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. 2024 Aug 13;19(1):108.
doi: 10.1186/s13014-024-02500-y.

A nomogram based on circulating CD8+ T cell and platelet-to-lymphocyte ratio to predict overall survival of patients with locally advanced nasopharyngeal carcinoma

Affiliations

A nomogram based on circulating CD8+ T cell and platelet-to-lymphocyte ratio to predict overall survival of patients with locally advanced nasopharyngeal carcinoma

Chang Yan et al. Radiat Oncol. .

Abstract

Purpose: To explore the influence of circulating lymphocyte subsets, serum markers, clinical factors, and their impact on overall survival (OS) in locally advanced nasopharyngeal carcinoma (LA-NPC). Additionally, to construct a nomogram predicting OS for LA-NPC patients using independent prognostic factors.

Methods: A total of 530 patients with LA-NPC were included in this study. In the training cohort, Cox regression analysis was utilized to identify independent prognostic factors, which were then integrated into the nomogram. The concordance index (C-index) was calculated for both training and validation cohorts. Schoenfeld residual analysis, calibration curves, and decision curve analysis (DCA) were employed to evaluate the nomogram. Kaplan-Meier methods was performed based on risk stratification using the nomogram.

Results: A total of 530 LA-NPC patients were included. Multivariate Cox regression analysis revealed that the circulating CD8+T cell, platelet-to-lymphocyte ratio (PLR), lactate dehydrogenase (LDH), albumin (ALB), gender, and clinical stage were independent prognostic factors for LA-NPC (p < 0.05). Schoenfeld residual analysis indicated overall satisfaction of the proportional hazards assumption for the Cox regression model. The C-index of the nomogram was 0.724 (95% CI: 0.669-0.779) for the training cohort and 0.718 (95% CI: 0.636-0.800) for the validation cohort. Calibration curves demonstrated good correlation between the model and actual survival outcomes. DCA confirmed the clinical utility enhancement of the nomogram over the TNM staging system. Significant differences were observed in OS among different risk stratifications.

Conclusion: Circulating CD8+ T cell, PLR, LDH, ALB, gender and clinical stage are independent prognostic factors for LA-NPC. The nomogram and risk stratification constructed in this study effectively predict OS in LA-NPC.

Keywords: CD8+ T cell; Immune function; Inflammatory markers; Nasopharyngeal carcinoma; Prognosis.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Schoenfeld residuals plot. The regression coefficients of each independent prognostic factors in the multivariate Cox regression model fitted by the nomogram remain stable over time, hovering near the 0 line and exhibiting basic symmetry. The multivariate Cox model and all covariates satisfy the proportional hazards assumption (p ≥ 0.05)
Fig. 2
Fig. 2
Nomogram for predicting OS in LA-NPC based on CD8+ T cell and PLR
Fig. 3
Fig. 3
Validation of the nomogram. Calibration curves for the 3, 5, and 7-year OS in the training (A) and validation cohorts (B) closely align with the standard curve, indicating good model accuracy. (C) and (D) depict decision curve analysis (DCA) for the training and validation cohorts, demonstrating that the nomogram provides more net benefit compared to the TNM staging alone in both cohorts
Fig. 4
Fig. 4
Kaplan-Meier curves for different risk stratifications in the total cohort (A), training cohort (B), and validation cohort (C)

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References

    1. Chen YP, Chan ATC, Le QT, et al. Nasopharyngeal carcinoma. Lancet (London England). 2019;394(10192):64–80. 10.1016/S0140-6736(19)30956-0 - DOI - PubMed
    1. Chang ET, Ye W, Zeng YX, Adami HO. The evolving epidemiology of nasopharyngeal carcinoma. Cancer Epidemiol Biomarkers Prev. 2021;30(6):1035–47. - PubMed
    1. Li WF, Chen NY, Zhang N, et al. Concurrent chemoradiotherapy with/without induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma: long-term results of phase 3 randomized controlled trial. Int J Cancer. 2019;145(1):295–305. 10.1002/ijc.32099 - DOI - PubMed
    1. Wee J, Tan EH, Tai BC, et al. Randomized trial of radiotherapy versus concurrent chemoradiotherapy followed by adjuvant chemotherapy in patients with American joint committee on cancer/international union against cancer stage III and IV nasopharyngeal cancer of the endemic variety. J Clin Oncology Off J Am Soc Clin Oncol. 2005;23(27):6730–8.10.1200/JCO.2005.16.790 - DOI - PubMed
    1. Yang J, Liang ZG, Jiang YT, et al. Efficacy and safety of concurrent chemoradiotherapy combined with induction chemotherapy or adjuvant chemotherapy in patients with stage II-IVA nasopharyngeal carcinoma: a propensity score matching analysis and meta-analysis. Front Oncol. 2021;11:778836. 10.3389/fonc.2021.778836 - DOI - PMC - PubMed

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