scholarly journals Pathologic Stage IB Esophageal Squamous Cell Carcinoma AJCC v8

2020 ◽  
Author(s):  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lei-Lei Wu ◽  
Qi-Long Ma ◽  
Wei Huang ◽  
Xuan Liu ◽  
Li-Hong Qiu ◽  
...  

Abstract Background To explore the postoperative prognosis of esophageal squamous cell carcinoma (ESCC) patients with stage IB/IIA, using a prognostic score (PS). Methods Stage IB/IIA ESCC patients who underwent esophagectomy from 1999 to 2010 were included. We retrospectively recruited 153 patients and extracted their medical records. Moreover, we analyzed the programmed death ligand-1 (PD-L1) expression of their paraffin tissue. The cohort were randomly divided into a training group (N = 123) and a validation group (N = 30). We selected overall survival (OS) as observed endpoint. Prognostic factors with a multivariable two-sided P < 0.05 met standard of covariate inclusion. Results Univariable and multivariable analyses identified pTNM stage, the number of lymph nodes (NLNs) and PD-L1 expression as independent OS predictors. Primary prognostic score which comprised above three covariates adversely related with OS in two cohorts. PS discrimination of OS was comparable between the training and internal validation cohorts (C-index = 0.774 and 0.801, respectively). In addition, the PS system had an advantage over pTNM stage in the identification of high-risk patients (C-index = 0.774 vs. C-index = 0.570, P < 0.001). Based on PS cutoff, training and validation datasets generated low-risk and high-risk groups with different OS. Our three-factor PS predicted OS (low-risk subgroup vs. high-risk subgroup 60-month OS, 74% vs. 23% for training cohort and 83% vs. 45% for validation cohort). Conclusion Our study suggested a PS for significant clinical stratification of IB/IIA ESCC to screen out subgroups with poor prognosis.


2016 ◽  
Vol 27 ◽  
pp. vii76
Author(s):  
Ken Kato ◽  
Takashi Kojima ◽  
Yoshinori Ito ◽  
Hiroyasu Igaki ◽  
Hiroyuki Daiko ◽  
...  

Cancer ◽  
2002 ◽  
Vol 94 (4) ◽  
pp. 929-933 ◽  
Author(s):  
Kentaro Kato ◽  
Yasuhiro Hida ◽  
Masaki Miyamoto ◽  
Hideaki Hashida ◽  
Toshiya Shinohara ◽  
...  

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