[Opportunities and challenges in accurate early diagnosis and treatment of lung cancer/pulmonary nodules]

Zhonghua Yi Xue Za Zhi. 2024 May 14;104(18):1547-1554. doi: 10.3760/cma.j.cn112137-20240306-00508.
[Article in Chinese]

Abstract

Lung cancer remains the most prevalent and lethal malignancy in our country. Early diagnosis and treatment are crucial for improving patient prognosis in lung cancer/pulmonary nodules. Recent advancements in non-invasive/minimally invasive liquid biopsy, multi-omics, and artificial intelligence technologies have significantly enhanced the accuracy of early lung cancer/pulmonary nodule diagnosis. However, an early diagnostic method with both high sensitivity and specificity is yet to be established. Furthermore, addressing the methods and extent of early precision surgery, local precision therapy, perioperative combined treatment, and postoperative recurrence and metastasis monitoring are urgent challenges in the early management of lung cancer/pulmonary nodules. Integrating the advantages of various treatment strategies and formulating personalized and precise treatment plans is key to further improving patient survival. In the future, while exploring new therapeutic strategies, it is necessary to continuously search for biomarkers to identify the population that will benefit from the treatment effectively. Additionally, large-sample randomized controlled clinical studies should be conducted to investigate the benefits of long-term patient survival under a diverse range of treatment strategies.

肺癌是我国发病率和死亡率最高的恶性肿瘤。改善肺癌、肺结节患者的预后关键在于早诊早治。近年来无创/微创液体活检、多组学及人工智能技术的发展很大程度上提高了肺癌、肺结节早诊的准确性,但尚无一种灵敏度和特异度俱佳的早期诊断方法。此外,早期精准手术方式及切除范围、局部精准治疗、围手术期联合治疗及术后复发转移监测仍然是肺癌、肺结节早治亟待解决的问题。综合各种治疗策略的优势,制定个体化精准治疗方案是进一步改善患者长期生存的关键,未来在探索新的治疗策略的同时,需要持续探索标志物筛选治疗有效人群,并开展大样本随机对照临床研究探索多元化治疗策略下的患者长期生存获益情况。.

Publication types

  • English Abstract

MeSH terms

  • Early Detection of Cancer*
  • Humans
  • Liquid Biopsy
  • Lung Neoplasms* / diagnosis
  • Lung Neoplasms* / therapy
  • Prognosis
  • Sensitivity and Specificity