嗜中性粒细胞和淋巴细胞比率(NLR)Trombocyte /淋巴细胞比率(TLR):预测腋窝淋巴结转移的乳腺癌患者?——Tugba汉尼珥——Baskent大学医学院
作品简介:前哨淋巴结活检是标准的申请评估乳腺癌患者腋窝疾病。Amer Z0011研究——我大学外科肿瘤组(ACOSOG)强调腋窝的解剖(AD)患者没有再保险笔替代性选择积极的前哨淋巴结(SLN) [1]。众所周知,腋窝淋巴结状态是一个重要的浸润性乳腺癌患者的预后指标[2,3]。前哨淋巴结活检(SLNB)据报道引起并发症少于腋窝淋巴结dissec, (ALND),尽管大量的研究显示伤口感染,血清肿、血肿、感觉异常、过敏反应isosulfan蓝色染料(4、5)。作为组件的系统性炎症反应,淋巴细胞、中性粒细胞和血小板increas——荷兰国际集团(ing)接受为汽车中扮演了重要角色——cinogenesis和肿瘤进展[6]。嗜中性粒细胞和淋巴细胞比率(NLR) trombocyte /淋巴细胞比率(TLR)和格拉斯哥预后评分系统是掠夺——nostic标记癌症[7]。高NLR就能够辨别出更大有关的(> 3.3)是肿瘤和晚期[8]。思米-拉尔,高TLR报道影响生存在胃肠道癌症[9]。NLR和TLR反映系统性炎症和各种癌症患者生存的独立预后价值[6、10]。然而,这些生物标记物在乳房的作用可以——cer预后是鲜为人知的。 Researchers have questioned whether NLR and TLR help to predict the axillary situation. This study therefore evaluated the relationships between preoperative NLR, TLR, clini- copathological factors, and axillary lymph node me- tastasis in stage I-III breast cancer. Patients and Methods: The study recruited 158 Stage I-III breast cancer patients operated on at Baskent University Zubeyde Hanim Research Center between 2011 and 2018. Sentinel lymph node biopsy and ax- illary lymph node clearance in the presence of senti- nel lymph node metastasis was performed on all the patients. Their medical records were examined and their medical history, age, radiological and patholog- ical results, and laboratory data were collected. Pa- tients who had received chemotherapy or received immunosuppressive drugs, such as glucocorticoids, cyclosporine, tacrolimus, or interferon, were exclud- ed. The pathological data were analyzed and size of tumor, histological grade, axillary lymph node status, hormone receptor status, Cerb B2 status, presence of lymphovascular invasion (LVI) and Patients and Methods perineural invasion (PNI), radiological re- sults, and laboratory data were evaluated. Estrogen receptor (ER) and progesterone receptor (PR) status were studied immunohistochemically (IHC). Venous blood samples were taken just before surgery. The ratio of neutrophil and trombocyte count to lympho- cyte count, and NLR cut-off values were calculated for both 3.5 and 1. Statistical analysis: Data were analyzed using SPPS 25 (IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.). Mean ± standard deviation, percentage and frequen- cy values of the variables were used. Variables were evaluated after checking for normality and homoge- neity of variances (Shapiro Wilk and Levene Test). The analysis showed that the prerequisites for inde- pendent 2-group t test (Student’s t test) where not met, so Mann Whitney-U test was used to compare the two groups. Categorical data were analyzed
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