Yang Yalan, Xin Dao, Wang Huike, Guan Lulu, Meng Xiangrui, Lu Taiying, Bai Xiwen, Wang Feng
Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Department of Medical Oncology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
J Inflamm Res. 2023 Apr 5;16:1443-1455. doi: 10.2147/JIR.S395231. eCollection 2023.
Neoadjuvant immunochemotherapy (nICT) for resectable locally advanced esophageal squamous cell carcinoma (LA-ESCC) has attracted widespread attention recently, whose safety and clinical benefit was observed in clinical researches. This study aimed to develop and validate a novel predictor systemic inflammation-tumor markers index (SITI) to predict the pathological complete response (pCR) for resectable LA-ESCC patients receiving nICT.
A total of 147 LA-ESCC patients who underwent nICT followed by surgery from February 2020 to April 2022 were included in the study. The dynamic change of inflammatory indexes was compared at baseline, after two cycles of nICT and postoperative one month. Least absolute shrinkage and selection operator (LASSO) regression was performed to avoid collinearity and identify key indexes, with SITI constructed. After univariate and multivariate stepwise forward logistic analyses, a nomogram for pCR prediction was developed.
41(27.9%) patients achieved pCR among 147 resectable LA-ESCC patients received nICT. Compared with baseline, most inflammatory indexes were significantly decreased at postoperative one month. 5 key indexes were identified and then a predictive index named SITI was constructed. The result showed that lower SITI and earlier clinical tumor node metastasis (cTNM) stage were more likely to achieve pCR. The nomogram for pCR prediction had excellent discrimination performance (C-index = 0.791).
The SITI is an independent predictor for pCR in resectable LA-ESCC patients received nICT. To our knowledge, our nomogram is the first model using systemic inflammation-tumor markers for pCR prediction and may be a promising predictor to effectively differentiate pCR for nICT in LA-ESCC patients.
可切除的局部晚期食管鳞状细胞癌(LA-ESCC)的新辅助免疫化疗(nICT)近来受到广泛关注,其安全性和临床获益已在临床研究中得到观察。本研究旨在开发并验证一种新型预测指标——全身炎症-肿瘤标志物指数(SITI),以预测接受nICT的可切除LA-ESCC患者的病理完全缓解(pCR)情况。
本研究纳入了2020年2月至2022年4月期间接受nICT后行手术治疗的147例LA-ESCC患者。比较了基线、nICT两个周期后及术后1个月时炎症指标的动态变化。采用最小绝对收缩和选择算子(LASSO)回归以避免共线性并识别关键指标,构建SITI。经过单因素和多因素逐步向前逻辑分析,开发了用于pCR预测的列线图。
147例接受nICT的可切除LA-ESCC患者中,41例(27.9%)达到pCR。与基线相比,大多数炎症指标在术后1个月时显著降低。识别出5个关键指标,随后构建了一个名为SITI的预测指标。结果显示,较低的SITI和更早的临床肿瘤淋巴结转移(cTNM)分期更有可能实现pCR。pCR预测列线图具有出色的区分性能(C指数 = 0.791)。
SITI是接受nICT的可切除LA-ESCC患者pCR的独立预测指标。据我们所知,我们的列线图是首个使用全身炎症-肿瘤标志物进行pCR预测的模型,可能是有效区分LA-ESCC患者nICT中pCR的有前景的预测指标。