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PURPOSE Cumulative doses of 200 mg/m2 for concurrent cisplatin (DDP) were indicated by retrospective studies as sufficient in conferring survival benefit for locoregionally advanced nasopharyngeal carcinoma (LA-NPC). We performed an open-label, phase II, randomized, controlled trial to test the noninferiority of a two-cycle 100 mg/m2 concurrent DDP regimen over three-cycle in patients with low-risk LA-NPC with pretreatment Epstein-Barr virus DNA levels < 4,000 copies/mL. PATIENTS AND METHODS Eligible patients were randomly assigned 1:1 to receive two cycles or three cycles concurrent DDP-based chemoradiotherapy. The primary end point was 3-year progression-free survival (PFS). The secondary end points included overall survival, distant metastasis-free survival, locoregional relapse-free survival, etc. RESULTS Between September 2016 and October 2018, 332 patients were enrolled, with 166 in each arm. After a median follow-up of 37.7 months, the estimated 3-year PFS rates were 88.0% in the two-cycle group and 90.4% in the three-cycle group, with a difference of 2.4% (95% CI, –4.3 to 9.1, Pnoninferiority = .014). No differences were observed between groups in terms of PFS, overall survival, and the cumulative incidences of locoregional relapse and distant metastasis. Patients in the three-cycle group developed significantly more grade 3-4 mucositis (41 [24.8%] v 25 [15.1%]), hyponatremia (26 [15.8%] v 14 [8.4%]), and dermatitis (9 [5.5%] v 2 [1.2%]). The overall all-grade and grade 3-4 toxicity burdens were heavier in three-cycle group (T-scores, 12.33 v 10.57, P < .001 for all grades; 1.76 v 1.44, P = .05 for grade 3-4). Patients in the three-cycle group also showed more all-grade hearing impairment, dry mouth and skin fibrosis, and impaired long-term quality of life. CONCLUSION Intensity-modulated radiotherapy plus two cycles of concurrent 100 mg/m2 DDP could be an alternative treatment option for patients with low-risk LA-NPC.

OBJECTIVES/HYPOTHESIS The routine practices of examining submucosal lesions are not suitable for deep lesions. Therefore, we evaluated the efficacy of non-real-time image-guided transnasal endoscopic fine-needle aspiration biopsy (FNAB) in diagnosing nasopharyngeal carcinoma (NPC) with submucosal lesions. STUDY DESIGN The effectiveness evaluation of diagnostic methods. METHODS Fifty suspected NPC patients who failed in conventional biopsies were enrolled in this study. The efficacy, maneuverability, and safety of FNAB in diagnosing these intractable cases were evaluated. RESULTS The definitive diagnostic results of these 50 patients were NPC (34/50, 68.0%), nasopharyngeal necrosis (1/50, 2.0%), nasopharyngeal mucositis (12/50, 24.0%), and other cancers (3/50, 6.0%), respectively. The results of the diagnostic efficacy of FNAB were sensitivity, 89.2%; specificity, 100.0%; positive predictive value, 100.0%; negative predictive value, 76.5%; and accuracy, 92.0%, respectively. The area under the receiver operating characteristic curves was 0.946 (95% confidence interval = 0.884-1.00, P

How to discriminate different risks of recurrent nasopharyngeal carcinoma (rNPC) patients and guide individual treatment has become of great importance. This study aimed to explore the associations between deep learning signatures and biological functions as well as survival in (rNPC) patients.A total of 420 rNPC patients with PET/CT imaging and follow-up of overall survival (OS) were retrospectively enrolled. All patients were randomly divided into a training set (n = 269) and test set (n = 151) with a 6:4 ratio. We constructed multi-modality deep learning signatures from PET and CT images with a light-weighted deep convolutional neural network EfficienetNet-lite0 and survival loss DeepSurvLoss. An integrated nomogram was constructed incorporating clinical factors and deep learning signatures from PET/CT. Clinical nomogram and single-modality deep learning nomograms were also built for comparison. Furthermore, the association between biological functions and survival risks generated from an integrated nomogram was analyzed by RNA sequencing (RNA-seq).The C-index of the integrated nomogram incorporating age, rT-stage, and deep learning PET/CT signature was 0.741 (95% CI: 0.688-0.794) in the training set and 0.732 (95% CI: 0.679-0.785) in the test set. The nomogram stratified patients into two groups with high risk and low risk in both the training set and test set with hazard ratios (HR) of 4.56 (95% CI: 2.80-7.42, p 0.001) and 4.05 (95% CI: 2.21-7.43, p 0.001), respectively. The C-index of the integrated nomogram was significantly higher than the clinical nomogram and single-modality nomograms. When stratified by sex, N-stage, or EBV DNA, risk prediction of our integrated nomogram was valid in all patient subgroups. Further subgroup analysis showed that patients with a low-risk could benefit from surgery and re-irradiation, while there was no difference in survival rates between patients treated by chemotherapy in the high-risk and low-risk groups. RNA sequencing (RNA-seq) of data further explored the mechanism of high- and low-risk patients from the genetic and molecular level.Our study demonstrated that PET/CT-based deep learning signatures showed satisfactory prognostic predictive performance in rNPC patients. The nomogram incorporating deep learning signatures successfully divided patients into different risks and had great potential to guide individual treatment: patients with a low-risk were supposed to be treated with surgery and re-irradiation, while for high-risk patients, the application of palliative chemotherapy may be sufficient.

