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Updated: Aug 5, 2026

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes
Published on: May 23, 2025
RNA modifications in radiotherapy resistance and radiosensitization: epitranscriptomic regulation of tumor response
Hongran Qin1, Shuqiang Yang1, Jiawei He1
1Department of Nuclear Radiation, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Abstract:
Radiotherapy (RT) remains a major treatment for solid tumors, but durable tumor control is frequently limited by adaptive DNA repair, altered cell-death thresholds, cancer stemness, metabolic plasticity, and immune escape. RNA modifications have recently emerged as rapid post-transcriptional regulators that enable tumor, stromal, and immune cells to remodel these programs after irradiation. This Mini Review emphasizes three major themes. First, N6-methyladenosine (m6A) is the best-characterized RNA modification in RT response, with METTL3/METTL14, FTO, ALKBH5, YTH-domain readers, and IGF2BP proteins regulating DNA repair, apoptosis, ferroptosis, stemness, metabolism, and immune checkpoints in a highly context-dependent manner. Second, non-m6A modifications, including 5-methylcytosine (m5C), N4-acetylcytidine (ac4C), 7-methylguanosine (m7G), and A-to-I RNA editing, are increasingly linked to homologous recombination, metabolic adaptation, innate immune sensing, and immune evasion, although their RT-specific evidence remains limited and should be viewed as emerging rather than established. Third, therapeutic targeting of RNA-modifying enzymes may improve radiosensitization only when guided by tumor type, cellular context, RT dose and fractionation schedule, predictive biomarkers, and normal-tissue safety. Accordingly, we organize current evidence around RNA-modification machinery, tumor-intrinsic mechanisms of radioresistance, immune microenvironment remodeling, and barriers to clinical translation. We further highlight the need to move beyond single-axis models toward dynamic, spatial, and clinically validated analyses of RNA modification networks during fractionated RT.
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