External validity of a prognostic nomogram for locoregionally advanced nasopharyngeal carcinoma based on the 8th edition of the AJCC/UICC staging system: a retrospective cohort study
Abstract:BackgroundThe tumor–node–metastasis (TNM) staging system does not perform well for guiding individualized induction or adjuvant chemotherapy for patients with locoregionally advanced nasopharyngeal carcinoma (NPC). We attempted to externally validate the Pan’s nomogram, developed based on the 8th edition of the American Joint Committee on Cancer (AJCC)/Union for International Cancer Control (UICC) staging system, for patients with locoregionally advanced disease. In addition, we investigated the reliability of… Show more
“…Unsupervised hierarchical clustering of radiomics features of the two pipelines against known prognostic clinical variables of T-, N- categories, and GTVp was performed in R (using ward.D2 as the agglomeration method). 17–19 All statistical analyses were performed on the R statistical package (v. 3.5.2, https://www.r-project.org). A two-sided p ≤ 0.05 was set as the cut-off for statistical significance.…”
Objective:Radiomics pipelines have been developed to extract novel information from radiological images, which may help in phenotypic profiling of tumours that would correlate to prognosis. Here, we compared two publicly available pipelines for radiomics analyses on head and neck CT and MRI in nasopharynx cancer (NPC).Methods and materials:100 biopsy-proven NPC cases stratified by T- and N-categories were enrolled in this study. Two radiomics pipeline, Moddicom (v. 0.51) and Pyradiomics (v. 2.1.2) were used to extract radiomics features of CT and MRI. Segmentation of primary gross tumour volume was performed using Velocity v. 4.0 by consensus agreement between three radiation oncologists. Intraclass correlation between common features of the two pipelines was analysed by Spearman’s rank correlation. Unsupervised hierarchical clustering was used to determine association between radiomics features and clinical parameters.Results:We observed a high proportion of correlated features in the CT data set, but not for MRI; 76.1% (51 of 67 common between Moddicom and Pyradiomics) of CT features and 28.6% (20 of 70 common) of MRI features were significantly correlated. Of these, 100% were shape-related for both CT and MRI, 100 and 23.5% were first-order-related, 61.9 and 19.0% were texture-related, respectively. This interpipeline heterogeneity affected the downstream clustering with known prognostic clinical parameters of cTN-status and GTVp. Nonetheless, shape features were the most reproducible predictors of clinical parameters among the different radiomics modules.Conclusion:Here, we highlighted significant heterogeneity between two publicly available radiomics pipelines that could affect the downstream association with prognostic clinical factors in NPCAdvances in knowledge:The present study emphasized the broader importance of selecting stable radiomics features for disease phenotyping, and it is necessary prior to any investigation of multicentre imaging datasets to validate the stability of CT-related radiomics features for clinical prognostication.
“…Unsupervised hierarchical clustering of radiomics features of the two pipelines against known prognostic clinical variables of T-, N- categories, and GTVp was performed in R (using ward.D2 as the agglomeration method). 17–19 All statistical analyses were performed on the R statistical package (v. 3.5.2, https://www.r-project.org). A two-sided p ≤ 0.05 was set as the cut-off for statistical significance.…”
Objective:Radiomics pipelines have been developed to extract novel information from radiological images, which may help in phenotypic profiling of tumours that would correlate to prognosis. Here, we compared two publicly available pipelines for radiomics analyses on head and neck CT and MRI in nasopharynx cancer (NPC).Methods and materials:100 biopsy-proven NPC cases stratified by T- and N-categories were enrolled in this study. Two radiomics pipeline, Moddicom (v. 0.51) and Pyradiomics (v. 2.1.2) were used to extract radiomics features of CT and MRI. Segmentation of primary gross tumour volume was performed using Velocity v. 4.0 by consensus agreement between three radiation oncologists. Intraclass correlation between common features of the two pipelines was analysed by Spearman’s rank correlation. Unsupervised hierarchical clustering was used to determine association between radiomics features and clinical parameters.Results:We observed a high proportion of correlated features in the CT data set, but not for MRI; 76.1% (51 of 67 common between Moddicom and Pyradiomics) of CT features and 28.6% (20 of 70 common) of MRI features were significantly correlated. Of these, 100% were shape-related for both CT and MRI, 100 and 23.5% were first-order-related, 61.9 and 19.0% were texture-related, respectively. This interpipeline heterogeneity affected the downstream clustering with known prognostic clinical parameters of cTN-status and GTVp. Nonetheless, shape features were the most reproducible predictors of clinical parameters among the different radiomics modules.Conclusion:Here, we highlighted significant heterogeneity between two publicly available radiomics pipelines that could affect the downstream association with prognostic clinical factors in NPCAdvances in knowledge:The present study emphasized the broader importance of selecting stable radiomics features for disease phenotyping, and it is necessary prior to any investigation of multicentre imaging datasets to validate the stability of CT-related radiomics features for clinical prognostication.