To evaluate the prognostic value of the dynamic change in absolute lymphocyte counts (ALCs) and absolute monocyte counts (AMCs) and identify patients with N stage and plasma Epstein-Barr virus (EBV) DNA levels in nasopharyngeal carcinoma (NPC) who are at risk of treatment failure.A total of 1124 eligible patients with Stage II-IVb NPC treated with concurrent chemoradiotherapy (CCRT) were enrolled. Percentage changes in the ALC (ΔALC%) and AMC (ΔAMC%) were calculated.Patients with high ΔALC% were correlated with poorer 5-year overall survival (OS), progression-free survival (PFS), and distant metastasis-free survival (DMFS) rates than those with low ΔALC%. Likewise, high ΔAMC% was significantly associated with worse outcome than low ΔAMC% (OS, p = 0.001; PFS, p = 0.001; DMFS, p = 0.034). Multivariate analyses revealed that ΔALC% (p = 0.046), ΔAMC% (p = 0.019), and EBV DNA level (p 0.001) were independent prognostic factors for OS. With respect to PFS, ΔALC% (p = 0.036), ΔAMC% (p = 0.011), N classification (p = 0.016), and EBV DNA level (p 0.001) were also independent prognosticators. Based on the aforementioned independent risk factors (ΔALC% ≥ 83.33%, ΔAMC% ≥ 40.00%, Stage N2-3, EBV DNA ≥ 4000 copies/ml), patients were divided into three different risk groups (low-risk group [with1 risk factor], intermediate risk group [with 1-3 risk factors], and high-risk group [with 4 risk factors]) that correlated with disparate risks of death (p 0.001), disease progression (p 0.001), and distant metastasis (p 0.001).High ΔALC% and ΔAMC% were correlated with poor prognosis in patients with NPC. Risk stratification based on ΔALC%, ΔAMC%, N classification, and plasma EBV DNA levels could provide potential utility for risk-adapted therapeutic strategies for NPC.

To compare the prognosis and adverse effects of induction or adjuvant chemotherapy (IC or AC) plus concurrent chemoradiotherapy (CCRT) versus CCRT alone in paediatric nasopharyngeal carcinoma (NPC) patients in the intensity-modulated radiotherapy (IMRT) era.549 patients diagnosed from 2005 to 2021 were enrolled. Our primary endpoint was progression-free survival (PFS). The recursive partitioning analysis (RPA) was applied to derive a risk stratification system. Kaplan-Meier survival curves were used to assess the cumulative survival rates, and cox analysis was applied to evaluate the relationship between variables and endpoints.The RPA-based risk stratification identified three different risk groups. In the intermediate-risk (stage IVa and EBV4000 copies/ml) group, patients who received IC followed by CCRT achieved a significantly better 3-year PFS rate than those treated with CCRT alone (87.35% versus 75.89%; P = 0.04). But survival benefit was not obtained from the additional IC or AC in the low-risk (stage II-III and EBV4000 copies/ml) or high-risk (stage II-IVa and EBV≥4000 copies/ml) group. The most common grade 3 or 4 adverse events in patients treated with CCRT, IC + CCRT, and CCRT + AC were neutropenia (8.1%, 33.0% versus 36.9%, respectively) and leukopenia (14.1%, 26.8% versus 32.3%, respectively) with statistically significant difference.Paediatric NPC patients in the intermediate-risk group treated with IC followed by CCRT had significantly better PFS compared with patients treated with CCRT alone. And the overall incidence of acute adverse events in patients treated with IC or AC plus CCRT was higher than in patients treated with CCRT alone.

