The predictive value of serum lipids for eye metastases in male nasopharyngeal carcinoma patients

Xie, Zhen; Shao, Yi

doi:10.1042/bsr20201082

Cited by 5 publications

(5 citation statements)

References 44 publications

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“…Besides, different treatments were given for the management of the high levels of LDL-C in the patients. Therefore, the results can vary due to these factors, whereas the relation between VLDL-C and triglycerides with breast cancer risk was reported previously [ 17 , 21 , 22 , 31 , 34 ] and NPC [ 27 ].…”

Section: Discussionmentioning

confidence: 96%

“…Xie and Shao performed a retrospective study on 1140 patients with nasopharyngeal carcinoma (NPC) [ 27 ]. These patients were grouped into those with eye metastasis and without eye metastasis.…”

Section: Discussionmentioning

confidence: 99%

“…However, the study did not include other types of lipoproteins to compare the differences. Low LDL-C has also been associated with liver cancer [ 28 ], and a significant reduction in total cholesterol occurred among male patients with NPC [ 27 ]. However, larger population studies are needed to further confirm these findings.…”

Section: Discussionmentioning

confidence: 99%

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Lipoproteins as Markers for Monitoring Cancer Progression

Maran

Hamid

2021

Journal of Lipids

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Lipoproteins are among the contributors of energy for the survival of cancer cells. Studies indicate there are complex functions and metabolism of lipoproteins in cancer. The current review is aimed at providing updates from studies related to the monitoring of lipoproteins in different types of cancer. This had led to numerous clinical and experimental studies. The review covers the major lipoproteins such as LDL cholesterol (LDL-C), oxidized low-density lipoprotein cholesterol (oxLDL-C), very low-density lipoprotein cholesterol (VLDL-C), and high-density lipoprotein cholesterol (HDL-C). This is mainly due to increasing evidence from clinical and experimental studies that relate association of lipoproteins with cancer. Generally, a significant association exists between LDL-C with carcinogenesis and high oxLDL with metastasis. This warrants further investigations to include Mendelian randomization design and to be conducted in a larger population to confirm the significance of LDL-C and its oxidized form as prognostic markers of cancer.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

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Lipoproteins as Markers for Monitoring Cancer Progression

Maran

Hamid

2021

Journal of Lipids

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“…OM is a rare type of NPC metastasis and, once it occurs, its prognosis is extremely poor. It is often accompanied by multiple metastases throughout the body and the clinical treatment for patients is often radiotherapy (25). To date, OM in breast cancer (26), lung cancer (27), gastric cancer (28), and esophageal cancer have been reported.…”

Section: Discussionmentioning

confidence: 99%

Machine-learning model of eye metastasis in nasopharyngeal carcinoma based on the AdaBoost method

Rong,

Wen,

et al. 2023

Preprint

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Background Nasopharyngeal carcinoma (NPC) is a common cancer of the head and neck, and the eye is a common metastatic site of NPC. This study aimed to use machine learning (ML) to establish a clinical prediction model for ocular metastasis (OM) in NPC patients. Methods We retrospectively collected clinical data from 1,855 patients with NPC who were randomized to a training set and internal test set. Patients with NPC were divided into the OM group or the non-ocular metastasis (NOM) group. Independent risk factors for NPC-related hypertension risk were screened with multivariate logistic regression models. Six ML algorithms were used, including AdaBoost (AB), logistic regression (LR), random forest (RF), multilayer perceptron (MLP), bagging (BAG), and XGBoost (XGB). The training set was used to tune the model parameters to determine the final prediction model, and the test set was used to evaluate the training model. We compared the accuracy, sensitivity, area under the ROC curve, F1 score, and specificity of the models to determine the best machine-learning algorithm for predicting the probability of OM in NPC patients. In addition, a web calculator was developed to facilitate its clinical application. Results Among these six models, the AB model had the best differential diagnostic ability (F1 score = 0.773, area under the curve = 0.995, accuracy = 0.983, sensitivity = 0.833, and specificity = 0.985). Based on this model, an online web calculator was constructed to calculate the probability of OM in NPC patients to help clinicians differentially diagnose the disease. Finally, the Shapley Supplementary Interpretation library was used to screen the five most important risk factors for OM in NPC patients: TG, Cyfra 21 1, CA199, Hb, TC, and Pathology type. Conclusion We developed a risk prediction model for OM in NPC patients using ML methods and demonstrated that the AB model performed best among six ML models. This prediction model can help to identify patients with OM from NPC, provide early and individualized diagnosis and treatment plans, protect patients from OM from NPC, and minimize the burden on society.

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“…In contrast to the level in normal nasopharyngeal epithelium, the accumulation of lipid droplets in NPC increases greatly, which may be associated with downregulation of the lipolysis gene adipose triglyceride lipase (ATGL) via EBV-encoded LMP2A ( 56 ). Lipid-lowering drugs, such as lovastatin, can effectively inhibit nasopharyngeal oncogenesis ( 57 , 58 ).…”

Section: Fatty Acid Metabolismmentioning

confidence: 99%

Metabolic Reprogramming and Immune Evasion in Nasopharyngeal Carcinoma

Huang

Tang

et al. 2021

Front. Immunol.

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Nasopharyngeal carcinoma (NPC) is a malignant tumor of the nasopharynx mainly characterized by geographic distribution and EBV infection. Metabolic reprogramming, one of the cancer hallmarks, has been frequently reported in NPCs to adapt to internal energy demands and external environmental pressures. Inevitably, the metabolic reprogramming within the tumor cell will lead to a decreased pH value and diverse nutritional supplements in the tumor-infiltrating micro-environment incorporating immune cells, fibroblasts, and endothelial cells. Accumulated evidence indicates that metabolic reprogramming derived from NPC cells may facilitate cancer progression and immunosuppression by cell-cell communications with their surrounding immune cells. This review presents the dysregulated metabolism processes, including glucose, fatty acid, amino acid, nucleotide metabolism, and their mutual interactions in NPC. Moreover, the potential connections between reprogrammed metabolism, tumor immunity, and associated therapy would be discussed in this review. Accordingly, the development of targets on the interactions between metabolic reprogramming and immune cells may provide assistances to overcome the current treatment resistance in NPC patients.

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The predictive value of serum lipids for eye metastases in male nasopharyngeal carcinoma patients

Cited by 5 publications

References 44 publications

Lipoproteins as Markers for Monitoring Cancer Progression

Lipoproteins as Markers for Monitoring Cancer Progression

Machine-learning model of eye metastasis in nasopharyngeal carcinoma based on the AdaBoost method

Metabolic Reprogramming and Immune Evasion in Nasopharyngeal Carcinoma

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