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Table 2 Multivariable analysis of the variables associated with MET alterations*

From: MET alterations detected in blood-derived circulating tumor DNA correlate with bone metastases and poor prognosis

 

MET wild type, N = 407

MET altered, N = 31

Univariable

Multivariable

Characteristics

  

Wald

Odds ratio (CI 95%)

P value

Wald

Odds ratio (CI 95%)

P value

Type of cancer

 Brain (n = 109)**

107 (26.3%)

2 (6.5%)

4.94

0.19 (0.05–0.83)

0.026**

 Lung (n = 102)

90 (22.1%)

12 (38.7%)

4.26

2.22 (1.04–4.76)

0.039

Presence of metastasis or recurrence at the time of blood draw (n = 312)

284 (69.8%)

28 (90.3%)

5.13

4.0 (1.2–14.3)

0.024

Genetic alteration type

TP53 (n = 149)

129 (31.7%)

20 (64.5%)

12.2

3.85 (1.82–8.33)

< 0.001

10.9

3.7 (1.7–8.3)

0.001

EGFR (n = 53)

43 (10.6%)

10 (32.4%)

11.2

4.0 (1.79–9.1)

0.001

PIK3CA (n = 42)

35 (8.6%)

7 (22.6%)

5.93

3.1 (1.25–7.7)

0.015

BRAF (n = 27)

22 (5.4%)

5 (16.1%)

5.14

3.3 (1.2–10.0)

0.023

ARID1A (n = 19)

15 (3.7%)

4 (12.9%)

5.14

3.85 (1.2–12.5)

0.023

ALK (n = 14)

11 (2.7%)

3 (9.7%)

3.94

3.85 (1.02–14.3)

0.047

PTEN (n = 9)

6 (1.5%)

3 (9.7%)

7.72

7.1 (1.7–33.3)

0.007

9.12

11.1 (2.3–50.0)

0.003

Metastatic sites

 Lymph node (n = 139)

123 (30.2%)

16 (51.6%)

5.77

2.4 (1.2–5.3)

0.016

 Bone (n = 102)

88 (21.6%)

14 (45.2%)

8.26

2.9 (1.4–6.3)

0.004

7.34

2.9 (1.35–6.25)

0.007

 No metastases (n = 147)**

145 (35.6%)

2 (6.5%)

7.96

0.13 (0.03–0.5)

0.005**

  1. The Wald statistics test the unique contribution of each variable; the higher the Wald statistics, the higher the association/contribution in the model
  2. *Only variables that were significant in the univariable models (logistic regression) were included in the multivariable analysis, with the final model containing only significant covariates in the multivariable analyses (forward stepwise selection model)
  3. **“Brain tumors” and “no metastases” were negatively associated with MET alterations in univariate analysis. These variables were not significant in the final multivariate analysis model