ReviewInternational journal of molecular sciences2022
The Mutual Relationship between Glycosylation and Non-Coding RNAs in Cancer and Other Physio-Pathological Conditions.
Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 12 citations in OpenAlex.
- From Glycocode to Precision Oncology: Therapeutic Strategies Targeting Aberrant O-GalNAc Glycosylation in Cancer.Chemical reviews · 2026Review
- GlycoRNA in cancer immune regulation and progression: biological mechanisms and translational therapeutic prospects.Frontiers in immunology · 2026Review
- Adhesion to aggression: unravelling sLeClinical & experimental metastasis · 2025Review
- Glycosylation in cancer: mechanisms, diagnostic markers, and therapeutic applications.Molecular and cellular biochemistry · 2025Review
- GlycoRNA: A new player in cellular communication.Oncology research · 2025Article
- MAN2B1 in immune system-related diseases, neurodegenerative disorders and cancers: functions beyond α-mannosidosis.Expert reviews in molecular medicine · 2024Review
- Long noncoding RNAs in ubiquitination, protein degradation, and human diseases.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024Review
- Comprehensive analysis of glycoprotein profiles and their association with cardiovascular disease-related microRNAs in rheumatoid arthritis, metabolic disorders, and controls.Scientific reports · 2024Article
- Breaking Down the Bottlebrush: Atomically Detailed Structural Dynamics of Mucins.Journal of chemical information and modeling · 2024Article
- Non-Coding RNAs and Innate Immune Responses in Cancer.Biomedicines · 2024Review
- The Post-Translational Modifications of Human Salivary Peptides and Proteins Evidenced by Top-Down Platforms.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glycosylation, which consists of the enzymatic addition of sugars to proteins and lipids, is one of the most important post-co-synthetic modifications of these molecules, profoundly affecting their activity. Although the presence of carbohydrate chains is crucial for fine-tuning the interactions between cells and molecules, glycosylation is an intrinsically stochastic process regulated by the relative abundance of biosynthetic (glycosyltransferases) and catabolic (glycosidases) enzymes, as well as sugar carriers and other molecules. Non-coding RNAs, which include microRNAs, long non-coding RNAs and circRNAs, establish a complex network of reciprocally interacting molecules whose final goal is the regulation of mRNA expression. Likewise, these interactions are stochastically regulated by ncRNA abundance. Thus, while protein sequence is deterministically dictated by the DNA/RNA/protein axis, protein abundance and activity are regulated by two stochastic processes acting, respectively, before and after the biosynthesis of the protein axis. Consequently, the worlds of glycosylation and ncRNA are closely interconnected and mutually interacting. In this paper, we will extensively review the many faces of the ncRNA-glycosylation interplay in cancer and other physio-pathological conditions.
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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.