ArticleCancer medicine2020
Identification of cancer stem cell characteristics in liver hepatocellular carcinoma by WGCNA analysis of transcriptome stemness index.
Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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71 citing papers in PubMed, 114 citations in OpenAlex.
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- High expression of TMEM119 predicts a poor prognosis in gastric cancer.Translational cancer research · 2026Article
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- ECM1 expression in chronic liver disease: Regulation by EGF/STAT1 and IFNγ/NRF2 signalling.JHEP reports : innovation in hepatology · 2025Article
- Stemness-hypoxia genesTranslational cancer research · 2025Article
- Identification of Hub Genes in Liver Hepatocellular Carcinoma Based on Weighted Gene Co-expression Network Analysis.Biochemical genetics · 2025Article
- A machine learning-based prognostic model integrating mRNA stemness index, hypoxia, and glycolysis‑related biomarkers for colorectal cancer.Open medicine (Warsaw, Poland) · 2025Article
- Establishment and Validation of the Novel Necroptosis-related Genes for Predicting Stemness and Immunity of Hepatocellular CarcinomaCombinatorial chemistry & high throughput screening · 2025Article
- Machine learning identification of NK cell immune characteristics in hepatocellular carcinoma based on single-cell sequencing and bulk RNA sequencing.Genes & genomics · 2025Article
- High expression of COL8A1 predicts poor prognosis and promotes EMT in papillary thyroid cancer.Endocrine connections · 2024Article
- Identification of Crucial Cancer Stem Cell Genes Linked to Immune Cell Infiltration and Survival in Hepatocellular Carcinoma.International journal of molecular sciences · 2024Article
- YTHDF1-regulated ALOX5 in retinal pigment epithelial cells under hypoxia enhances VEGF expression and promotes viability, migration, and angiogenesis of vascular endothelial cells.Scientific reports · 2024Article
- CH25H Promotes Autophagy and Regulates the Malignant Progression of Laryngeal Squamous Cell Carcinoma Through the PI3K-AKT Pathway.Cancer medicine · 2024Article
- Endoplasmic reticulum stress promotes hepatocellular carcinoma by modulating immunity: a study based on artificial neural networks and single-cell sequencing.Journal of translational medicine · 2024Article
- Unveiling the oncogenic role of LZTS1 in colorectal cancer.Journal of cellular and molecular medicine · 2024Article
- Identification of prognostic stemness-related genes in kidney renal papillary cell carcinoma.BMC medical genomics · 2024Article
- Relationship between circadian rhythm-related genes and extracellular matrix: implications for sleep deprivation.Sleep & breathing = Schlaf & Atmung · 2024Article
- Bioinformatics analysis of ERCC family in pan-cancer and ERCC2 in bladder cancer.Frontiers in immunology · 2024Article
- A ferroptosis-related LncRNAs signature for predicting prognoses and screening potential therapeutic drugs in patients with lung adenocarcinoma: A retrospective study.Cancer reports (Hoboken, N.J.) · 2024Article
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11 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer stem cells (CSCs) are characterized by self-renewal and -differential potential as compared to common cancer cells and play an important role in the development and therapeutic resistance of liver hepatocellular carcinoma (LIHC). However, the specific pathogenesis of LIHC stem cells is still unclear, and the genes involved in the stemness of LIHC stem cells are currently unknown. In this study, we investigated novel biomarkers associated with LIHC and explored the expression characteristics of stem cell-related genes in LIHC. We found that mRNA expression-based stemness index (mRNAsi) was significantly overexpressed in liver cancer tissues. Further, mRNAsi expression in LIHC increased with the tumor pathological grade, with grade 4 tumors harboring the greatest stem cell features. Upon establishing mRNAsi scores based on mRNA expression of every gene, we found an association with poor overall survival in LIHC. Moreover, modules of interest were determined based on weighted gene co-expression network analysis (WGCNA) inclusion criteria, and three significant modules (red, green, and brown) and 21 key genes (DCN, ECM1, HAND2, PTGIS, SFRP1, SRPX, COLEC10, GRP182, ADAMTS7, CD200, CDH11, COL8A1, FAP, LZTS1, MAP1B, NAV1, NOTCH3, OLFML2A, PRR16, TMEM119, and VCAN) were identified. Functional analysis of these 21 genes demonstrated their enrichment in pathways involved in angiogenesis, negative regulation of DNA-binding transcription factor activity, apoptosis, and autophagy. Causal relationship with proteins indicated that the Wnt, Notch, and Hypoxia pathways are closely related to LIHC tumorigenesis. To our knowledge, this is the first report of a novel CSC biomarker, mRNAsi, to predict the prognosis of LIHC. Further, we identified 21 key genes through mRNA expression network analysis, which could be potential therapeutic targets to inhibit the stemness of cancer cells in LIHC.
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