The prognostic nutritional index represents a novel inflammation-nutrition-based prognostic factor for nasopharyngeal carcinoma

Neural Network-based Automated Classification of 18F-FDG PET/CT Lesions and Prognosis Prediction in Nasopharyngeal Carcinoma Without Distant Metastasis

PURPOSE

To evaluate the diagnostic performance of the PET Assisted Reporting System (PARS) in nasopharyngeal carcinoma (NPC) patients without distant metastasis, and to investigate the prognostic significance of the metabolic parameters.

PATIENTS AND METHODS

Eighty-three NPC patients who underwent pretreatment 18F-FDG PET/CT were retrospectively collected. First, the sensitivity, specificity, and accuracy of PARS for diagnosing malignant lesions were calculated, using histopathology as the gold standard. Next, metabolic parameters of the primary tumor were derived using both PARS and manual segmentation. The differences and consistency between the 2 methods were analyzed. Finally, the prognostic value of PET metabolic parameters was evaluated. Prognostic analysis of progression-free survival (PFS) and overall survival (OS) was conducted.

RESULTS

PARS demonstrated high patient-based accuracy (97.2%), sensitivity (88.9%), and specificity (97.4%), and 96.7%, 84.0%, and 96.9% based on lesions. Manual segmentation yielded higher metabolic tumor volume (MTV) and total lesion glycolysis (TLG) than PARS. Metabolic parameters from both methods were highly correlated and consistent. ROC analysis showed metabolic parameters exhibited differences in prognostic prediction, but generally performed well in predicting 3-year PFS and OS overall. MTV and age were independent prognostic factors; Cox proportional-hazards models incorporating them showed significant predictive improvements when combined. Kaplan-Meier analysis confirmed better prognosis in the low-risk group based on combined indicators (χ² = 42.25, P < 0.001; χ² = 20.44, P < 0.001).

CONCLUSIONS

Preliminary validation of PARS in NPC patients without distant metastasis shows high diagnostic sensitivity and accuracy for lesion identification and classification, and metabolic parameters correlate well with manual. MTV reflects prognosis, and its combination with age enhances prognostic prediction and risk stratification.

Development of a predictive nomogram based on preoperative inflammation-nutrition-related markers for prognosis in locally advanced lip squamous cell carcinoma after surgical treatment

BACKGROUND

The prognostic role of preoperative inflammation-nutrition-related markers in locally advanced lip squamous cell carcinoma (LSCC) remains underexplored. This study aimed to assess the impact of various preoperative inflammation-nutrition-related markers on the prognosis of patients with locally advanced LSCC undergoing surgical treatment and to establish a corresponding predictive model.

METHODS

A retrospective analysis was performed on the clinical data of 169 patients with locally advanced LSCC who underwent surgical treatment. A total of 27 clinicopathological variables, including inflammation-nutrition-related markers, were collected. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for disease-free survival (DFS) and overall survival (OS). The nomogram models were validated using receiver operating characteristic (ROC) curve analysis, calibration plots, and decision curve analysis (DCA). Risk stratification was performed based on the nomogram scores, and differences between risk subgroups were explored.

RESULTS

The extranodal extension (ENE), surgical safety margin, Glasgow prognostic score (GPS), Geriatric Nutritional Risk Index (GNRI), Controlling Nutrition score (CONUT), American Joint Committee on Cancer (AJCC) stage, and adjuvant radiotherapy were independent prognostic factors for DFS. In contrast, ENE, surgical safety margin, GNRI, CONUT, AJCC stage, and adjuvant radiotherapy were also independent prognostic factors for OS. The nomograms demonstrated better predictive performance than the AJCC staging system. Based on the nomogram model, patients were stratified into low-, medium-, and high-risk subgroups, which exhibited significant differences in survival outcomes.

CONCLUSION

GPS, GNRI, and CONUT are independent factors affecting the prognosis of patients with locally advanced LSCC undergoing radical surgery. By combining GPS, GNRI, and COUNT with other independent clinicopathological prognostic factors, a reliable nomogram model can be established to accurately predict patients' DFS and OS. This provides a powerful tool for individualized prognostic assessment, optimized risk stratification, and treatment decision-making.

