Lymph node metastasis in Chinese patients with clinical T1 non-small cell lung cancer: A multicenter real-world observational study.

Abstract:

BACKGROUND:Approximately 8.3-15.9% of patients with clinical stage I non-small cell lung cancer are subsequently shown to have lymph node metastasis. However, the clinical characteristics of patients with lymph node metastasis in China are not fully understood. METHODS:This is a multicenter retrospective analysis of pathological T1 non-small cell lung cancer patients who underwent surgical resection from 2 January 2014 to 27 December 2017. Clinical and pathological information was collected with the assistance of the Large-scale Data Analysis Center of Cancer Precision Medicine-LinkDoc database. The clinical and pathological factors associated with lymph node metastasis were analyzed by univariate and multivariate logistic regression. RESULTS:A total of 10 885 participants (51.6% women; 15.3% squamous cell carcinoma) were included in the analysis. The median age was 60.0 years (range 12.9-86.6 years). A total of 1159 patients (10.6%) had metastases in mediastinal nodes (N2), and 640 patients (5.9%) had metastasis in pulmonary lymph nodes (N1). Most patients had T1b lung cancer (4766, 43.8%). Of the patients, 3260 (29.9%) were current or former smokers. The univariate and multivariate analyses showed that younger age, squamous cell carcinoma, poor differentiation, larger tumor size, carcinoembryonic antigen level ≥5 ng/mL, and vascular invasion (+) were significantly associated with higher percentages of lymph node metastases (P < 0.001 for all). CONCLUSION:This real-world study showed the significant association of lymph node metastasis with age, tumor size, histology and differentiation, carcinoembryonic antigen levels, and status of vascular invasion. Female patients with T1a adenocarcinoma in the right upper lobe barely had lymph node metastasis.

journal_name

Thorac Cancer

journal_title

Thoracic cancer

authors

Chen B,Wang X,Yu X,Xia WJ,Zhao H,Li XF,Liu LX,Liu Y,Hu J,Fu XN,Li Y,Xu YJ,Liu DR,Yang HY,Xu L,Jiang F

doi

10.1111/1759-7714.12970

subject

Has Abstract

pub_date

2019-03-01 00:00:00

pages

533-542

issue

3

eissn

1759-7706

issn

1759-7714

journal_volume

10

pub_type

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