Identification of Invasion-Associated Genes in Lung Cancer Cell Lines by Next Generation Sequencing Ii

Project Details


We have established the genomic profile, TKI response and invasion ability of 44 lung cancer cell lines in the previous year. This project will generate the exosome database of lung cancer cell lines. The database will include the transcriptomic profile by RNAseq and miRNAseq and proteomic profile by mass. Integration of omics data and phenotype data by bioinformatics analysis will find potential biomarkers for validation with lung cancer patients’ blood samples. Profiling of exosomal signatures will help us better understand the pathological mechanism in lung cancer. Combination with important clinical issues such as cancer mutation status, metastasis and drug resistance will provide the reference for lung cancer diagnosis and treatment. It is prospective study for development of non-invasive diagnostic reagents.
Effective start/end date1/08/1831/07/19

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 17 - Partnerships for the Goals


  • exosome
  • transcriptome
  • proteomic
  • NGS
  • EGFR


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