Table 2. Definition of CSCC prognosis by multivativariate analyses.
A) Pathological features of CSCC associated with a poor clinical evolution obtained by logistic regression. B) Characteristics of the three clusters of CSCCs identified by the logistic biplot. The table shows the number and percentage of tumours within each cluster that showed the characteristics indicated.
| 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 | |