ArticleJournal of translational medicine2023
Deep dissection of stemness-related hierarchies in hepatocellular carcinoma.
Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Single-cell mapping of tumor-driven macrophage reprogramming via ETV4-MC1R underlies immunotherapy resistance in colorectal cancer.International journal of surgery (London, England) · 2026Article
- Single-cell RNA sequencing and spatial transcriptomic analysis reveal a distinct population of G6PDFrontiers in immunology · 2026Article
- FOXP1-transcriptionally regulated AEG-1 enhances tumor cell stemness to promote hepatocellular carcinoma radioresistance.Molecular and cellular biochemistry · 2026Article
- Machine learning-driven comprehensive profiling of tumor heterogeneity and sialylation in hepatocellular carcinoma.NPJ precision oncology · 2025Article
- CD44British journal of cancer · 2025Article
- Molecular subtyping combined with multiomics analysis to study correlation between TACE refractoriness and tumor stemness in hepatocellular carcinoma.Discover oncology · 2025Article
- Metabolic reprogramming in hepatocellular carcinoma: mechanisms of immune evasion and therapeutic implications.Frontiers in immunology · 2025Review
- Novel Stemness-Associated Scores: Enhancing Predictions of Hepatocellular Carcinoma Prognosis and Tumor Immune Microenvironment.Oncology research · 2025Article
- Overcoming resistance to PD-1 and CTLA-4 blockade mechanisms and therapeutic strategies.Frontiers in immunology · 2025Review
- Acute aerobic exercise alters serum protein distribution in colorectal cancer patients.Frontiers in oncology · 2025Article
- Develop a prognostic and drug therapy efficacy prediction model for hepatocellular carcinoma based on telomere maintenance-associated genes.Frontiers in oncology · 2025Article
- Sophisticated roles of tumor microenvironment in resistance to immune checkpoint blockade therapy in hepatocellular carcinoma.Cancer drug resistance (Alhambra, Calif.) · 2025Review
- Molecular mechanisms and signaling pathways related to brain metastasis in breast cancer.Frontiers in pharmacology · 2025Review
- Betaine inhibits the stem cell-like properties of hepatocellular carcinoma by activating autophagy via SAM/mTheranostics · 2025Article
- mJournal of hepatocellular carcinoma · 2024Article
Corrections and comments
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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
backgroundIncreasing evidence suggests that hepatocellular carcinoma (HCC) stem cells (LCSCs) play an essential part in HCC recurrence, metastasis, and chemotherapy and radiotherapy resistance. Multiple studies have demonstrated that stemness-related genes facilitate the progression of tumors. However, the mechanism by which stemness-related genes contribute to HCC is not well understood. Here, we aim to construct a stemness-related score (SRscores) model for deeper analysis of stemness-related genes, assisting with the prognosis and individualized treatment of HCC patients.Further, we found that the gene LPCAT1 was highly expressed in tumor tissues by immunohistochemistry, and sphere-forming assay revealed that knockdown of LPCAT1 inhibited the sphere-forming ability of hepatocellular carcinoma cells.
methodsWe used the TCGA-LIHC dataset to screen stemness-related genes of HCC from the MSigDB database. Prognosis, tumor microenvironment, immunological checkpoints, tumor immune dysfunction, rejection, treatment sensitivity, and putative biological pathways were examined. Random forest created the SRscores model. The anti-PD-1/anti-CTLA4 immunotherapy, tumor mutational burden, medication sensitivity, and cancer stem cell index were compared between the high- and low-risk score groups. We also examined risk scores for different cell types using single-cell RNA sequencing data and correlated transcription factor activity in cancer stem cells with SRscores genes. Finally, we tested core marker expression and biological functions.
resultsPatients can be divided into two subtypes (Cluster1 and Cluster2) based on the TCGA-LIHC dataset's identification of 11 stemness-related genes. Additionally, a SRscores was developed based on subtypes. Cluster2 and the group with the lowest SRscores had superior survival and immunotherapy response than Cluster1 and the group with the highest SRscores. The group with a high SRscores was significantly more enriched in classical tumor pathways than the group with a low SRscores. Multiple transcription factors and SRscores genes are correlated. The core gene LPCAT1 is highly expressed in rat liver cancer tissues and promotes tumor cell sphere formation.
conclusionA SRscores model can be utilized to predict the prognosis of HCC patients as well as their response to immunotherapy.
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