Background. Relationships between tumor doubling time (DT) and other prognostic factors and the risk of death related to these factors are not yet fully understood. Methods. Tumor doubling time of primary lung carcinomas of 174 patients, detected in a limited number of local municipalities during a limited period, was calculated using the Schwartz formula. Survival rate of the 174 patients was compared with reference to categories of prognostic factors (univariate analyses) and significant factors affecting survival were identified by multivariate analyses using the Cox proportional hazard model. Results. Tumor doubling time had a log normal distribution. There was a significant difference in mean DT in relation to sex, smoking history, presence of symptoms, cell type, primary tumor factor, and stage. Univariate analyses showed a significant difference in survival in relation to DT, age, sex, method of tumor detection, smoking history, symptoms, therapy, cell type, primary tumor (T) factor, regional lymph node (N) factor, distant metastasis (M) factor, and stage. Multivariate analyses using the Cox's proportional hazard model in a stepwise fashion identified a final set of five significant variables: N factor (P = 0.0001); therapy (P = 0.0016); M factor (P = 0.0017); T factor (P = 0.0018), and DT (P = 0.0152). Conclusions. Tumor doubling time was an independent and significant prognostic factor for lung cancer patients.

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The combination of IMP3 and GLUT1 is most appropriate for distinguishing MM from RMC using FFPE sections.

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We supported most of the revision, such as dividing stage I, dividing stage II, and putting T3 N0 M0 to stage IIB. Furthermore, we found some candidates for a subsequent revision, such as putting T3 N1 M0 to stage IIB, putting T2 N0 M0 and T1 N1 M0 together, regarding diaphragm invasion as T4, and putting T3 N2 M0 to stage IIIB.