BACKGROUND: The combination of immune checkpoint inhibitors and chemotherapy (ICI + Chemo) shows promise in treatment of recurrent or metastatic nasopharyngeal carcinoma (RM-NPC), but some patients received limited benefit and the prognostic factors of the treatments remain unclear. Furthermore, ICIs efficacy in subsequent treatments needs further evaluation. METHODS: A systematic search on PubMed, Embase, the Cochrane Library, and major conference proceedings was conducted to identify relevant studies for meta-analysis. The study was designed to compare ICI + Chemo with chemotherapy in first-line treatment and identify efficacy predictors, and to evaluate ICIs alone in subsequent-line treatment for RM-NPC, with a focus on progression-free survival (PFS), objective response rate (ORR), and treatment-related adverse events (AEs). RESULTS: Fifteen trials involving 1928 patients were included. Three trials compared ICI + Chemo with chemotherapy as a first-line treatment, while 12 trials evaluated ICIs alone in subsequent-line treatment of RM-NPC patients. First-line ICI + Chemo showed superior PFS (hazard ratio [HR] = 0.52, 95% confidence interval [CI], 0.43-0.63; P <0.001) and ORR (risk ratio [RR] = 1.14, 95% CI, 1.05-1.24; P <0.001) compared to chemotherapy, without increased AEs (RR = 1.01, 95% CI, 0.99-1.03; P = 0.481). Neither programmed death-ligand 1 (PD-L1) nor other factors predicted the efficacy of ICI + Chemo vs . chemotherapy. Subsequent-line ICIs alone had a median PFS of 4.12 months (95% CI, 2.93-5.31 months), an ORR of 24% (95% CI, 20-28%), with grade 1-5/grade 3-5 AEs at 79%/14%. However, ICIs alone were associated with significantly shorter PFS (HR = 1.31, 95% CI, 1.01-1.68; P = 0.040) than chemotherapy alone. CONCLUSIONS ICI + Chemo confers superior survival benefits compared to chemotherapy in first-line RM-NPC treatment, independent of PD-L1 expression or other factors. However, ICIs alone demonstrate a manageable safety profile but do not surpass chemotherapy in efficacy for subsequent-line treatment.
Humans ; Immune Checkpoint Inhibitors/adverse effects* ; Nasopharyngeal Carcinoma/drug therapy* ; Nasopharyngeal Neoplasms/drug therapy* ; Neoplasm Recurrence, Local/drug therapy*

Objective:Retrospective analysis of the correlation between clinicopathologic features and related indexes and prognosis in patients with recurrent nasopharyngeal carcinoma. Methods:One hundred and eight nasopharyngeal cancer（NPC） patients with post-treatment recurrence in Yunnan Cancer Hospital from January 2013 to January 2018 were collected, and the survival time was estimated by Kaplan-Meier method, and clinicopathological characteristics were analyzed by log-rank test; risk factors and prognosis were analyzed by Cox proportional risk model for single-factor and multifactorial analysis. A P-value <0.05 was considered statistically significant. Results:The median survival of all patients was 54 months, with a 3-year survival rate of 80.2% and a 5-year survival rate of 39.8%. The 5-year overall survival rate was 50.2% for patients >46 years old and 27.9% for patients ≤46 years old（P<0.05）, a statistically significant difference. Univariate analysis showed that overall survival was associated with age, chemotherapy regimen, EBV early antigen IgA, plasma D-dimer, glycan antigen-125, γ-interferon, α-tumor necrosis factor, IL-10, and IL-4（P<0.05）. Multifactorial analysis revealed that age, chemotherapy regimen, EBV early antigen IgA, plasma D-dimer, glycan antigen-125, and interleukin 10 were independent influences on the prognosis of recurrent nasopharyngeal carcinoma（P<0.05）. Conclusion:Differences in chemotherapy regimens affect the prognosis of recurrent nasopharyngeal carcinoma. Elevated plasma D-dimer, glycan antigen 125, and interleukin 10 levels affect the overall survival of recurrent nasopharyngeal carcinoma, which may be a valid independent prognostic factor, and are expected to provide new biomarkers for nasopharyngeal carcinoma in the clinic.
Humans ; Prognosis ; Nasopharyngeal Neoplasms/mortality* ; Nasopharyngeal Carcinoma ; Retrospective Studies ; Neoplasm Recurrence, Local ; Male ; Middle Aged ; Female ; Survival Rate ; Adult ; Risk Factors ; Interleukin-10/blood* ; Aged ; Proportional Hazards Models

