miR-497-5p Decreased Expression Associated with High-Risk Endometrial Cancer

Autor: Bozena Smolkova, Ivana Fridrichova, Karol Kajo, Nataliia Nikolaieva, Miloslav Karhanek, Lenka Wachsmannova, Katarina Machalekova, Lenka Kalinkova
Rok vydání: 2020
Předmět:
0301 basic medicine
Oncology
machine learning evaluation
Uterus
medicine.disease_cause
lcsh:Chemistry
Machine Learning
Endometrium
0302 clinical medicine
Mucinous carcinoma
lcsh:QH301-705.5
Spectroscopy
Aged
80 and over
General Medicine
Middle Aged
Prognosis
Adenocarcinoma
Mucinous
Computer Science Applications
Gene Expression Regulation
Neoplastic
Serous fluid
medicine.anatomical_structure
030220 oncology & carcinogenesis
Immunohistochemistry
Female
Carcinoma
Endometrioid
serous endometrial carcinoma
Adult
medicine.medical_specialty
rare subtypes of endometrial carcinoma
Article
Catalysis
Inorganic Chemistry
03 medical and health sciences
Internal medicine
microRNA
medicine
Humans
endometrioid endometrial carcinoma
Physical and Theoretical Chemistry
Molecular Biology
Aged
business.industry
Gene Expression Profiling
Endometrial cancer
Carcinoma
Organic Chemistry
miR-497-5p expression
medicine.disease
Cystadenocarcinoma
Serous
Endometrial Neoplasms
MicroRNAs
030104 developmental biology
lcsh:Biology (General)
lcsh:QD1-999
Carcinogenesis
business
Clear cell
Adenocarcinoma
Clear Cell
Zdroj: International Journal of Molecular Sciences
International Journal of Molecular Sciences, Vol 22, Iss 127, p 127 (2021)
Volume 22
Issue 1
ISSN: 1422-0067
DOI: 10.3390/ijms22010127
Popis: The current guidelines for diagnosis, prognosis, and treatment of endometrial cancer (EC), based on clinicopathological factors, are insufficient for numerous reasons
therefore, we investigated the relevance of miRNA expression profiles for the discrimination of different EC subtypes. Among the miRNAs previously predicted to allow distinguishing of endometrioid ECs (EECs) according to different grades (G) and from serous subtypes (SECs), we verified the utility of miR-497-5p. In ECs, we observed downregulated miR-497-5p levels that were significantly decreased in SECs, clear cell carcinomas (CCCs), and carcinosarcomas (CaSas) compared to EECs, thereby distinguishing EEC from SEC and rare EC subtypes. Significantly reduced miR-497-5p expression was found in high-grade ECs (EEC G3, SEC, CaSa, and CCC) compared to low-grade carcinomas (EEC G1 and mucinous carcinoma) and ECs classified as being in advanced FIGO (International Federation of Gynecology and Obstetrics) stages, that is, with loco-regional and distant spread compared to cancers located only in the uterus. Based on immunohistochemical features, lower miR-497-5p levels were observed in hormone-receptor-negative, p53-positive, and highly Ki-67-expressing ECs. Using a machine learning method, we showed that consideration of miR-497-5p expression, in addition to the traditional clinical and histopathologic parameters, slightly improves the prediction accuracy of EC diagnosis. Our results demonstrate that changes in miR-497-5p expression influence endometrial tumorigenesis and its evaluation may contribute to more precise diagnoses.
Databáze: OpenAIRE
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