| Objective:The purpose of this study was to investigate the relationship between NLR,PLR,LMR and the clinicopathological features and prognosis of patients with gastric cancer,in order to guide the clinical diagnosis and treatment of gastric cancer.Materials and Methods : The clinical data of 650 patients with gastric cancer(adenocarcinoma pathology)who were admitted to the hospital for the first time from June2009 to June 2013 were collected: preoperative blood routine results,tumor marker results,basic characteristics,and clinicopathological features.Basic features: age,gender.Clinical features: tumor location,tumor size,Borrmann type,depth of invasion,pathological stage,presence or absence of tumor thrombus,and degree of differentiation.Common tumor markers: CEA,CA-199.For prognostic analysis,650 cases of gastric cancer patients were screened for lost follow-up cases,cases that could not be predicted for a specific survival time,and cases that died from other causes were included in the survival analysis of 550 cases.SPSS 20.0 software was used for statistical analysis.Measured data of normal distribution were expressed as mean±standard deviation: t-test or rank-sum test was used for comparison between groups,which did not meet the normal distribution;quartiles were used for normal distribution;χ2 was used for comparison between groups.Compare.Multivariate analysis was performed using logistic regression analysis.Log-rank validates the survival curve.The values of NLR,PLR,and LMR were calculated first,and the medians 3,130,and3.5 were taken as the critical values respectively.The scores were divided into high and low groups.The relationship between NLR,PLR,LMR,basic features,and clinicopathological features was compared between the two groups.Then Logistic regression analysis was performed to establish the independent influence factors of NLR,PLR,and LMR values.Survival analysis was performed by Kaplan Meier survival analysis in 550 patients included in the survival analysis.Univariate analysis was performed;single factor positive results were included in the COX regression analysis for multivariate analysis.Results:For the 650 gastric cancer patients studied,the median 3-level NLR value was taken and divided into two groups: high NLR group(≥3)and low NLR group(<3),which were 255 cases and 399 cases respectively.Univariate analysis showed that different NLRs had statistically significant differences in age,tumor size,depth of invasion,lymph node metastasis,TNM staging,CEA,and CA-199.There was no significant difference in gender,tumor location,Borrmann classification,differentiation of different NLR values.Logisticregression analysis showed that the differences in tumor size,pathological stage,and infiltration depth were statistically significant,indicating that tumor size,pathological stage,and depth of invasion were independent factors influencing the NLR value.For the 650 gastric cancer patients studied,the median PLR of 130 was taken as the critical value,and divided into two groups: high PLR(≥130)and low PLR(<130),which were 264 cases and 386 cases respectively.Univariate analysis showed that PLR at different levels had statistically significant differences in age,tumor size,depth of invasion,lymph node metastasis,TNM staging,CEA,and CA-199.There was no significant difference in gender,tumor location,Borrmann type,and differentiation of different PLR values.Logistic regression analysis showed that the tumor size,pathological stage,and depth of invasion were statistically significant,indicating that tumor size,pathological stage,and depth of invasion were independent factors influencing the PLR value.For the 650 gastric cancer patients studied,the median LMR of 3.5 was used as the cutoff value,and the LMR(>3.5)and low LMR(≤3.5)groups were 374 cases and 276 cases respectively.Univariate analysis showed that: LMR of different levels had statistically significant differences in age,tumor size,depth of invasion,lymph node metastasis,TNM staging,CEA,and CA-199.There was no significant difference in gender,tumor location,Borrmann classification,,and differentiation of different LMR values.Logistic regression analysis showed that the difference in pathological staging was statistically significant,indicating that pathological staging was an independent influencing factor affecting the PLR value.550 complete follow-up data were included in the survival analysis study.Univariate analysis showed that the tumor location,differentiation,TNM stage,NLR,LMR and prognosis of gastric cancer patients were significantly related,in which the degree of differentiation,TNM stage,NLR,LMR were independent factors influencing the prognosis of gastric cancer patients.Conclusions:1.NLR,PLR,LMR have significant correlation with depth of invasion,lymph node metastasis,and TNM stage,and have the value of evaluating the progression of gastric cancer.2.NLR,LMR can be used as an aid to evaluate the prognosis of gastric cancer patients. |
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