Improvement strategies for successful next-generation sequencing analysis of lung cancer.
Kei KunimasaShingo MatsumotoKazumi NishinoHarumi NakamuraHanako KuharaMotohiro TamiyaTakako InoueTakahisa KawamuraHayato KawachiKika KunoToru KimuraTomohiro ManiwaJiro OkamiShin-Ichi NakatsukaKoichi GotoToru KumagaiPublished in: Future oncology (London, England) (2020)
Aim: We aimed to improve the success rate of NGS (next-generation sequencing) analysis through improved strategies of lung cancer sampling. Materials & methods: The improvement strategies are as follows. Surgically resected specimens were preferentially submitted in cooperation with pathologists and surgeons. In bronchoscopic samples, the size of the sample collection device and the number of samples collected was increased. Results: The strategies increased the success rate of NGS analysis of DNA from 69.3 to 91.1%, and that of RNA from 64.6 to 90.0%. Discussion: The introduction of strategies aimed at improving the success of NGS analysis resulted in an improvement in the success rate and brought us closer to the delivery of effective precision medicine in cancer therapy.