Development and Validation of a Predictive Model of Therapeutic Effect in Patients with Esophageal Squamous Cell Carcinoma Who Received Neoadjuvant Treatment: A Nationwide Retrospective Study in Japan.

ABSTRACT

BACKGROUND: Neoadjuvant treatment has become the standard of care for patients with advanced esophageal cancer. However, few studies have elucidated the clinical factors that predict response to neoadjuvant therapy in a large multicenter cohort. We aimed to develop a predictive model of therapeutic effect in patients with esophageal squamous cell carcinoma (SCC) who received neoadjuvant treatment. METHODS: This nationwide study included 4078 patients from 85 institutions. Patients who received neoadjuvant treatment followed by surgery for esophageal SCC were eligible. We developed a logistic regression model to predict good pathological therapeutic effects, and a predictive nomogram was generated by applying the logistic regression formula. RESULTS: Among neoadjuvant regimens, cisplatin plus 5-fluorouracil (CF) was the most frequently used (60.2%), followed by docetaxel plus CF (DCF, 27.4%), CF with radiotherapy (CF-RT, 4.5%), adriamycin plus CF (3.6%), nedaplatin plus 5-fluorouracil (0.9%), and DCF-RT (0.5%). Multivariable analysis revealed that male sex, advanced cT category, and increased pretherapeutic SCC antigen level were independently associated with not achieving a good therapeutic effect. Moreover, intensified neoadjuvant regimens were independently associated with favorable therapeutic effects; DCF-RT elicited the best therapeutic effect, followed by CF-RT and DCF. A predictive model including nine commonly measured preoperative variables was generated, and the area under the curve was 0.679 (95% confidence interval 0.658-0.700). This nomogram was also adequately validated internally. CONCLUSIONS: The model developed in this study was validated and predicts the therapeutic effect in patients with esophageal SCC who received neoadjuvant treatment. This model might contribute to individualized treatment strategies.