scholarly journals Risk factors of lymph node metastasis in lung squamous cell carcinoma of 3 cm or less in diameter

Medicine ◽  
2017 ◽  
Vol 96 (29) ◽  
pp. e7563 ◽  
Author(s):  
Lijian Huang ◽  
Wenshan Li ◽  
Lufeng Zhao ◽  
Baizhou Li ◽  
Ying Chai
BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaofeng Duan ◽  
Xiaobin Shang ◽  
Jie Yue ◽  
Zhao Ma ◽  
Chuangui Chen ◽  
...  

Abstract Background A nomogram was developed to predict lymph node metastasis (LNM) for patients with early-stage esophageal squamous cell carcinoma (ESCC). Methods We used the clinical data of ESCC patients with pathological T1 stage disease who underwent surgery from January 2011 to June 2018 to develop a nomogram model. Multivariable logistic regression was used to confirm the risk factors for variable selection. The risk of LNM was stratified based on the nomogram model. The nomogram was validated by an independent cohort which included early ESCC patients underwent esophagectomy between July 2018 and December 2019. Results Of the 223 patients, 36 (16.1%) patients had LNM. The following three variables were confirmed as LNM risk factors and were included in the nomogram model: tumor differentiation (odds ratio [OR] = 3.776, 95% confidence interval [CI] 1.515–9.360, p = 0.004), depth of tumor invasion (OR = 3.124, 95% CI 1.146–8.511, p = 0.026), and tumor size (OR = 2.420, 95% CI 1.070–5.473, p = 0.034). The C-index was 0.810 (95% CI 0.742–0.895) in the derivation cohort (223 patients) and 0.830 (95% CI 0.763–0.902) in the validation cohort (80 patients). Conclusions A validated nomogram can predict the risk of LNM via risk stratification. It could be used to assist in the decision-making process to determine which patients should undergo esophagectomy and for which patients with a low risk of LNM, curative endoscopic resection would be sufficient.


2008 ◽  
Vol 23 (4) ◽  
pp. 619-625 ◽  
Author(s):  
Dong Uk Kim ◽  
Jun Haeng Lee ◽  
Byung-Hoon Min ◽  
Sang Goon Shim ◽  
Dong Kyung Chang ◽  
...  

2018 ◽  
Vol 71 (8) ◽  
pp. 721-728 ◽  
Author(s):  
Ling Chen ◽  
Meihui Chen ◽  
Zenglei Han ◽  
Fengxing Jiang ◽  
Chunyuan Xu ◽  
...  

AimsWe aimed to determine whether cancer-associated fibroblasts (CAFs) are associated with microvessel density (MVD) and lymphatic vessel density (LVD) in lung squamous cell carcinoma, as well as their clinical significance in predicting survival.Methods122 patients were enrolled in the study. Samples were obtained on resection at the Department of Thoracic Surgery of the Qingdao Municipal Hospital between January 2011 and December 2014. Immunohistochemistry was used to determine vessel and lymphatic vessel density, and CAF abundance (fibroblast activation protein α (FAP-α) positivity). Statistical analyses were performed on 85 patients to test for correlation of CAF density and other clinicopathological variables with 3-year overall survival (OS) and disease-free survival (DFS).ResultsHigh stromal CAF abundance significantly correlated with increased MVD and LVD in lung squamous cell carcinoma (p<0.05). χ2 test revealed a significant association of CAF density with lymph node metastasis. Cox proportional hazards model showed that both higher CAF density and lymph node metastasis negatively correlate with survival. CAF density or lymph node status can be used as an independent prognostic factor to predict 3-year OS and DFS.ConclusionsCAF density, identified by FAP-α staining pattern, should be considered as a novel biomarker for disease prognosis in patients with lung squamous cell carcinoma.


2020 ◽  
pp. 014556132090161
Author(s):  
Lu-ying Chen ◽  
Wei-bin Weng ◽  
Wen Wang ◽  
Jian-fu Chen

Laryngeal squamous cell carcinoma (LSCC) is one of the most common laryngeal tumors, and its incidence is increasing yearly; however, whether lymph node dissection should be performed during surgery remains unclear. We retrospectively analyzed the clinical and pathological data of 246 cases of LSCC and developed a nomogram for the prediction of lymph node metastasis (LNM) of LSCC. The predictive performance and consistency of the model were evaluated using the consistency coefficient (C-index) and calibration curve, respectively. Among 246 cases of LSCC, 52 cases had metastasis with a positivity rate of 21.14%. Multivariate analyses showed that dysphagia, clinical T stage, and pathological differentiation were independent risk factors for LNM in LSCC. The accuracy of the contour map used to predict the risk for LNM was 0.809. Overall, this nomogram model can be used to evaluate LNM in patients with LSCC before surgery to decide whether to conduct neck dissection and improve patient prognosis.


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