Abstract
Lung cancer is the leading cause of cancer-related death. Next-generation metabolomics is becoming a powerful emerging technology for studying the systems biology and chemistry of health and disease. This mini review summarized the main platforms of next-generation metabolomics and its main applications in lung cancer including early diagnosis, pathogenesis, classifications and precision medicine. The period covers between 2009 and August, 2017. The major issues and future directions of metabolomics in lung cancer research and clinical applications were also discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 115774-115786 |
| Number of pages | 13 |
| Journal | Oncotarget |
| Volume | 8 |
| Issue number | 70 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Biomarker
- Lung cancer
- Next-generation metabolomics
- Pathogenesis
- Precision medicine
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