Table 2. Definition of CSCC prognosis by multivativariate analyses.
A. Logistic regression models of prognosis | |||||
---|---|---|---|---|---|
Variables | OR | CI 95% | P value | ||
Local Recurrence | Perineural infiltration | 17.445 | 1.662–183.359 | 0.017 | |
Nodal Progression | Grade of differentiation | 7.909 | 1.912–32.717 | 0.004 | |
Events of Poor Clinical Evolution | miR-205 expression | 6.552 | 1.332–32.232 | 0.021 | |
B. Clusters of prognosis identified by logistic biplot | |||||
Cluster 1 N=25(31.6%) |
Cluster 2 N=31 (39.2%) |
Cluster 3 N=23 (29.1%) |
P value | ||
Events of Poor Clinical Evolution | 1 (4%) | 3 (9.7%) | 8 (34.8%) | 0.007 | |
miRNAs expression |
miRNA-203 | 15 (60%) | 11 (35.5%) | 3 (13%) | 0.007 |
miRNA-205 | 3 (12%) | 15 (48.4%) | 21 (91.3%) | 0.0001 | |
Pathological Tumour Traits |
Infiltrative Growth Pattern | 12 (48%) | 4 (12.9%) | 22 (95.7%) | 0.002 |
Poor Grade of Differentiation |
2 (8%) | 25 (80.6%) | 13 (56.5%) | 0.043 | |
Perineural Infiltration | 1 (4%) | 0 | 13(56.5%) | 0.0001 | |
Desmoplasia | 1 (4%) | 0 | 13(56.5%) | 0.0001 |