The Role of Non-Coding RNA in Cancer
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "RNA".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 125
Special Issue Editor
Special Issue Information
Dear Colleagues,
Over the past two decades, innovative technologies for the deep sequencing of transcriptomes and spatial mapping of RNA and chromatin interactions have uncovered the complex biology of regulatory non-coding RNAs (ncRNAs). The diverse group of ncRNAs regulates various physiological processes and many aspects of cell differentiation and development. Mutations in ncRNAs are linked to a variety of disease conditions; in cancer, it is postulated that they lead to the dysregulation of ncRNA networks, causing the cell to undergo a state transition toward a neoplastic “attractor state”.
The growing evidence that ncRNAs significantly contribute to cancer development is not yet fully incorporated into clinical oncology. It is important that this information gap be bridged to foster a better understanding of tumorigenesis and guide the design of more effective therapy.
This Special Issue aims to explore the new frontier of ncRNAs in cancer pathogenesis as well as highlight the need for system-level integration of RNA data into patient assessment protocols. We encourage the submission of reviews, original articles, and communications related, but not limited, to the following topics about ncRNAs: biogenesis and function, gene regulation and cell development, diagnostic/prognostic biomarkers, novel therapeutic strategies, cell regulatory networks, cancer attractor states, and single-cell multi-omics research.
Dr. Amil M. Shah
Guest Editor
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Keywords
- non-coding RNA (ncRNA)
- ncRNA classification
- ncRNA biogenesis
- ncRNA functions
- diagnostic and prognostic biomarkers
- targeted therapy
- nucleic acid-based therapy
- cell regulatory networks
- cancer attractor states
- computational network models
- omics technology (single-cell RNA-seq, spatial transcriptomics, and single-cell multi-omics)
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