Related Experiment Video
Updated: Jan 23, 2026

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
Routine coagulation molecules predict nasopharyngeal carcinoma and associated metastases
1Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi University of Chinese medicine, Nanning, Guangxi, P.R. China.
Abstract:
Introduction: Most patients with malignant solid tumours have abnormal blood coagulation and an abnormal peripheral blood count, but data on nasopharyngeal carcinoma is scare. We hypothesised abnormal coagulation indices and red cell distribution width (RDW) in this group that are linked to the tumour (T), lymph node (N) and metastatic aspects (M) of the patients.Methods: We recruited 740 newly diagnosed patients with nasopharyngeal carcinoma and 238 healthy controls, taking venous blood for prothrombin time, activated partial thromboplastin time (APTT), thrombin time, fibrinogen, fibrin degradation products (FDP), D-dimer, RD), platelets and platelet distribution width (PDW). In the patients, lab indices were analysed according to clinical stage.Results: All indices except thrombin time were significantly different between cases and controls (p < 0.001), and many predicted TNM classifications and early or late stage of the disease. In sensitivity/specificity analysis, the prothrombin time, APTT and PDW gave AUCs >0.7, and in combination gave an AUC of 0.88 (95% CI 0.86-0.91) for nasopharyngeal carcinoma. No index provided an AUC >0.7 for T or N classification, or early v late stage, but APTT, fibrinogen and FDP all gave AUCs ≥0.7 for predicting metastases. Together, these three indices gave an AUC of 0.84 (0.78-0.91).Conclusions: Routine coagulation indices can predict nasopharyngeal carcinoma, with the combination of prothrombin time, APTT and PDW being strongest. The combination of APTT, fibrinogen and FDPs provides a useful score to predict metastases. These indices should be considered in the diagnosis and staging of this disease.
More Related Videos
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Coagulation
Coagulation
During the coagulation phase, clotting factors, or procoagulants, play a vital role in initiating and progressing the coagulation cascade. This cascade is a series of reactions...
Suctioning the Nasopharyngeal Airway
Equipment Required
Predicting Molecular Geometry
Molecules and Compounds
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.