ArticleMolecular medicine reports2015
Gene expression profiling analysis of osteosarcoma cell lines.
Article in Molecular medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 27 citations in OpenAlex.
- Integrated spatial and single-cell transcriptomics reveals RPL8 as a prognostic biomarker and therapeutic target in hepatocellular carcinoma.Translational oncology · 2026Article
- PLCG2 across human disease: genetic variants, signaling mechanisms, and clinical implications.Journal of translational medicine · 2026Review
- MAD2L1 is transcriptionally regulated by TEAD4 and promotes cell proliferation and migration in colorectal cancer.Cancer gene therapy · 2023Article
- Ribosomal protein L8 regulates the expression and splicing pattern of genes associated with cancer-related pathways.Turkish journal of biology = Turk biyoloji dergisi · 2023Article
- Article
- Inhibition of BUB1 suppresses tumorigenesis of osteosarcoma via blocking of PI3K/Akt and ERK pathways.Journal of cellular and molecular medicine · 2021Article
- Identification of lncRNA and mRNA Expression Profile in Relapsed Graves' Disease.Frontiers in cell and developmental biology · 2021Article
- Computational screening of potential glioma-related genes and drugs based on analysis of GEO dataset and text mining.PloS one · 2021Article
- Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis.International journal of molecular sciences · 2020Article
- Identification of osteosarcoma driver genes using a network method.Oncology letters · 2020Article
- Identification of key genes associated with progression and prognosis for lung squamous cell carcinoma.PeerJ · 2020Article
- Overexpression of CDCA8 promotes the malignant progression of cutaneous melanoma and leads to poor prognosis.International journal of molecular medicine · 2019Article
- Article
- An integrative analysis of DNA methylation in osteosarcoma.Journal of bone oncology · 2017Article
- Multitype Network-Guided Target Controllability in Phenotypically Characterized Osteosarcoma: Role of Tumor Microenvironment.Frontiers in immunology · 2017Article
- Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes.Cancer informatics · 2017Review
- Systematic analysis of mRNA expression profiles in NSCLC cell lines to screen metastasis-related genes.Molecular medicine reports · 2016Article
- Integrated analysis of gene expression and genomic aberration data in osteosarcoma (OS).Cancer gene therapy · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteosarcoma (OS) is the most common type of primary bone malignancy and has a poor prognosis. To investigate the mechanisms of osteosarcoma, the present analyzed the GSE28424 microarray. GSE28424 was downloaded from the Gene Expression Omnibus, and included a collective of 19 OS cell lines and four normal bone cell lines, which were used as controls. Subsequently, the differentially expressed genes (DEGs) were screened using the Limma package in Bioconductor. Gene Ontology (GO) and pathway enrichment analysis of the DEGs was performed using the Database for Annotation, Visualization and Integrated Discovery, interactions between the proteins encoded by the DEGs were identified using STRING, and the protein‑protein interaction (PPI) network was visualized using Cytoscape. In addition, modular analysis of the PPI network was performed using the Clique Percolation Method (CPM) in CFinder. A total of 1,170 DEGs were screened, including 530 upreguated and 640 downregulated genes. The enriched functions included organelle fission, immune response and response to wounding. In addition, RPL8 was observed to be involved with the ribosomal pathway in module A of the PPI network of the DEGs. PLCG1, SYK and PLCG2 were also involved in the B‑cell receptor signaling pathway in module B and the Fc‑epsilon RI signaling pathway in module C. In addition, AURKA (degree=39), MAD2L1 (degree=38), CDCA8 (degree=38), BUB1 (degree=37) and MELK (degree=37) exhibited higher degrees of connectivity in module F. The results of the present study suggested that the RPL8, PLCG1, PLCG2, SYK, MAD2L1, AURKA, CDCA8, BUB1 and MELK genes may be involved in OS.
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.