Impact pronostique de la nouvelle classification TNM pour les cancers du nasopharynx

Fourati, N.; Mnejja, W.; Nouri, O.; Fessi, Z.; Siala, W.; Daoud, J.

doi:10.1016/j.canrad.2019.07.091

Cited by 1 publication

(2 citation statements)

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“…The TNM staging system is constantly improving with advances in imaging diagnosis technology, radiotherapy, and chemotherapy. 2,3 However, due to the biological heterogeneity of tumors, clinical results for patients receiving comparable treatment and at the same TNM stage may differ significantly. Therefore, it is critical to identify effective prognostic indicators to formulate individualized treatment strategies aimed at prolonging patient survival time and improving their quality of life.…”

Section: Introductionmentioning

confidence: 99%

“…The most important method for classifying patients with NPC based on their treatment options and assessing their response to treatment is still the tumor, node, metastasis (TNM) staging system, which is based on anatomical characteristics. The TNM staging system is constantly improving with advances in imaging diagnosis technology, radiotherapy, and chemotherapy 2,3 . However, due to the biological heterogeneity of tumors, clinical results for patients receiving comparable treatment and at the same TNM stage may differ significantly.…”

Section: Introductionmentioning

confidence: 99%

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Development and internal validation of a nomogram based on peripheral blood inflammatory markers for predicting prognosis in nasopharyngeal carcinoma

Lai,

Lin,

Zhuang

et al. 2024

Cancer Medicine

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BackgroundInflammatory markers, including the product of neutrophil count, platelet count, and monocyte count divided by lymphocyte count (PIV) and the platelet‐to‐white blood cell ratio (PWR), have not been previously reported as prognostic factors in nasopharyngeal carcinoma (NPC) patients. In order to predict overall survival (OS) in NPC patients, our goal was to create and internally evaluate a nomogram based on inflammatory markers (PIV, PWR).MethodsA retrospective study was done on patients who received an NPC diagnosis between January 2015 and December 2018. After identifying independent prognostic indicators linked to OS using Cox proportional hazards regression analysis, we created a nomogram with the factors we had chosen.ResultsA total of 630 NPC patients in all were split into training (n = 441) and validation sets (n = 189) after being enrolled in a population‐based study in 2015–2018 and monitored for a median of 5.9 years. In the training set, the age, PIV, and PWR, selected as independent predictors for OS via multivariate Cox's regression model, were chosen to develop a nomogram. Both training and validation cohorts had C‐indices of 0.850 (95% confidence interval [CI]: 0.768–0.849) and 0.851 (95% CI: 0.765–0.877). Furthermore, compared with traditional TNM staging, our nomogram demonstrated greater accuracy in predicting patient outcomes. The risk stratification model derived from our prediction model may facilitate personalized treatment strategies for NPC patients.ConclusionOur findings confirmed the prognostic significance of the PWR and PIV in NPC. High PIV levels (>363.47) and low PWR (≤36.42) values are associated with worse OS in NPC patients.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%