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. 2022 Oct 10;58(10):1426.
doi: 10.3390/medicina58101426.

Prognostic Abilities of Pre- and Post-Treatment Inflammatory Markers in Oral Squamous Cell Carcinoma: Stepwise Modelling

Affiliations

Prognostic Abilities of Pre- and Post-Treatment Inflammatory Markers in Oral Squamous Cell Carcinoma: Stepwise Modelling

Sarah Sabrina Zakaria et al. Medicina (Kaunas). .

Abstract

Background and Objectives: Studies examining the importance of inflammatory markers before treatment as prognosticators of OSCC are available, but information on post-therapy inflammatory markers and their prognostic significance is limited. This study aimed to evaluate the prognostic abilities of pre- and post-treatment inflammatory markers in patients with OSCC. Materials and Methods: In this retrospective analysis, information on 151 OSCC patients' socio-demographic, clinico-pathological, recurrence, metastasis, and survival data were gathered from clinical records. A multivariable Cox proportional hazards regression (stepwise model) was conducted to identify the prognostic predictors of OS and DFS. The multivariable models' performances were evaluated using Harrell's concordance statistics. Results: For OS, high pre-treatment LMR (HR 3.06, 95%CI 1.56, 5.99), and high post-treatment PLC (HR 3.35, 95%CI 1.71, 6.54) and PLR (HR 5.26, 95%CI 2.62, 10.58) were indicative of a poor prognosis. For DFS, high pre-treatment SII (HR 2.59, 95%CI 1.50, 4.48) and high post-treatment PLC (HR 1.92, 95%CI 1.11, 3.32) and PLR (HR 3.44, 95%CI 1.98, 5.07) were associated with increased mortality. The fitness of the OS and DFS stepwise Cox regression models were proven with a time-dependent AUC of 0.8787 and 0.8502, respectively. Conclusions: High pre-treatment levels of LMR and SII and high post-treatment levels of PLC and PLR are independent predictors of a poor prognosis for patients with OSCC.

Keywords: disease-free survival; inflammatory markers; oral squamous cell carcinoma; overall survival; prognosis.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flowchart explaining the patient selection process for this study.
Figure 2
Figure 2
Harrell’s concordance statistics and time-dependent area under the curve for the overall survival (OS) in the pre- and post-treatment model.
Figure 2
Figure 2
Harrell’s concordance statistics and time-dependent area under the curve for the overall survival (OS) in the pre- and post-treatment model.
Figure 3
Figure 3
Harrell’s concordance statistics and time-dependent area under the curve for disease free survival (DFS) for pre- and post-treatment model.
Figure 3
Figure 3
Harrell’s concordance statistics and time-dependent area under the curve for disease free survival (DFS) for pre- and post-treatment model.

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