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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
4309.9
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
22346.7
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
22031.6
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
14448.0
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
13578.9
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
13036.3
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
11755.9
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
11666.1
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
11179.3
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
11158.5
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
10915.8
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
10648.2
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
9995.9
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
9390.7
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
8681.9
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
8630.1
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
8140.1
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
7399.3
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
6882.3
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
6797.0
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
6733.0
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
6573.7
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
6569.5
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
6489.5
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
6428.1
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
6329.9
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
6312.7
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
6052.0
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
6006.3
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
5972.9
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
5954.2
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
5911.2
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
5826.5
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
5643.0
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
5639.9
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
5627.4
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
5578.2
TCGA-CL-4957-01A
79 years, female, dead, 425 days
5378.4
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
5378.0
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
5371.2
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
5271.8
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
5194.4
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
5135.1
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
5009.1
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
4707.6
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
4705.9
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
4698.5
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
4695.1
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
4644.6
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
4625.7
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
4618.0
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
4592.1
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
4558.6
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
4521.6
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
4502.8
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
4470.2
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
4379.8
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
4299.2
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
4205.4
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
4198.0
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
4187.1
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
4174.8
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
4170.2
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
4145.1
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
4130.2
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
4114.7
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
4098.2
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
4066.3
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
4034.5
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
4003.4
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
4000.8
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
3954.6
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
3904.1
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
3878.1
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
3871.8
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
3862.6
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
3846.9
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
3831.8
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
3715.5
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
3642.3
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
3635.5
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
3625.7
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
3456.8
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
3432.1
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
3393.7
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
3388.5
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
3354.5
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
3270.8
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
3250.3
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
3238.3
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
3202.4
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
3193.4
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
3069.2
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
3059.2
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
2995.4
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
2968.2
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
2956.3
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
2931.9
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
2928.9
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
2896.9
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
2838.0
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
2819.0
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
2800.9
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
2798.5
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
2689.0
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
2673.8
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
2659.7
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
2641.8
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
2622.3
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
2604.7
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
2558.0
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
2531.4
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
2466.9
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
2456.4
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
2428.8
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
2400.8
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
2371.8
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
2329.5
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
2311.7
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
2309.3
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
2301.3
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
2291.7
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
2281.3
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
2206.0
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
2075.7
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
2006.1
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
2000.5
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
1997.7
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
1985.9
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
1926.3
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
1850.3
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
1801.3
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
1735.9
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
1666.7
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
1660.6
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
1525.6
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
1506.0
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
1469.7
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
1425.2
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
1411.8
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
1411.4
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
1397.3
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
1396.4
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
1388.8
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
1386.7
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
1348.2
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
1339.6
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
1302.8
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
1263.1
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
1200.4
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
1117.4
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
1088.6
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
1039.1
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
858.6
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
730.5
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
729.6
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
722.5
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
643.0
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days