Evaluation of extratumoral lymphatic permeation in non-small cell lung cancer as a means of predicting outcome

Impact of Extratumoral Lymphatic Permeation on Postoperative Survival of Non–Small-Cell Lung Cancer Patients

“…We previously reported that ly2 was a useful prognostic marker, 12 but this study could describe only RFS because of short follow-up period and small number of patients. The present study with enough long follow-up period and large cohorts could evaluate OS.…”

“…Lymphatic permeation was suspected when floating tumor cells were identified in vessels with no supporting smooth muscles or when elastic fibers were identified. 12,14,15 If lymphatic permeation was suspected in the HE sections, we also performed immunohistochemical staining with anti-D2-40 antibody to confirm the visualization of the lymphatic vessels (Fig. 1).…”

“…We had previously reported that patients with ly2 NSCLC significantly developed more recurrence than patients with ly1 tumor. 12 However, the follow-up duration was relatively short, and the 5-year survival data were not available at that time. We continued to classify lymphatic permeation, and thus the longer-term follow-up data are now available.…”

Intra-tumoral vascular or perineural invasion as prognostic factors for long-term survival in early stage non-small cell lung carcinoma☆

“…In the study from Saijo et al [20], stages I-III were all included and in their multivariate analysis, the pN factor was by far the most powerful predictor of death in the overall survival and recurrence-free survival analysis. Moreover, in the stage I subgroup analysis, the authors compared the only nine patients with extra-tumoral lymphatic tumor permeation.…”

A logistic regression predictive model and the outcome of patients with resected lung adenocarcinoma of 2 cm or less in size

“…The predictive model consists of five independent variables, all of which are clinicopathological factors measured with ease in clinical practice as follows: vascular invasion, lymphatic permeation, histological subtype, papillary carcinoma component, and smoking status. Although all of the variables have previously been reported to correlate significantly with the outcome of patients with lung adenocarcinomas [7,8,[20][21][22][23][24][25], the objective of the present study was to establish a predictive model for recurrence using logistic regression, as widely used in clinical epidemiology [10,11]. In the 28 male patients of the original cohort, 87% of the male patients classified into the recurrence group had relapsed after surgery, while 85% of the patients in the non-recurrence group were alive and well during their followup periods (Table 6 and Fig.…”