Prognostic value of serum inflammatory markers in patients with esophageal squamous cell carcinoma undergoing surgery: a two-center retrospective cohort study

BACKGROUND AND PURPOSE

The combined assessment of the neutrophil-platelet score and prognostic nutritional index is yet to be applied in evaluating the prognosis of patients following an operation for esophageal cancer. This study aimed to identify independent prognostic factors for patients undergoing operation for esophageal cancer and to construct a nomogram model for predicting median overall survival (mOS).

METHODS

A cohort of 660 patients with esophageal cancer from two clinical centers in China was recruited, comprising a training cohort (n = 511) and a validation cohort (n = 149). Survival rates were compared using Kaplan-Meier curves and the log-rank test. The Cox regression model was used to identify independent prognostic factors.

RESULTS

The Multi-variable Cox regression analysis revealed that tumor, node, metastasis stage, smoking status, neutrophil-platelet score, and prognostic nutritional index were independent postoperative prognostic factors for patients with esophageal cancer (P < 0.05). The mOS (129.0 months, 95% confidence interval (CI) not reached) was significantly higher in patients with a low neutrophil-platelet score than those with a high score (43.0 months, 28.1-57.9; P < 0.05). Conversely, the mOS (42.0 months, 95% CI 6.7-55.2) was lower in the low prognostic nutritional index score group than the high score group (125.0 months, 95% CI 96.4-153.6; P < 0.05). Evaluation metrics, including the concordance index (0.69 in the training group and 0.70 in the validation group), receiver operator characteristic curve analysis (In the training cohort, the AUCs for predicting 1-, 3-, 5- and 10-year overall survival rates using the nomogram were 76.19%, 69.07%, 70.12% and 68.17%, respectively; in the validation cohort, the corresponding predicted values were 76.66%, 77.18%, 75.04% and 79.57%, respectively), calibration curve, and decision curve analysis, demonstrated the clinical utility of the constructed prediction model.

CONCLUSIONS

Serving as systemic inflammatory biomarkers, the neutrophil-platelet score and prognostic nutritional index offer valuable prognostic insights for patients with esophageal cancer, augmenting predictive capabilities.

Development and validation of a prognostic nomogram incorporating neutrophil-to-albumin ratio for predicting overall survival in patients with nasopharyngeal carcinoma undergoing concurrent chemoradiotherapy

BACKGROUND

Recent research suggests that the emerging neutrophil-albumin ratio (NAR) has a significant correlation with the survival outcomes across a range of tumors, yet its predictive significance for nasopharyngeal carcinoma (NPC) remains insufficiently investigated. This study aimed to evaluate the relationship between the neutrophil-to-albumin ratio (NAR) and overall survival (OS) in patients with NPC, as well as to develop a corresponding prognostic model.

METHODS

This retrospective analysis included 861 NPC patients treated with concurrent chemoradiotherapy (CCRT), who were randomly divided into a training group (n = 605) and a validation group (n = 256). To identify factors associated with OS and construct a prognostic nomogram, both univariate and multivariate Cox regression analyses were performed. The nomogram's prognostic accuracy was evaluated and independently validated.

RESULTS

The NAR score successfully segregated NPC patients into two categories with significantly different OS (HR = 0.536; 95 % CI: 0.296-0.972, P = 0.040). Through multivariate analysis, factors such as age, T stage, N stage, and NAR score were identified as independent predictors of OS, leading to the creation of a prognostic nomogram. This nomogram demonstrated superior predictive capability for OS [C-index = 0.702 (95 % CI: 0.636-0.768)], surpassing that of the conventional staging system [C-index = 0.651 (95 % CI: 0.549-0.752)]. The findings underwent internal validation within an independent cohort.

CONCLUSIONS

The NAR, an emergent biomarker combining nutritional and inflammatory status, offers a practical, low-cost, and non-invasive prognostic measure for NPC patients treated with CCRT. Additionally, the prognostic nomogram derived from NAR surpasses traditional staging systems in predictive accuracy.

