Table 1.

The Cancer Genome Atlas consortium data on the incidence of genetic alterations^a in microRNA machinery genes^b and driver genes^c, by cancer type.

Gene symbol	Breast invasive carcinoma (n = 463)		Colon and rectum adenocarcinoma (n = 195)		Bladder urothelial carcinoma (n = 125)		Prostate adenocarcinoma (n = 82)
	n	%	n	%	n	%	n	%
AGO2	108	23.3	24	12.3	26	20.8	17	20.7
APC	40	8.6	153	78.5	10	8	6	7.3
CCND1	99	21.4	9	4.6	21	17	0	0
CCNE1	42	9.1	11	5.6	29	23.2	8	9.8
CDKN2A	61	13.2	14	7.2	56	44.8	6	7.3
CHD1	30	6.5	15	7.7	12	9.6	11	13.4
CTCF	41	8.9	17	8.7	11	8.8	7	8.5
DEFB135	15	3.2	6	3.1	12	9.6	8	9.8
DGCR8	23	5	9	4.6	13	10.4	2	2.4
Dicer1	32	6.9	14	7.2	15	12	3	3.7
DNASE1	31	6.7	6	3	8	6.4	4	4.9
Drosha	9	1.9	29	14.9	42	33.6	6	7.3
EGFR	30	6.5	23	11.8	25	20	4	4.9
ERCC3	33	7.1	20	10	18	14.4	8	9.8
FRG1	41	8.9	10	5	6	4.8	9	11
GATA3	96	20.7	13	6.7	21	16.8	4	4.9
HIST1H2BA	24	5.2	5	2.6	6	4.8	2	2.4
KMT2C	64	13.8	22	11.3	33	26.4	11	13.4
KRAS	33	7.1	84	43.1	15	12	10	12.2
KRTAP6-2	1	0.2	3	1.5	4	3.2	0	0
LURAP1L	6	1.3	14	7.2	9	7.2	13	15.9
MAP3K1	65	14	10	5.1	14	11.2	7	8.5
MUC4	40	8.6	12	6.2	19	15	20	24.4
NKX3-1	12	2.6	2	1	19	15	20	24.4
OR2M4	26	5.6	9	4.6	6	4.8	6	7
OR51V1	6	1.3	7	3.6	1	0.8	1	1.2
OR6N1	56	12.1	9	4.6	16	12.8	4	4.9
PIK3R1	36	7.8	16	8.2	7	5.6	11	13.4
PPARG	20	4.3	9	4.6	26	20.8	6	7.3
PTEN	54	11.7	20	10.3	13	10.4	30	36.6
SOX4	40	8.6	9	4.6	31	24.8	7	8.5
RB1	51	11	20	10.3	32	25.6	17	20.7
TERC	11	2.4	14	7.2	8	6.4	9	11
TP53	186	40.2	108	55.4	70	56	18	22
TPX2	25	5.4	71	36.4	24	19.2	10	12.2
TRBP	40	8.6	16	8.2	9	7.2	1	1.2
XPO5	46	9.9	21	10.8	20	16	7	8.5
ZNF285	4	0.9	7	4	18	14.4	6	7.3

^aGenetic alterations comprise of mutations and/or CNV and/or mRNA expression deregulation.

^bmiRNA machinery genes are in bold font.

^cDriver genes are those with the highest incidence of alterations in a given dataset.