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Table 2 The independent association between age at diagnosis and somatic mutations

From: Genomic aberrations in young and elderly  breast cancer patients

 

Young age

Intermediate age

Older age

Logistic model

FDR

(≤45 years, n = 118)

(46–69 years, n = 449)

(≥70 years, n = 155)

(P value)a

Mutations independently associated with young age at diagnosis

GATA3

18 (15.2 %)

37 (8.2 %)

14 (9 %)

0.003

0.033

Mutations independently associated with older age at diagnosis

TTN

16 (13.5 %)

68 (15.1 %)

45 (29 %)

0.0003

0.01

KMT2D

1 (0.8 %)

9 (2 %)

9 (5.8 %)

0.0003

0.01

CSPP1

0

3 (0.6 %)

8 (5.1 %)

0.0002

0.01

FOXA1

1 (0.8 %)

6 (1.3 %)

9 (5.8 %)

0.0009

0.013

XIST

0

6 (1.3 %)

9 (5.8 %)

0.0008

0.013

KMT2C

4 (3.3 %)

26 (5.7 %)

18 (11.6 %)

0.002

0.027

SYNE2

3 (2.5 %)

16 (3.5 %)

13 (8.3 %)

0.005

0.033

SPEN

2 (1.6 %)

13 (2.8 %)

12 (7.7 %)

0.005

0.033

USP34

1 (0.8 %)

12 (2.6 %)

9 (5.8 %)

0.004

0.033

ANK2

0

11 (2.4 %)

9 (5.8 %)

0.007

0.043

  1. aAnalysis adjusted for age, tumor size, nodal status, histology and breast cancer subtype. Only mutations with a minimum prevalence of 5 % in at least one age group is included. FDR, false discovery rate