Literature DB >> 32490705

Improvement strategies for successful next-generation sequencing analysis of lung cancer.

Kei Kunimasa1, Shingo Matsumoto2, Kazumi Nishino1, Harumi Nakamura3, Hanako Kuhara1, Motohiro Tamiya1, Takako Inoue1, Takahisa Kawamura1, Hayato Kawachi1, Kika Kuno1, Toru Kimura4, Tomohiro Maniwa4, Jiro Okami4, Shin-Ichi Nakatsuka3, Koichi Goto2, Toru Kumagai1.   

Abstract

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.

Entities:  

Keywords:  lung cancer; next-generation sequence; precision medicine; sampling; success rate

Mesh:

Substances:

Year:  2020        PMID: 32490705     DOI: 10.2217/fon-2020-0332

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  3 in total

Review 1.  Predictive Biomarkers in Thyroid Cancer.

Authors:  Elisabetta Macerola; Anello Marcello Poma; Paola Vignali; Agnese Proietti; Clara Ugolini; Liborio Torregrossa; Alessio Basolo; Rossella Elisei; Ferruccio Santini; Fulvio Basolo
Journal:  Front Oncol       Date:  2022-05-06       Impact factor: 5.738

2.  Fragment size and dynamics of EGFR-mutated tumor-derived DNA provide prognostic information regarding EGFR-TKI efficacy in patients with EGFR-mutated NSCLC.

Authors:  Kei Kunimasa; Kazumi Nishino; Yoshiharu Sato; Masahide Mori; Shoichi Ihara; Hidekazu Suzuki; Izumi Nagatomo; Toru Kumagai; Toshitaka Morishima; Fumio Imamura
Journal:  Sci Rep       Date:  2022-08-08       Impact factor: 4.996

3.  Comparison of sampling methods for next generation sequencing for patients with lung cancer.

Authors:  Kei Kunimasa; Shingo Matsumoto; Kazumi Nishino; Keiichiro Honma; Noboru Maeda; Hanako Kuhara; Motohiro Tamiya; Takako Inoue; Takahisa Kawamura; Toru Kimura; Tomohiro Maniwa; Jiro Okami; Koichi Goto; Toru Kumagai
Journal:  Cancer Med       Date:  2022-03-10       Impact factor: 4.711

  3 in total

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