Fan Meng, Tang Jin, Du Wei, Du Yang-Feng, Liu Hai-Jun
Department of Gastrointestinal Surgery, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City) Changde 415000, Hunan, China.
Am J Cancer Res. 2024 Aug 25;14(8):3922-3934. doi: 10.62347/PAYM2267. eCollection 2024.
To investigate the value of prognostic nutrition index (PNI) and systemic immunoinflammatory index (SII) for predicting pathological responses of patients with advanced gastric cancer (GC) after neo-adjuvant chemotherapy (NACT). The clinicopathological data of 326 patients with advanced GC who received NACT in Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City) from January 2017 to December 2021 were retrospectively collected. The SII and PNI of patients were calculated. The receiver operating characteristics (ROC) curve was leveraged for getting the optimal cutoff values of SII and PNI. The pathological response of patients after NACT, as obtained from their postoperative pathological examinations, was evaluated based on the tumor regression grade (TRG) criteria. Multivariate regression analysis was employed for identifying factors that led to various pathological responses after NACT in advanced GC patients. The log-rank test was utilized for between-group comparison of patients' survival curves. The SII and PNI were 507.45 and 48.48 respectively, and their levels were divided into high and low groups. Pathological response (TRG 0-1) was observed in 66 cases (20.25%), while non-pathological response (TRG 2-3) was observed in 260 cases (79.75%). The results of multivariate logistic regression analysis showed that tumor diameter < 5 cm, ypT T0-T2, ypN N0, chemotherapy regimen XELOX (capecitabine combined with oxaliplatin), SII < 507.45 (P=0.002), PNI > 48.48 were all independent factors affecting the pathological responses of advanced GC patients after NACT (all P < 0.05). With SII and PNI being included, the AUC was 0.821 (95% CI: 0.765-0.876), and the specificity was 87.90% and the sensitivity was 64.20%. The Kaplan-Meier survival curve analysis showed that NACT patients with tumor diameter < 5 cm, ypT T0-T2, ypN N0, XELOX chemotherapy regimen, SII < 507.45 and SII ≥ 507.45 had a higher survival rate. (P < 0.001). Before treatment, tumor diameter < 5 cm, ypT T0-T2, ypN N0, chemotherapy regimen XELOX, SII < 507.45, PNI > 48.48 were all independent factors affecting the pathological response of advanced GC patients after NACT. Moreover, the inclusion of SII and PNI increased the accuracy of predicting the pathological response of patients after NACT.
探讨预后营养指数(PNI)和全身免疫炎症指数(SII)对预测晚期胃癌(GC)患者新辅助化疗(NACT)后病理反应的价值。回顾性收集了2017年1月至2021年12月在中南大学湘雅医学院(常德市第一人民医院)接受NACT的326例晚期GC患者的临床病理资料。计算患者的SII和PNI。利用受试者工作特征(ROC)曲线获得SII和PNI的最佳截断值。根据肿瘤退缩分级(TRG)标准评估患者NACT后经术后病理检查获得的病理反应。采用多因素回归分析确定晚期GC患者NACT后导致不同病理反应的因素。采用对数秩检验进行患者生存曲线的组间比较。SII和PNI分别为507.45和48.48,其水平分为高、低组。66例(20.25%)观察到病理反应(TRG 0-1),260例(79.75%)观察到非病理反应(TRG 2-3)。多因素logistic回归分析结果显示,肿瘤直径<5 cm、ypT T0-T2、ypN N0、化疗方案XELOX(卡培他滨联合奥沙利铂)、SII<507.45(P=0.002)、PNI>48.48均为影响晚期GC患者NACT后病理反应的独立因素(均P<0.05)。纳入SII和PNI后,AUC为0.821(95%CI:0.765-0.876),特异性为87.90%,敏感性为64.20%。Kaplan-Meier生存曲线分析显示,肿瘤直径<5 cm、ypT T0-T2、ypN N0、XELOX化疗方案、SII<507.45和SII≥507.45的NACT患者生存率较高(P<0.001)。治疗前,肿瘤直径<5 cm、ypT T0-T2、ypN N0、化疗方案XELOX、SII<507.45、PNI>48.48均为影响晚期GC患者NACT后病理反应的独立因素。此外,纳入SII和PNI提高了预测患者NACT后病理反应的准确性。