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.
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http://dx.doi.org/10.32471/exp-oncology.2312-8852.vol-44-no-3.18513 | DOI Listing |
Brief Bioinform
November 2024
School of Medicine, Institute of Biomedicine, University of Eastern Finland, Yliopistonranta 1, PO Box 1627, 70211 Kuopio, Finland.
The selection of biomarker panels in omics data, challenged by numerous molecular features and limited samples, often requires the use of machine learning methods paired with wrapper feature selection techniques, like genetic algorithms. They test various feature sets-potential biomarker solutions-to fine-tune a machine learning model's performance for supervised tasks, such as classifying cancer subtypes. This optimization process is undertaken using validation sets to evaluate and identify the most effective feature combinations.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Clinical Laboratory, Qilu Hospital, Shandong University, Jinan, Shandong, China.
Background: Preoperative determination of muscular infiltration is crucial for appropriate treatment planning in patients with muscle-invasive bladder cancer (MIBC). We aimed to explore early diagnostic biomarkers in serum for MIBC in this study.
Methods: The expression profiles of long noncoding RNA (lncRNA) were initially screened by high-throughput sequencing and evaluation of potential lncRNAs were conducted by two phases of RT-qPCR assays using serum samples from 190 patients with MIBC and 190 non-muscle-invasive BC (NMIBC) patients.
Background: Cancer remains a leading cause of mortality worldwide. A non-invasive screening solution was required for early diagnosis of cancer. Multi-cancer early detection (MCED) tests have been considered to address the challenge by simultaneously identifying multiple types of cancer within a single test using minimally invasive blood samples.
View Article and Find Full Text PDFCureus
November 2024
Department of Oral Pathology and Microbiology, Manav Rachna Dental College, Faridabad, IND.
Introduction Oral verrucous carcinoma (OVC), a low-grade variation of oral squamous cell carcinoma (OSCC), is distinguished by endophytic development and a pebbly, mammillated surface. OVC, often referred to as Ackerman's tumor, has been known to involve lymph nodes but rarely spreads to regional and distant locations; when the primary tumor grows, it frequently involves surrounding tissues. Histopathologically, it has a thicker basement membrane, many reduplications, and a large area of inflammatory infiltration that resembles OSCC.
View Article and Find Full Text PDFDrug Chem Toxicol
December 2024
School of Nursing, Autonomous University of Zacatecas, Zacatecas, México.
Polycyclic aromatic hydrocarbons (PAHs) are an organic chemical family produced during incomplete combustion of organic materials. Besides, PAHs are associated with different detrimental health effects. Therefore, this research was aimed to assess the association between PAHs exposure, metabolic syndrome (MetS) prevalence, and cardiovascular risk in a Mexican population.
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