ReviewExpert review of molecular diagnostics2014
The promise of methylation on beads for cancer detection and treatment.
Review in Expert review of molecular diagnostics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Gene methylation as a powerful biomarker for detection and screening of non-small cell lung cancer in blood.Oncotarget · 2017Pooled it
- Omics-enhanced nanomedicine: integrating multi-omics for precision cancer diagnosis and therapy.Discover oncology · 2025Review
- Translation of Epigenetics in Cell-Free DNA Liquid Biopsy Technology and Precision Oncology.Current issues in molecular biology · 2024Review
- High-throughput sample processing for methylation analysis in an automated, enclosed environment.SLAS technology · 2022Article
- Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments.Molecular cancer · 2022Review
- Advances in the pathogenesis and clinical application prospects of tumor biomolecules in keloid.Burns & trauma · 2022Review
- Promoter methylation of ADAMTS1 and BNC1 as potential biomarkers for early detection of pancreatic cancer in blood.Clinical epigenetics · 2019Article
- Methylation Biomarker Panel Performance in EsophaCap Cytology Samples for Diagnosing Barrett's Esophagus: A Prospective Validation Study.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Article
- Individualized metabolic profiling stratifies pancreatic and biliary tract cancer: a useful tool for innovative screening programs and predictive strategies in healthcare.The EPMA journal · 2018Article
- Circulating Tumor DNA as Biomarkers for Cancer Detection.Genomics, proteomics & bioinformatics · 2017Review
- The emerging role of GATA transcription factors in development and disease.Expert reviews in molecular medicine · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Despite numerous technical hurdles, the realization of true personalized medicine is becoming a progressive reality for the future of patient care. With the development of new techniques and tools to measure the genetic signature of tumors, biomarkers are increasingly being used to detect occult tumors, determine the choice of treatment and predict outcomes. Methylation of CpG islands at the promoter region of genes is a particularly exciting biomarker as it is cancer-specific. Older methods to detect methylation were cumbersome, operator-dependent and required large amounts of DNA. However, a newer technique called methylation on beads has resulted in a more uniform, streamlined and efficient assay. Furthermore, methylation on beads permits the extraction and processing of miniscule amounts of methylated tumor DNA in the peripheral blood. Such a technique may aid in the clinical detection and treatment of cancers in the future.
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.