Table 3 Top 15 pathways, their corresponding number of genes and miRNAs, observed to be affected by the main CNAs, in the two groups of breast cancer patients analyzed (presented by the number of affected miRNAs).

From: Frequency of the TP53 R337H variant in sporadic breast cancer and its impact on genomic instability

R337H+ breast cancer patient

KEGG pathway

#MiRNAs

#Genes

P value

Pathways in cancer

82

318

8.80E−04

Proteoglycans in cancer

79

171

1.24E−02

Hippo signaling pathway

77

125

1.57E−06

Focal adhesion

76

175

5.28E−05

Signaling pathways regulating pluripotency of stem cells

76

122

6.29E−03

Oxytocin signaling pathway

72

132

6.95E−06

Axon guidance

72

111

6.29E−03

TGF-beta signaling pathway

67

70

5.28E−05

ErbB signaling pathway

66

79

2.55E−05

Renal cell carcinoma

65

62

2.47E−04

Pancreatic cancer

62

59

4.95E−06

Glioma

62

57

1.57E−06

ECM-receptor interaction

62

70

6.29E−03

Colorectal cancer

60

57

4.51E−06

Long-term depression

60

51

2.08E−03

p53 signaling pathway

55

60

2.56E−02

R337H− breast cancer patient

KEGG pathway

#MiRNAs

#Genes

P value

Proteoglycans in cancer

10

65

1.74E−03

Hippo signaling pathway

10

44

4.30E−03

Ras signaling pathway

10

69

6.19E−03

Signaling pathways regulating pluripotency of stem cells

10

40

5.23E−02

Pathways in cancer

10

97

8.69E−02

Axon guidance

10

38

1.84E−01

Focal adhesion

10

59

1.84E−01

Thyroid hormone signaling pathway

10

31

1.84E−01

ErbB signaling pathway

9

34

6.29E−06

Regulation of actin cytoskeleton

9

64

5.23E−02

Amphetamine addiction

9

21

4.30E−03

Glioma

8

26

5.13E−06

Lysine degradation

8

16

6.29E−06

Renal cell carcinoma

7

24

7.33E−02

Synaptic vesicle cycle

6

18

2.27E−01

  1. KEGG, Kyoto Encyclopedia of Genes and Genomes; ECM, Extracellular Matrix.