Lumkul, Lalita and Jantaree, Phatcharida and Jaisamak, Kritsada and Wongkummool, Wasinee and Lapisatepun, Worakitti and Orrapin, Santhasiri and Udomruk, Sasimol and Lo Piccolo, Luca and Chaiyawat, Parunya (2024) Combinatorial Gene Expression Profiling of Serum HULC, HOTAIR, and UCA1 lncRNAs to Differentiate Hepatocellular Carcinoma from Liver Diseases: A Systematic Review and Meta-Analysis. International Journal of Molecular Sciences, 25 (2). p. 1258. ISSN 1422-0067
ijms-25-01258.pdf - Published Version
Download (1MB)
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.
Item Type: | Article |
---|---|
Subjects: | Impact Archive > Multidisciplinary |
Depositing User: | Managing Editor |
Date Deposited: | 20 Jan 2024 11:43 |
Last Modified: | 20 Jan 2024 11:43 |
URI: | http://research.sdpublishers.net/id/eprint/3847 |