ReviewCurrent opinion in genetics & development2018
Nonsense-mediated mRNA Decay and Cancer.
Review in Current opinion in genetics & development, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 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
99 citing papers in PubMed, 148 citations in OpenAlex.
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- Iron overload suppresses LKB1 and induces IL36G anti-tumor immunity in PDAC metastasis.Science advances · 2026Article
- Diagnostic whole transcriptome sequencing in a series of 1233 FFPE solid tumor samples.British journal of cancer · 2026Article
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- Non-canonical and induced neoantigens as emerging sources of cancer-specific immunotherapy targets.Frontiers in immunology · 2026Review
- RNA-seq Splicing Profile of theCancers · 2025Article
- The dynamic interactions between virus infections and nonsense-mediated decay.Human molecular genetics · 2025Review
- Nonsense-Mediated mRNA Decay: Mechanisms and Recent Implications in Cardiovascular Diseases.Cells · 2025Review
- Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations.NPJ precision oncology · 2025Article
- CLCluster: A redundancy-reduction contrastive learning-based clustering method of cancer subtype based on multi-omics data.Molecular therapy. Nucleic acids · 2025Article
- Review
- Exploration of crucial stromal risk genes associated with prognostic significance and chemotherapeutic opportunities in invasive ductal breast carcinoma.Journal, genetic engineering & biotechnology · 2025Article
- Reduced UPF1 levels in senescence impair nonsense-mediated mRNA decay.Communications biology · 2025Article
- AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data.BMC bioinformatics · 2024Article
- BRCA1/2 Mutations and Breast/Ovarian Cancer Risk: A New Insights Review.Reproductive sciences (Thousand Oaks, Calif.) · 2024Review
- Review
- RUNX1 C-terminal mutations impair blood cell differentiation by perturbing specific enhancer-promoter networks.Blood advances · 2024Article
- Physiological Consequences of Nonsense-Mediated Decay and Its Role in Adaptive Responses.Biomedicines · 2024Review
39 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
2 authors at 1 institution in 1 country.
Funding
Abstract
Nonsense-mediated mRNA decay (NMD) is a conserved mRNA surveillance pathway that cells use to ensure the quality of transcripts and to fine-tune transcript abundance. The role of NMD in cancer development is complex. In some cases, tumors have exploited NMD to downregulate gene expression by apparently selecting for mutations causing destruction of key tumor-suppressor mRNAs. In other cases, tumors adjust NMD activity to adapt to their microenvironment. Understanding how particular tumors exploit NMD for their benefit may augment the development of new therapeutic interventions.
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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.