ArticleJournal of inflammation research2023
Development of Prognostic Nomogram Based on Lipid Metabolic Markers and Lactate Dehydrogenase in Non-Metastatic Nasopharyngeal Carcinoma.
Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Blood lipid metabolic biomarkers are emerging as significant prognostic indicators for survival in cancer patients.BMC cancer · 2024Pooled it
- A Nomogram Based on Tumor Response to Induction Chemotherapy and Plasma Epstein-Barr Virus DNA Level after Induction Chemotherapy to Explore Individualized Treatment of Patients with Locally Advanced Nasopharyngeal Carcinoma.Journal of inflammation research · 2025Article
- Comparative study on the predictive value of TyG, TyG-BMI, and TG/HDL-C for progression-free survival in patients with locally advanced nasopharyngeal carcinoma.Frontiers in nutrition · 2025Article
- Fatty acid metabolism: A new target for nasopharyngeal carcinoma therapy.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024Article
- Triglyceride-inflammation score established on account of random survival forest for predicting survival in patients with nasopharyngeal carcinoma: a retrospective study.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To establish and verify a comprehensive prognostic nomogram for predicting survival outcomes and improving the prognosis for non-metastatic nasopharyngeal carcinoma (NPC). Patients and Methods: Our retrospective study screened 613 cases of non-metastatic NPC who received radiotherapy from July 2012 to December 2016. A reliable nomogram was formulated for predicting overall survival (OS) and progression-free survival (PFS) using all independent predictors selected by Cox regression analysis. A comparison is conducted between the current staging and the predictive performance of the nomogram. Internal validation was performed in a single center using the validation cohort to assess predictive accuracy and discrimination. Results: High-density lipoprotein cholesterol, Epstein-Barr virus DNA and lactate dehydrogenase were determined to be valuable predictive indicators for predicting OS and PFS. Triglycerides were a valuable predictive indicator for predicting OS. Calibration curves demonstrated that the nomogram had remarkable correspondence between the prediction outcomes and the actual observations. Receiver operating characteristic curves showed that the nomogram had greater area under the curve and more satisfactory discrimination capability than the current TNM staging. Decision curve analysis revealed that the nomogram had high net clinical benefits. Significant differences were observed when low- and high-risk groups were stratified via Kaplan-Meier curves. Conclusion: Our proposed nomogram combining lipid metabolic markers and lactate dehydrogenase could assist clinicians in the accurate prognostic prediction of non-metastatic NPC patients and provide personalized treatment recommendations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.