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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 cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed 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). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
: Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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
5216.7
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
44155.9
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
24126.8
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
23464.1
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
18142.3
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
15778.5
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
14501.4
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
13810.0
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
13219.5
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
13141.8
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
11991.8
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
11910.8
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
11321.2
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
10748.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
10337.0
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
10310.8
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
10251.6
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
10154.9
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
10149.9
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
9934.0
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
9319.1
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
8822.4
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
8637.8
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
8104.0
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
7675.3
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
7644.1
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
7354.5
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
7126.9
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
7059.9
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
6367.6
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
6183.2
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
6175.7
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
6058.2
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
5904.5
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
5856.2
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
5800.6
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
5783.0
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
5752.0
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
5740.5
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
5724.5
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
5708.4
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
5674.7
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
5652.8
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
5618.3
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
5579.0
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
5575.4
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
5571.8
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
5569.3
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
5551.9
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
5509.5
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
5483.0
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
5438.6
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
5378.6
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
5318.3
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
5297.2
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
5238.2
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
5188.0
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
5144.5
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
5075.2
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
5056.8
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
5051.0
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
4980.9
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
4957.8
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
4934.4
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
4886.0
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
4848.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
4799.7
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
4732.5
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
4712.8
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
4606.1
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
4582.5
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
4506.7
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
4454.2
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
4305.0
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
4242.8
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
4221.6
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
4097.5
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
4024.9
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
3997.3
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
3990.5
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
3944.1
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
3908.0
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
3879.9
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
3863.1
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
3787.9
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
3779.8
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
3773.1
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
3772.2
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
3759.5
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
3754.4
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
3750.5
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
3666.6
TCGA-CL-4957-01A
79 years, female, dead, 425 days
3655.4
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
3644.9
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
3642.9
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
3544.8
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
3525.5
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
3508.2
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
3492.6
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
3430.4
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
3426.7
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
3416.4
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
3415.7
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
3408.4
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
3408.3
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
3406.9
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
3373.8
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
3300.9
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
3281.9
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
3159.3
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
3041.0
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
3011.6
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
2908.6
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
2887.4
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
2768.9
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
2720.0
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
2594.9
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
2593.2
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
2542.4
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
2530.8
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
2530.7
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
2451.9
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
2405.8
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
2399.7
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
2327.3
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
2318.2
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
2297.4
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
2296.2
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
2283.6
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
2248.6
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
2226.2
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
2206.8
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
2192.4
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
2143.9
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
2089.5
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
2085.2
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
1989.1
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
1967.4
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
1955.4
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
1840.3
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
1821.3
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
1777.7
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
1773.7
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
1743.0
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
1652.9
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
1651.0
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
1640.7
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
1553.8
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
1512.9
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
1398.7
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
1325.0
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
1313.4
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
1129.5
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
1096.4
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
992.8
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
979.9
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days