ArticleInternational journal of molecular sciences2019
Aberrant Methylation Status of Tumour Suppressor Genes in Ovarian Cancer Tissue and Paired Plasma Samples.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Early diagnosis of ovarian cancer based on methylation profiles in peripheral blood cell-free DNA: a systematic review.Clinical epigenetics · 2023Pooled it
- Pooled it
- The Role of Circulating Tumor DNA in Ovarian Cancer.Cancers · 2024Review
- Circulating cell-free (cf)DNA analysis: Current technologies and applications in gynecologic cancer.Gynecologic oncology reports · 2024Review
- Current Applications and Challenges of Next-Generation Sequencing in Plasma Circulating Tumour DNA of Ovarian Cancer.Biology · 2024Review
- Review
- Advancements in the clinical application of gene methylation for early cancer detection.Frontiers in epigenetics and epigenomics · 2024Review
- Liquid biopsy in ovarian cancer: advantages and limitations for prognosis and diagnosis.Medical oncology (Northwood, London, England) · 2023Review
- A gene signature driven by abnormally methylated DEGs was developed for TP53 wild-type ovarian cancer samples by integrative omics analysis of DNA methylation and gene expression data.Annals of translational medicine · 2023Article
- Interacting Networks of the Hypothalamic-Pituitary-Ovarian Axis Regulate Layer Hens Performance.Genes · 2023Review
- Liquid biopsy in ovarian cancer in China and the world: current status and future perspectives.Frontiers in oncology · 2023Review
- DNA methylation-based predictors of health: applications and statistical considerations.Nature reviews. Genetics · 2022Review
- Potential clinical utility of liquid biopsies in ovarian cancer.Molecular cancer · 2022Review
- Aberrant Epigenetic Alteration of PAX1 Expression Contributes to Parathyroid Tumorigenesis.The Journal of clinical endocrinology and metabolism · 2022Observational
- CircLNPEP promotes the progression of ovarian cancer through regulating miR-876-3p/ WNT5A axis.Cell cycle (Georgetown, Tex.) · 2021Article
- Can Circulating Cell-Free DNA or Circulating Tumor DNA Be a Promising Marker in Ovarian Cancer?Journal of oncology · 2021Review
- Cell-Free Nucleic Acids.International journal of molecular sciences · 2019Article
- Ovarian Cancer Diagnosis and Prognosis Based on Cell-Free DNA Methylation.Cancer control : journal of the Moffitt Cancer CenterReview
- The Progress of the Specific and Rapid Genetic Detection Methods for Ovarian Cancer Diagnosis and Treatment.Technology in cancer research & treatmentReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
Ovarian cancer is a highly heterogeneous disease and its formation is affected by many epidemiological factors. It has typical lack of early signs and symptoms, and almost 70% of ovarian cancers are diagnosed in advanced stages. Robust, early and non-invasive ovarian cancer diagnosis will certainly be beneficial. Herein we analysed the regulatory sequence methylation profiles of the
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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.