Tumor Location Is a Significant Predictor of Lymphovascular Invasion in Patients With Small-sized Non-small Cell Lung Cancer

肿瘤位置是小体积非小细胞肺癌患者淋巴血管侵犯的重要预测因素

阅读:1

Abstract

BACKGROUND/AIM: Lymphovascular invasion is a well-established poor prognostic factor following limited resection in lung cancer patients. Therefore, predicting the presence of lymphovascular invasion based on clinical factors may facilitate the selection of the most appropriate surgical procedure. The aim of the present study was to identify preoperative predictive factors associated with pathological lymphovascular invasion. PATIENTS AND METHODS: A total of 248 primary lung cancer patients with cN0, computed tomography findings of ≤2.0 cm overall diameter, were included in this retrospective study. The presence of lymphovascular invasion was evaluated on a pathological basis, using resection specimens for factors of lymphatic and vascular invasions. Positive results for one or both factors were defined as positive for lymphovascular invasion. The diagnosis of lymphatic invasion was examined using immunostaining for D2-40. The presence of vascular invasion was evaluated using the elastic van Gieson staining method. RESULTS: Univariate analysis indicated that the presence of a smoking history, a consolidation tumor ratio (CTR) >0.5, an elevated CYFRA, and a tumor in the hilar location were significant predictive factors for lymphovascular invasion. In multivariate analysis, the CTR >0.5, elevation of CYFRA, and tumor hilar location were independent predictive factors for lymphovascular invasion. A statistically significant correlation between tumor location and lymphovascular invasion was also observed in both the adenocarcinoma and squamous cell carcinoma subgroups. CONCLUSION: Central lesions tended to exhibit higher frequency of lymphovascular invasion. Therefore, the expansion of limited resection for centrally located tumor lesions in small-sized NSCLC should be carefully considered.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。