Prognostic value of systemic inflammatory factors NLR, LMR, PLR and LDH in penile cancer

Abstract

Background: Penile squamous cell carcinoma (PSCC)represents an important public health problem for developing countries. The major prognostic factors in PSCC are pathological subtype, perineural invasion, lymphovascular invasion, depth of invasion and grade, which are hard to obtain precisely before the operation. Besides, micro-metastases will be detected in about 30% of intermediate-risk patients with clinically non-palpable inguinal lymph nodes after i nguinal lymph node dissection( ILND ) . It means approximately 70% of patients are unable to benefit from ILND who might suffered from the complications of surgery. We hope some biomarkers could be found which are able to predict the outcome before surgery and reflect the inguinal lymph nodes metastasis. Methods: A total of 349 consecutive patients of penile cancer in Yunnan cancer hospital in China between October 2002 and December2017. 225 was succeed to follow-up. According to the (AUROC) curve, we get the cut-off point, K-M analysis and multivariate logistic regression models and Bivariate correlations were used to detect the results. The association between NLR,LMR,PLR,LDH and Overall survival(OS),progression free survival(PFS) , inguinal lymph node (N stage) was analyzed with K-M analysis, univariable, multivariable logistic regression and Kendall’s tau-b correlation coefficient. Results: Multivariate analysis reveal that only PLR was significant independent factor which is associated with inferior OS and PFS; Age and LDH was associated with inferior OS; Lymph node and metastatic status remained significant for OS and PFS as NCCN and EAU Guidelines indicated; the ages, tumor type, initial treatment and NLR LMR were not significant in predicting both OS and PFS. NLR, LMR and PLR were corresponded to N stage, while LDH was not associated with the N stage based on logistic regression model analysis. NLR, LMR and PLR were found weakly related to N stage through an application of Kendall’s tau-b correlation coefficient. Conclusions: PLR was significant independent factors for OS and PFS, Age and LDH was significant independent factors for OS. NLR, LMR, PLR was corresponded to N stage.