Prognostic Study of Inflammatory Markers in Nasopharyngeal Carcinoma Patients Receiving Intensity-Modulated Radiotherapy

Purpose

Inflammatory markers in the blood have been linked to tumor prognosis, but their specific prognostic significance in nasopharyngeal carcinoma (NPC) patients undergoing intensity-modulated radiotherapy (IMRT) is not well established. This study aims to evaluate the prognostic value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in this patient population.

Patients and Methods

A total of 406 non-metastatic NPC patients were included in the study. NLR, PLR, and LMR were stratified according to their average values. The Kaplan-Meier method was used to estimate progression-free survival (PFS) and overall survival (OS). Cox multivariate regression analysis was performed to evaluate the associations of NLR, PLR, and LMR with PFS and OS.

Results

Patients with NLR > 2.78 had worse PFS (P = 0.008) and OS (P < 0.001); PLR > 162.48 was related to lower PFS (P = 0.018) but not OS (P = 0.29); LMR > 5.05 showed no significant difference in PFS and OS compared to LMR ≤ 5.05 (P values were 0.13 and 0.94, respectively). Multivariate analysis indicated that NLR was an independent prognostic factor for PFS (HR, 1.674; 95% CI, 1.006-2.784; P = 0.047) and OS (HR, 4.143; 95% CI, 2.111-8.129; P = 0.000), while PLR and LMR did not demonstrate significant associations with PFS and OS.

Conclusion

This study identifies NLR as a novel and independent prognostic indicator for NPC patients receiving IMRT, offering valuable insights that could inform future clinical decision-making. In contrast, PLR and LMR did not demonstrate significant prognostic value in this context.

Prediction of severe radiation-induced oral mucositis in locally advanced nasopharyngeal carcinoma using the combined systemic immune-inflammatory index and prognostic nutritional index

OBJECTIVE

Severe radiation-induced oral mucositis (sRIOM) can seriously affect patients' quality of life and treatment compliance. This study was to investigate the utility of the systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) in predicting sRIOM in patients with locally advanced nasopharyngeal carcinoma (LANPC).

METHODS

295 patients with LANPC were retrospectively screened. The pre-radiotherapy SII and PNI were calculated based on peripheral blood samples. A receiver operating characteristic (ROC) curve was used to determine the cut-off value. Logistic regression was used for univariate and multivariate analyses. Patients were classified into three groups based on the SII-PNI score: score of 2, high SII (> cut-off value) and low PNI (≤ cut-off value); score of 1, either high SII or low PNI; score of 0, neither high SII nor low PNI.

RESULTS

The SII-PNI demonstrated significant predictive ability for sRIOM occurrence, as evidenced by an area under the curve (AUC) of 0.738. The incidence rates of sRIOM with SII-PNI score of 2, 1, and 0 were 73.86%, 44.35%, and 18.07%, respectively. Multivariate analysis confirmed that the SII-PNI score was an independent risk factor for sRIOM.

CONCLUSION

The SII-PNI score is a reliable and convenient indicator for predicting sRIOM in patients with LANPC.

Triglyceride-inflammation score established on account of random survival forest for predicting survival in patients with nasopharyngeal carcinoma: a retrospective study

Objective

This study aimed to establish an effective prognostic model based on triglyceride and inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR), to predict overall survival (OS) in patients with nasopharyngeal carcinoma (NPC). Additionally, we aimed to explore the interaction and mediation between these biomarkers in their association with OS.

Methods

A retrospective review was conducted on 259 NPC patients who had blood lipid markers, including triglyceride and total cholesterol, as well as parameters of peripheral blood cells measured before treatment. These patients were followed up for over 5 years, and randomly divided into a training set (n=155) and a validation set (n=104). The triglyceride-inflammation (TI) score was developed using the random survival forest (RSF) algorithm. Subsequently, a nomogram was created. The performance of the prognostic model was measured by the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curve, and decision curve analysis (DCA). The interaction and mediation between the biomarkers were further analyzed. Bioinformatics analysis based on the GEO dataset was used to investigate the association between triglyceride metabolism and immune cell infiltration.

