Analyse - WEseq Survival Result | CGGA - Chinese Glioma Genome Altas

Analyse result - WEseq data (survival)

Dataset:

WEseq_286

Gene:

Subtype:

Primary LGG

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CGGA.ID	PRS.type	Histology	Grade	Gender	Age	OS	Censor	Radio.status	Chemo.status	Gene
CGGA_528	Primary LGG	A	WHO II	Female	51	2424	1	1	0	
CGGA_579	Primary LGG	O	WHO II	Female	42	2125	1	1	0	
CGGA_653	Primary LGG	OA	WHO II	Male	33	3605	0	1	0	missense_variant
CGGA_715	Primary LGG	O	WHO II	Male	43	3429	0	1	0	missense_variant
CGGA_723	Primary LGG	AOA	WHO III	Female	25	4151	0	0	1	missense_variant
CGGA_726	Primary LGG	A	WHO II	Female	38	2942	1	1	0	
CGGA_755	Primary LGG	OA	WHO II	Male	45	4116	0	1	1	missense_variant
CGGA_762	Primary LGG	O	WHO II	Female	40	4105	0	1	0	missense_variant
CGGA_785	Primary LGG	O	WHO II	Male	43	3517	1	1	0	missense_variant
CGGA_835	Primary LGG	O	WHO II	Male	31	517	0	1	NA	missense_variant
CGGA_836	Primary LGG	OA	WHO II	Female	26	4012	0	1	0	missense_variant
CGGA_858	Primary LGG	O	WHO II	Male	42	3984	0	1	0	missense_variant
CGGA_864	Primary LGG	O	WHO II	Male	34	3977	0	0	0	missense_variant
CGGA_871	Primary LGG	O	WHO II	Male	37	3964	0	1	0	
CGGA_890	Primary LGG	AA	WHO III	Male	39	2982	1	1	0	missense_variant
CGGA_892	Primary LGG	O	WHO II	Male	34	448	0	1	NA	missense_variant
CGGA_893	Primary LGG	A	WHO II	Female	36	3160	1	1	0	missense_variant
CGGA_1217	Primary LGG	AA	WHO III	Male	47	3028	0	0	1	
CGGA_1222	Primary GBM	GBM	WHO IV	Male	54	339	1	1	0	
CGGA_1226	Primary LGG	A	WHO II	Female	33	670	1	1	1	
CGGA_1227	Recurrent GBM	rGBM	WHO IV	Female	46	1197	1	1	1	
CGGA_1231	Recurrent LGG	rAA	WHO III	Female	31	2279	1	1	1	
CGGA_1232	Primary LGG	AA	WHO III	Male	39	2067	1	1	1	
CGGA_1237	Primary GBM	GBM	WHO IV	Male	62	296	1	1	1	
CGGA_1242	Primary LGG	A	WHO II	Female	47	2997	0	1	1	
CGGA_1244	Recurrent GBM	rGBM	WHO IV	Male	42	276	1	0	1	
CGGA_1250	Primary LGG	AOA	WHO III	Male	51	2070	0	1	1	missense_variant
CGGA_1251	Primary GBM	GBM	WHO IV	Female	42	272	1	1	1	
CGGA_1254	Recurrent GBM	rGBM	WHO IV	Female	20	459	1	0	1	
CGGA_1255	Recurrent GBM	rGBM	WHO IV	Male	49	118	1	1	1	
CGGA_1256	Primary GBM	GBM	WHO IV	Female	52	2557	0	1	1	
CGGA_1257	Recurrent GBM	rGBM	WHO IV	Male	59	192	1	1	1	
CGGA_1259	Primary LGG	A	WHO II	Female	43	2937	0	1	1	
CGGA_1260	Recurrent GBM	rGBM	WHO IV	Male	32	177	1	1	1	
CGGA_1261	Primary GBM	GBM	WHO IV	Male	41	159	1	1	1	missense_variant
CGGA_1263	Primary LGG	AA	WHO III	Male	50	772	1	1	0	
CGGA_1266	Recurrent GBM	rGBM	WHO IV	Male	22	1101	1	1	1	
CGGA_1274	Recurrent GBM	rGBM	WHO IV	Female	41	730	1	1	1	
