Identification of prognostic long non-coding RNA signature with potential drugs in hepatocellular carcinoma.
Biomarkers, Tumor
/ analysis
Carcinoma, Hepatocellular
/ genetics
Cell Line, Tumor
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Liver
/ pathology
Liver Neoplasms
/ genetics
Male
Predictive Value of Tests
RNA, Long Noncoding
/ analysis
ROC Curve
Risk Factors
Survival Analysis
drug response
hepatocellular carcinoma
long non-coding RNA
prognosis
Journal
Aging
ISSN: 1945-4589
Titre abrégé: Aging (Albany NY)
Pays: United States
ID NLM: 101508617
Informations de publication
Date de publication:
20 07 2021
20 07 2021
Historique:
received:
01
06
2021
accepted:
05
07
2021
pubmed:
22
7
2021
medline:
15
12
2021
entrez:
21
7
2021
Statut:
ppublish
Résumé
Hepatocellular carcinoma (HCC) is the primary malignancy in the liver with high rate of death and recurrence. Novel prognostic model would be crucial for early diagnosis and improved clinical decision. The study aims to provide an effective lncRNA-based signature to predict survival time and tumor recurrence for HCC. Based on public database, lncRNA-based classifiers for overall survival and tumor recurrence were built with regression analysis and cross validation strategy. According to the risk-score of the classifiers, the whole cohorts were divided into groups with high and low risk. Afterwards, the efficiency of the lncRNA-based classifiers was evaluated and compared with other clinical factors. Finally, candidate small molecules for high risk groups were further screened using drug response databases to explore potential drugs for HCC treatment.
Identifiants
pubmed: 34285143
pii: 203322
doi: 10.18632/aging.203322
pmc: PMC8351707
doi:
Substances chimiques
Biomarkers, Tumor
0
RNA, Long Noncoding
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
18789-18805Références
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