Ma Chengquan, Yang Bin, Mao Quanzong
Department of Urology, Tianjin Medical University General Hospital, Tianjin, China.
Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Clin Genitourin Cancer. 2024 Apr;22(2):109-114. doi: 10.1016/j.clgc.2023.09.008. Epub 2023 Oct 1.
The aim was to explore the value of neutrophil-lymphocyte ratio (NLR) as a biomarker for predicting the prognosis or diagnosis in adrenocortical carcinoma (ACC).
We identified 262 patients with adrenal gland disease who underwent operation at our institution between 2013 and 2018. According to postoperative pathology, patients were divided into 2 groups: ACC and non-ACC groups. The neutrophil and lymphocyte count of patients were recorded. Within the intergroup comparison, data obtained from ACC and non-ACC groups were evaluated using ANOVA test. The cut-off values of NLR for the prognosis in ACC were determined according to 3 methods.
The NLR values of ACC and non-ACC groups were 5.36 ± 5.30 and (1.73 ± 0.26) ∼ (2.56 ± 1.35), respectively (P < .001). NLR carry a differential property was evaluated with ROC curve to distinguish the above 2 groups. The cut-off value of NLR was estimated as 2.65 according to the Youden index. With this value, sensitivity was found as 67.5%, specificity was 83.8% and AUC was 0.749 (P < .001, confidence interval = 0.638-0.860). In ACC, the higher NLR group was not shown significantly poorer overall survival than the lower NLR group (NLR ≥2.65 vs. NLR < 2.65, NLR ≥5 vs. NLR <5, NLR ≥5.36 vs. NLR <5.36) (P > .05).
According to the data in this study, it can be said that adrenocortical tumors are likely to be malignant by 67.5% if the NLR value is greater than 2.65. When we use the NLR to predict the prognosis of ACC, there is not statistically significant.
目的是探讨中性粒细胞与淋巴细胞比值(NLR)作为预测肾上腺皮质癌(ACC)预后或诊断的生物标志物的价值。
我们确定了2013年至2018年间在我院接受手术的262例肾上腺疾病患者。根据术后病理,将患者分为两组:ACC组和非ACC组。记录患者的中性粒细胞和淋巴细胞计数。在组间比较中,使用方差分析测试评估ACC组和非ACC组获得的数据。根据3种方法确定ACC预后的NLR临界值。
ACC组和非ACC组的NLR值分别为5.36±5.30和(1.73±0.26)~(2.56±1.35)(P<.001)。用ROC曲线评估NLR区分上述两组的鉴别特性。根据约登指数,NLR的临界值估计为2.65。以此值计算,敏感性为67.5%,特异性为83.8%,AUC为0.749(P<.001,置信区间=0.638-0.860)。在ACC中,较高NLR组的总生存率未显著低于较低NLR组(NLR≥2.65 vs.NLR<2.65,NLR≥5 vs.NLR<5,NLR≥5.36 vs.NLR<5.36)(P>.05)。
根据本研究数据,可以说如果NLR值大于2.65,肾上腺皮质肿瘤有67.5%的可能性为恶性。当我们使用NLR预测ACC的预后时,没有统计学意义。