Objective:To explore the value of spectral CT parameters combined with dynamic contrast enhanced magnetic resonance imaging（DCE-MRI） parameters in the short-term efficacy of concurrent chemoradiotherapy for nasopharyngeal carcinoma. Methods: A total of 110 cases with nasopharyngeal carcinoma Ⅲ-Ⅳ staging who received synchronous radiotherapy and chemotherapy at our Hospital from October 2022 to October 2024 were regarded as the study subjects. Complying with the evaluation results after radiotherapy and chemotherapy, they were divided into a complete remission（CR） group of 53 cases and a non CR group of 57 cases. All patients underwent DCE-MRI and energy dispersive CT scans to obtain parameters, such as iodine concentration（IC）, volume transfer constant（Ktrans）, slope of spectral HU curve（λHU）, rate constant（Kep）, and normalized iodine concentration（NIC）. Logistic regression analysis was used to screen for influencing factors. ROC curve was used to analyze the evaluation value of various parameters. In addition, Z-test was used to compare area under the curve（AUC）. Results:The proportion of retropharyngeal lymph node metastasis and λHUvalue in the non CR group were higher than those in the CR group, while Ktrans, Kep, IC value, and NIC value were lower than those in the CR group（P<0.05）. Retropharyngeal lymph node metastasis, Ktrans, Kep, IC value, λHUvalue, and NIC value were all influencing factors（P<0.05）. The AUC of individual prediction of Ktrans, Kep, IC value, λHUvalue, and NIC value was 0.817, 0.800, 0.785, 0.783, and 0.835, respectively. The AUC of the combination of DCE-MRI parameters, the combination of spectral CT parameters, and the combination of the five parameters were 0.874, 0.900, and 0.980, respectively, the AUC of the combination of the five parameters was significantly higher than the AUC of each indicator alone, the AUC of the combination of DCE-MRI parameters, and the AUC of the combination of spectral CT parameters（P<0.05）. Conclusion:The DCE-MRI, and spectral CT parameters （Ktrans, Kep, IC value, λHUvalue, and NIC value）can be used to evaluate concurrent radiotherapy and chemotherapy short-term efficacy for nasopharyngeal carcinoma. And the combination of various parameters can greatly improve the predictive value of efficacy, which has important clinical application value.
Humans ; Chemoradiotherapy ; Nasopharyngeal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging ; Nasopharyngeal Carcinoma ; Tomography, X-Ray Computed ; Male ; Female ; Contrast Media ; Middle Aged ; Adult ; Lymphatic Metastasis ; Dynamic Contrast Enhanced Magnetic Resonance Imaging

Nasopharyngeal carcinoma（NPC） is a distinct type of head and neck cancer closely associated with Epstein-Barr virus（EBV） infection and exhibits significant geographic variations in its incidence. Despite recent advancements in radiotherapy techniques and precision medicine for NPC, the overall survival rate remains unsatisfactory due to tumor metastasis, recurrence, and drug resistance. Single-cell RNA sequencing（scRNA-seq） is an emerging technology that allows for the analysis of gene expression at single-cell resolution, providing a clearer understanding of tumor cell subpopulations, the evolutionary trajectory of tumor cells, and the functional roles and interactions of cells within the tumor microenvironment. This provides new ideas for the development of precision medicine in NPC. Here, we review the applications of scRNA-seq in exploring the mechanisms of NPC pathogenesis, tumor heterogeneity, the tumor microenvironment, drug resistance, and therapeutic response.
Humans ; Nasopharyngeal Neoplasms/genetics* ; Tumor Microenvironment ; Nasopharyngeal Carcinoma ; Single-Cell Analysis ; Sequence Analysis, RNA ; Precision Medicine ; Drug Resistance, Neoplasm ; Epstein-Barr Virus Infections ; Herpesvirus 4, Human ; Single-Cell Gene Expression Analysis

