Combinatorial Gene Expression Profiling of Serum HULC , HOTAIR , and UCA1 lncRNAs to Differentiate Hepatocellular Carcinoma from Liver Diseases: A Systematic Review and Meta-Analysis.
Lalita LumkulPhatcharida JantareeKritsada JaisamakWasinee WongkummoolWorakitti LapisatepunSanthasiri OrrapinSasimol UdomrukLuca Lo PiccoloParunya ChaiyawatPublished in: International journal of molecular sciences (2024)
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.
Keyphrases
- gene expression
- systematic review
- global health
- dna methylation
- end stage renal disease
- newly diagnosed
- ejection fraction
- public health
- network analysis
- chronic kidney disease
- high resolution
- prognostic factors
- genome wide identification
- meta analyses
- patient reported outcomes
- genome wide analysis
- peritoneal dialysis
- rna seq
- single cell
- electronic health record
- nucleic acid
- transcription factor
- case control
- fluorescence imaging
- patient reported