Table 2.
p53γ expression abolishes the association of p53 mutation status with poor prognosis
| p53γ - cohort | ||||
|---|---|---|---|---|
| Response variable | Predictor variables | β | P | OR (95% CI) |
| Overall survival | p53m | -2.70 | 0.002 | 0.07 (0.01 to 0.37) |
| Cancer recurrence | p53m | 2.77 | 0.001 | 0.06 (0.01 to 0.34) |
| p53γ+ cohort | ||||
| Overall survival | Nothing associated | |||
| Cancer recurrence | Nothing associated |
Variables were analysed using binary logistic regression analysis utilising the backwards stepwise elimination method. Lymph node status, tumour grade, p53 mutation status (p53m), p53β, p53γ, human epidermal growth factor receptor 2 (HER2 or ErbB2), oestrogen receptor (ER) and progesterone receptor (PR) expression were included in the analyses as predictor variables. All independent significant associations between the predictor and response variables were identified (results of run 1). Dependent associations (results of runs 2, 3, 4, and so on) are omitted. Only results related to p53 and clinical outcomes are presented. Results related to ER/PR, tumour grade and lymph node status are presented in Table S4 in Additional file 1. The β coefficient and the odds ratio (OR) with 95% confidence intervals (95% CI) are indicated.