Skip to main content
. Author manuscript; available in PMC: 2020 Jun 23.
Published in final edited form as: Clin Cancer Res. 2017 Feb 7;23(14):3769–3780. doi: 10.1158/1078-0432.CCR-16-2814

FIGURE 1. Identification of miR-1, −133a, −150 and −9 potential targets in HNSCC.

FIGURE 1.

A/B. ROC curve predicting recurrence formation, using miR-9, 133a and −150 data iteration, applying the Naïve Bayes (A) or the Logistic Regression (B) models. The AUC is 81.3% (Sensitivity 87% and Specificity 75%) in A and 80.3% (Sensitivity 82% and Specificity 71%) in B.

C. Kaplan-Mayer curve evaluating progression free survival of HNSCC patients clustered based on the expression of miR-1, −9, −133a and 150.

D. Venn Diagram showing the number of miR-1, −133a and −150 common potential targets, among the EMT genes, altered in HNSCC.

E. Visualization of miR-1, 133a and −150 and SP1 network in HNSCC. Direct interactions are shown by edges. Red-border triangles identify genes upregulated in recurrent HNSCC and black-border triangles identify genes upregulated in HNSCC primary tumors

F. List of miR-1, 133a and −150 targets belonging to the TGFβ and WNT pathways.

G. Venn Diagram showing the number of miR-9 potential targets, among the anti-EMT genes and among the genes altered in HNSCC.