ArticleCancer science2010
Characterization of the epithelial cell adhesion molecule (EpCAM)+ cell population in hepatocellular carcinoma cell lines.
Article in Cancer science, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 85 citations in OpenAlex.
- Biological roles and clinical applications of EpCAM in HCC.Discover oncology · 2025Review
- Molecular subclassification of gastrointestinal cancers based on cancer stem cell traits.Experimental hematology & oncology · 2021Review
- BEX2 is required for maintaining dormant cancer stem cell in hepatocellular carcinoma.Cancer science · 2021Article
- 3D Culture of Circulating Tumor Cells for Evaluating Early Recurrence and Metastasis in Patients with Hepatocellular Carcinoma.OncoTargets and therapy · 2021Article
- Effects of biomechanical forces on the biological behavior of cancer stem cells.Journal of Cancer · 2021Review
- Localized fluorescent imaging of multiple proteins on individual extracellular vesicles using rolling circle amplification for cancer diagnosis.Journal of extracellular vesicles · 2020Article
- Advances in Therapeutic Targeting of Cancer Stem Cells within the Tumor Microenvironment: An Updated Review.Cells · 2020Review
- Effects of Pyrrole-Imidazole Polyamides Targeting Human TGF-β1 on the Malignant Phenotypes of Liver Cancer Cells.Molecules (Basel, Switzerland) · 2020Article
- Regulation of mTOR signaling by long non-coding RNA.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020Review
- Targeting Liver Cancer Stem Cells Using Engineered Biological Nanoparticles for the Treatment of Hepatocellular Cancer.Hepatology communications · 2020Article
- Targeting Cancer Stem Cells by Genetically Engineered Chimeric Antigen Receptor T Cells.Frontiers in genetics · 2020Review
- Identification of new cancer stem cell markers and signaling pathways in HER‑2‑positive breast cancer by transcriptome sequencing.International journal of oncology · 2019Article
- Cancer Stem Cells and Targeting Strategies.Cells · 2019Review
- The Evolving Landscape of Cancer Stem Cells and Ways to Overcome Cancer Heterogeneity.Cancers · 2019Review
- Surface markers of liver cancer stem cells and innovative targeted-therapy strategies for HCC.Oncology letters · 2018Article
- Immunohistochemical Coexpression of Epithelial Cell Adhesion Molecule and Alpha-Fetoprotein in Hepatocellular Carcinoma.Canadian journal of gastroenterology & hepatology · 2018Article
- Prognostic roles of pathology markers immunoexpression and clinical parameters in Hepatoblastoma.Journal of biomedical science · 2017Article
- Mammalian-enabled (MENA) protein enhances oncogenic potential and cancer stem cell-like phenotype in hepatocellular carcinoma cells.FEBS open bio · 2017Article
- Crucial role of carbonic anhydrase IX in tumorigenicity of xenotransplanted adult T-cell leukemia-derived cells.Cancer science · 2017Article
- Cancer stem cells in human gastrointestinal cancer.Cancer science · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accumulating evidence suggests that cancer stem cells (CSC) play an important role in tumorigenicity. Epithelial cell adhesion molecule (EpCAM) is one of the markers that identifies tumor cells with high tumorigenicity. The expression of EpCAM in liver progenitor cells prompted us to investigate whether CSC could be identified in hepatocellular carcinoma (HCC) cell lines. The sorted EpCAM(+) subpopulation from HCC cell lines showed a greater colony formation rate than the sorted EpCAM(-) subpopulation from the same cell lines, although cell proliferation was comparable between the two subpopulations. The in vivo evaluation of tumorigenicity, using supra-immunodeficient NOD/scid/γc(null) (NOG) mice, revealed that a smaller number of EpCAM(+) cells (minimum 100) than EpCAM(-) cells was necessary for tumor formation. The bifurcated differentiation of EpCAM(+) cell clones into both EpCAM(+) and EpCAM(-) cells was obvious both in vitro and in vivo, but EpCAM(-) clones sustained their phenotype. These clonal analyses suggested that EpCAM(+) cells may contain a multipotent cell population. Interestingly, the introduction of exogenous EpCAM into EpCAM(+) clones, but not into EpCAM(-) clones, markedly enhanced their tumor-forming ability, even though both transfectants expressed a similar level of EpCAM. Therefore, the difference in the tumor-forming ability between EpCAM(+) and EpCAM(-) cells is probably due to the intrinsic biological differences between them. Collectively, our results suggest that the EpCAM(+) population is biologically quite different from the EpCAM(-) population in HCC cell lines, and preferentially contains a highly tumorigenic cell population with the characteristics of CSC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.