TY - JOUR T1 - Application of Cluster Analysis to Distant Metastases from Lung Cancer JF - Anticancer Research JO - Anticancer Res SP - 413 LP - 419 DO - 10.21873/anticanres.13968 VL - 40 IS - 1 AU - HIROKO WATANABE AU - SHINICHIRO OKAUCHI AU - HIDEYASU YAMADA AU - SHINYA SATO AU - KUNIHIKO MIYAZAKI AU - TAKAHIDE KODAMA AU - HIROAKI SATOH AU - NOBUYUKI HIZAWA Y1 - 2020/01/01 UR - http://ar.iiarjournals.org/content/40/1/413.abstract N2 - Background/Aim: In patients with lung cancer, there has been no study that treated ‘distant metastases’ as ‘metastatic patterns’. This study aimed to evaluate if specific ‘metastatic patterns’ exist in lung cancer patients. Patients and Methods: Data were collected from lung cancer patients between 2009 and 2018. Metastatic patterns were analyzed using cluster analysis in patients with epidermal growth factor receptor (EGFR) mutation-positive lung adenocarcinoma, those with small cell lung cancer (SCLC), and those with squamous cell lung cancer (SqCLC). Results: In 313 patients (127 patients with EGFR mutation, 87 patients with SCLC, and 99 patients with SqCLC), metastatic patterns existed in each of the three subset groups, and metastatic patterns of these groups were statistically different. Conclusion: The knowledge of the metastatic patterns might be useful for clinical practice in the foreseeable future, as it enables a more efficient detection of metastatic disease through imaging, and a more effective treatment at predicted metastatic sites. ER -