OBJECTIVES: To explore the synthesis of high-quality CT (sCT) from cone-beam CT (CBCT) using PE-CycleGAN for adaptive radiotherapy (ART) for nasopharyngeal carcinoma. METHODS: A perception-enhanced CycleGAN model "PE-CycleGAN" was proposed, introducing dual-contrast discriminator loss, multi-perceptual generator loss, and improved U-Net structure. CBCT and CT data from 80 nasopharyngeal carcinoma patients were used as the training set, with 7 cases as the test set. By quantifying the mean absolute error (MAE), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), as well as the dose gamma pass rate and the relative dose deviations of the target area and organs at risk (OAR) between sCT and reference CT, the image quality and dose calculation accuracy of sCT were evaluated. RESULTS: The MAE of sCT generated by PE-CycleGAN compared to the reference CT was (56.89±13.84) HU, approximately 30% lower than CBCT's (81.06±15.86) HU (P<0.001). PE-CycleGAN's PSNR and SSIM were 26.69±2.41dB and 0.92±0.02 respectively, significantly higher than CBCT's 21.54±2.37dB and 0.86±0.05 (P<0.001), indicating substantial improvements in image quality and structural similarity. In gamma analysis, under the 2 mm/2% criterion, PE-CycleGAN's sCT achieved a pass rate of (90.13±3.75)%, significantly higher than CBCT's (81.65±3.92)% (P<0.001) and CycleGAN's (87.69±3.50)% (P<0.05). Under the 3 mm/3% criterion, PE-CycleGAN's sCT pass rate of (90.13±3.75)% was also significantly superior to CBCT's (86.92±3.51)% (P<0.001) and CycleGAN's (94.58±2.23)% (P<0.01). The mean relative dose deviation of the target area and OAR between sCT and planned CT was within ±3% for all regions, except for the Lens Dmax (Gy), which had a deviation of 3.38% (P=0.09). The mean relative dose deviations for PTVnx HI, PTVnd HI, PTVnd CI, PTV1 HI, PRV_SC, PRV_BS, Parotid, Larynx, Oral, Mandible, and PRV_ON were all less than ±1% (P>0.05). CONCLUSIONS PE-CycleGAN demonstrates the ability to rapidly synthesize high-quality sCT from CBCT, offering a promising approach for CBCT-guided adaptive radiotherapy in nasopharyngeal carcinoma.
Humans ; Cone-Beam Computed Tomography/methods* ; Nasopharyngeal Neoplasms/diagnostic imaging* ; Nasopharyngeal Carcinoma/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods* ; Radiotherapy Dosage ; Signal-To-Noise Ratio ; Radiotherapy, Intensity-Modulated

OBJECTIVES: To investigate CEACAM6 expression in nasopharyngeal carcinoma (NPC) and its regulatory effects on tumor cell proliferation, migration, and epithelial-mesenchymal transition (EMT). METHODS: CEACAM6 expression in NPC was analyzed using GEO datasets and validated by immunohistochemistry in NPC tissues and by Western blotting and RT-qPCR in NPC cell lines (HNE1, C666-1, HK1, 5-8F and CNE2Z) and normal nasopharyngeal epithelial NP69 cells. In the NPC cell lines, the effects of lentivirus-mediated CEACAM6 overexpression and knockdown on cell proliferation, migration, invasion and cytoskeletal structures were evaluated using CCK-8 assay, Edu staining, wound healing assay, Transwell assay, and phalloidin staining. Western blotting was performed to determine the expressions of EMT-related proteins (FN1, ITGA5, ITGB1, E-cadherin, N-cadherin and vimentin) in the NPC cells and the effect of FN1 overexpression on ITGA5 and ITGB1 protein expressions. RESULTS: Analysis of the data from the GEO datasets suggested that CEACAM6 was significantly downregulated in NPC, which was associated with poor patient prognosis. Immunohistochemistry also showed low expressions of CEACAM6 in clinical NPC tissues (P<0.05). In NPC cells, CEACAM6 overexpression significantly suppressed cell proliferation, migration and invasion and reduced the fluorescence intensity of actin. CEACAM6 overexpression also resulted in significant downregulation of FN1, ITGA5, ITGB1, N-cadherin and vimentin expressions and upregulation of E-cadherin expression, and FN1 overexpression obviously attenuated the inhibitory effect of CEACAM6 overexpression on ITGA5 and ITGB1 expressions. CONCLUSIONS CEACAM6 inhibits NPC cell migration and invasion by inhibiting EMT via regulating FN1, ITGA5 and ITGB1 expressions.
Humans ; Epithelial-Mesenchymal Transition ; Cell Movement ; Cell Proliferation ; Nasopharyngeal Carcinoma ; Nasopharyngeal Neoplasms/metabolism* ; Cell Line, Tumor ; Cell Adhesion Molecules/genetics* ; Antigens, CD/metabolism* ; GPI-Linked Proteins ; Integrin alpha5/metabolism* ; Integrin beta1/metabolism* ; Cadherins/metabolism* ; Fibronectins ; Integrins

