In recent years, there are lots of studies extensively investigating the interaction between inflammation and tumor growth, and a growing number of evidence shows that inflammation is closely related tocarcinogenesis and could promote tumor development by multiple mechanisms.16–18
Being critical components of host immunity, peripheral leukocytes have a great effect on carcinogenesis. Neutrophils could be activated by cytokines such as interleukin(IL)-1, IL-6 and tumor necrosis factor, and produce circulating vascular endothelial cell growth factor which can stimulate cell proliferation and angiogenesis.19,20 Monocytes can produce high levels of reactive oxygen to initiate tumorigenesis, and can release a great deal of cytokines such as tumor necrosis factor-α,IL-1, and IL-6 to promote tumor development and metastasis.21,22 Conversely, lymphocytes could induce apoptosis, inhibit tumor proliferation, and mediatie antibody-dependent cell-mediated cytotoxicity.20,23 The low level of lymphocyte in cancer-adjacent tissues can reduce anti-tumor immunity, which could affect the prognosis of tumor patients.24
It has been proved that the inflammatory indicators such as NLR and LMR are associated with the survival rate in a variety of cancers, and NLR and LMR could be used to predict prognosis in patients with various solid cancers.25–27 However, the prognostic values of NLR and LMR have been rarely identified in PSCC. To the best of our knowledge, there are only three studies who had examined the prognostic values of NLR in patients with PSCC. Pond et al. conducted two studies: one investigated the PSCC patients receiving concurrent chemo-radiotherapy, and they found that high NLR was significantly associated only with poor OS and showed a trend for association with poor PFS; the other investigated the advanced PSCC patients receiving first-line systemic therapy, and they found that NLR was associated with OS, with the significance only in univariate but not multivariate analysis.28,29 Kasuga et al. demonstrated that patients with high NLRs showed a significant poorer cancer-specific survival. In addition, patients with high NLRs tended to correlate with poorer overall survival. But in the multivariate analysis, no significant independent factors were proved to predict the prognosis.30
We evaluated NLR and LMR to predict prognosis in patients with penile cancer simultaneously in the study. And to our knowledge, this is the first paper to describe the relationship between the LMR and the prognosis of penile cancer. We found that both NLR and LMR were significantly associated with PFS, which is similar to the findings of Kasuga's study. But it differed from Pond's findings, which revealed that NLR was significantly associated with OS. This was partly because of the study design difference and racial diversity. Pond et al. investigated the patients receiving concurrent chemo-radiotherapy or advanced PSCC patients receiving first-line systemic therapy, who were different from our patients. In addition, tumor characteristics of the Chinese patients in our study were different from those of foreign patients. We also found that preoperative NLR was significantly higher in pT 3/4 stage cancer and lymph node metastasis. As we all know, tumor stage and lymphatic invasion are closely connected with prognosis of PSCC. Good association with pathological T stage and lymph node metastasis indicated that NLR may correlate with prognosis of PSCC. In the multivariate analysis, we verified NLR to be an independent prognostic factor for PFS, but we didn't find any significant independent factors for OS.
It is important that which suitable cutoff value should be selected. Some studies investigating the prognostic values of NLR and LMR determined the cutoff values empirically. In Pond's two studies, he selected the median NLRs of 3.7 and 4.4 to divide the patients.28,29 Kasuga selected the cut-off value of the NLR using the ROC curve, and he determined the cut-off value of the NLR to be 2.82.30 In our study, we also used the ROC curve to determine the ideal cutoff values of NLR and LMR. The cut-off value of the NLR in our study was 2.3, which is lower than Pond's selected values but similar to the value in Kasuga's study. In addition, we found that NLR was superior to LMR to be a predictive factor, with the AUC of 0.750, superior to 0.701 of LMR.
Our study has some limitations. First, it was hard to ensure the consistency of the clinicopathological data because of its retrospective nature. Second, some other important prognostic factors such as growth pattern and anatomic site were not included in our study. Third, we could not exclude all the interference factors, although we had tried to excluded the effects of inflammation and others. Additionally, the confounding variables had not been adjusted in the study, such as the association between clinical factors (age or stage) and NLR or LMR, which may result in the less accurate results of our survival analysis. Last, the sample number in our study was relatively small.
In conclusion, it is believed that this is the first study to evaluate the prognostic values of NLR and LMR in patients with penile cancer undergoing partial or total penectomy. We show that NLR could be a good independent predictor of PFS. These findings need external and prospective validation.