CGGA_1277	Primary GBM	GBM	WHO IV	Female	33	101	1	1	1	
CGGA_1279	Primary GBM	GBM	WHO IV	Male	56	513	1	1	1	
CGGA_1282	Primary GBM	GBM	WHO IV	Female	33	1116	1	1	1	
CGGA_1287	Primary GBM	GBM	WHO IV	Male	29	533	1	1	1	missense_variant
CGGA_1288	Primary GBM	GBM	WHO IV	Male	35	2422	0	1	1	missense_variant
CGGA_1294	Recurrent LGG	rAA	WHO III	Male	45	1285	1	1	1	
CGGA_1295	Recurrent LGG	rAA	WHO III	Male	40	310	1	1	1	
CGGA_1303	Primary LGG	AOA	WHO III	Female	45	2861	0	1	1	missense_variant
CGGA_1305	Primary LGG	AA	WHO III	Male	43	2702	1	1	1	
CGGA_1306	Recurrent LGG	rA	WHO II	Male	48	781	1	1	1	
CGGA_1307	Primary LGG	AA	WHO III	Female	25	965	0	1	1	missense_variant
CGGA_1314	Primary GBM	GBM	WHO IV	Female	27	172	1	0	0	missense_variant
CGGA_1317	Primary LGG	OA	WHO II	Male	45	2864	0	0	0	missense_variant
CGGA_1318	Primary LGG	A	WHO II	Male	39	1497	0	1	0	missense_variant
CGGA_1322	Primary LGG	AA	WHO III	Male	10	253	1	1	1	missense_variant
CGGA_1325	Recurrent GBM	rGBM	WHO IV	Male	20	NA	NA	0	0	
CGGA_1328	Primary GBM	GBM	WHO IV	Female	48	2852	0	1	1	
CGGA_1329	Recurrent LGG	rAA	WHO III	Female	43	326	1	1	1	
CGGA_1330	Primary LGG	A	WHO II	Male	47	2846	0	1	1	
CGGA_1338	Primary GBM	GBM	WHO IV	Female	61	1122	1	1	1	
CGGA_1339	Primary LGG	O	WHO II	Male	41	2832	0	0	1	missense_variant
CGGA_1340	Primary LGG	AA	WHO III	Male	35	1109	1	1	1	
CGGA_1343	Recurrent GBM	rGBM	WHO IV	Male	34	94	1	1	1	
CGGA_1350	Primary LGG	O	WHO II	Male	36	2819	0	0	0	missense_variant
CGGA_1351	Recurrent LGG	rAA	WHO III	Female	22	NA	NA	1	1	
CGGA_1358	Primary LGG	AA	WHO III	Female	33	2809	0	0	0	
CGGA_1361	Primary LGG	O	WHO II	Male	40	2804	0	1	1	missense_variant
CGGA_1362	Primary LGG	AA	WHO III	Female	64	2804	0	1	1	
CGGA_1364	Primary LGG	AOA	WHO III	Female	45	1530	1	1	1	missense_variant
CGGA_1365	Primary GBM	GBM	WHO IV	Male	55	253	1	1	1	
CGGA_1368	Primary LGG	O	WHO II	Male	49	2797	0	1	0	missense_variant
CGGA_1373	Primary LGG	A	WHO II	Female	34	2787	0	1	0	
CGGA_1374	Recurrent LGG	rAA	WHO III	Male	22	141	1	1	0	
CGGA_1377	Primary LGG	AA	WHO III	Male	28	2780	0	1	1	missense_variant
CGGA_1378	Primary GBM	GBM	WHO IV	Male	47	378	1	1	1	
CGGA_1381	Recurrent GBM	rGBM	WHO IV	Female	36	46	1	1	1	
CGGA_1382	Primary GBM	GBM	WHO IV	Male	57	284	1	1	1	
CGGA_1383	Recurrent LGG	rAA	WHO III	Female	47	884	0	1	0	
CGGA_1384	Primary GBM	GBM	WHO IV	Female	39	191	1	1	1	missense_variant
CGGA_1388	Recurrent LGG	rAA	WHO III	Male	37	485	1	1	1	
CGGA_1394	Recurrent GBM	rGBM	WHO IV	Male	37	139	1	1	1	missense_variant
CGGA_1406	Primary LGG	A	WHO II	Male	34	2154	1	1	1	
