MALAT1 in colorectal cancer: Its implication as a diagnostic, prognostic, and predictive biomarker
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378041%3A_____%2F22%3A00567756" target="_blank" >RIV/68378041:_____/22:00567756 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11110/22:10446968 RIV/00216208:11140/22:10446968
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0378111922006102?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0378111922006102?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.gene.2022.146791" target="_blank" >10.1016/j.gene.2022.146791</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
MALAT1 in colorectal cancer: Its implication as a diagnostic, prognostic, and predictive biomarker
Popis výsledku v původním jazyce
Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1), originally described as a prognostic biomarker remarkably linked with metastasis potential in lung cancer, has been identified as contributing to many diseases, including colorectal cancer (CRC). This long non-coding RNA (lncRNA) has come to the forefront of lncRNA research for its implications in cancer-related processes, such as cell proliferation and migration. In general, lncRNAs are recognized as enhancers, scaffolds, or decoys for a variety of oncogenes and tumor sup-pressors, although our understanding of lncRNA functions and mechanisms of action is still limited. Nowadays, cancer research is attracted to lncRNAs' ability to improve the early diagnosis of cancer, determine patients' prognosis, or predict therapy outcomes. In this review, we aimed to evaluate recent publications trying to un-cover the cellular mechanisms of MALAT1-mediated regulation, and its potential exploitation in the management of CRC. The conclusions of this review provide robust support for the essential role of MALAT1 in CRC devel-opment and future personalized therapy.
Název v anglickém jazyce
MALAT1 in colorectal cancer: Its implication as a diagnostic, prognostic, and predictive biomarker
Popis výsledku anglicky
Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1), originally described as a prognostic biomarker remarkably linked with metastasis potential in lung cancer, has been identified as contributing to many diseases, including colorectal cancer (CRC). This long non-coding RNA (lncRNA) has come to the forefront of lncRNA research for its implications in cancer-related processes, such as cell proliferation and migration. In general, lncRNAs are recognized as enhancers, scaffolds, or decoys for a variety of oncogenes and tumor sup-pressors, although our understanding of lncRNA functions and mechanisms of action is still limited. Nowadays, cancer research is attracted to lncRNAs' ability to improve the early diagnosis of cancer, determine patients' prognosis, or predict therapy outcomes. In this review, we aimed to evaluate recent publications trying to un-cover the cellular mechanisms of MALAT1-mediated regulation, and its potential exploitation in the management of CRC. The conclusions of this review provide robust support for the essential role of MALAT1 in CRC devel-opment and future personalized therapy.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10601 - Cell biology
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Gene
ISSN
0378-1119
e-ISSN
1879-0038
Svazek periodika
843
Číslo periodika v rámci svazku
aug
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
8
Strana od-do
146791
Kód UT WoS článku
000848450000001
EID výsledku v databázi Scopus
2-s2.0-85135889646