Association of poor metabolizers of cytochrome P450 2C19 with head and neck cancer and poor treatment response

2008 ◽  
Vol 644 (1-2) ◽  
pp. 31-37 ◽  
Author(s):  
Sunishtha S. Yadav ◽  
Munindra Ruwali ◽  
Parag P. Shah ◽  
Neeraj Mathur ◽  
Ram L. Singh ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Treatment Response ◽  
Neck Cancer ◽  
Poor Metabolizers ◽  
Cytochrome P450 2C19 ◽  
Poor Treatment ◽  
Poor Treatment Response

scholarly journals Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer

2020 ◽  
Vol 6 (1) ◽  
pp. FSO433 ◽  
Author(s):  
William T Tran ◽  
Harini Suraweera ◽  
Karina Quaioit ◽  
Daniel Cardenas ◽  
Kai X Leong ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Lymph Nodes ◽  
Head And Neck ◽  
Treatment Response ◽  
Neck Cancer ◽  
Quantitative Ultrasound ◽  
Area Under The Curve ◽  
Imaging Features ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph

Aim: We aimed to identify quantitative ultrasound (QUS)-radiomic markers to predict radiotherapy response in metastatic lymph nodes of head and neck cancer. Materials & methods: Node-positive head and neck cancer patients underwent pretreatment QUS imaging of their metastatic lymph nodes. Imaging features were extracted using the QUS spectral form, and second-order texture parameters. Machine-learning classifiers were used for predictive modeling, which included a logistic regression, naive Bayes, and k-nearest neighbor classifiers. Results: There was a statistically significant difference in the pretreatment QUS-radiomic parameters between radiological complete responders versus partial responders (p < 0.05). The univariable model that demonstrated the greatest classification accuracy included: spectral intercept (SI)-contrast (area under the curve = 0.741). Multivariable models were also computed and showed that the SI-contrast + SI-homogeneity demonstrated an area under the curve = 0.870. The three-feature model demonstrated that the spectral slope-correlation + SI-contrast + SI-homogeneity-predicted response with accuracy of 87.5%. Conclusion: Multivariable QUS-radiomic features of metastatic lymph nodes can predict treatment response a priori.

The cytochrome P450 2D6 (CYP2D6) gene polymorphism among breast and head and neck cancer patients

2000 ◽  
Vol 296 (1-2) ◽  
pp. 101-109 ◽  
Author(s):  
Elizabeta Topić ◽  
Mario Štefanović ◽  
Ana Maria Ivanišević ◽  
Rajka Petrinović ◽  
Ivica Čurčić
Keyword(s):  
Cytochrome P450 ◽  
Head And Neck Cancer ◽  
Gene Polymorphism ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Cytochrome P450 2D6 ◽  
Cyp2d6 Gene ◽  
P450 2D6
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