Přehled o publikaci
2023
Small RNA Sequencing Identifies a Six-MicroRNA Signature Enabling Classification of Brain Metastases According to their Origin
ROŠKOVÁ, Ivana, Marek VEČEŘA, Lenka RADOVÁ, Karolína TRACHTOVÁ, František SIEGL et. al.Basic information
Original name
Small RNA Sequencing Identifies a Six-MicroRNA Signature Enabling Classification of Brain Metastases According to their Origin
Authors
ROŠKOVÁ, Ivana (703 Slovakia, belonging to the institution), Marek VEČEŘA (703 Slovakia, belonging to the institution), Lenka RADOVÁ (203 Czech Republic, belonging to the institution), Karolína TRACHTOVÁ (203 Czech Republic, belonging to the institution), František SIEGL (203 Czech Republic, belonging to the institution), Markéta HERMANOVÁ (203 Czech Republic, belonging to the institution), Michal HENDRYCH (203 Czech Republic, belonging to the institution), Leoš KŘEN (203 Czech Republic), Václav VYBÍHAL (203 Czech Republic, belonging to the institution), Hana VALEKOVÁ (703 Slovakia, belonging to the institution), Petra KASPAROVA (203 Czech Republic), Ivana KOLOUŠKOVÁ (203 Czech Republic, belonging to the institution), Tomáš KAZDA (203 Czech Republic, belonging to the institution), Ondřej SLABÝ (203 Czech Republic, belonging to the institution), Radim JANČÁLEK (203 Czech Republic, belonging to the institution), Jiří ŠÁNA (203 Czech Republic, guarantor, belonging to the institution) and Martin SMRČKA (203 Czech Republic, belonging to the institution)
Edition
PROTEOMICS, ATHENS, INT INST ANTICANCER RESEARCH, 2023, 1109-6535
Other information
Language
English
Type of outcome
Article in a journal
Country of publisher
Greece
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/00216224:14740/23:00131080
Organization
Středoevropský technologický institut – Repository – Repository
UT WoS
000907315600003
EID Scopus
2-s2.0-85145114489
Keywords in English
Brain metastases; microRNA; small RNA sequencing; classifier; diagnosis
Links
LX22NPO5102, research and development project. LX22NPO5107, research and development project. NV18-03-00398, research and development project. NCMG II, large research infrastructures.
Changed: 16/10/2024 00:50, RNDr. Daniel Jakubík
Abstract
V originále
lt;0.001). A classifier model was developed based on the expression of 6 miRNAs (hsa-miR-141-3p, hsa-miR-141-5p, hsa-miR-146a-5p, hsa-miR-194-5p, hsa-miR-200b-3p and hsa-miR-365b-5p) with the ability to correctly classify 91.5% of samples. Subsequent validation confirmed both significantly different expression of selected miRNAs in 5 BM groups as well as their diagnostic potential. Conclusion: To date, our study is the first to analyze miRNA expression in various types of BMs using small RNA sequencing to develop a diagnostic classifier and, thus, to help stratify BMs of unknown primary. The presented results confirm the importance of studying the dysregulated expression of miRNAs in BMs and the diagnostic potential of the validated 6-miRNA signature.
