neu, p21WAF1/CIP1, p53, β-catenin, vimentin, Е-cadherin, с-Myc, cyclins D1 and Е1) was determined by the immunohistochemical method in the samples of resected tumors of 127 patients with ECE of I-II stage. The Kullback method and the PanelomiX web tool were used to assess the informativeness and identify the aggressive subtype of ECE. The associative relationships of the studied markers were determined using the STRING v11 database.
RESULTS: The study of the prognostic significance of a number of biomarkers in ECE has revealed the informativeness, high specificity and sensitivity (> 95%) of the р53+FOXP3-c-Myc+ phenotype, which is associated with a more aggressive tumor process. Bioinformatics analysis confirmed the correlative relationships between p53, FOXP3 and c-Myc, which are significant prognostic markers associated with cancer progression in ECE patients.
CONCLUSIONS: The identified molecular phenotype of ECE (р53+FOXP3-c-Myc+) has differential and prognostic significance and objectively reflects a highly malignant subtype of this form of cancer.