CGGA_1408	Primary LGG	AA	WHO III	Female	64	1362	1	1	1	
CGGA_1409	Primary GBM	GBM	WHO IV	Female	24	2727	0	0	1	
CGGA_1411	Recurrent LGG	rAA	WHO III	Female	40	329	1	1	1	
CGGA_1413	Primary LGG	AO	WHO III	Male	35	2720	0	1	1	missense_variant
CGGA_1415	Recurrent GBM	rGBM	WHO IV	Female	30	2719	0	1	1	
CGGA_1417	Primary LGG	AO	WHO III	Male	56	2713	0	1	1	missense_variant
CGGA_1418	Primary GBM	GBM	WHO IV	Female	73	287	1	1	1	
CGGA_1422	Primary GBM	GBM	WHO IV	Male	76	204	1	1	1	
CGGA_1424	Primary LGG	AO	WHO III	Female	41	2692	0	1	1	missense_variant
CGGA_1429	Recurrent GBM	rGBM	WHO IV	Female	40	2685	0	1	1	missense_variant
CGGA_1445	Recurrent LGG	rAA	WHO III	Male	37	2664	0	0	1	
CGGA_1446	Primary LGG	OA	WHO II	Male	29	2664	0	0	1	missense_variant
CGGA_1455	Primary LGG	O	WHO II	Male	40	2655	0	0	0	missense_variant
CGGA_1463	Primary LGG	O	WHO II	Female	69	2633	0	1	0	missense_variant
CGGA_1467	Primary GBM	GBM	WHO IV	Male	58	866	1	1	0	missense_variant
CGGA_1474	Primary LGG	AO	WHO III	Female	50	333	0	1	1	missense_variant
CGGA_1481	Primary GBM	GBM	WHO IV	Male	55	131	1	0	0	
CGGA_1486	Primary GBM	GBM	WHO IV	Male	45	184	1	1	1	
CGGA_1494	Primary GBM	GBM	WHO IV	Male	21	269	1	1	1	
CGGA_1497	Primary LGG	AA	WHO III	Female	24	1178	1	1	1	missense_variant
CGGA_1498	Primary GBM	GBM	WHO IV	Male	69	NA	NA	NA	NA	
CGGA_1503	Primary GBM	GBM	WHO IV	Male	47	777	1	1	1	
CGGA_1514	Primary LGG	A	WHO II	Female	57	76	1	0	0	
CGGA_1521	Primary GBM	GBM	WHO IV	Female	63	205	1	1	1	
CGGA_1592	Recurrent LGG	rAO	WHO III	Male	37	1588	1	1	1	missense_variant
CGGA_1635	Primary GBM	GBM	WHO IV	Female	43	332	1	1	1	
CGGA_1639	Primary LGG	A	WHO II	Male	61	2266	0	1	0	
CGGA_1645	Primary LGG	AA	WHO III	Male	59	1996	0	1	1	missense_variant
CGGA_1650	Primary GBM	GBM	WHO IV	Male	36	1283	1	1	1	
CGGA_1656	Recurrent GBM	rGBM	WHO IV	Male	56	149	1	0	1	
CGGA_1667	Primary LGG	AO	WHO III	Female	40	2180	0	1	1	missense_variant
CGGA_1699	Primary GBM	GBM	WHO IV	Female	41	2088	0	0	1	missense_variant
CGGA_1720	Primary LGG	A	WHO II	Male	35	1994	0	1	1	missense_variant
CGGA_1722	Primary GBM	GBM	WHO IV	Female	60	349	1	1	1	
CGGA_1780	Primary GBM	GBM	WHO IV	Female	57	1826	0	0	1	
CGGA_1807	Primary GBM	GBM	WHO IV	Female	65	247	1	NA	NA	
CGGA_1809	Primary LGG	AO	WHO III	Male	27	343	1	1	1	
CGGA_1812	Primary GBM	GBM	WHO IV	Male	65	780	1	NA	NA	
CGGA_1814	Recurrent GBM	rGBM	WHO IV	Female	46	221	1	1	1	
CGGA_1826	Primary GBM	GBM	WHO IV	Female	70	44	1	0	0	
CGGA_1829	Primary LGG	A	WHO II	Male	23	801	0	0	0	
CGGA_1833	Primary GBM	GBM	WHO IV	Female	60	494	1	1	1	
CGGA_1840	Primary GBM	GBM	WHO IV	Female	58	1179	0	1	1	
