Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile

Taichiro Goto, Yosuke Hirotsu, Hitoshi Mochizuki, Takahiro Nakagomi, Daichi Shikata, Yujiro Yokoyama, Toshio Oyama, Kenji Amemiya, Kenichiro Okimoto, Masao Omata

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)


In cases of multiple lung cancers, individual tumors may represent either a primary lung cancer or both primary and metastatic lung cancers. Treatment selection varies depending on such features, and this discrimination is critically important in predicting prognosis. The present study was undertaken to determine the efficacy and validity of mutation analysis as a means of determining whether multiple lung cancers are primary or metastatic in nature. The study involved 12 patients who underwent surgery in our department for multiple lung cancers between July 2014 and March 2016. Tumor cells were collected from formalin-fixed paraffin-embedded tissues of the primary lesions by using laser capture microdissection, and targeted sequencing of 53 lung cancer-related genes was performed. In surgically treated patients with multiple lung cancers, the driver mutation profile differed among the individual tumors. Meanwhile, in a case of a solitary lung tumor that appeared after surgery for double primary lung cancers, gene mutation analysis using a bronchoscopic biopsy sample revealed a gene mutation profile consistent with the surgically resected specimen, thus demonstrating that the tumor in this case was metastatic. In cases of multiple lung cancers, the comparison of driver mutation profiles clarifies the clonal origin of the tumors and enables discrimination between primary and metastatic tumors.

Original languageEnglish
Pages (from-to)31133-31143
Number of pages11
Issue number19
Publication statusPublished - 2017
Externally publishedYes


  • Lung cancer
  • Metastasis
  • Multiple cancers
  • Mutation
  • Next-generation sequencing

ASJC Scopus subject areas

  • Oncology


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