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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red. The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The interactive Survival Scatter plot allows for the cutoff to be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Survival analysis". Under the Survival Scatter plot the p-score landscape is shown together with the difference in median between survival time for patients who have died with respect to high and low expression. This is intended to aid the user in exploring custom cutoffs.
Individual patient data is displayed in an interactive plot and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off).
Based on the FPKM value of each gene, we classified the patients into two groups and examined their prognoses. In the analysis, we excluded genes with low expression, i.e., those with a median expression among samples less than FPKM 1. The prognosis of each group of patients was examined by Kaplan-Meier survival estimators, and the survival outcomes of the two groups were compared by log-rank tests. To choose the best FPKM cut-offs for grouping the patients most significantly, all FPKM values from the 20th to 80th percentiles were used to group the patients, significant differences in the survival outcomes of the groups were examined and the value yielding the lowest log-rank P value is selected.
: 1558.79
Median expression: N/A
Median follow up time: N/A P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A 5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A 5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as median FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average FPKM
1546.9
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
3918.1
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
3838.5
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
3620.8
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
3327.3
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
3238.8
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
3130.1
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
2806.2
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
2759.4
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
2601.0
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
2555.6
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
2516.1
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
2494.7
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
2480.5
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
2469.2
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
2444.9
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
2436.2
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
2362.6
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
2354.9
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
2340.7
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
2314.1
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
2243.9
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
2200.8
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
2184.6
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
2103.8
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
2092.8
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
2005.5
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
1991.3
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
1968.6
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
1954.3
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
1936.7
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
1922.0
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
1919.8
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
1910.0
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
1872.1
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
1864.4
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
1851.5
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
1825.5
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
1820.6
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
1811.6
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
1796.3
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
1775.3
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
1768.5
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
1761.4
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
1751.7
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
1742.6
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
1731.4
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
1729.7
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
1714.1
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
1707.7
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
1692.6
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
1689.4
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
1687.0
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
1675.1
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
1652.6
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
1640.1
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
1606.6
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
1590.0
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
1577.9
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
1561.2
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
1556.4
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
1551.5
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
1547.7
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
1544.6
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
1533.5
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
1530.4
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
1525.6
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
1523.2
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
1510.5
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
1494.5
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
1486.6
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
1483.1
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
1478.1
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
1477.8
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
1468.9
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
1467.7
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
1453.8
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
1449.5
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
1447.1
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
1445.7
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
1445.2
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
1437.0
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
1419.4
TCGA-CL-4957-01A
79 years, female, dead, 425 days
1414.6
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
1405.5
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
1403.0
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
1399.6
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
1385.9
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
1380.9
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
1372.4
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
1368.2
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
1367.7
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
1337.6
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
1334.9
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
1332.4
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
1325.5
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
1318.7
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
1317.7
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
1309.3
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
1293.7
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
1290.3
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
1280.0
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
1279.5
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
1270.4
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
1257.2
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
1250.3
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
1249.5
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
1234.1
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
1213.5
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
1205.4
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
1199.6
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
1182.1
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
1174.6
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
1157.0
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
1151.0
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
1147.5
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
1129.8
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
1127.4
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
1126.2
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
1120.7
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
1117.7
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
1112.9
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
1109.9
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
1108.6
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
1105.8
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
1104.8
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
1103.4
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
1089.6
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
1066.8
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
1047.8
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
1047.7
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
1035.2
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
1033.5
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
1019.1
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
1016.8
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
1015.1
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
1010.5
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
989.6
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
988.1
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
976.4
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
962.6
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
951.0
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
935.7
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
932.5
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
931.2
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
919.9
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
899.7
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
896.3
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
885.1
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
866.6
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
858.1
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
856.0
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
846.0
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
835.8
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
775.5
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
681.8
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
643.4
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
560.6
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
The Human Protein Atlas project is funded
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