CGGA_1850	Primary LGG	A	WHO II	Male	29	750	0	0	1	missense_variant
CGGA_1862	Primary LGG	AA	WHO III	Male	40	110	1	1	1	
CGGA_1901	Primary GBM	GBM	WHO IV	Male	60	540	1	1	1	
CGGA_1906	Recurrent LGG	rAA	WHO III	Male	57	1054	1	0	1	missense_variant
CGGA_1972	Recurrent GBM	rGBM	WHO IV	Male	47	1291	0	1	1	
CGGA_1985	Recurrent GBM	rGBM	WHO IV	Male	41	380	1	NA	NA	missense_variant
CGGA_1994	Recurrent LGG	rAO	WHO III	Female	32	1237	0	1	1	
CGGA_2002	Recurrent LGG	rA	WHO II	Male	40	572	1	1	1	missense_variant
CGGA_2003	Recurrent GBM	rGBM	WHO IV	Male	40	780	1	1	1	
CGGA_2006	Recurrent LGG	rAA	WHO III	Male	43	626	1	1	1	missense_variant
CGGA_2008	Recurrent GBM	rGBM	WHO IV	Male	56	44	1	1	NA	
CGGA_2013	Recurrent LGG	rA	WHO II	Male	41	139	1	1	NA	missense_variant
CGGA_2024	Recurrent GBM	rGBM	WHO IV	Female	19	328	1	1	NA	
CGGA_2038	Recurrent GBM	rGBM	WHO IV	Male	44	NA	1	1	1	missense_variant
CGGA_2046	Recurrent LGG	rAA	WHO III	Male	46	251	1	1	1	missense_variant
CGGA_2047	Recurrent GBM	rGBM	WHO IV	Female	64	598	1	1	1	
CGGA_2053	Recurrent GBM	rGBM	WHO IV	Male	55	1031	0	1	1	
CGGA_2062	Recurrent GBM	rGBM	WHO IV	Female	63	41	1	1	1	missense_variant
CGGA_2075	Recurrent GBM	rGBM	WHO IV	Male	63	266	1	1	1	
CGGA_2088	Recurrent GBM	rGBM	WHO IV	Female	30	NA	NA	1	1	
CGGA_2099	Recurrent GBM	rGBM	WHO IV	Female	40	929	0	0	1	
CGGA_2106	Recurrent GBM	rGBM	WHO IV	Female	39	892	0	1	1	missense_variant
CGGA_2115	Recurrent GBM	rGBM	WHO IV	Female	31	171	1	1	1	
CGGA_2129	Recurrent LGG	rAA	WHO III	Male	48	828	0	1	0	missense_variant
CGGA_D12	Primary LGG	A	WHO II	Female	28	NA	NA	1	0	
CGGA_D14	Recurrent LGG	rAA	WHO III	Male	27	NA	NA	NA	NA	missense_variant
CGGA_D20	Primary LGG	A	WHO II	Female	40	2367	1	0	0	
CGGA_D21	Primary LGG	AA	WHO III	Female	37	1208	1	1	0	
CGGA_D22	Primary LGG	OA	WHO II	Male	24	1082	1	1	0	missense_variant
CGGA_D24	Primary LGG	AA	WHO III	Female	37	837	1	1	0	
CGGA_D25	Primary LGG	AA	WHO III	Male	44	NA	NA	NA	NA	missense_variant
CGGA_D27	Recurrent LGG	rAO	WHO III	Male	33	3650	0	1	1	
CGGA_D28	Primary LGG	AA	WHO III	Male	25	860	1	1	0	
CGGA_D31	Primary LGG	A	WHO II	Male	28	NA	NA	NA	NA	
CGGA_D33	Recurrent LGG	rAA	WHO III	Male	38	116	1	0	0	missense_variant
CGGA_D39	Recurrent LGG	rA	WHO II	Female	27	NA	NA	NA	NA	
CGGA_D45	Recurrent LGG	rAA	WHO III	Male	32	856	0	1	1	
CGGA_D46	Recurrent LGG	rAA	WHO III	Female	36	300	1	0	1	
CGGA_D47	Primary LGG	O	WHO II	Male	36	1048	1	1	1	missense_variant
CGGA_D48	Recurrent LGG	rAA	WHO III	Female	23	221	1	1	1	missense_variant
CGGA_D50	Recurrent LGG	rO	WHO II	Male	30	782	1	0	0	missense_variant
CGGA_D51	Recurrent GBM	rGBM	WHO IV	Female	60	135	1	0	0	
