Identifying Biological Subtypes of Head and Neck Squamous Cell Carcinoma (HNSCC) From Contrast Enhanced CT Scans Using Radiomic and the Cancer Genome Atlas (TCGA)

2018 ◽  
Vol 102 (3) ◽  
pp. S60-S61 ◽  
Author(s):  
E. Katsoulakis ◽  
J.H. Oh ◽  
J.E. Leeman ◽  
Y. Yu ◽  
C.J. Tsai ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
The Cancer Genome Atlas ◽  
Ct Scans ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct ◽  
Cancer Genome Atlas ◽  
Genome Atlas

scholarly journals Interrater Reliability of NI-RADS on Posttreatment PET/Contrast-enhanced CT Scans in Head and Neck Squamous Cell Carcinoma

2021 ◽  
Vol 3 (3) ◽  
pp. e200131
Author(s):  
Derek Hsu ◽  
Tanya J. Rath ◽  
Barton F. Branstetter ◽  
Yoshimi Anzai ◽  
C. Douglas Phillips ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Interrater Reliability ◽  
Neck Squamous Cell Carcinoma ◽  
Ct Scans ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct

The prognostic value of faciogenital dysplasias as biomarkers in head and neck squamous cell carcinoma

2019 ◽  
Vol 13 (16) ◽  
pp. 1399-1415 ◽  
Author(s):  
Chao Ma ◽  
Haoyu Li ◽  
Xian Li ◽  
Shuwen Lu ◽  
Jianfeng He
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Prognostic Value ◽  
The Cancer Genome Atlas ◽  
Gene Expressions ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Aim: This present study aims to investigate the prognostic value of FGD genes for predicting the overall survival in head and neck squamous cell carcinoma (HNSC) patients. Materials & methods: Clinical information and FGD gene expressions of 513 HNSC patients were obtained from The Cancer Genome Atlas dataset. Kaplan–Meier survival, Pearson correlation coefficient analyses and enrichment analyses were performed based on The Cancer Genome Atlas dataset, as well as FGD gene expressions analysis in normal tissues. Results: The survival analyses showed that high levels of FGD2 and FGD3 mRNA expressions, and the combination of high levels of FGD2 and FGD3 mRNAs were associated with the favorable overall survival in HNSC patients (p < 0.01). Oppositely, no significant correlations (p > 0.05) were observed between gender and race and OS. Conclusion: Our findings suggest that the expression levels of FGD2 and FGD3 mRNAs in HNSC are associated with favorable prognosis and may be regarded as potential prognostic biomarkers.

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