“…classified according to the World Health Organization (WHO) Tumor-Node-Metastasis staging system (16,17). The patients with a history of radiotherapy or chemotherapy were excluded.…”
Section: Effects Of Kif2a On the Prognosis Of Nasopharyngeal Carcinommentioning
Nasopharyngeal carcinoma (NPC) is a common tumor in south China. Kinesin family member 2A (KIF2A) belongs to the kinesin-13 family and is associated with the growth and invasion of a number of different types of human cancer, including ovarian, breast and prostate cancer. The aim of the present study was to evaluate the expression of KIF2A in NPC and explore the relationship between KIF2A and the basic characteristics of 5-8F cells. Immunohistochemistry was performed on tissues from 97 patients with NPC to assess KIF2A protein expression. KIF2A was knocked down by a specific short interfering (si)RNA in 5-8F cell lines. Cell proliferation, apoptosis and cycle were analyzed by MTT assay and flow cytometry. The invasive ability and angiogenesis were evaluated by Matrigel assay and reverse transcription-quantitative PCR. The level of KIF2A was associated with the growth and migration of primary tumor, nodal status and tumor stage. The viability of KIF2A-knockdown cells was decreased compared with that of the control cells. The number of apoptotic cells, as well as the percentage of cells in the G0/G1 phase, was higher in the KIF2A siRNA group compared with the control group. The invasive and angiogenetic ability of 5-8F cells in the KIF2A siRNA group was decreased compared with the control group. In conclusion, the expression of KIF2A correlated with the poor clinicopathological features in NPC. Therefore, KIF2A may serve an important role in the progression of NPC and proliferation of 5-8F cells, which might present a potential therapeutic target for patients with NPC.
“…Interestingly, we noted that only patients with low pretreatment EBV DNA levels (≤30,000 copies/mL) benefited from capecitabine maintenance, whereas patients with high EBV DNA levels did not. This result might be explained by that plasma EBV DNA level was correlated with the tumor burden and prognosis of NPC [22, 23, 32‐35]. For patients with a low EBV DNA level, the distant lesions and primary tumor were better controlled after PCT and LRRT compared with patients with high EBV DNA level.…”
Background
Capecitabine was previously used as a second‐line or salvage therapy for metastatic nasopharyngeal carcinoma (NPC) and has shown satisfactory curative effect as maintenance therapy in other metastatic cancers. This study aimed to explore the role of capecitabine as maintenance therapy in de novo metastatic NPC patients with different plasma Epstein‐Barr virus (EBV) DNA levels before treatment.
Methods
We selected de novo metastatic NPC patients treated with locoregional radiotherapy (LRRT) for this retrospective study. The propensity score matching (PSM) was applied to balance potential confounders between patients who underwent capecitabine maintenance therapy and those who did not with a ratio of 1:3. Overall survival (OS) was the primary endpoint. The association between capecitabine maintenance therapy and survival was assessed using the log‐rank test and a Cox proportional hazard model.
Results
Among all patients eligible for this study, 64 received capecitabine maintenance therapy after LRRT. After PSM, 192 patients were identified in the non‐maintenance group. In the matched cohort, patients treated with capecitabine achieved a higher 3‐year OS rate compared with patients in the non‐maintenance group (68.5% vs. 61.8%, P = 0.037). Multivariate analysis demonstrated that capecitabine maintenance therapy was an independent prognostic factor. In subgroup analysis, 3‐year OS rate was comparable between the maintenance and non‐maintenance groups in patients with high pretreatment EBV DNA levels (˃30,000 copies/mL) (54.8% vs. 45.8%, P = 0.835), whereas patients with low pretreatment EBV DNA levels (≤30,000 copies/mL) could benefit from capecitabine maintenance therapy in OS (90.0% vs. 68.1%, P = 0.003).
Conclusion
Capecitabine maintenance therapy may be superior to non‐maintenance therapy in prolonging OS for de novo metastatic NPC patients with pretreatment EBV DNA ≤ 30,000 copies/mL.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.