CGGA_J100	Recurrent GBM	rGBM	WHO IV	Male	55	NA	NA	NA	NA	
CGGA_J105	Primary GBM	GBM	WHO IV	Male	30	3190	0	1	1	
CGGA_J112	Primary LGG	OA	WHO II	Male	25	2762	0	1	1	missense_variant
CGGA_J114	Primary LGG	AA	WHO III	Male	38	3172	0	1	1	
CGGA_J127	Primary LGG	AOA	WHO III	Male	35	872	1	1	0	missense_variant
CGGA_J130	Recurrent LGG	rA	WHO II	Male	40	3116	0	1	1	
CGGA_J18	Primary GBM	GBM	WHO IV	Female	38	369	1	1	0	missense_variant
CGGA_J24	Recurrent LGG	rA	WHO II	Female	29	3410	0	0	0	
CGGA_J26	Primary LGG	AOA	WHO III	Female	42	1966	0	1	1	missense_variant
CGGA_J30	Primary LGG	OA	WHO II	Male	38	3389	0	1	0	missense_variant
CGGA_J35	Primary GBM	GBM	WHO IV	Male	53	2767	0	1	1	
CGGA_J36	Primary GBM	GBM	WHO IV	Male	54	873	1	1	0	
CGGA_J41	Primary LGG	A	WHO II	Male	44	3367	0	1	0	
CGGA_J42	Recurrent LGG	rA	WHO II	Male	38	1409	1	0	0	
CGGA_J43	Primary LGG	A	WHO II	Male	26	3361	0	1	0	
CGGA_J47	Primary LGG	AA	WHO III	Female	48	3351	0	1	1	
CGGA_J8	Primary LGG	A	WHO II	Male	45	271	1	1	1	
CGGA_P100	Primary GBM	GBM	WHO IV	Male	67	268	1	NA	NA	
CGGA_P102	Primary GBM	GBM	WHO IV	Male	30	1269	1	1	1	missense_variant
CGGA_P103	Primary LGG	O	WHO II	Male	34	1651	0	1	0	missense_variant
CGGA_P104	Recurrent LGG	rAOA	WHO III	Female	36	167	1	1	1	missense_variant
CGGA_P107	Primary LGG	A	WHO II	Male	26	NA	NA	NA	NA	missense_variant
CGGA_P108	Primary LGG	AA	WHO III	Female	30	1644	0	1	1	
CGGA_P110	Primary LGG	AO	WHO III	Female	56	800	1	1	1	
CGGA_P111	Primary LGG	O	WHO II	Female	44	1638	0	0	0	missense_variant
CGGA_P112	Primary GBM	GBM	WHO IV	Male	65	834	1	1	1	
CGGA_P113	Primary LGG	A	WHO II	Male	32	1708	0	1	0	
CGGA_P114	Primary LGG	O	WHO II	Male	32	NA	1	1	NA	missense_variant
CGGA_P115	Primary LGG	A	WHO II	Male	25	1626	0	1	0	
CGGA_P116	Primary GBM	GBM	WHO IV	Male	58	305	1	1	NA	
CGGA_P117	Primary LGG	AA	WHO III	Male	24	NA	NA	NA	NA	
CGGA_P118	Primary LGG	OA	WHO II	Female	43	1622	0	1	0	missense_variant
CGGA_P121	Primary LGG	A	WHO II	Male	39	1608	0	1	0	
CGGA_P122	Recurrent LGG	rO	WHO II	Male	43	1638	0	1	0	missense_variant
CGGA_P128	Primary LGG	A	WHO II	Male	41	1586	0	1	0	missense_variant
CGGA_P131	Primary LGG	AO	WHO III	Female	45	1596	0	1	1	missense_variant
CGGA_P132	Primary LGG	O	WHO II	Male	42	1603	0	1	0	missense_variant
CGGA_P137	Primary LGG	A	WHO II	Male	42	1526	0	0	0	missense_variant
CGGA_P142	Primary LGG	AO	WHO III	Male	45	1558	0	1	1	missense_variant
CGGA_P143	Primary GBM	GBM	WHO IV	Female	66	261	1	1	1	
CGGA_P144	Primary LGG	AA	WHO III	Male	44	1559	0	1	1	missense_variant
CGGA_P147	Primary LGG	A	WHO II	Male	52	863	1	1	0	missense_variant
