ReviewJournal of experimental & clinical cancer research : CR2020
Non-coding RNAs in cancer: platforms and strategies for investigating the genomic "dark matter".
Review in Journal of experimental & clinical cancer research : CR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 2 of them syntheses 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
127 citing papers in PubMed, 2 syntheses or guidelines pooled it, 265 citations in OpenAlex.
- A systematic review of non-coding RNA therapeutics in early clinical trials: a new perspective against cancer.Journal of translational medicine · 2024Pooled it
- The promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches.Prostate cancer and prostatic diseases · 2022Pooled it
- Decoding cancer circulating transcriptomic signatures with language models.Nature communications · 2026Article
- Why are Some Tissues More Vulnerable? Revisiting Tissue Specificity in Hereditary Cancer Syndromes.Molecular diagnosis & therapy · 2026Review
- MiR-494-5p suppresses colorectal cancer metastasis by multi-level targeting of KAT2B, a novel mechanism disrupting KAT2B enhancer-promoter looping, and inhibiting c-JUN-driven pro-metastatic properties.Molecular cancer · 2026Article
- Cancer in transition: discovery of tumor-intrinsic transcriptional programs shaping the immune and microenvironmental landscape.Biomarker research · 2026Review
- An Insight into the Emerging Role of Extracellular Vesicle-derived Noncoding RNAs in Colorectal Cancer.MicroRNA (Shariqah, United Arab Emirates) · 2026Review
- Genomic innovations in cancer prevention, diagnosis, prognosis and precision therapeutics.Frontiers in genetics · 2026Review
- Non-Coding RNA-GATA Axis: Mechanisms and Implications in Cancer Progression and Metastases.Cancers · 2025Review
- Integrative gene co-expression network analysis reveals protein-coding and LncRNA genes associated with Alzheimer's disease pathology.Scientific reports · 2025Article
- Data-driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes.Molecular oncology · 2025Article
- The intersection of ferroptosis and non-coding RNAs: a novel approach to lung cancer.Irish journal of medical science · 2025Review
- Computational identification and validation of non-coding rna biomarkers in gastrointestinal cancer.Functional & integrative genomics · 2025Review
- GAS5 as a therapeutic target in breast cancer through apoptosis induction.Cell communication and signaling : CCS · 2025Review
- Genomic data mining reveals hub genes and lncRNAs as prognostic biomarkers in breast cancer.Scientific reports · 2025Article
- Unveiling the oncogenic functions of lncRNA PSMG3-AS1: a review of its biological roles in cancer.Discover oncology · 2025Review
- Liver-specific lncRNAs associated with liver cancers.FEBS open bio · 2025Review
- Anoikis resistance in Cancer: Mechanisms, therapeutic strategies, potential targets, and models for enhanced understanding.Cancer letters · 2025Review
- CrossAttOmics: multiomics data integration with cross-attention.Bioinformatics (Oxford, England) · 2025Article
- Enhanced Early Detection of Colorectal Cancer via Blood Biomarker Combinations Identified Through Extracellular Vesicle Isolation and Artificial Intelligence Analysis.Journal of extracellular vesicles · 2025Article
67 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
The discovery of the role of non-coding RNAs (ncRNAs) in the onset and progression of malignancies is a promising frontier of cancer genetics. It is clear that ncRNAs are candidates for therapeutic intervention, since they may act as biomarkers or key regulators of cancer gene network. Recently, profiling and sequencing of ncRNAs disclosed deep deregulation in human cancers mostly due to aberrant mechanisms of ncRNAs biogenesis, such as amplification, deletion, abnormal epigenetic or transcriptional regulation. Although dysregulated ncRNAs may promote hallmarks of cancer as oncogenes or antagonize them as tumor suppressors, the mechanisms behind these events remain to be clarified. The development of new bioinformatic tools as well as novel molecular technologies is a challenging opportunity to disclose the role of the "dark matter" of the genome. In this review, we focus on currently available platforms, computational analyses and experimental strategies to investigate ncRNAs in cancer. We highlight the differences among experimental approaches aimed to dissect miRNAs and lncRNAs, which are the most studied ncRNAs. These two classes indeed need different investigation taking into account their intrinsic characteristics, such as length, structures and also the interacting molecules. Finally, we discuss the relevance of ncRNAs in clinical practice by considering promises and challenges behind the bench to bedside translation.
Indexed as
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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.