ArticleTranslational pediatrics2022
Bioinformatics analysis of the key genes in osteosarcoma metastasis and immune invasion.
Article in Translational pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 13 citations in OpenAlex.
- CORT silencing impairs migration and invasion: validation of a glycosylation-based risk model (CORT/LPAR5/CEBPA/MYH10/MAGEA11) in osteosarcoma.European journal of medical research · 2026Article
- Article
- Genomic landscape and potential therapeutic targets in alpha-fetoprotein-producing gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025Article
- Identification of potential biomarkers for hepatocellular carcinoma based on machine learning and bioinformatics analysis.Discover oncology · 2024Article
- Machine learning survival prediction using tumor lipid metabolism genes for osteosarcoma.Scientific reports · 2024Article
- Using machine learning methods to study the tumour microenvironment and its biomarkers in osteosarcoma metastasis.Heliyon · 2024Article
- Osteosarcoma-Associated Immune Genes as Potential Immunotherapy and Prognosis Biomarkers.Biochemical genetics · 2024Article
- The immune cell infiltration-associated molecular subtypes and gene signature predict prognosis for osteosarcoma patients.Scientific reports · 2024Article
- Single-cell RNA sequencing reveals the immune microenvironment landscape of osteosarcoma before and after chemotherapy.Heliyon · 2024Article
- Construction of Osteosarcoma Diagnosis Model by Random Forest and Artificial Neural Network.Journal of personalized medicine · 2023Article
- Screening and identification of susceptibility genes for osteosarcoma based on bioinformatics analysis.Annals of translational medicine · 2023Article
- Plasma protein changes reflect colorectal cancer development and associated inflammation.Frontiers in oncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study sought to identify potential key genes for osteosarcoma metastasis and analyze their immune infiltration patterns using bioinformatic methods. Methods: We obtained transcriptomic data related to osteosarcoma and osteosarcoma with metastasis from the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) and The Gene Expression Omnibus (GEO) databases and identified the differentially expressed genes (DEGs). We also identified potential key genes for osteosarcoma metastasis by a protein-protein interaction network analysis, and we conducted a Gene Ontology (GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis to identify the core genes for prognosis, immune cell infiltration, and drug sensitivity, and the risk prediction and prognosis models of metastasis were constructed. Results: By comparing the transcriptome data of osteosarcomas without metastasis and those with metastasis, a total of 19 core DEGs were identified, and the GO and KEGG analyses revealed an association between these DEGs and the regulation of cell division, secretory granule lumen, the Ras-associated protein 1 (Rap1) signaling pathway, and the mitogen-activated protein kinase (MAPK) signaling pathway. Compared with other immune cells, macrophage infiltration was predominant in osteosarcoma samples with metastatic osteosarcoma, and insulin-like growth factors-1 ( Conclusions: We constructed a metastasis prediction model with 5 genes (i.e.,
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.