Can we predict lymph node metastasis by using preoperative markers in gastric cancer patients

Q4 Medicine Nowotwory Pub Date : 2019-06-18 DOI:10.5603/2019.0002
M. Pryt, M. Kalwas, D. Nejc, A. Jeziorski
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Abstract

Introduction. Lymph node involvement is a negative prognostic factor for patients undergoing curative gastrectomy and indication for preoperative chemotherapy, thus a sufficient assessment strategy is required. We aimed to establish the value of preoperatively collected data in prediction of lymph node metastasis. Material and methods. We conducted a retrospective analysis of 150 gastric cancer patients hospitalized in the Department of Surgical Oncology, Medical University of Łodź in 2011–2017. We gathered information comprising clinicopathological features, inflammatory markers: neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic inflammatory response index (SIRI) and Tumor Index (TI). Results. Independent factors associated with lymph node involvement were: NLR (OR = 1.35; p = 0.01), Tumor Index (OR = 1.07; p < 0.001). ROC curve plots assessed the diagnostic value of TI and NLR. Conclusions. Tumor Index and NLR are factors indicating lymph node metastasis in gastric cancer patients. NLR is a potentially useful tool for neoadjuvant chemotherapy qualification.
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胃癌患者术前标志物能否预测淋巴结转移
介绍。淋巴结受累是治疗性胃切除术患者的不良预后因素,也是术前化疗的指征,因此需要充分的评估策略。我们的目的是建立术前收集的数据在预测淋巴结转移的价值。材料和方法。我们对2011-2017年在Łodź医科大学外科肿瘤科住院的150例胃癌患者进行回顾性分析。我们收集的信息包括临床病理特征、炎症标志物:中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、全身炎症反应指数(SIRI)和肿瘤指数(TI)。结果。与淋巴结受累相关的独立因素有:NLR (OR = 1.35;p = 0.01),肿瘤指数(OR = 1.07;P < 0.001)。ROC曲线图评估TI和NLR的诊断价值。结论。肿瘤指数和NLR是胃癌患者淋巴结转移的指标。NLR是新辅助化疗鉴定的潜在有用工具。
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来源期刊
Nowotwory
Nowotwory Medicine-Oncology
CiteScore
0.90
自引率
0.00%
发文量
44
期刊介绍: NOWOTWORY Journal of Oncology publishes papers which cover all aspects of oncology but concentrates on clinical studies, both research orientated and treatment orientated, rather than on laboratory studies. Contributions are also welcomed from the fields of epidemiology, tumor pathology, radiobiology and radiation physics.
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