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| Content Provider | PubMed Central |
|---|---|
| Author | Huang, Wei-lun Wei, Fang Wong, David T. Lin, Chien-chung Su, Wu-chou |
| Copyright Year | 2015 |
| Abstract | The advances in targeted therapies for lung cancer are based on the evaluation of specific gene mutations especially the epidermal growth factor receptor (EGFR). The assays largely depend on the acquisition of tumor tissue via biopsy before the initiation of therapy or after the onset of acquired resistance. However, the limitations of tissue biopsy including tumor heterogeneity and insufficient tissues for molecular testing are impotent clinical obstacles for mutation analysis and lung cancer treatment. Due to the invasive procedure of tissue biopsy and the progressive development of drug-resistant EGFR mutations, the effective initial detection and continuous monitoring of EGFR mutations are still unmet requirements. Circulating tumor DNA (ctDNA) detection is a promising biomarker for noninvasive assessment of cancer burden. Recent advancement of sensitive techniques in detecting EGFR mutations using ctDNA enables a broad range of clinical applications, including early detection of disease, prediction of treatment responses, and disease progression. This review not only introduces the biology and clinical implementations of ctDNA but also includes the updating information of recent advancement of techniques for detecting EGFR mutation using ctDNA in lung cancer. |
| Related Links | http://dx.doi.org/10.1155/2015/340732 |
| Starting Page | 340732 |
| File Format | |
| ISSN | 23146133 |
| e-ISSN | 23146141 |
| Journal | BioMed Research International |
| Volume Number | 2015 |
| Language | English |
| Publisher | Hindawi Publishing Corporation |
| Publisher Date | 2015-01-01 |
| Access Restriction | Open |
| Rights Holder | Hindawi Publishing Corporation |
| Subject Keyword | Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Immunology and Microbiology Medicine Biochemistry, Genetics and Molecular Biology |
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