The promises and challenges of early non-small cell lung cancer detection: patient perceptions, low-dose CT screening, bronchoscopy and biomarkers

被引:15
|
作者
Kalinke, Lukas [1 ]
Thakrar, Ricky [1 ]
Janes, Sam M. [1 ]
机构
[1] UCL, Lungs Living Res Ctr, London, England
关键词
biomarkers; cancer; detection; screening; CIRCULATING TUMOR-CELLS; RISK PREDICTION MODEL; CARCINOMA IN-SITU; COMPUTED-TOMOGRAPHY; FOLLOW-UP; AUTOFLUORESCENCE BRONCHOSCOPY; INTRAEPITHELIAL NEOPLASIA; PULMONARY NODULES; AUTOANTIBODY TEST; PHASE-II;
D O I
10.1002/1878-0261.12864
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Lung cancer survival statistics are sobering with survival ranking among the poorest of all cancers despite the addition of targeted therapies and immunotherapies. However, improvements in tools for early detection hold promise. The Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON) trial recently corroborated the findings from the previous National Lung Screening Trial low-dose Computerised Tomography (NLST) screening trial in reducing lung cancer mortality. Biomarker research and development is increasing at pace as the molecular life histories of lung cancers become further unravelled. Low-dose CT screening (LDCT) is effective but targets only those at the highest risk and is burdensome on healthcare. An optimally designed CT screening programme at best will only detect a low proportion of overall lung cancers as only those at very high-risk meet screening criteria. Biomarkers that help risk stratify suitable patients for LDCT screening, and those that assist in determining which LDCT detected nodules are likely to represent malignant disease are needed. Some biomarkers have been proposed as standalone lung cancer diagnosis tools. Bronchoscopy technology is improving, with better capacity to identify and obtain samples from early lung cancers. Clinicians need to be aware of each early lung cancer detection method's inherent limitations. We anticipate that the future of early lung cancer diagnosis will involve a synergistic, multimodal approach, combining several early detection methods.
引用
收藏
页码:2544 / 2564
页数:21
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