OBJECTIVES: We propose a novel deep learning segmentation algorithm (DSRF) based on multi-scale supervision and residual feedback strategy for precise segmentation of the optic chiasm and optic nerves in CT images of nasopharyngeal carcinoma (NPC) patients. METHODS: We collected 212 NPC CT images and their ground truth labels from SegRap2023, StructSeg2019 and HaN-Seg2023 datasets. Based on a hybrid pooling strategy, we designed a decoder (HPS) to reduce small organ feature loss during pooling in convolutional neural networks. This decoder uses adaptive and average pooling to refine high-level semantic features, which are integrated with primary semantic features to enable network learning of finer feature details. We employed multi-scale deep supervision layers to learn rich multi-scale and multi-level semantic features under deep supervision, thereby enhancing boundary identification of the optic chiasm and optic nerves. A residual feedback module that enables multiple iterations of the network was designed for contrast enhancement of the optic chiasm and optic nerves in CT images by utilizing information from fuzzy boundaries and easily confused regions to iteratively refine segmentation results under supervision. The entire segmentation framework was optimized with the loss from each iteration to enhance segmentation accuracy and boundary clarity. Ablation experiments and comparative experiments were conducted to evaluate the effectiveness of each component and the performance of the proposed model. RESULTS: The DSRF algorithm could effectively enhance feature representation of small organs to achieve accurate segmentation of the optic chiasm and optic nerves with an average DSC of 0.837 and an ASSD of 0.351. Ablation experiments further verified the contributions of each component in the DSRF method. CONCLUSIONS The proposed deep learning segmentation algorithm can effectively enhance feature representation to achieve accurate segmentation of the optic chiasm and optic nerves in CT images of NPC.
Humans ; Tomography, X-Ray Computed/methods* ; Optic Chiasm/diagnostic imaging* ; Optic Nerve/diagnostic imaging* ; Algorithms ; Nasopharyngeal Carcinoma ; Deep Learning ; Nasopharyngeal Neoplasms/diagnostic imaging* ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods*

OBJECTIVES: To elucidate the molecular mechanism by which villin-like protein VILL (VILL) inhibits proliferation of nasopharyngeal carcinoma (NPC) cells. METHODS: Co-immunoprecipitation (CO-IP) assay, mass spectrometry, Western blotting, immunofluorescence staining, and GST pull-down assay were employed to identify and confirm the protein interacting with VILL that had the highest abundance in NPC cell lines. Transgenic experiments were conducted in both NPC cell lines and nude mice to validate the regulatory role of VILL and its target protein in NPC proliferation. Immunohistochemistry was utilized to assess the correlation of the expression levels of VILL and its target protein in clinical tissue specimens of NPC with the clinical features of the patients. RESULTS: In NPC cell lines (HONE1 EBV and S18), VILL was found to interact most abundantly with the E3 ubiquitin ligase LMO7, and both proteins co-localized in the cytoplasm with direct interactions. Overexpression of LMO7 partially counteracted the inhibitory effect of VILL on NPC cell proliferation. The expression of VILL was significantly downregulated in 136 NPC tissue samples compared to 67 non-cancerous nasopharyngeal tissues (P<0.00001) with close correlation with clinical T stage (P=0.04), N stage (P=0.01), and M stage (P=0.013), whereas LMO7 was highly expressed in all the NPC tissues. CONCLUSIONS VILL overexpression inhibits NPC proliferation probably by suppressing the oncogenic function of LMO7.
Nasopharyngeal Neoplasms/metabolism* ; Humans ; LIM Domain Proteins/metabolism* ; Cell Proliferation ; Cell Line, Tumor ; Animals ; Mice ; Nasopharyngeal Carcinoma ; Mice, Nude ; Transcription Factors/metabolism* ; Carcinoma ; Female ; Microfilament Proteins/genetics* ; Male ; Middle Aged

