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炎症和营养标志物可预测接受新辅助免疫化疗的局部晚期胃癌患者的反应和预后。

Inflammatory and nutritional markers predict response and prognosis of patients with locally advanced gastric cancer receiving neoadjuvant immunochemotherapy.

作者信息

Sun Yiwen, Liang Mengjie, Wang Xingzhou, Dong Wenting, Wu ZhenShui, Sun Feng, Lu Xiaofeng, Wang Feng, Liu Song, Wang Meng, Ai Shichao, Shen Xiaofei, Guan Wenxian

机构信息

Division of Gastric Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

School of Medical, Southeast University, Nanjing, Jiangsu Province, 210009, China.

出版信息

BMC Gastroenterol. 2025 Jul 1;25(1):478. doi: 10.1186/s12876-025-03874-3.

Abstract

BACKGROUND

Metabolism plays an important role in the occurrence and development of gastric cancer, including in neoadjuvant immunochemotherapy. However, whether nutrition-related indicators can predict the efficacy of neoadjuvant immunochemotherapy and the prognosis of gastric cancer patients has not been addressed. This study systematically screens various nutritional indicators to explore their efficacy in predicting responses to neoadjuvant immunochemotherapy and patients' prognosis in locally advanced gastric cancer (LAGC).

METHODS

We retrospectively analyzed 134 LAGC patients who underwent radical resection after neoadjuvant immunochemotherapy. According to postoperative tumor regression grade (TRG), these patients were divided into good responder group (TRG1-0) and poor responder group (TRG3-2) (AJCC/CAP guidelines). Inflammatory and/or nutritional markers were compared for their efficacy on predicting patients' pathological tumor regression response. The univariate and multivariate logistic regression were carried out to identify the independent factors for predicting pathological tumor regression response, and a predictive nomogram model was further established.

RESULTS

Among the total 134 LAGC patients, tumor specimens from 71 and 63 patients had TRG1-0 and TRG3-2 tumor responses, respectively. Multivariate analysis showed that controlling nutritional status (CONUT) score and nutrition risk screening 2002 (NRS2002) score were independent predictors of pathological tumor regression response (OR, 0.68; 95% CI, 0.50-0.91; P = 0.010 and OR, 0.66; 95% CI, 0.45-0.96; P = 0.031, respectively). With the use of ROC curve analysis, the optimal critical level of CONUT score and NRS2002 score were both 3. The CONUT-NRS2002 combined score was constructed. Patients with lower CONUT-NRS2002 had a better pathological response than those with higher CONUT-NRS2002 (P = 0.003). Moreover, Patients with higher CONUT-NRS2002 scores had poorer prognosis (P < 0.05). The nomogram based on CONUT score and NRS2002 score demonstrated good predictive ability and clinical application value.

CONCLUSIONS

CONUT score and NRS2002 score are independent factors of pathological tumor regression response in LAGC patients after neoadjuvant immunochemotherapy. The constructed CONUT-NRS2002 combined score has a good potential in predicting pathological tumor regression response and prognosis of LAGC patients after neoadjuvant immunochemotherapy, serving as a new predictive indicator.

摘要

背景

代谢在胃癌的发生发展中起重要作用,包括在新辅助免疫化疗中。然而,营养相关指标能否预测新辅助免疫化疗的疗效及胃癌患者的预后尚未得到探讨。本研究系统筛选各种营养指标,以探索其在预测局部晚期胃癌(LAGC)新辅助免疫化疗反应及患者预后方面的效果。

方法

我们回顾性分析了134例接受新辅助免疫化疗后行根治性切除术的LAGC患者。根据术后肿瘤退缩分级(TRG),将这些患者分为良好反应组(TRG1-0)和不良反应组(TRG3-2)(依据美国癌症联合委员会/美国病理学家学会指南)。比较炎症和/或营养标志物在预测患者病理肿瘤退缩反应方面的效果。进行单因素和多因素逻辑回归分析以确定预测病理肿瘤退缩反应的独立因素,并进一步建立预测列线图模型。

结果

在总共134例LAGC患者中,分别有71例和63例患者的肿瘤标本呈现TRG1-0和TRG3-2的肿瘤反应。多因素分析显示,控制营养状况(CONUT)评分和营养风险筛查2002(NRS2002)评分是病理肿瘤退缩反应的独立预测因素(OR分别为0.68;95%CI为0.50-0.91;P = 0.010以及OR为0.66;95%CI为0.45-0.96;P = 0.031)。通过ROC曲线分析,CONUT评分和NRS2002评分的最佳临界值均为3。构建了CONUT-NRS2002联合评分。CONUT-NRS2002较低者的病理反应优于较高者(P = 0.003)。此外,CONUT-NRS2002评分较高的患者预后较差(P < 0.05)。基于CONUT评分和NRS2002评分的列线图显示出良好的预测能力和临床应用价值。

结论

CONUT评分和NRS2002评分是LAGC患者新辅助免疫化疗后病理肿瘤退缩反应的独立因素。构建的CONUT-NRS2002联合评分在预测LAGC患者新辅助免疫化疗后的病理肿瘤退缩反应和预后方面具有良好潜力,可作为一种新的预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd3e/12210651/69c989af4bda/12876_2025_3874_Fig1_HTML.jpg

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