SynthesisMedicine2018
Systematic meta-analysis of genetic variants associated with osteosarcoma susceptibility.
Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 5 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Genetic variants associated with osteosarcoma risk: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- Epidemiological Evidence for Associations Between Genetic Variants and Osteosarcoma Susceptibility: A Meta-Analysis.Frontiers in oncology · 2022Pooled it
- The association between XRCC3 rs1799794 polymorphism and cancer risk: a meta-analysis of 34 case-control studies.BMC medical genomics · 2021Pooled it
- Association between TP53 rs1042522 gene polymorphism and the risk of malignant bone tumors: a meta-analysis.Bioscience reports · 2019Pooled it
- Pooled it
- ROLE OF POLYMORPHISMS IN VEGF AND KDR GENES IN OSTEOSARCOMA SUSCEPTIBILITY: A SYSTEMATIC REVIEW.Acta ortopedica brasileira · 2025Review
- Identification of TNFRSF1A as a potential biomarker for osteosarcoma.Cancer biomarkers : section A of Disease markers · 2024Article
- Review
- Article
- Pharmacogenomics and Pharmacogenetics in Osteosarcoma: Translational Studies and Clinical Impact.International journal of molecular sciences · 2020Review
- Immune Checkpoint Molecules-Inherited Variations as Markers for Cancer Risk.Frontiers in immunology · 2020Review
- Article
- Degradation of long non-coding RNA-CIR decelerates proliferation, invasion and migration, but promotes apoptosis of osteosarcoma cells.Cancer cell international · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the past decade, accumulated evidence has suggested that genetic variation is related to the pathogenesis of osteosarcoma. Although there are a large number of studies on the association between genetic variation and osteosarcoma, their results are inconsistent. To clarify these findings, we performed a systematic meta-analysis using allelic contrasts for each gene-specific single nucleotide variants with all available data in the field of osteosarcoma.
methodsThe literature search for relevant studies was conducted in PubMed, Embase, and Cochrane databases. Pooled ORs and 95% CI values were calculated by the random-effects model using the Comprehensive Meta-analysis version 2.0 software package. Heterogeneity between studies was examined by the Cochran's Q-test.
resultsThe 32 genome-wide case-control population-based studies, involving 15,336 study subjects (6924 cases and 8412 controls), were included in this meta-analysis. We analyzed 24 single nucleotide variants (SNVs) in 14 genes. We identified 12 SNVs in CTLA-4, IL-8, MDM2, PRCKG, RECQL5, TNF-a, TP53, XRCC3, and VEGF that correlated with osteosarcoma susceptibility. The average pooled odds ratio for the 9 risk alleles was 2.082 (range: 1.585 to 3.262). These included CTLA-4 rs231775, CTLA-4 rs5742909, PRCKG rs454006, RECQL5 rs820196, TNF-α rs1800629, TP53 rs1042522, XRCC3 rs861539, VEGF rs699947, and VEGF rs3025039. The average pooled odds ratio for the 3 protective alleles, IL-8 rs4073, MDM2 rs1690916, and VEGF rs2010963, was 0.606 (range: 0.510-0.719). Publication bias was not observed among the studies reporting positively correlated SNVs. The pooled odds ratios for the SNVs that correlated with osteosarcoma risk showed homogeneity.
conclusionOur results provide powerful information for tracking the most viable gene candidates. Further studies with larger multiethnicity populations and investigations of the potential biological roles of these genetic variants in osteosarcoma should be conducted.
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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.