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Driver genes in non-small cell lung cancer: Characteristics, detection methods, and targeted therapies.
Zhu, Qing-Ge; Zhang, Shi-Ming; Ding, Xiao-Xiao; He, Bing; Zhang, Hu-Qin.
Affiliation
  • Zhu QG; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
  • Zhang SM; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
  • Ding XX; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
  • He B; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
  • Zhang HQ; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
Oncotarget ; 8(34): 57680-57692, 2017 Aug 22.
Article in En | MEDLINE | ID: mdl-28915704
Lung cancer is one of the most common causes of cancer-related death in the world. The large number of lung cancer cases is non-small cell lung cancer (NSCLC), which approximately accounting for 75% of lung cancer. Over the past years, our comprehensive knowledge about the molecular biology of NSCLC has been rapidly enriching, which has promoted the discovery of driver genes in NSCLC and directed FDA-approved targeted therapies. Of course, the targeted therapies based on driver genes provide a more exact option for advanced non-small cell lung cancer, improving the survival rate of patients. Now, we will review the landscape of driver genes in NSCLC including the characteristics, detection methods, the application of target therapy and challenges.
Key words

Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Oncotarget Year: 2017 Type: Article

Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Oncotarget Year: 2017 Type: Article