AUTHOR=Ding Meng , Song Yuxian , Jing Junyan , Tian Mei , Ding Liang , Li Qiang , Zhou Chongchong , Dong Heng , Ni Yanhong , Mou Yongbin TITLE=The Ratio of Preoperative Serum Biomarkers Predicts Prognosis in Patients With Oral Squamous Cell Carcinoma JOURNAL=Frontiers in Oncology VOLUME=11 YEAR=2021 URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2021.719513 DOI=10.3389/fonc.2021.719513 ISSN=2234-943X ABSTRACT=Background

Dynamic changes in circulating immune-inflammatory cells have been regarded as simple and convenient prognostic biomarkers in various cancers. However, studies on the prognostic values of their ratios in oral squamous cell carcinoma (OSCC) remain limited.

Materials and Methods

A total of 493 OSCC patients were included in the present study. Here, we investigated the prognostic values of the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-white blood cell ratio (NWR), and lymphocyte-to-white blood cell ratio (LWR) in OSCC. The correlations of the NLR, LMR, NWR, and LWR with clinicopathological characteristics were statistically analyzed using the Chi-square test, Kaplan-Meier curves, and univariate and multivariate Cox regression models.

Result

Kaplan-Meier analyses revealed that OSCC patients with a high LMR and low NWR had prolonged overall survival (OS, P<0.001) and disease-free survival (DFS, P<0.001 and P=0.003, respectively), but there were no significant differences in metastasis-free survival (MFS, P=0.053 and P=0.052, respectively). In contrary, a high NLR and low LWR were associated with poor OS (P<0.001 and P=0.0016, respectively), DFS (P=0.0014 and 0.0012, respectively) and MFS (P=0.021 and 0.008, respectively). Additionally, Cox multivariate analyses showed that the LMR was an independent prognostic factor for both OS (P=0.007) and DFS (P=0.017), while the LWR was an independent prognostic factor for MFS (P=0.009).

Conclusion

Preoperative NLR, LMR, NWR, and LWR in the peripheral blood are significant prognostic factors for OSCC and might be helpful in predicting OSCC progression.