Application of Data Science in Circulating Tumor DNA Detection: A Promising Avenue Towards Liquid Biopsy
| Autor: | Si-si Xie, Lv-yun Zhu, Chenyu Lu, Ming Li, Lingyun Zhu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Cancer Research liquid biopsy business.industry Mini Review technological advancement Neoplasms. Tumors. Oncology. Including cancer and carcinogens Data science Advanced cancer Peripheral blood Biomarker (cell) 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Oncology Circulating tumor DNA 030220 oncology & carcinogenesis cancer diagnosis Medicine Technological advance data science Liquid biopsy business ctDNA detection RC254-282 |
| Zdroj: | Frontiers in Oncology Frontiers in Oncology, Vol 11 (2021) |
| ISSN: | 2234-943X |
| Popis: | The circulating tumor DNA (ctDNA), as a promising biomarker of liquid biopsy, has potential clinical relevance on the molecular diagnosis and monitoring of cancer. However, the trace concentration level of ctDNA in the peripheral blood restricts its extensive clinical application. Recently, high-throughput-based methodologies have been leveraged to improve the sensitivity and specificity of ctDNA detection, showing a promising avenue towards liquid biopsy. This review briefly summarizes the high-throughput data features concerned by current ctDNA detection strategies and the technical obstacles, potential solutions, and clinical relevance of current ctDNA profiling technologies. We also highlight future directions improving the limit of detection of ctDNA for better clinical application. This review may serve as a reference for the crosslinks between data science and ctDNA-based liquid biopsy, benefiting clinical translation in advanced cancer diagnosis. |
| Databáze: | OpenAIRE |
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