Nousias Orestis, Mandell Jeffrey D, Anderson Karen S, Townsend Jeffrey P
Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Lung Cancer. 2025 Apr;202:108487. doi: 10.1016/j.lungcan.2025.108487. Epub 2025 Mar 13.
Genomic instability driven by stress-response-dependent mutagenesis is a key factor in cancer progression. Tyrosine kinase inhibitor therapy, a common treatment for non-small cell lung cancer, induces mutations that can facilitate the evolution of drug resistance and therapeutic failure. Here we quantified the contribution of APOBEC to mutational signatures in non-small cell lung cancer patients undergoing TKI therapy. By analyzing tumor sequence data to infer gene-specific and patient-specific trinucleotide mutation rates, we projected the potential delay of resistance obtained by suppression of APOBEC mutation. Our data-driven analysis indicates that inhibition of APOBEC activity would substantially extend therapeutic efficacy, with the degree of benefit varying based on patient-specific APOBEC mutagenesis levels. Personalized therapeutic strategies that target APOBEC offer promise for the enhancement of TKI treatment efficacy by delaying the evolution of drug resistance in lung cancer. Development of clinically safe inhibitors for use in combination with tyrosine kinase inhibitors could significantly limit tumor genetic variation and improve outcomes for non-small cell lung cancer patients.
由应激反应依赖性诱变驱动的基因组不稳定是癌症进展的关键因素。酪氨酸激酶抑制剂疗法是治疗非小细胞肺癌的常用方法,它会诱发突变,从而促进耐药性的演变和治疗失败。在这里,我们量化了APOBEC对接受TKI治疗的非小细胞肺癌患者突变特征的贡献。通过分析肿瘤序列数据以推断基因特异性和患者特异性三核苷酸突变率,我们预测了抑制APOBEC突变所获得的耐药性潜在延迟。我们的数据驱动分析表明,抑制APOBEC活性将显著延长治疗效果,受益程度因患者特异性APOBEC诱变水平而异。针对APOBEC的个性化治疗策略有望通过延缓肺癌耐药性的演变来提高TKI治疗效果。开发与酪氨酸激酶抑制剂联合使用的临床安全抑制剂可以显著限制肿瘤基因变异并改善非小细胞肺癌患者的治疗结果。