Objective:To evaluate the predictive value of hematological inflammatory markers such as preoperative monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and several tumor-related factors in differentiating malignant and benign primary retroperitoneal tumors (PRTs) .Methods:This study retrospectively collected the data of 159 pathologic confirmed PRTs patients who underwent surgery in the First Affiliated Hospital of Wenzhou Medical University and Taizhou Municipal Hospital between Dec. 2009 and Aug. 2020. Univariate analysis of clinic data was performed to identify the differences between the benign and malignant PRTs. Logistic regression analysis was used to determine the independent predictive parameters for malignant PRTs.Results:Among the 159 patients with PRTs, 80 were malignant, 68 were benign, and 11 were borderline. Contrast with benign and borderline tumor, univariate analysis demonstrated that tumor size, preoperative neutrophil count, platelet count, albumin level, MLR, NLR and PLR exhibited significant differences in malignant tumor (all P<0.05). PLR (HR=1.025, P=0.020) and tumor size (HR=1.085, P=0.006) were independent risk factors for predicting malignant PRTs in the multivariate logistic analyses. According to the ROC curve, the optimal cutoff value of tumor size and PLR for predicting malignant PRTs were 194.85 (sensitivity 38.7%, specificity 93.5%), 8.75 cm (sensitivity 69.3%, specificity 72.7%), respectively. Conclusions:Preoperative PLR is useful in differentiating malignant and benign PRTs and it is an independent risk parameter for malignant PRTs. Preoperative PLR could be considered as a new significant predictor for malignant PRTs.

Objective:To evaluate the predictive value of hematological inflammatory markers such as preoperative monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and several tumor-related factors in differentiating malignant and benign primary retroperitoneal tumors (PRTs) .Methods:This study retrospectively collected the data of 159 pathologic confirmed PRTs patients who underwent surgery in the First Affiliated Hospital of Wenzhou Medical University and Taizhou Municipal Hospital between Dec. 2009 and Aug. 2020. Univariate analysis of clinic data was performed to identify the differences between the benign and malignant PRTs. Logistic regression analysis was used to determine the independent predictive parameters for malignant PRTs.Results:Among the 159 patients with PRTs, 80 were malignant, 68 were benign, and 11 were borderline. Contrast with benign and borderline tumor, univariate analysis demonstrated that tumor size, preoperative neutrophil count, platelet count, albumin level, MLR, NLR and PLR exhibited significant differences in malignant tumor (all P<0.05). PLR (HR=1.025, P=0.020) and tumor size (HR=1.085, P=0.006) were independent risk factors for predicting malignant PRTs in the multivariate logistic analyses. According to the ROC curve, the optimal cutoff value of tumor size and PLR for predicting malignant PRTs were 194.85 (sensitivity 38.7%, specificity 93.5%), 8.75 cm (sensitivity 69.3%, specificity 72.7%), respectively. Conclusions:Preoperative PLR is useful in differentiating malignant and benign PRTs and it is an independent risk parameter for malignant PRTs. Preoperative PLR could be considered as a new significant predictor for malignant PRTs.

Objective: To assess the predictive value of the platelet-to-lymphocyte ratio(PLR), neutrophil-to-lymphocyte ratio(NLR)and tumor-related factors on the peritoneal metastasis in advanced gastric cancer patients. Methods: A total of 701 pathologically confirmed gastric cancer patients who underwent surgery at the First Affiliated Hospital of Wenzhou Medical University between Jan 2009 and Jan 2012 were enrolled. Results: Univariate analysis indicated that tumor location, tumor size, serosal invasion, depth of invasion, pathological type, lymph node metastasis and PLR were related to peritoneal metastasis(all P<0.05). According to the area under the ROC curve, the optimal cutoff value of PLR for predicting peritoneal metastasis was 132.43 (sensitivity 71.8%, specificity 50.6%). There were significant differences in tumor size, TNM stage, lymph node metastasis and serosal infiltration between high PLR group and low PLR group. Multivariate Logistic analyses revealed that PLR (HR=2.205, P=0.003), lymph node metastasis(HR=3.113, P=0.010)and tumor size(HR=1.150, P=0.014) were independent risk factors for peritoneal metesfasis. Conclusions Preoperative PLR is valuable in predicting peritoneal metastasis of advanced gastric cancer and it is an independent risk factor for peritoneal metastasis of gastric cancer.