scholarly journals Retrospective analysis of predictive factors for lymph node metastasis in superficial esophageal squamous cell carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rongwei Ruan ◽  
Shengsen Chen ◽  
Yali Tao ◽  
Jiangping Yu ◽  
Danping Zhou ◽  
...  

AbstractThis study aimed to identify the risk factors of lymph node metastasis (LNM) in superficial esophageal squamous cell carcinoma and use these factors to establish a prediction model. We retrospectively analyzed the data from training set (n = 280) and validation set (n = 240) underwent radical esophagectomy between March 2005 and April 2018. Our results of univariate and multivariate analyses showed that tumor size, tumor invasion depth, tumor differentiation and lymphovascular invasion were significantly correlated with LNM. Incorporating these 4 variables above, model A achieved AUC of 0.765 and 0.770 in predicting LNM in the training and validation sets, respectively. Adding macroscopic type to the model A did not appreciably change the AUC but led to statistically significant improvements in both the integrated discrimination improvement and net reclassification improvement. Finally, a nomogram was constructed by using these five variables and showed good concordance indexes of 0.765 and 0.770 in the training and validation sets, and the calibration curves had good fitting degree. Decision curve analysis demonstrated that the nomogram was clinically useful in both sets. It is possible to predict the status of LNM using this nomogram score system, which can aid the selection of an appropriate treatment plan.

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 ◽  
...  

2010 ◽  
Vol 286 (12) ◽  
pp. 10725-10734 ◽  
Author(s):  
Zhao-li Chen ◽  
Xiao-hong Zhao ◽  
Ji-wen Wang ◽  
Bao-zhong Li ◽  
Zhen Wang ◽  
...  

microRNAs (miRNAs) regulate gene expression at the post-transcriptional level and play important roles in tumor initiation and progression. Recently, we examined the global miRNA expression profile of esophageal squamous cell carcinoma (ESCC) and demonstrated that miR-92a was highly expressed in tumor tissues. In this study, we found that the up-regulation of miR-92a was significantly correlated with the status of lymph node metastasis and TNM stage in 107 ESCC patients. Moreover, the up-regulation of miR-92a was associated with poor survival of ESCC patients and might be used as an independent prognostic factor. Next, we investigated the role and mechanism of miR-92a in ESCC cells, and found that miR-92a modulated the migration and invasion but not apoptosis and proliferation of ESCC cells in vitro. We further demonstrated that miR-92a directly targeted the CDH1 3′-UTR and repressed the expression of CDH1, a tumor metastasis suppressor. In addition, restoring of miR-92a-resistant CDH1 expression in miR-92a-overexpression cells recovered the pro-metastasis activity of miR-92a. Taken together, we demonstrated that miR-92a promotes ESCC cell migration and invasion at least partially via suppression of CDH1 expression, and patients with up-regulated miR-92a are prone to lymph node metastasis and thus have poor prognosis.


Sign in / Sign up

Export Citation Format

Share Document