Small RNA Sequencing Identifies a Six-MicroRNA Signature
Enabling Classification of Brain Metastases According to their
Origin

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Přehled o publikaci

J 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.

Základní údaje

Originální název

Small RNA Sequencing Identifies a Six-MicroRNA Signature Enabling Classification of Brain Metastases According to their Origin

Autoři

Vydání

PROTEOMICS, ATHENS, INT INST ANTICANCER RESEARCH, 2023, 1109-6535

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Stát vydavatele

Řecko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/00216224:14740/23:00131080

Organizace

Středoevropský technologický institut – Masarykova univerzita – Repozitář

DOI

https://doi.org/10.21873/cgp.20361

UT WoS

000907315600003

EID Scopus

2-s2.0-85145114489

Klíčová slova anglicky

Brain metastases; microRNA; small RNA sequencing; classifier; diagnosis

Návaznosti

LX22NPO5102, projekt VaV. LX22NPO5107, projekt VaV. NV18-03-00398, projekt VaV. NCMG II, velká výzkumná infrastruktura.

Změněno: 16. 10. 2024 00:50, RNDr. Daniel Jakubík

Anotace

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.

Přiložené soubory

https://is.muni.cz/publication/2293483/Small_RNA_Sequencing_Identifies_a_Six-MicroRNA_Signature_Enabling_Classification_of_Brain_Metastases_According_to_their_Origin.pdf

Citovat

ROŠKOVÁ, Ivana; Marek VEČEŘA; Lenka RADOVÁ; Karolína TRACHTOVÁ; František SIEGL; Markéta HERMANOVÁ; Michal HENDRYCH; Leoš KŘEN; Václav VYBÍHAL; Hana VALEKOVÁ; Petra KASPAROVA; Ivana KOLOUŠKOVÁ; Tomáš KAZDA; Ondřej SLABÝ; Radim JANČÁLEK; Jiří ŠÁNA a Martin SMRČKA. Small RNA Sequencing Identifies a Six-MicroRNA Signature Enabling Classification of Brain Metastases According to their Origin. PROTEOMICS. ATHENS: INT INST ANTICANCER RESEARCH, 2023, roč. 20, č. 1, s. 18-29. ISSN 1109-6535. Dostupné z: https://doi.org/10.21873/cgp.20361.

@article{56511,
   author = {Rošková, Ivana and Večeřa, Marek and Radová, Lenka and Trachtová, Karolína and Siegl, František and Hermanová, Markéta and Hendrych, Michal and Křen, Leoš and Vybíhal, Václav and Valeková, Hana and Kasparova, Petra and Koloušková, Ivana and Kazda, Tomáš and Slabý, Ondřej and Jančálek, Radim and Šána, Jiří and Smrčka, Martin},
   article_location = {ATHENS},
   article_number = {1},
   doi = {https://doi.org/10.21873/cgp.20361},
   keywords = {Brain metastases; microRNA; small RNA sequencing; classifier; diagnosis},
   language = {eng},
   issn = {1109-6535},
   journal = {PROTEOMICS},
   title = {Small RNA Sequencing Identifies a Six-MicroRNA Signature Enabling Classification of Brain Metastases According to their Origin},
   url = {https://cgp.iiarjournals.org/content/20/1/18},
   volume = {20},
   year = {2023}
}

TY  - JOUR
ID  - 56511
AU  - Rošková, Ivana - Večeřa, Marek - Radová, Lenka - Trachtová, Karolína - Siegl, František - Hermanová, Markéta - Hendrych, Michal - Křen, Leoš - Vybíhal, Václav - Valeková, Hana - Kasparova, Petra - Koloušková, Ivana - Kazda, Tomáš - Slabý, Ondřej - Jančálek, Radim - Šána, Jiří - Smrčka, Martin
PY  - 2023
TI  - Small RNA Sequencing Identifies a Six-MicroRNA Signature Enabling Classification of Brain Metastases According to their Origin
JF  - PROTEOMICS
VL  - 20
IS  - 1
SP  - 18-29
EP  - 18-29
PB  - INT INST ANTICANCER RESEARCH
SN  - 1109-6535
KW  - Brain metastases
KW  - microRNA
KW  - small RNA sequencing
KW  - classifier
KW  - diagnosis
UR  - https://cgp.iiarjournals.org/content/20/1/18
N2  - 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.
ER  -

ROŠKOVÁ, Ivana; Marek VEČEŘA; Lenka RADOVÁ; Karolína TRACHTOVÁ; František SIEGL; Markéta HERMANOVÁ; Michal HENDRYCH; Leoš KŘEN; Václav VYBÍHAL; Hana VALEKOVÁ; Petra KASPAROVA; Ivana KOLOUŠKOVÁ; Tomáš KAZDA; Ondřej SLABÝ; Radim JANČÁLEK; Jiří ŠÁNA a Martin SMRČKA. Small RNA Sequencing Identifies a Six-MicroRNA Signature Enabling Classification of Brain Metastases According to their Origin. \textit{PROTEOMICS}. ATHENS: INT INST ANTICANCER RESEARCH, 2023, roč.~20, č.~1, s.~18-29. ISSN~1109-6535. Dostupné z: https://doi.org/10.21873/cgp.20361.