The prognostic power of major pathological response in esophageal squamous cell carcinoma patients undergoing neoadjuvant chemoimmunotherapy: a multi-center cohort study.

For esophageal squamous cell carcinoma(ESCC), neoadjuvant chemoimmunotherapy (nICT) constitutes an innovative therapeutic strategy. However, The relationship between its short-term efficacy and long-term prognosis requires further clarification. Therefore, this study aims to evaluate the prognostic significance of major pathological response (MPR) in ESCC patients receiving nICT.

This is a retrospective multi-center study enrolling 306 ESCC patients undergoing nICT. The primary endpoints were recurrence-free survival (RFS) and recurrence patterns. Propensity score matching (PSM) was applied to address heterogeneity between groups. Kaplan-Meier curves and Cox regression analysis were utilized to analyze survival difference.

144 achieved a MPR, while 68 achieved a pathological complete response (pCR). Cox regression analysis identified MPR as an independent prognostic factor [HR = 0.48, 95%CI= (0.28 - 0.82), P = 0.007]. Survival analysis demonstrated that MPR patients experienced significantly improved RFS compared to non-MPR patients, before (P<0.001) and after PSM (P = 0.016). Importantly, the RFS of MPR patients was comparable to that of pCR patients (P = 0.319 in the unmatched cohort; P = 0.456 in the matched cohort). Furthermore, adjuvant therapy did not provide additional recurrence-free benefits for MPR patients. Compared to pCR patients, MPR patients exhibited a similar recurrence rate, with similar recurrence sites.

MPR represents a significant prognostic indicator in ESCC patients undergoing nICT, demonstrating prognostic outcomes comparable to those of pCR. These findings indicated that MPR could function as a surrogate endpoint for pCR, potentially influencing treatment strategies by refining follow-up protocol and the implementation of adjuvant therapy.
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Authors

Xie Xie, Huang Huang, Tang Tang, Zhang Zhang, Xu Xu, Ke Ke, Xie Xie, Xu Xu, Chen Chen, Hong Hong, Kang Kang
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