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Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
Pre-mRNA splicing and cancer: exon-mediated transcriptional amplification as an emerging hallmark of malignancy
1Molecular Biology Unit, Center for Advance Research, King George's Medical University, Lucknow, Uttar Pradesh, India.
Abstract:
Cancer progression is commonly interpreted through genetic mutation and clonal selection. While this framework explains many aspects of tumour initiation, it does not fully account for prolonged dormancy, late relapse, spatial heterogeneity, or metastasis occurring without new driver mutations. Increasing evidence indicates that these behaviours are governed by reversible regulatory processes operating downstream of DNA sequence. Here, we advance an RNA-centric framework in which transcriptional reinforcement and RNA fate control jointly shape tumour evolution across time and space. We focus on exon-mediated activation of transcription starts (EMATS), a mechanism whereby efficient exon recognition stabilises promoter-proximal RNA polymerase II, suppresses premature termination, and amplifies transcription from weak or context-dependent promoters without requiring promoter mutation, enhancer rewiring, or immediate protein output. The resulting transcripts are subsequently filtered through RNA fate checkpoints that determine nuclear retention, decay, or persistence, uncoupling transcriptional activity from translation. Within this model, non-coding and non-canonical RNAs function as spatiotemporal reporters of tumour state, encoding when and where transcriptional programmes are engaged. RNA persistence enables tumour cells to remain transcriptionally primed under hypoxia, therapeutic pressure, or immune surveillance, supporting dormancy and rapid reactivation. By reframing tumour evolution as RNA state regulation, this framework provides a mechanistic basis for plasticity, relapse, and therapy resistance, and highlights RNA states as clinically actionable biomarkers and vulnerabilities.
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