Wang Chengdi, Chen Bojiang, Liang Shufan, Shao Jun, Li Jingwei, Yang Liuqing, Ren Pengwei, Wang Zhoufeng, Luo Wenxin, Zhang Li, Liu Dan, Li Weimin
Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Frontiers Medical Center, Tianfu Jincheng Laboratory, Chengdu, China.
Signal Transduct Target Ther. 2025 May 27;10(1):175. doi: 10.1038/s41392-025-02256-1.
Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the tumor stage remains the most dominant factor that affects patient survival. Previous initiatives have tried to develop new tools for decision-making of lung cancer. In this study, we proposed the China Protocol, a complete workflow of lung cancer tailored to the Chinese population, which is implemented by steps including early screening by evaluation of risk factors and three-dimensional thin-layer image reconstruction technique for low-dose computed tomography (Tre-LDCT), accurate diagnosis via artificial intelligence (AI) and novel biomarkers, and individualized treatment through non-invasive molecule visualization strategies. The application of this protocol has improved the early diagnosis and 5-year survival rates of lung cancer in China. The proportion of early-stage (stage I) lung cancer has increased from 46.3% to 65.6%, along with a 5-year survival rate of 90.4%. Moreover, especially for stage IA1 lung cancer, the diagnosis rate has improved from 16% to 27.9%; meanwhile, the 5-year survival rate of this group achieved 97.5%. Thus, here we defined stage IA1 lung cancer, which cohort benefits significantly from early diagnosis and treatment, as the "ultra-early stage lung cancer", aiming to provide an intuitive description for more precise management and survival improvement. In the future, we will promote our findings to multicenter remote areas through medical alliances and mobile health services with the desire to move forward the diagnosis and treatment of lung cancer.
肺癌的早期筛查、诊断和治疗在临床实践中至关重要,因为肿瘤分期仍然是影响患者生存的最主要因素。此前已有多项举措试图开发肺癌决策的新工具。在本研究中,我们提出了中国方案,这是一套针对中国人群量身定制的肺癌完整诊疗流程,其实施步骤包括通过评估风险因素进行早期筛查以及采用低剂量计算机断层扫描三维薄层图像重建技术(Tre-LDCT),借助人工智能(AI)和新型生物标志物进行精准诊断,以及通过非侵入性分子可视化策略进行个体化治疗。该方案的应用提高了中国肺癌的早期诊断率和5年生存率。早期(I期)肺癌的比例从46.3%增至65.6%,5年生存率达90.4%。此外,尤其是IA1期肺癌,诊断率从16%提高到27.9%;同时,该组的5年生存率达到97.5%。因此,我们在此将IA1期肺癌定义为“超早期肺癌”,这一群体能从早期诊断和治疗中显著获益,旨在为更精准的管理和生存改善提供直观描述。未来,我们将通过医疗联盟和移动健康服务将我们的研究成果推广至多中心偏远地区,以期推动肺癌的诊断和治疗。