For robust big data analyses: a collection of 150 important pro-metastatic genes

Mei, Yan; Yang, Jun-Ping; Qian, Chao-Nan

doi:10.1186/s40880-016-0178-z

Cancer Communications

Table 1 The list of 150 pro-metastatic genes with clinical relevance and key references

From: For robust big data analyses: a collection of 150 important pro-metastatic genes

Number	Gene name	Clinical relevance validation (P value of overall survival analysis)		Reference
Number	Gene name	ccRCC cohort	HCC cohort	Reference
1	ADAM9	NS	0.001	[10]
2	ADORA2B	0.006	NS	[11]
3	AGR2	<0.001	NS	[12]
4	AKT1	NS	NS	[13]
5	ANXA1	NS	NS	[14]
6	APOBEC3G	0.045	NS	[15]
7	ATF4	0.001	0.031	[16]
8	AXL	0.005	NS	[17]
9	BACH1	NS	NS	[18]
10	BCL2L1	NS	NS	[19]
11	BCL3	<0.001	NS	[20]
12	BIRC5	<0.001	<0.001	[21]
13	BSG	NS	0.004	[22]
14	C5AR1	NS	NS	[23]
15	CAV1	NS	NS	[24]
16	CCL2	NS	NS	[25]
17	CCR7	NS	0.002	[26]
18	CD24	NS	NS	[27]
19	CD44	0.016	NS	[28]
20	CDCP1	NS	NS	[29]
21	CEACAM6	0.004	NS	[30]
22	CEBPD	0.022	NS	[31]
23	CENPF	<0.001	0.008	[32]
24	CHD1L	<0.001	0.007	[33]
25	CHI3L1	NS	NS	[34]
26	CLDN9	0.039	NS	[35]
27	COL6A1	<0.001	NS	[36]
28	COMP	0.040	NS	[37]
29	CSNK2A2	NS	NS	[38]
30	CTSB	NS	NS	[38]
31	CTSZ	<0.001	NS	[39]
32	CXCL1	<0.001	0.001	[40]
33	CXCL10	NS	NS	[41]
34	CXCL8	0.002	<0.001	[42]
35	CXCR4	NS	NS	[43]
36	E2F1	0.001	0.005	[44]
37	EIF5A	<0.001	NS	[45]
38	ELF5	NS	NS	[46]
39	ENAH	NS	0.012	[47]
40	ENPP2	NS	NS	[48]
41	ETV4	0.003	0.001	[49]
42	EZH2	<0.001	<0.001	[50]
43	FGFR1	NS	NS	[51]
44	FLOT2	NS	NS	[52]
45	FOSL1	<0.001	NS	[53]
46	FOXC1	NS	NS	[54]
47	FOXM1	<0.001	0.009	[55]
48	FOXQ1	NS	NS	[56]
49	FZD2	<0.001	NS	[57]
50	GABRA3	NS	0.004	[58]
51	GDF15	NS	NS	[59]
52	GHRL	<0.001	NS	[60]
53	GLI2	<0.001	NS	[61]
54	GOLM1	NS	0.049	[62]
55	GRK3	NS	NS	[63]
56	HMGB1	NS	NS	[64]
57	HMMR	0.003	<0.001	[65]
58	HOXB13	<0.001	NS	[66]
59	HOXB7	NS	NS	[67]
60	HOXB9	<0.001	NS	[68]
61	ID1	NS	NS	[69]
62	IDO1	NS	NS	[70]
63	IGFBP2	NS	NS	[71]
64	IL32	NS	NS	[72]
65	IL5	NS	NS	[73]
66	IL6	<0.001	NS	[74]
67	IP6K2	0.001	NS	[75]
68	ITGA3	NS	NS	[76]
69	ITGA5	0.018	0.011	[77]
70	ITGBL1	NS	NS	[78]
71	KISS1R	NS	NS	[79]
72	KLF8	NS	NS	[80]
73	L1CAM	0.007	NS	[81]
74	LAMB3	0.001	NS	[67]
75	LEF1	0.007	NS	[82]
76	LGALS1	<0.001	0.048	[83]
77	LGALS3	NS	NS	[84]
78	LOX	NS	0.047	[85]
79	LOXL2	0.033	NS	[86]
80	MBD4	NS	NS	[87]
81	MCAM	NS	NS	[88]
82	MET	NS	NS	[89]
83	MMP1	0.030	0.002	[90]
84	MMP16	NS	NS	[91]
85	MMP9	0.001	0.009	[92]
86	MTA1	0.015	NS	[93]
87	MTA2	0.001	NS	[94]
88	MYB	0.031	0.021	[95]
89	NFATC2	NS	NS	[96]
90	NRP2	NS	NS	[97]
91	NTRK3	NS	0.044	[98]
92	PARP1	NS	NS	[99]
93	PCDH7	NS	NS	[100]
94	PDGFRB	NS	NS	[101]
95	PDPN	0.034	NS	[102]
96	PELP1	0.011	NS	[103]
97	PHGDH	NS	NS	[104]
98	PHIP	NS	NS	[105]
99	PLAUR	<0.001	NS	[35]
100	PLOD2	0.004	0.008	[106]
101	POSTN	NS	NS	[107]
102	PPIA	0.015	0.038	[108]
103	PRRX1	0.045	NS	[109]
104	PRSS50	<0.001	NS	[89]
105	PTGS2	0.040	NS	[110]
106	PTTG1	<0.001	0.004	[111]
107	PXN	0.001	NS	[112]
108	RAB22A	0.024	NS	[113]
109	RAC1	NS	NS	[97]
110	RAF1	0.025	NS	[23]
111	RHOC	0.030	NS	[114]
112	ROR2	0.001	NS	[115]
113	RRAS	<0.001	NS	[116]
114	RUNX3	NS	0.032	[117]
115	S100A4	NS	NS	[118]
116	S100P	NS	NS	[119]
117	SEMA3E	<0.001	NS	[120]
118	SFRP2	0.020	NS	[121]
119	SIX2	0.001	0.036	[122]
120	SNAI1	0.045	NS	[123]
121	SNAI2	NS	NS	[124]
122	SOX12	<0.001	0.045	[125]
123	SOX4	NS	0.018	[126]
124	SPINK1	<0.001	NS	[127]
125	SPON2	<0.001	NS	[128]
126	SPP1	NS	0.000	[129]
127	SRC	<0.001	0.037	[130]
128	SRGN	NS	NS	[131]
129	SRPK1	NS	NS	[132]
130	TACSTD2	NS	NS	[133]
131	TDO2	0.020	NS	[134]
132	TF	<0.001	NS	[135]
133	TGFB1	0.008	NS	[73]
134	TGM2	0.003	NS	[136]
135	TNC	NS	NS	[137]
136	TNFSF10	NS	NS	[138]
137	TNK2	0.016	NS	[139]
138	TP73	0.016	NS	[140]
139	TPO	0.043	NS	[141]
140	TRIM28	NS	0.00	[142]
141	TWIST1	0.002	NS	[143]
142	UBE2 N	NS	NS	[144]
143	VAV1	0.038	NS	[145]
144	VEGFB	NS	NS	[146]
145	VIM	0.014	NS	[147]
146	WASF3	NS	NS	[148]
147	WNT5A	0.008	NS	[149]
148	WSB1	<0.001	NS	[150]
149	YBX1	0.038	<0.001	[151]
150	ZEB2	NS	NS	[152]

NS not significant

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