ReviewEpigenomics2016
Aberrant DNA methylations in chondrosarcoma.
Review in Epigenomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 22 citations in OpenAlex.
- The Role of AXL Signaling and MutantCancers · 2026Review
- Advances in the Molecular Biology of Chondrosarcoma for Drug Discovery and Precision Medicine.Cancers · 2025Review
- High-Throughput Drug Screening in Chondrosarcoma Cells Identifies Effective Antineoplastic Agents Independent of IDH Mutation.International journal of molecular sciences · 2024Article
- Genetics and Molecular Pathogenesis of the Chondrosarcoma: A Review of the Literature.Current issues in molecular biology · 2024Review
- Distinct IDH1/2-associated Methylation Profile and Enrichment ofCancer research communications · 2023Article
- Epigenetic Abnormalities in Chondrosarcoma.International journal of molecular sciences · 2023Review
- Biological Heterogeneity of Chondrosarcoma: From (Epi) Genetics through Stemness and Deregulated Signaling to Immunophenotype.Cancers · 2021Review
- Predictive and prognostic transcriptomic biomarkers in soft tissue sarcomas.NPJ precision oncology · 2021Review
- Differentially Methylated Regions in Desmoid-Type Fibromatosis: A Comparison Between CTNNB1 S45F and T41A Tumors.Frontiers in oncology · 2020Article
- DNA Methylation Status in Cancer Disease: Modulations by Plant-Derived Natural Compounds and Dietary Interventions.Biomolecules · 2019Review
- Therapeutic effect of palbociclib in chondrosarcoma: implication of cyclin-dependent kinase 4 as a potential target.Cell communication and signaling : CCS · 2019Article
- Epigenetics of Skeletal Diseases.Current osteoporosis reports · 2018Review
- Wnt inhibitory factor 1 (WIF1) methylation and its association with clinical prognosis in patients with chondrosarcoma.Scientific reports · 2017Article
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 3 institutions in 2 countries.
Funding
Abstract
Chondrosarcoma (CS) is the second most common primary malignant bone tumor. Unlike other bone tumors, CS is highly resistant to conventional chemotherapy and radiotherapy, thus resulting in poor patient outcomes. There is an urgent need to establish alternative therapies for CS. However, the etiology and pathogenesis of CS still remain elusive. Recently, DNA methylation-associated epigenetic changes have been found to play a pivotal role in the initiation and development of human cancers, including CS, by regulating target gene expression in different cellular pathways. Elucidating the mechanisms of DNA methylation alteration may provide biomarkers for diagnosis and prognosis, as well as novel treatment options for CS. We have conducted a critical review to summarize the evidence regarding aberrant DNA methylation patterns as diagnostic biomarkers, predictors of progression and potential treatment strategies in CS.
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.