In this study, we aimed to establish and validate an integrated prognostic model for locally recurrent nasopharyngeal carcinoma (lrNPC) patients, and evaluate the benefit of re-radiotherapy (re-RT) in patients with different risk levels.In total, 531 patients with lrNPC were retrospectively reviewed in this study, including 271 patients from 2006 to 2012 as the training cohort and 260 patients from 2013 to 2016 as the validation cohort. Overall survival (OS) was the primary endpoint. Multivariate analysis was performed to select the significant prognostic factors (P 0.05). A prognostic model for OS was derived by recursive partitioning analysis (RPA) combining independent predictors using the algorithm of optimized binary partition.Three independent prognostic factors (age, relapsed T [rT] stage, and Epstein-Barr virus [EBV] DNA) were identified from multivariate analysis. Five prognostic groups were derived from an RPA model that combined rT stage and EBV DNA. After further pair-wise comparisons of survival outcome in each group, three risk groups were generated. We investigated the role of re-RT in different risk groups, and found that re-RT could benefit patients in the low (P 0.001) and intermediate-risk subgroups (P = 0.017), while no association between re-RT and survival benefit was found in the high-risk subgroup (P = 0.328). The results of risk stratification and re-RT efficacy were verified in the validation cohort.Age, rT stage and EBV DNA were identified as independent predictors for lrNPC. We established an integrated RPA-based prognostic model for OS incorporating rT stage and EBV DNA, which could guide individual treatment for lrNPC.

BACKGROUND: Nutritional status is a key factor influencing the prognosis of patients with cancer. The Geriatric Nutritional Risk Index (GNRI) has been used to predict mortality risk and long-term outcomes. In this study, we aimed to evaluate the predictive value of pretreatment GNRI in patients with nasopharyngeal carcinoma (NPC). METHODS: A total of 1,065 patients with biopsy-proven non-disseminated nasopharyngeal carcinoma were included. Based on a cutoff value of pretreatment GNRI, patients were divided into two groups (low ≤107.7 and high >107.7). Combining GNRI and baseline Epstein-Barr virus (EBV) DNA, all patients were further stratified into three risk groups, namely, high-risk (high EBV DNA and low GNRI), low-risk (low EBV DNA and high GNRI), and medium-risk (except the above) groups. Multivariate analyses were performed using the Cox proportional hazards model to assess the predictive value of the GNRI. RESULTS: Among the 1,065 patients, 527 (49.5%) and 538 (50.5%) were divided into low and high GNRI groups, respectively. Within a median follow-up of 83 months, patients with a high GNRI score exhibited significantly higher overall survival (OS), progression-free survival (PFS), and distant metastasis-free survival (DMFS) compared to those with low GNRI scores (P

Purpose Curative radiotherapy for nasopharyngeal carcinoma (NPC) can lead to acquired nasal cavity stenosis and atresia (ANCSA). As the first study to investigate risk factors of ANCSA in a large cohort of NPC patients, this article aims to develop and validate a multivariate normal tissue complication probability (NTCP) model to predict the development of ANCSA and to establish a nomogram for clinical use. Methods and materials The retrospective cohort was comprised of 548 NPC patients treated with radical radiotherapy. The cohort was randomly divided into training and validation groups. Least absolute shrinkage and selection operator regression was performed for variable selection from the clinical and dosimetric characteristics in the training group. A multivariate NTCP model and a nomogram were established for the prediction of ANCSA development. Discrimination and calibration were tested using receiver operating characteristic (ROC) curves and calibration tests, respectively, for both groups. Results ANCSA was observed in 132 (24.1%) of 548 patients with NPC who underwent radical radiotherapy. The median time to ANCSA detection after treatment was 2.8 months (range, 0.0–57.7 months). Five potential predictors, including choanal invasion, low white blood cell count, high C-reactive protein level, high serum amyloid A level, and high V70Gy of the nasal cavity, were selected to develop the NTCP model based on 365 patients in the training group. The model had a fairly good discriminative power according to the ROC analysis in both the training (area under ROC curve = 0.79, 95%CI: 0.73–0.84) and validation (0.73, 0.64–0.82) groups. The calibration power was tested using the calibration test in the training (E-max = 0.069, E-avg = 0.015, p = 0.977) and validation (E-max = 0.057, E-avg = 0.032, p = 0.747) groups. Conclusions We developed and successfully validated an NTCP model for early prediction of ANCSA in patients with NPC after radical radiotherapy. This could help clinicians assess the risk of ANCSA before the initiation of follow-ups and ensure appropriate and timely management of this complication.