Clinicopathological parameters predicting recurrence of pT1N0 esophageal squamous cell carcinoma
Year: 2018
Type: article
Study design: Observational Study
Abstract: AIM: To identify the clinicopathological characteristics of pT1N0 esophageal squamous cell carcinoma (ESCC) that are associated with tumor recurrence. METHODS: We reviewed 216 pT1N0 thoracic ESCC cases who underwent esophagectomy and thoracoabdominal two-field lymphadenectomy without preoperative chemoradiotherapy. After excluding those cases with clinical follow-up recorded fewer than 3 mo and those who died within 3 mo of surgery, we included 199 cases in the current analysis. Overall survival and recurrence-free survival were assessed by the Kaplan-Meier method, and clinicopathological characteristics associated with any recurrence or distant recurrence were evaluated using univariate and multivariate Cox proportional hazards models. Early recurrence (≤ 24 mo) and correlated parameters were assessed using univariate and multivariate logistic regression models. RESULTS: = 0.002, respectively), and a nomogram for predicting recurrence-free survival with these three predictors was constructed. Upper thoracic tumor location and angiolymphatic invasion were independent predictors of distant recurrence. Upper thoracic tumor location, angiolymphatic invasion, submucosal invasion thickness, and diameter of the largest single tongue of invasion were independent predictors of early recurrence. CONCLUSION: These results should be useful for designing optimal individual follow-up and therapy for patients with T1N0 ESCC.
Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College, National Cancer Center, National Clinical Research, National Cancer Institute, Cancer Hospital of Chinese Academy of Medical Sciences, Division of Cancer Epidemiology and Genetics, State Key Laboratory of Molecular Oncology, Central South University, Hunan Cancer Hospital, Chengde Medical University
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W2905503249
