ReviewGenes2022
Pathophysiological Role and Diagnostic Potential of R-Loops in Cancer and Beyond.
Review in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 18 citations in OpenAlex.
- Multi-omics dissection of R-loop dynamics in tumorigenesis: From transcription-replication conflict to therapeutic targets.Molecular therapy. Oncology · 2026Review
- Integrative Analysis Reveals Conserved R-Loop Features in Mouse Embryonic Stem Cells.Epigenomes · 2026Article
- Biochemical Characterization of R-Loop Degradation by Chloroplast-Localized RNase H1 fromInternational journal of molecular sciences · 2025Article
- Article
- Transcription-Coupled Repair and R-Loop Crosstalk in Genome Stability.International journal of molecular sciences · 2025Review
- Mechanisms underlining R-loop biology and implications for human disease.Frontiers in cell and developmental biology · 2025Review
- Whole exome sequencing and polygenic assessment of a Swedish cohort with severe developmental language disorder.Human genetics · 2024Article
- R-Loops in Genome Instability and Cancer.Cancers · 2023Review
- Editorial for the 'Reciprocal Links between RNA Metabolism and DNA Damage' Special Issue: July 2023.Genes · 2023Article
- Post-transcriptional control of haemostatic genes: mechanisms and emerging therapeutic concepts in thrombo-inflammatory disorders.Cardiovascular research · 2023Review
- The Regulation of m6A Modification in Glioblastoma: Functional Mechanisms and Therapeutic Approaches.Cancers · 2023Review
- R-Loops and R-Loop-Binding Proteins in Cancer Progression and Drug Resistance.International journal of molecular sciences · 2023Review
- Review
- Clinical and Mechanistic Implications of R-Loops in Human Leukemias.International journal of molecular sciences · 2023Review
- 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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
R-loops are DNA-RNA hybrids that play multifunctional roles in gene regulation, including replication, transcription, transcription-replication collision, epigenetics, and preserving the integrity of the genome. The aberrant formation and accumulation of unscheduled R-loops can disrupt gene expression and damage DNA, thereby causing genome instability. Recent links between unscheduled R-loop accumulation and the abundance of proteins that modulate R-loop biogenesis have been associated with numerous human diseases, including various cancers. Although R-loops are not necessarily causative for all disease entities described to date, they can perpetuate and even exacerbate the initially disease-eliciting pathophysiology, making them structures of interest for molecular diagnostics. In this review, we discuss the (patho) physiological role of R-loops in health and disease, their surprising diagnostic potential, and state-of-the-art techniques for their detection.
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.