ArticleJournal of Cancer2020
Identification of tumorigenicity-associated genes in osteosarcoma cell lines based on bioinformatic analysis and experimental validation.
Article in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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Who cites it
16 citing papers in PubMed, 21 citations in OpenAlex.
- Integration of Bulk RNA Sequencing and Single-Cell Sequencing to Identify Prognostic Genes Associated With MCDRGs in Neuroblastoma.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- FOXA2 promotes the occurrence and development of osteosarcoma cells by regulating ferroptosis through the Rheb/mTOR axis.World journal of surgical oncology · 2026Article
- Non-viral TcBuster transposon engineering of CD70-CAR natural killer cells for the treatment of osteosarcoma.Molecular therapy. Oncology · 2026Article
- DDX10 RNA Helicase: Structure, Function, and Oncogenic Roles Across Solid and Hematologic Tumors.Genes · 2026Review
- Mouse Models of Osteosarcoma: Unraveling Disease Mechanisms and Accelerating Drug Discovery and Development.Cancer reports (Hoboken, N.J.) · 2025Review
- PDK1-dependent metabolic reprogramming regulates stemness and tumorigenicity of osteosarcoma stem cells through ATF3.Cell death & disease · 2025Article
- HEY1 promotes the development and metastasis of osteosarcoma through CD44/EGFR/FAK pathway.Journal of cellular and molecular medicine · 2025Article
- Quantitative Analysis of Isopimpinellin fromMolecules (Basel, Switzerland) · 2024Article
- Progression of monoclonal gammopathy of undetermined significance to multiple myeloma is associated with enhanced translational quality control and overall loss of surface antigens.Journal of translational medicine · 2024Article
- Genes associated with inflammation for prognosis prediction for clear cell renal cell carcinoma: a multi-database analysis.Translational cancer research · 2023Article
- Evaluation of the Biological Effect of Non-UV-Activated Bergapten on Selected Human Tumor Cells and the Insight into the Molecular Mechanism of Its Action.International journal of molecular sciences · 2023Article
- Osteosarcoma Multi-Omics Landscape and Subtypes.Cancers · 2023Article
- Wnt/β-Catenin Promotes the Osteoblastic Potential of BMP9 Through Down-Regulating Cyp26b1 in Mesenchymal Stem Cells.Tissue engineering and regenerative medicine · 2023Article
- Human cells with osteogenic potential in bone tissue research.Biomedical engineering online · 2023Review
- Genomic Analysis Revealed Mutational Traits Associated with Clinical Outcomes in Osteosarcoma.Cancer management and research · 2021Article
- LAIR-1 overexpression inhibits epithelial-mesenchymal transition in osteosarcoma via GLUT1-related energy metabolism.World journal of surgical oncology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteosarcoma is the most common primary malignant tumor of bone. Tumorigenic investigation of osteosarcoma cell lines may facilitate preclinical studies of targeted therapy. Therefore, the aim of this study was to explore the tumorigenicity-associated genes in osteosarcoma cells. We found that 138 genes were highly expressed and 86 genes were lowly expressed in highly tumorigenic osteosarcoma cell lines (143B, MNNG/HOS, and SJSA-1) compared with poorly tumorigenic osteosarcoma cell lines (MG-63, Saos-2, and U-2 OS). Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that highly expressed genes were associated with amino acids and energy metabolism, while lowly expressed genes were associated with cell cycle and DNA replication. Gene Ontology (GO) analysis showed that highly expressed genes were associated with endoplasmic reticulum stress response and aggrephagy, whereas lowly expressed genes were correlated with extracellular matrix assembly and DNA damage response. Further analysis identified six highly expressed genes and six lowly expressed genes. Three of highly expressed genes (
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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.