Challenges and Strategies of Non-Coding RNA Therapies in Addressing Tumor Heterogeneity in Head and Neck Cancers
Abstract
Head and neck cancer (HNC) exhibits significant heterogeneity, leading to variable treatment responses and unstable efficacy of non-coding RNA (ncRNA) therapies, which presents a major challenge in clinical management. ncRNAs, including miRNAs, lncRNAs, and circRNAs, play pivotal roles in regulating tumor initiation, progression, and drug resistance. However, their expression and function are dynamically reshaped by tumor heterogeneity, thereby compromising the stability and predictability of ncRNA-based therapies. This article first systematically reviews the current research landscape of different ncRNAs in HNC at the molecular level. It further explores the challenges posed by heterogeneity in ncRNA therapy concerning delivery, target selection, and microenvironmental interference. Subsequently, it summarizes various countermeasures and future directions, including those based on precision diagnostics, novel delivery systems, gene editing technologies, and multimodal combination strategies. Finally, the article prospects the application potential of individualized ncRNA treatment strategies that integrate heterogeneity information in the future of precision medicine for HNC.
Read the paper
Related studies
- Regulation of nucleolus assembly by non-coding RNA polymerase II transcripts
- For a Healthy Histone Code, a Little SUMO in the Tail Keeps the Acetyl Away
- Discovering a binary CTCF code with a little help from BORIS
- Article Commentary: Stabilizing the Code–-Methods to Preserve RNA Prove Their Worth
- Foreword to the Special Issue for the RINTC (The Implicit Seismic Risk of Code-Conforming Structures) Project
- Commentary: Promoting Health and Well-being in Pediatric Primary Care Settings: Using Health and Behavior Codes at Routine Well-child Visits
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.