Liu Yi, Yang Yanguang, Tai Guomei, Ni Feng, Yu Cenming, Zhao Wenjing, Wang Ding
Department of Radiotherapy, Affiliated Tumor Hospital of Nantong University, Nantong Tumor Hospital, Nantong, Jiangsu, China.
Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong Tumor Hospital, Nantong, Jiangsu, China.
Gastroenterol Res Pract. 2023 Jul 28;2023:8401579. doi: 10.1155/2023/8401579. eCollection 2023.
To clarify the relationship between preoperative platelet count/(lymphocyte count × prealbumin count) ratio (PLPR) and the prognosis of patients with gastric cancer undergoing a radical operation, combined with Tumor Node Metastasis (TNM) staging, a scoring system was established to guide clinical application.
The clinical data of 238 patients receiving radical operations for gastric cancer were retrospectively analyzed. According to the area under the Receiver operating characteristic curve, the predictive value of the preoperative PLPR for the 5-year overall survival (OS) of gastric cancer was determined, and the best cut-off value of the ratio was corresponding to the maximum value of Yoden index. Chi-squared test was applied to analyze the correlation between the ratio and clinicopathological features. Kaplan-Meier curve was applied to analyze the influence of this ratio on 5-year OS. The Cox regression model was applied to analyze the hazards affecting the long-term survival of patients. The nomogram model was used to predict the long-term survival rate.
The optimal cut-off point of preoperative PLPR ratio was 7.46, and the patients were segmented into two sets: one set of ratio <7.46 and another set of ratio ≥7.46. The ratio was correlated with the size of the tumor, T stage, N stage, total stage, vascular cancer thrombus, and nerve invasion. In stage I-III patients, the prognosis was better in the low-ratio set than in the high-ratio set ( < 0.001), subgroup analysis indicated the prognosis was obviously better in the low-ratio set than in the high-ratio set in stage II and III patients ( < 0.05 and < 0.001), but there was no difference in stage I patients ( > 0.05). Age, T stage, N stage, total TNM stage, tumor size, vascular tumor thrombus, nerve invasion, preoperative neutrophil count/lymphocyte count (NLR; reference value 3.68), preoperative PLPR (reference value 7.46), preoperative platelet count/lymphocyte count (PLR; reference value 159.56), and preoperative platelet count × NLR (SII; reference value 915.48) were related to patient prognosis ( < 0.05); meanwhile age, total TNM stage, preoperative PLPR (reference value 7.46), preoperative PLR (reference value 159.56), and preoperative SII (reference value 915.48) were independent hazards for prognosis ( < 0.05). Five independent risk factors were analyzed by nomogram model to predict the 5-year OS of patients who underwent a radical operation for carcinoma of the stomach.
Preoperative PLPR ratio (reference value 7.46) is an independent risk factor for long-term prognosis in patients undergoing a radical operation for gastric cancer. The nomogram scoring system established by postoperative TNM staging combined with this ratio and age, PLR, and SII can better forecast the survival of patients who underwent radical operation for carcinoma of the stomach.
为阐明术前血小板计数/(淋巴细胞计数×前白蛋白计数)比值(PLPR)与接受根治性手术的胃癌患者预后之间的关系,结合肿瘤淋巴结转移(TNM)分期,建立一种评分系统以指导临床应用。
回顾性分析238例行胃癌根治性手术患者的临床资料。根据受试者工作特征曲线下面积,确定术前PLPR对胃癌5年总生存(OS)的预测价值,该比值的最佳截断值对应约登指数的最大值。采用卡方检验分析该比值与临床病理特征的相关性。应用Kaplan-Meier曲线分析该比值对5年OS的影响。采用Cox回归模型分析影响患者长期生存的危险因素。使用列线图模型预测长期生存率。
术前PLPR比值的最佳截断点为7.46,患者被分为两组:一组比值<7.46,另一组比值≥7.46。该比值与肿瘤大小、T分期、N分期、总分期、血管癌栓和神经侵犯相关。在I-III期患者中,低比值组的预后优于高比值组(<0.001),亚组分析表明,在II期和III期患者中,低比值组的预后明显优于高比值组(<0.05和<0.001),但I期患者无差异(>0.05)。年龄、T分期、N分期、总TNM分期、肿瘤大小、血管肿瘤栓子、神经侵犯、术前中性粒细胞计数/淋巴细胞计数(NLR;参考值3.68)、术前PLPR(参考值7.46)、术前血小板计数/淋巴细胞计数(PLR;参考值159.56)和术前血小板计数×NLR(SII;参考值915.48)与患者预后相关(<0.05);同时,年龄、总TNM分期、术前PLPR(参考值7.46)、术前PLR(参考值159.56)和术前SII(参考值915.48)是预后的独立危险因素(<0.05)。通过列线图模型分析五个独立危险因素以预测接受胃癌根治性手术患者的5年OS。
术前PLPR比值(参考值7.46)是接受胃癌根治性手术患者长期预后的独立危险因素。由术后TNM分期结合该比值以及年龄、PLR和SII建立的列线图评分系统能够更好地预测接受胃癌根治性手术患者的生存情况。