Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery

Abstract

Background Oral tongue squamous cell carcinoma (OTSCC) is a prevalent malignant disease that is characterized by high rates of metastasis and postoperative recurrence. The aim of this study was to establish a nomogram to predict the outcome of OTSCC patients after surgery. Methods We retrospectively analyzed 169 OTSCC patients who underwent treatments in the Cancer Hospital of Shantou University Medical College from 2008 to 2019. The Cox regression analysis was performed to determine the independent prognostic factors associated with patient’s overall survival (OS). A nomogram based on these prognostic factors was established and internally validated using a bootstrap resampling method. Results Multivariate Cox regression analysis revealed the independent prognostic factors for OS were TNM stage, age, lymphocyte-to-monocyte ratio and immunoglobulin G, all of which were identified to create the nomogram. The Akaike Information Criterion and Bayesian Information Criterion of the nomogram were lower than those of TNM stage (292.222 vs. 305.480; 298.444 vs. 307.036, respectively), indicating a better goodness-of-fit of the nomogram for predicting OS. The bootstrap-corrected of concordance index (C-index) of nomogram was 0.784 (95% CI 0.708–0.860), which was higher than that of TNM stage (0.685, 95% CI 0.603–0.767, P = 0.017). The results of time-dependent C-index for OS also showed that the nomogram had a better discriminative ability than that of TNM stage. The calibration curves of the nomogram showed good consistency between the probabilities and observed values. The decision curve analysis also revealed the potential clinical usefulness of the nomogram. Based on the cutoff value obtained from the nomogram, the proposed high-risk group had poorer OS than low-risk group (P < 0.0001). Conclusions The nomogram based on clinical characteristics and serological inflammation markers might be useful for outcome prediction of OTSCC patient.

Speech disorders in patients with Tongue squamous cell carcinoma: A longitudinal observational study based on a questionnaire and acoustic analysis

“…The VSA and the FCR are two comprehensive parameters reflecting the range of tongue movement [ 35 ]. Currently, the demand for noninvasive screening tests, such as tissue fluorescence imaging [ 37 ], salivary metabolomics [ 38 ], and serological markers [ 39 ], has greatly increased [ 40 ]. Our previous study found that the FCR could be a potential acoustic marker for detecting speech disorders in patients with TSCC [ 41 ].…”

Salivary Metabolomics for Oral Cancer Detection: A Narrative Review

“…A nomogram utilizes MLR to combine multiple features linearly, thus predicting the disease status and treatment outcomes. For example, a combination of clinical characteristics and serum inflammation markers has been developed to predict overall survival in OSCC patients [ 94 ].…”

Lymph node ratio-based nomogram for prognosis evaluation and treatment optimization of non-metastatic oral cavity squamous cell carcinoma

“…According to the results of multivariate analysis in the training cohort, we finally included tumor site, grade, AJCC T stage, number of PLNs and LNR into the nomogram for OS. Although the prognostic significance of tumor site, grade, and AJCC T stage have been reported and presented in the manner of nomogram previously [ 19 , 20 , 23 , [32] , [33] , [34] ], our nomogram is the first one that we are aware of to incorporate LNR into the prognostic model. Another notable hallmark of our nomogram is the inclusion of PLNs.…”