ArticleJournal of oncology2022
Identification of LTF as a Prognostic Biomarker for Osteosarcoma.
Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- NRIP1 disrupts ERα signal in Sjögren's disease via AQP5 suppression and MYC-driven salivary dysfunction.Experimental & molecular medicine · 2026Article
- Study on the Role of Neutrophil Extracellular Traps-Based Risk Model and Discriminative Gene LTF in the Prognosis of Acute Myeloid Leukemia and the Regulation of Immune Microenvironment.Blood and lymphatic cancer : targets and therapy · 2026Article
- Article
- NEXN targeting MYOCD by facilitating EMT-related β-catenin nuclear translocation modulates the metastasis of hepatocellular carcinoma.iScience · 2025Article
- Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation.BMC pharmacology & toxicology · 2025Article
- LTF as a Potential Prognostic and Immunological Biomarker in Glioblastoma.Biochemical genetics · 2025Article
- Lipid metabolism-related genes are involved in the formation of macrophage extracellular traps in allergic airway inflammation.Genes and immunity · 2025Article
- Construction of a NETosis-related gene signature for predicting the prognostic status of sepsis patients.Heliyon · 2024Article
- The synergistic effects of anoikis-related genes and EMT-related genes in the prognostic prediction of Wilms tumor.Frontiers in molecular biosciences · 2024Article
- A novel stratification framework based on anoikis-related genes for predicting the prognosis in patients with osteosarcoma.Frontiers in immunology · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteosarcoma remains a major health problem in teenagers. However, its pathogenesis mechanism remains not fully elucidated. This study aims to identify the prognostic biomarkers for osteosarcoma. In this study, we selected genes with a median absolute deviation (MAD) value of the top 5000 in the GSE32981 dataset for subsequent analysis. Weighted correlation network analysis (WGCNA) was used to construct a coexpression network. WGCNA showed that the tan module and midnight blue module were highly correlated with origin and metastases of osteosarcoma, respectively. Enrichment analysis was conducted using genes in the tan module and midnight blue module. A gene coexpression network was constructed by calculating the Spearman correlation coefficients. Four key genes (LTF, C10orf107, HIST1H2AK, and NEXN) were identified to be correlated with the prognosis of osteosarcoma patients. LTF has the highest AUC value, and its effect on osteosarcoma cells was then evaluated. The effect of LTF overexpression on proliferation, migration, and invasion of MG63 and 143B cells was detected by the CCK-8 assay, transwell cell migration assay, and transwell invasion assay, respectively. The overexpression of LTF promoted the proliferation, migration, and invasion of MG63 and 143B cells. In conclusion, LTF may serve as a prognostic biomarker for osteosarcoma.
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.