scholarly journals High-Expression of Cytoplasmic Poly (A) Binding Protein 1 (PABPC1) as a Prognostic Biomarker for Early-Stage Esophageal Squamous Cell Carcinoma

2021 ◽  
Vol Volume 13 ◽  
pp. 5361-5372
Author(s):  
Jiangtao Pu ◽  
Tao Zhang ◽  
Dengguo Zhang ◽  
Kaiming He ◽  
Yonghong Chen ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Biomarker ◽  
Early Stage ◽  
Binding Protein ◽  
High Expression

scholarly journals A nomogram to predict lymph node metastasis risk for early esophageal squamous cell carcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaofeng Duan ◽  
Xiaobin Shang ◽  
Jie Yue ◽  
Zhao Ma ◽  
Chuangui Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Early Stage ◽  
Derivation Cohort ◽  
Node Metastasis

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.

scholarly journals High expression of PDGFA predicts poor prognosis of esophageal squamous cell carcinoma

Medicine ◽  
2021 ◽  
Vol 100 (20) ◽  
pp. e25932
Author(s):  
Na Han ◽  
Yan-Yan Zhang ◽  
Zhong-Mian Zhang ◽  
Fang Zhang ◽  
Teng-Yuan Zeng ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Poor Prognosis ◽  
High Expression

scholarly journals MicroRNA-146a as a Prognostic Biomarker for Esophageal Squamous Cell Carcinoma

2020 ◽  
Vol Volume 12 ◽  
pp. 973-980
Author(s):  
Maryam Sadegh Shesh Poli ◽  
Safoura Khajeniazi ◽  
Nasser Behnampour ◽  
Mohamad Reza Kalani ◽  
Abdolvahab Moradi ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Biomarker

scholarly journals High expression of cytokeratin CAM5.2 in esophageal squamous cell carcinoma is associated with poor prognosis

Medicine ◽  
2019 ◽  
Vol 98 (37) ◽  
pp. e17104 ◽  
Author(s):  
Shujin He ◽  
Jie Peng ◽  
Lei Li ◽  
Ying Xu ◽  
Xiaoxiao Wu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Poor Prognosis ◽  
High Expression
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