Plasma transcriptome sequencing in patients of lung cancer

Optimize and establish micro-RNA transcriptome database technology to meet the high-efficiency collection of RNA transcriptome data in plasma; obtain the expression profile and structural characteristics of plasma RNA in lung cancer patients with different types and different stages of disease development; establish RNA omics data and The fusion analysis method of clinical case data found the molecular type and staging of lung cancer associated with specific circular RNA; established a new molecular lung cancer molecular typing method based on RNA, and further verified in clinical practice.