ArticleAnnals of translational medicine2020
A blood-based 22-gene expression signature for hepatocellular carcinoma identification.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Current Situation and Prospects of Digital Therapeutics in the Field of Liver Diseases in China.Advances in therapy · 2025Review
- Transcriptomics of MASLD Pathobiology in African American Patients in the Washington DC AreaInternational journal of molecular sciences · 2023Article
- LncRNA SATB2-AS1 overexpression represses the development of hepatocellular carcinoma through regulating the miR-3678-3p/GRIM-19 axis.Cancer cell international · 2023Article
- Repressing phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit gamma by microRNA-142-3p restrains the progression of hepatocellular carcinoma.Bioengineered · 2022Article
- New Blood Biomarkers for the Diagnosis of AFP-Negative Hepatocellular Carcinoma.Frontiers in oncology · 2020Review
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Authors and funding
8 authors.
Funding
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Abstract
backgroundHepatocellular carcinoma (HCC) is one of the most common and lethal malignancies. Early detection of HCC could largely reduce mortalities. Ultrasonography (US) and serum Alpha Fetoprotein (AFP) test are the screening methods that are most frequently applied to high-risk populations. Due to the poor performance of AFP testing, and the highly operator-dependent nature of US, a biomarker for HCC early diagnosis is highly sought after. We developed a method for HCC screening using a 22-gene expression signature.
methodsPeripheral whole blood of 98 patients were processed through microarrays for the first round of feature selection via two strategies, Minimal Redundancy Maximal Relevance and Least Absolute Shrinkage and Selection Operator combined with Support Vector Machine (SVM). Candidate genes were combined for further validation through qPCR in an enlarged population with 316 samples with 104 chronic hepatitis, 112 liver cirrhosis (LC), and 100 HCC.
resultsA 22-gene signature was established in classifying HCC and non-cancer samples with good performance. The area under curve reached 0.94 in all of the samples and 0.93 in the AFP -negative samples.
conclusionsWe have established a blood mRNA signature with high performance for HCC screening. Our results show transcriptome of peripheral blood could be valuable source for biomarkers.
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