CGGA_P150	Primary LGG	A	WHO II	Male	34	NA	0	1	0	missense_variant
CGGA_P151	Primary LGG	A	WHO II	Female	46	1582	0	1	1	missense_variant
CGGA_P153	Primary LGG	A	WHO II	Male	45	1484	0	1	1	missense_variant
CGGA_P155	Primary LGG	A	WHO II	Male	50	1483	0	1	1	
CGGA_P156	Primary LGG	O	WHO II	Male	30	1488	0	0	0	missense_variant
CGGA_P157	Primary LGG	AA	WHO III	Female	55	470	1	1	1	
CGGA_P158	Primary LGG	OA	WHO II	Male	27	1510	0	1	1	missense_variant
CGGA_P159	Primary LGG	AA	WHO III	Male	59	211	1	0	0	
CGGA_P160	Primary GBM	GBM	WHO IV	Female	72	219	1	1	1	
CGGA_P163	Recurrent LGG	rAO	WHO III	Female	45	855	1	1	1	missense_variant
CGGA_P164	Primary GBM	GBM	WHO IV	Male	27	1553	0	1	1	
CGGA_P165	Primary LGG	AOA	WHO III	Female	51	598	1	1	1	missense_variant
CGGA_P167	Primary LGG	AOA	WHO III	Male	59	1540	0	1	0	missense_variant
CGGA_P172	Primary LGG	AA	WHO III	Male	33	1049	1	1	1	missense_variant
CGGA_P173	Primary LGG	A	WHO II	Male	31	1448	0	1	0	missense_variant
CGGA_P174	Primary LGG	O	WHO II	Male	31	1482	0	1	1	missense_variant
CGGA_P175	Recurrent GBM	rGBM	WHO IV	Male	45	183	1	1	1	
CGGA_P176	Primary LGG	O	WHO II	Female	32	804	0	1	0	missense_variant
CGGA_P177	Primary LGG	A	WHO II	Male	43	1442	0	1	1	
CGGA_P178	Primary GBM	GBM	WHO IV	Female	52	1442	0	1	1	
CGGA_P179	Primary LGG	A	WHO II	Female	53	1454	0	1	1	missense_variant
CGGA_P180	Primary GBM	GBM	WHO IV	Male	47	260	1	1	1	synonymous_variant
CGGA_P181	Primary LGG	AA	WHO III	Female	21	238	1	NA	NA	
CGGA_P182	Recurrent GBM	rGBM	WHO IV	Female	58	1512	0	1	1	
CGGA_P183	Primary LGG	AO	WHO III	Male	58	1512	0	1	1	missense_variant
CGGA_P185	Recurrent LGG	rAA	WHO III	Female	41	502	1	1	1	missense_variant
CGGA_P197	Primary LGG	A	WHO II	Male	37	1414	0	1	0	missense_variant
CGGA_P198	Recurrent LGG	rA	WHO II	Female	46	1414	0	1	1	
CGGA_P205	Primary GBM	GBM	WHO IV	Male	66	583	1	1	1	
CGGA_P265	Primary LGG	AA	WHO III	Male	36	779	1	1	1	
CGGA_P266	Primary LGG	AA	WHO III	Female	28	253	1	1	1	
CGGA_P270	Recurrent LGG	rA	WHO II	Male	33	NA	1	1	1	missense_variant
CGGA_P271	Primary LGG	A	WHO II	Male	42	1376	0	1	0	missense_variant
CGGA_P335	Recurrent GBM	rGBM	WHO IV	Male	42	1203	0	1	1	missense_variant
CGGA_P337	Recurrent LGG	rAO	WHO III	Female	61	689	1	1	1	missense_variant
CGGA_P388	Recurrent LGG	rAA	WHO III	Female	37	293	1	1	1	missense_variant
CGGA_P392	Recurrent LGG	rA	WHO II	Male	35	1099	0	1	1	missense_variant
CGGA_P401	Recurrent GBM	rGBM	WHO IV	Male	31	788	1	1	NA	missense_variant
CGGA_P411	Recurrent GBM	rGBM	WHO IV	Female	47	440	1	1	1	missense_variant
CGGA_P415	Recurrent GBM	rGBM	WHO IV	Female	56	195	1	1	1	
