@article{JGO25899,
author = {Nathawadee Lerttanatum and Chadin Tharavej and Yuda Chongpison and Anapat Sanpavat},
title = {Comparison of tumor regression grading system in locally advanced esophageal squamous cell carcinoma after preoperative radio-chemotherapy to determine the most accurate system predicting prognosis},
journal = {Journal of Gastrointestinal Oncology},
volume = {10},
number = {2},
year = {2018},
keywords = {},
abstract = {Background: Nowadays, preoperative radio-chemotherapy is a standard treatment for locally advanced esophageal squamous cell carcinoma (ESCC). Tumor regression grade (TRG), referring to a classification of cancer response to preoperative treatment, can predict a prognosis of survival. Many TRG systems are proposed for use in esophageal cancer, but none of them has become standard grading system. This research compared five TRG systems, including Mandard system, Chirieac system, Schneider system, Hermann system, and Japan Esophageal Society (JES) system, to find the most accurately predictive system.
Methods: We recruited 37 participants with locally advanced ESCC from 2006 to 2014. All of them were treated with radio-chemotherapy followed by esophagectomy. The resection specimens were evaluated microscopically for percentage of viable residual tumor comparing with tumor bed, number of positive lymph nodes and, consequently, assigned TRG grade according to each TRG system. Kaplan-Meier (KM) graphs were used to describe the median survival time. Log-rank tests and cox proportional hazard regression models were used in assessing associations between TRG systems and survival. Proportional hazard assumptions were evaluated on the basis of Schoenfeld and log-log plot. Akaike information criterion (AIC) values and pseudo R-squared values assessed model fit. All statistical tests were two-sided.
Results: The KM graphs displayed overlapped curves in all TRG systems. The log-rank tests revealed that Schneider, JES and Mandard systems were statistically associated with overall-survival (P},
issn = {2219-679X}, url = {https://jgo.amegroups.org/article/view/25899}
}