Results

The C-index of the TI score was 0.806 in the training set, 0.759 in the validation set, and 0.808 in the entire set. The area under the curve of time-dependent ROC of TI score in predicting survival at 1, 3, and 5 years were 0.741, 0.847, and 0.871 respectively in the training set, and 0.811, 0.837, and 0.758 in the validation set, then 0.771, 0.848, and 0.862 in the entire set, suggesting that TI score had excellent performance in predicting OS in NPC patients. Patients with stage T1-T2 or M0 had significantly lower TI scores, NLR, and PLR, and higher LMR compared to those with stage T3-T3 or M1, respectively. The nomogram, which integrated age, sex, clinical stage, and TI score, demonstrated good clinical usefulness and predictive ability, as evaluated by the DCA. Significant interactions were found between triglyceride and NLR and platelet, but triglyceride did not exhibit any medicating effects in the inflammatory markers. Additionally, NPC tissues with active triglyceride synthesis exhibited high immune cell infiltration.

Conclusion

The TI score based on RSF represents a potential prognostic factor for NPC patients, offering convenience and economic advantages. The interaction between triglyceride and NLR may be attributed to the effect of triglyceride metabolism on immune response.

Prognostic nutritional index and serum lactate dehydrogenase predict the prognosis of nasopharyngeal carcinoma patients who received intensity-modulated radiation therapy

PURPOSE

This research aimed to evaluate the prognostic significance of baseline prognostic nutritional index (PNI) and lactate dehydrogenase (LDH) for the outcome of individuals diagnosed with non-metastatic nasopharyngeal carcinoma (NPC).

METHODS

A retrospective analysis was conducted on data from 810 patients with non-metastatic NPC who underwent intensity-modulated radiation therapy (IMRT) with or without chemotherapy. The best cut-offs for PNI and LDH were identified by X-tile software to be 48.5 and 150, respectively. To find the independent prognostic factors for survival outcomes, univariate and multivariate regression analyses were conducted, and AUCs were used to compare their prognostic values.

RESULTS

Multivariate analysis revealed that patients with PNI > 48.5 had better overall survival (OS) (HR: 0.502, P < 0.001), progression-free survival (PFS) (HR: 0.618, P < 0.001), and distant metastasis-free survival (DMFS) (HR: 0.637, P = 0.005). Higher LDH was associated with poorer OS (HR: 1.798, P < 0.001), PFS (HR: 1.671, P < 0.001), and DMFS (HR: 1.756, P < 0.001). The combination of low PNI and high LDH in non-metastatic NPC patients was correlated with poor OS (P < 0.001), PFS (P < 0.001), and DMFS (P < 0.001). The combination of PNI and LDH had the highest AUCs for predicting OS, PFS, and DMFS.

CONCLUSIONS

PNI and LDH might become valuable predictors of the prognosis of non-metastatic NPC patients undergoing IMRT with or without chemotherapy. Prognostic accuracy can be enhanced by combining PNI and LDH.

Prognostic value of the fibrinogen albumin ratio index (FARI) in nasopharyngeal carcinoma patients undergoing radiotherapy

There is mounting evidence that malnutrition and systemic inflammation status are involved in the prognosis of various cancers. In this study, we aimed to evaluate the prognostic value of the pretreatment fibrinogen-albumin ratio index (FARI) in nasopharyngeal carcinoma (NPC) patients receiving definite radiotherapy. NPC patients who received definite radiotherapy between January 2013 and December 2019 were included. A receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value. The clinicopathological characteristics of the patients were compared via the Chi-square test. Survival curves were analyzed by the Kaplan‒Meier method. The prognostic factors were evaluated by univariate and multivariate analyses via Cox hazards regression analysis. A total of 225 patients were enrolled, and the median follow-up time was 48.5 months. High FARI was correlated with worse ECOG score (p = 0.003), higher EBV-DNA titer (p = 0.047), and more advanced clinical stage (p < 0.001). In the multivariable analysis, FARI independently predicted OS (HR 2.399, 95% CI 1.294-4.450, P < 0.001), PFS (HR 2.085, 95% CI 1.200-3.625, P = 0.009), and DMFS (HR 2.527, 95% CI 1.288-4.958, P < 0.001). The current findings suggest that a high pretreatment FARI is an independent predictor of OS, PFS and DMFS in NPC patients undergoing definite radiotherapy.