肺癌生物标志物

D. Kharagezov, Y. Lazutin, E. Mirzoyan, A. Milakin, O. Stateshny, I. A. Leiman, K. D. Iozefi
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引用次数: 2

摘要

全世界每年登记的肺癌新病例超过180万例。无论在发展中国家还是发达国家,LC都是癌症死亡的主要原因,其5年生存率低至19%。许多因素解释了这种令人不满意的结果,包括晚期LC诊断,而目前可用的治疗方法很少能治愈。生物标志物用于评估发展风险、筛查、诊断、监测和预后,以及个性化LC治疗。临床使用生物标志物对于鉴别高危人群筛查LC和区分早期LC与良性肺病变至关重要。目前LC生物标志物的发展趋势包括将分子生物标志物与临床和放射学特征相结合,利用人工智能开发成像生物标志物,以及利用下一代测序等高灵敏度技术进行分子研究。LC生物标志物目前处于开发的各个阶段,从发现到需要高质量临床验证的临床试验。尤其需要可靠的生物标志物来区分肺组织中的恶性和良性病变,并识别那些发展为肺癌的风险最大的病变。理解LC的科学进步导致了生物标志物的发展,在临床验证研究中证明了足够的准确性。LC生物标志物的发展趋势包括高灵敏度和越来越容易获得的NGS和放射组学技术,以及易于收集的生物材料的使用,结合其他肿瘤特征,有助于开发用于评估LC发展风险、诊断、监测、预后和个性化治疗的生物标志物。本文综述了LC生物标志物的发展、应用现状及未来趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lung cancers biomarkers
More than 1.8 million of new cases of lung cancer (LC) are registered each year worldwide. LC is the leading cause of cancer death in both developing and developed countries, and the 5 years survival rate is as low as 19 %. Many factors explain such unsatisfactory outcomes, including the LC diagnosis at an advanced stage, when the currently available treatments can rarely provide cure. Biomarkers are used to assess the development risks, screening, diagnosis, monitoring, and prognosis, and to personalize the LC treatment. Clinical use of biomarkers is essential for the identification of a high-risk group for screening for LC and differentiating early LC from benign pulmonary lesions. Current trends in the development of LC biomarkers involve the integration of molecular biomarkers with clinical and radiological characteristics using artificial intelligence for the development of imaging biomarkers, and using highly sensitive technologies such as next-generation sequencing for molecular research. LC biomarkers are now at all stages of development, from discovery to clinical trials requiring high-quality clinical validation. Reliable biomarkers are especially needed to differentiate malignant and benign lesions in the lung tissue and to identify those at greatest risk of developing lung cancer. Scientific advances in understanding LC have led to the development of biomarkers that demonstrate sufficient accuracy in clinical validation studies. Promising trends in the development of LC biomarkers include highly sensitive and increasingly accessible NGS and radiomics technologies, along with the use of easily collected biomaterials, which in combination with other tumor characteristics contribute to the development of biomarkers for assessing the LC development risks, diagnosis, monitoring, prognosis and personalized therapy. This review focuses on the development, current application, and future trends in the use of LC biomarkers.
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