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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 average 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
3212.9
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
11487.5
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
10041.0
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
9570.3
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
8824.1
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
8730.2
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
8575.7
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
8520.6
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
8422.4
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
8022.2
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
7375.8
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
7104.3
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
6524.7
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
6306.2
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
6291.2
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
6202.4
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
6181.3
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
6133.8
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
6093.4
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
5964.8
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
5820.4
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
5649.7
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
5574.1
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
5527.0
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
5448.0
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
5386.8
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
5313.5
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
5281.2
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
5241.3
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
5084.4
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
5027.3
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
5019.5
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
5000.9
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
5000.2
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
4940.3
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
4783.1
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
4700.9
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
4673.6
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
4658.5
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
4595.4
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
4575.9
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
4398.4
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
4348.8
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
4331.5
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
4331.4
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
4290.3
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
4119.7
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
4085.6
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
3998.0
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
3916.8
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
3881.1
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
3880.3
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
3861.1
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
3856.5
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
3748.1
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
3564.0
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
3525.3
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
3503.1
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
3468.5
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
3452.2
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
3448.6
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
3366.3
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
3332.0
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
3268.5
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
3261.4
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
3257.9
TCGA-CL-4957-01A
79 years, female, dead, 425 days
3183.6
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
3162.7
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
3149.7
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
3106.1
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
3077.3
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
2951.7
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
2895.6
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
2894.3
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
2850.8
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
2823.6
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
2821.0
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
2812.5
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
2761.3
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
2737.6
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
2720.7
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
2520.0
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
2500.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
2492.5
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
2484.5
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
2474.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
2470.8
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
2405.4
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
2366.8
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
2348.4
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
2319.4
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
2291.9
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
2252.4
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
2207.2
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
2167.4
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
2114.7
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
2110.3
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
2108.3
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
2018.4
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
2008.4
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
1945.1
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
1914.5
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
1903.1
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
1870.1
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
1849.8
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
1836.8
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
1827.6
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
1778.9
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
1778.2
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
1774.8
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
1707.8
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
1698.3
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
1667.7
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
1657.7
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
1617.1
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
1596.0
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
1594.7
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
1563.4
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
1542.3
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
1526.1
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
1486.3
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
1466.4
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
1433.2
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
1428.7
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
1422.0
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
1415.4
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
1382.2
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
1366.6
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
1353.4
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
1318.3
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
1283.8
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
1271.6
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
1234.4
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
1223.6
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
1210.1
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
1200.0
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
1161.8
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
1146.5
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
1097.4
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
1087.9
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
1067.7
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
1049.6
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
1005.2
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
951.8
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
942.4
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
904.9
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
839.5
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
825.5
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
802.8
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
722.8
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
721.7
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
716.4
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
691.8
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
684.1
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
674.1
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
558.1
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
388.8
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
385.9
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
354.6
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days