Literature DB >> 31892596

The Prognosis of Lung Cancer With Different Metastatic Patterns.

Shinichiro Okauchi1, Hiroko Watanabe2, Hideyasu Yamada3, Shinya Sato4, Kunihiko Miyazaki4, Takahide Kodama4, Hiroaki Satoh5, Nobuyuki Hizawa6.   

Abstract

BACKGROUND/AIM: Distant organ metastases do not occur at random in lung cancer. A retrospective study was conducted in order to evaluate 1) what kinds of metastatic patterns exist in three different types of lung cancer, and 2) whether metastatic patterns affected prognosis in the different types of lung cancer. PATIENTS AND METHODS: Data were collected from all consecutive patients with diagnosed lung cancer between April 2009 and October 2018 in our hospitals. Cluster analysis was performed to classify patients. Kaplan-Meier analysis, log-rank test, and Cox proportional hazards model were used.
RESULTS: Epidermal growth factor-mutated adenocarcinoma, small cell lung cancer, and squamous cell lung cancer had different 'metastatic patterns', survival, and unfavorable prognostic factors, respectively.
CONCLUSION: There might be different metastatic patterns, survival, and unfavorable prognostic factors in each pathological and genetic type of lung cancer. It is worthwhile carrying out diagnostic imaging and treatment considering information on metastatic patterns. Copyright
© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

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Keywords:  Cluster analysis; lung cancer; metastatic pattern; prognosis

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Year:  2020        PMID: 31892596     DOI: 10.21873/anticanres.13969

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  1 in total

1.  Cluster analysis of deterioration sites after first-line epidermal growth factor receptor-tyrosine kinase inhibitor in epidermal growth factor receptor mutated non-small cell lung cancer.

Authors:  Shinichiro Okauchi; Kunihiko Miyazaki; Hiroaki Satoh
Journal:  Contemp Oncol (Pozn)       Date:  2022-06-30
  1 in total

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