Prognostic Analyses of Resected Primary Lung Cancer by the Cox's Proportional Hazard Model, Using Tumor Doubling Time, Argyrophil Nucleolar Organizer Regions and Nuclear DNA content

Katsuo Usuda, Yasuki Saito, Akira Sakurada, Yan Chen, Chiaki Endo, Satomi Takahashi, Keiji Kanma, Masami Sato, Motoyasu Sagawa, Shigefumi Fujimura

Research output: Contribution to journalArticlepeer-review

Abstract

A total of 65 resected cases of primary lung cancer were examined with regard to tumor doubling time (DT), argyrophil nucleolar organizer regions (Ag-NORs) and nuclear DNA content. Survival rates were compared among various categories according to each prognostic factor (univariate analyses), and significant factors affecting survival were determined by multivariate analyses using Cox's proportional hazard model. Univariate analyses showed significant differences in survival in relation to DT, smoking history, T factor, N factor, mean Ag-NOR counts, and DNA ploidy. Results of multivariate analyses proved that N factor, mean Ag-NOR counts, DNA ploidy and T factor were significant prognostic factors. There was a difference in biological significance between mean Ag-NOR counts and DNA ploidy. Mean Ag-NOR counts correlated to growth rate of tumor. DNA ploidy did not correlate with other prognostic factors, but was an independently significant prognostic factor.

Original languageEnglish
Pages (from-to)191-198
Number of pages8
JournalHaigan
Volume34
Issue number2
DOIs
Publication statusPublished - 1994

ASJC Scopus subject areas

  • Oncology
  • Pulmonary and Respiratory Medicine

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