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Background: This study aimed to compare the feasibility of nab‐paclitaxel plus platinum‐based chemotherapy (nabTP) versus paclitaxel plus platinum‐based chemotherapy (TP) with immune checkpoint inhibitors (ICIs) as a neoadjuvant modality for locally resectable esophageal squamous cell carcinoma (ESCC). Methods: Between April 2019 and March 2022, we identified ESCC patients who received neoadjuvant immunotherapy with both nabTP (n = 213) and TP (n = 98) at our institution and Henan Cancer Hospital. The patients in the ICIs‐nabTP and ICIs‐TP groups were pair‐matched (1:1) for tumor location, sex, smoking, drinking, clinical T and N stage. The primary endpoint was the hazard of 30‐day major postoperative complications. Second, logistic models were applied to estimate the risk factors for pathological complete response (pCR) rate. Results: All patients underwent esophagectomy with R0 resection. A statistically significant increase in the risk of developing major pulmonary (odds ratio [OR], 1.182; 95% confidence interval [CI]: 0.530–2.635; p = 0.683), anastomotic (OR, 1.881; 95% CI: 0.607–5.830; p = 0.267), cardiac (OR, 1.000; 95% CI: 0.426–2.349; p = 1.000) complications after neoadjuvant immunotherapy plus nabTP was not observed. The median interval to surgery was 39 days in the ICIs‐nabTP group versus 44 days in the ICIs‐TP group (p = 0.119). There was no 30‐day mortality in each group. However, there was a slight difference in the 30‐day readmission rate (p = 0.043) and the incidence of hydropneumothorax (p = 0.027) between the two groups. The pCR rates of the ICIs‐nabTP and ICIs‐TP group were 36.7 and 21.4%, respectively (p = 0.018). Conclusions: It appears to be feasible to add immunotherapy to nabTP regimen for locally advanced ESCC. Compared with TP, nabTP plus ICIs can achieve a better pCR rate in ESCC. [ABSTRACT FROM AUTHOR]

Background: This retrospective study aimed to explore risk factors for liver metastases (LiM) in patients with esophageal cancer (EC) and to identify prognostic factors in patients initially diagnosed with LiM. Methods: A total of 28 654 EC patients were retrieved from the Surveillance, Epidemiology and End Results (SEER) database from 2010 to 2018. A multivariate logistic regression model was utilized to identify risk factors for LiM. A Cox regression model was used to identify prognostic factors for patients with LiM. Results: Of 28 654 EC patients, 4062 (14.2%) had LiM at diagnosis. The median overall survival (OS) for patients with and without LiM was 6.00 (95% CI: 5.70–6.30) months and 15.00 (95% CI: 14.64–15.36) months, respectively. Variables significantly associated with LiM included gender, age, tumor site, histology, tumor grade, tumor size, clinical T stage, clinical N stage, bone metastases (BoM), brain metastases (BrM) and lung metastases (LuM). Variables independently predicting survival for EC patients with LiM were age, histology, tumor grade, BoM, BrM, LuM, and chemotherapy. A risk prediction model and two survival prediction models were then constructed revealing satisfactory predictive accuracy. Conclusions: Based on the largest known cohort of EC, independent predictors of LiM and prognostic indicators of survival for patients with LiM were identified. Two models for predicting survival as well as a risk prediction model were developed with robust predictive accuracy. [ABSTRACT FROM AUTHOR]