Combinatorial Gene Expression Profiling of Serum HULC, HOTAIR, and UCA1 lncRNAs to Differentiate Hepatocellular Carcinoma from Liver Diseases: A Systematic Review and Meta-Analysis.
Int J Mol Sci
; 25(2)2024 Jan 19.
Article
in En
| MEDLINE
| ID: mdl-38279264
ABSTRACT
Hepatocellular carcinoma (HCC) presents a significant global health challenge due to limited early detection methods, primarily relying on conventional approaches like imaging and alpha-fetoprotein (AFP). Although non-coding RNAs (ncRNAs) show promise as potential biomarkers in HCC, their true utility remains uncertain. We conducted a comprehensive review of 76 articles, analyzing 88 circulating lncRNAs in 6426 HCC patients. However, the lack of a standardized workflow protocol has hampered holistic comparisons across the literature. Consequently, we herein confined our meta-analysis to only a subset of these lncRNAs. The combined analysis of serum highly upregulated in liver cancer (HULC) gene expression with homeobox transcript antisense intergenic RNA (HOTAIR) and urothelial carcinoma-associated 1 (UCA1) demonstrated markedly enhanced sensitivity and specificity in diagnostic capability compared to traditional biomarkers or other ncRNAs. These findings could have substantial implications for the early diagnosis and tailored treatment of HCC.
Key words
Full text:
1
Database:
MEDLINE
Main subject:
Urinary Bladder Neoplasms
/
Carcinoma, Transitional Cell
/
Carcinoma, Hepatocellular
/
RNA, Long Noncoding
/
Liver Neoplasms
Type of study:
Diagnostic_studies
/
Guideline
/
Screening_studies
/
Systematic_reviews
Language:
En
Journal:
Int J Mol Sci
Year:
2024
Type:
Article
Affiliation country:
Thailand