CGGA_P416	Recurrent LGG	rAO	WHO III	Male	29	1069	0	1	1	missense_variant
CGGA_P421	Recurrent LGG	rAA	WHO III	Male	26	308	1	1	1	missense_variant
CGGA_P422	Primary LGG	O	WHO II	Female	41	1091	0	1	0	missense_variant
CGGA_P437	Primary LGG	AO	WHO III	Female	47	1023	0	0	1	
CGGA_P438	Recurrent LGG	rAO	WHO III	Male	41	1023	0	1	1	missense_variant
CGGA_P439	Recurrent LGG	rA	WHO II	Male	45	1022	0	1	1	missense_variant
CGGA_P446	Recurrent LGG	rAO	WHO III	Female	47	1009	0	1	1	missense_variant
CGGA_P461	Recurrent LGG	rAA	WHO III	Male	28	599	1	1	1	missense_variant
CGGA_P468	Primary LGG	AO	WHO III	Female	42	974	0	1	1	missense_variant
CGGA_P483	Recurrent LGG	rAA	WHO III	Male	41	299	1	1	1	
CGGA_P492	Recurrent LGG	rO	WHO II	Female	44	938	0	0	1	missense_variant
CGGA_P499	Recurrent GBM	rGBM	WHO IV	Female	69	NA	NA	1	NA	
CGGA_P500	Recurrent LGG	rO	WHO II	Female	34	930	0	1	0	missense_variant
CGGA_P501	Recurrent LGG	rA	WHO II	Male	27	926	0	1	1	missense_variant
CGGA_P505	Recurrent LGG	rA	WHO II	Male	34	924	0	1	0	missense_variant
CGGA_P508	Recurrent LGG	rAA	WHO III	Male	40	377	1	1	1	missense_variant
CGGA_P510	Recurrent LGG	rAO	WHO III	Male	42	912	0	1	1	
CGGA_P512	Recurrent GBM	rGBM	WHO IV	Male	23	541	1	1	1	
CGGA_P520	Recurrent LGG	rAO	WHO III	Female	44	884	0	1	1	missense_variant
CGGA_P568	Recurrent LGG	rAO	WHO III	Female	23	218	1	1	1	missense_variant
CGGA_P585	Recurrent GBM	rGBM	WHO IV	Male	50	344	1	1	1	
CGGA_P594	Recurrent LGG	rAA	WHO III	Male	40	84	1	1	1	
CGGA_P596	Recurrent GBM	rGBM	WHO IV	Female	60	777	0	1	1	
CGGA_P604	Recurrent LGG	rAA	WHO III	Female	15	262	1	1	1	
CGGA_P609	Primary GBM	GBM	WHO IV	Female	19	726	0	1	1	
CGGA_P610	Recurrent GBM	rGBM	WHO IV	Male	62	345	1	1	1	
CGGA_P615	Recurrent LGG	rO	WHO II	Male	40	NA	NA	NA	NA	missense_variant
CGGA_P619	Recurrent GBM	rGBM	WHO IV	Female	66	236	1	1	1	
CGGA_P623	Primary LGG	AA	WHO III	Male	52	NA	NA	NA	NA	missense_variant
CGGA_P625	Recurrent GBM	rGBM	WHO IV	Female	46	161	1	NA	NA	missense_variant
CGGA_P633	Recurrent LGG	rAA	WHO III	Female	40	676	0	1	1	missense_variant
CGGA_P83	Primary LGG	A	WHO II	Female	28	1698	0	1	1	missense_variant
CGGA_P84	Primary LGG	A	WHO II	Female	40	1694	0	1	0	missense_variant
CGGA_P86	Primary LGG	O	WHO II	Female	34	1694	0	1	0	missense_variant
CGGA_P87	Recurrent GBM	rGBM	WHO IV	Male	32	240	1	1	1	missense_variant
CGGA_P89	Recurrent GBM	rGBM	WHO IV	Male	42	294	1	1	1	
CGGA_P90	Primary GBM	GBM	WHO IV	Female	52	861	1	1	1	
CGGA_P95	Primary LGG	A	WHO II	Female	44	NA	0	0	0	missense_variant
CGGA_P99	Recurrent GBM	rGBM	WHO IV	Male	52	679	0	1	1	missense_variant