OBJECTIVES: To evaluate the effect of artificial intelligence-assisted compressed sensing (ACS) acceleration on MRI radiomic feature extraction and performance of diagnostic staging models for nasopharyngeal carcinoma (NPC) in comparison with conventional parallel imaging (PI). METHODS: A total of 64 patients with newly diagnosed NPC underwent 3.0T MRI using axial T1-weighted (T1W), T2-weighted (T2W), and contrast-enhanced T1-weighted (CE-T1W) sequences. Both PI and ACS protocols were performed using identical imaging parameters. The total scan time for the 3 sequences in ACS group was 227 s, representing a 30% reduction from 312 s in the PI group. Eighteen first-order and 75 texture features were extracted using Pyradiomics. Intraclass correlation coefficients (ICCs) were calculated to assess the agreement between the two acceleration methods. After feature selection using the least absolute shrinkage and selection operator (LASSO), random forest regression models were constructed to distinguish early-stage (T1 and T2) from advanced-stage (T3 and T4) NPC. The diagnostic performance of the models was evaluated using the area under the receiver operating characteristic curve (AUC) and compared using the DeLong test. RESULTS: ACS-accelerated images demonstrated good radiomic reproducibility, with 86.0% (240/279) of features showing good agreement (ICC>0.75), with mean ICCs for T1W, T2W and CE-T1W sequences of 0.91±0.09, 0.89±0.13 and 0.88±0.11, respectively. The staging prediction models achieved similar AUCs for ACS and PI (0.89 vs 0.90, P=0.991). CONCLUSIONS The MRI radiomic features extracted using ACS and PI techniques are highly consistent, and the ACS-based model shows comparable diagnostic performance to the PI-based model, but ACS significantly reduces the scan time and provides an efficient and reliable acceleration strategy for radiomics in NPC.
Humans ; Nasopharyngeal Neoplasms/diagnosis* ; Magnetic Resonance Imaging/methods* ; Nasopharyngeal Carcinoma ; Neoplasm Staging ; Artificial Intelligence ; Carcinoma ; Female ; Male ; Middle Aged ; Adult ; Radiomics

The introduction of PD-1 blockades to chemotherapy and radiotherapy has shown promising outcomes in patients with nasopharyngeal carcinoma, but anti-PD-1 therapies are only effective in a small proportion of patients, indicating the need for reliable predictive biomarkers of benefit from immunotherapy. Here, we summarized recent advances in immunotherapy for nasopharyngeal carcinoma and studies on potential predictors that correlated with treatment response or long-term survival after immunotherapy, including biomarkers in both the tumor microenvironment and the tumor macroenvironment. Some of these biomarkers have been validated as truly predictive of immunotherapy benefit using cohorts from randomized controlled trials, while others still require further validation of their predictive value. We also summarized the challenges and future directions of biomarker studies, hopefully facilitating the development of predictive biomarkers for immunotherapy that can eventually enter clinical practice.
Humans ; Tumor Microenvironment/immunology* ; Nasopharyngeal Carcinoma/immunology* ; Immunotherapy/methods* ; Nasopharyngeal Neoplasms/immunology* ; Biomarkers, Tumor/metabolism* ; Immune Checkpoint Inhibitors/therapeutic use*