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Liquid biopsy in lung cancer management
Liquid biopsy is a promising tool for a better cancer management and currently opens perspectives for several clinical applications, such as detection of mutations when the analysis from tissue is not available, monitoring tumor mutational burden and prediction of targeted therapy response. These ch...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academy of Medical Sciences, Romanian Academy Publishing House, Bucharest
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593132/ https://www.ncbi.nlm.nih.gov/pubmed/36074665 http://dx.doi.org/10.47162/RJME.63.1.02 |
Sumario: | Liquid biopsy is a promising tool for a better cancer management and currently opens perspectives for several clinical applications, such as detection of mutations when the analysis from tissue is not available, monitoring tumor mutational burden and prediction of targeted therapy response. These characteristics validate liquid biopsy analysis as a strong cancer biomarkers source with high potential for improving cancer patient’s evolution. Compared to classical biopsy, liquid biopsy is a minimal invasive procedure, and it allows the real-time monitoring of treatment response. Considering that lung cancer is the most common cause of cancer-associated death worldwide and that only 15–19% of the lung cancer patients survive five years after diagnosis, there is an important interest in improving its management. Like in other types of solid cancers, lung cancer could benefit from liquid biopsy through a simple peripheral blood sample as tumor-related biomarkers, such as circulating tumor cells (CTCs), cell-free nucleic acids (cfNA) [cell-free ribonucleic acid (cfRNA) and cell-free deoxyribonucleic acid (cfDNA)], exosomes and tumor-educated platelets (TEPs) may shed into circulation because of necrosis or in an active manner. More, the detection and analysis of these biomarkers could lead to a better understanding of oncological diseases like lung cancer. The better the tumor profile is established; the better management is possible. However, this approach has currently some limitations, such as low cfNA concentration or low count of CTCs that might be overcome by improving the actual methods and technologies. |
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