In a study of 188 patients undergoing neoadjuvant therapy for locally advanced esophageal cancer, researchers developed predictive nomograms showing strong performance for estimating tumor regression grade (TRG) and ypTNM stage. Notably, 129 patients reached TRG grades 0-1, while 118 achieved ypTNM stage I. Five independent TRG predictors included pulmonary function tests and combination immunotherapy. The models showed high ROC curve areas, indicating effective prediction capabilities, and were validated across different patient cohorts.
• Why it matters: Improved predictions could enhance treatment precision for esophageal cancer.
Journal Article by Qiu J, Zhang Z (…) Tian H et 6 al. in World J Surg Oncol
© 2024. The Author(s).