data.file<-"data.txt"
gene<-"IDH1"
Plot_Type<-"Primary LGG"

library(survminer)
library(survival)
library(ggpubr)
library(gridExtra)

## import data
dat<-read.table(data.file,sep='\t', head=T)
rownames(dat)<-dat$CGGA.ID

#head(dat)
if(Plot_Type=="All"){
  mat<-dat[!is.na(dat$PRS.type)&
             !is.na(dat$Grade)&
             !is.na(dat$OS)&
             !is.na(dat$Censor),]
}else{
  mat<-dat[!is.na(dat$PRS.type)&(dat$PRS.type==Plot_Type)&
             !is.na(dat$Grade)&
             !is.na(dat$OS)&
             !is.na(dat$Censor),]
}

mat$Gene<-ifelse(mat$Gene=="","Wildtype","Mutation")

### all grade ###
s.fit<-survfit(Surv(OS, Censor) ~ Gene, data = mat)
s.diff<-survdiff(Surv(OS, Censor) ~ Gene, data = mat)

sdata.plot1<-ggsurvplot(s.fit,
                        data=mat,
                        pval = TRUE,
                        xlab = 'Time (day)',
                        ggtheme = theme_light(),
                        surv.median.line = 'hv',
                        title=paste0("The survival (",Plot_Type,")"))

###output###
splots <- list()
splots[[1]]<-sdata.plot1
arrange_ggsurvplots(splots,nrow = 1,ncol = 1)

Analyse result - WEseq data (survival)

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