Applications of liquid biopsy in lung cancer-diagnosis, prognosis prediction, and disease monitoring

被引:1
作者
Luo, Wenna [1 ,2 ]
Rao, Mingliang [1 ]
Qu, Jiayao [1 ,2 ]
Luo, Dixian [1 ,2 ]
机构
[1] Southern Med Univ, Affiliated Peoples Hosp Chenzhou 1, Chenzhou Ctr Clin Pathol Lab, Natl & Local Joint Engn Lab High Mol Diag Technol, Chenzhou 432000, Peoples R China
[2] Univ South China, Affiliated Peoples Hosp Chenzhou 1, Translat Med Inst, Chenzhou 432000, Peoples R China
来源
AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH | 2018年 / 10卷 / 12期
基金
中国国家自然科学基金;
关键词
Lung cancer; liquid biopsy; prognosis; treatment responses; CIRCULATING TUMOR-CELLS; DEFORMABILITY-BASED SEPARATION; CLINICAL-SIGNIFICANCE; BIOMARKER DISCOVERY; ACQUIRED-RESISTANCE; SENSITIVE DETECTION; MET AMPLIFICATION; PROTEOME ANALYSIS; PLASMA DNA; RNA;
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Lung cancer is the most common cancer in both the developing and developed countries, which has an unoptimistic outcome. As a result of high rates in mortality and considerable difficulties in treatment, early detection of lung cancer is thought as one of the potential solutions for this stigma. Tissue biopsy has been widely used for cancer diagnosis, but the invasive nature limits their application, especially when repeated biopsies are needed. Liquid biopsy, a minimally invasive procedure aiming to primarily analyze circulating tumor cells (CTCs) and/or circulating tumor DNA (ctDNA) for diagnosing and profiling cancer, has gained interest from oncologists and basic researchers. A great number of achievements in the field of liquid biopsy has been developed, thus liquid biopsy is more feasible in clinical practice than before. More importantly, liquid biopsy is being used, in addition to the diagnosis of lung cancer, to predict prognosis according to genetic alterations and monitor disease based on signature molecular markers. In this review, we briefly summarize techniques in liquid biopsy and focus on its applications in disease diagnosis, prognosis prediction, and condition monitoring of lung cancer.
引用
收藏
页码:3911 / 3923
页数:13
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