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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
3019.7
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
8072.4
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
7789.9
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
7612.6
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
5797.3
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
5704.1
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
5591.1
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
5588.2
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
5492.7
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
5262.7
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
5204.5
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
5145.8
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
5003.3
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
4982.5
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
4968.3
TCGA-CL-4957-01A
79 years, female, dead, 425 days
4854.7
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
4739.8
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
4592.1
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
4419.1
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
4418.1
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
4358.9
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
4244.9
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
4213.9
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
4179.4
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
4142.4
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
4098.6
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
4082.7
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
4056.6
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
4044.5
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
3999.1
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
3997.4
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
3955.6
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
3945.3
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
3931.1
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
3882.6
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
3872.6
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
3759.7
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
3749.7
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
3745.8
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
3738.4
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
3723.9
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
3636.6
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
3599.0
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
3572.4
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
3503.7
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
3403.9
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
3401.0
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
3389.0
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
3348.2
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
3335.0
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
3333.0
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
3327.0
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
3301.5
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
3299.0
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
3298.0
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
3279.9
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
3256.2
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
3237.0
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
3228.2
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
3183.3
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
3149.2
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
3117.7
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
3097.6
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
3095.9
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
3090.6
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
3077.9
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
3066.1
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
3040.8
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
3036.2
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
3025.4
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
3021.4
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
3011.8
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
2949.6
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
2934.0
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
2931.9
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
2905.0
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
2876.3
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
2866.9
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
2863.3
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
2848.6
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
2786.5
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
2755.4
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
2755.2
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
2751.7
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
2749.0
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
2746.9
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
2726.3
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
2705.9
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
2686.5
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
2668.7
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
2663.8
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
2597.8
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
2584.9
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
2563.0
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
2554.5
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
2537.9
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
2530.7
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
2518.0
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
2442.4
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
2438.9
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
2424.6
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
2422.2
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
2415.3
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
2395.9
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
2380.9
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
2337.8
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
2296.2
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
2278.6
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
2277.1
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
2271.6
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
2249.1
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
2222.6
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
2222.2
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
2214.3
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
2210.5
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
2180.4
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
2178.8
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
2169.6
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
2132.0
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
2131.6
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
2060.6
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
2046.6
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
2042.0
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
2039.6
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
2018.2
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
2011.8
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
1988.2
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
1987.3
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
1972.1
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
1966.9
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
1958.2
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
1956.4
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
1899.6
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
1891.3
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
1881.5
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
1869.4
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
1854.4
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
1852.9
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
1816.6
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
1803.7
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
1783.8
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
1777.2
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
1774.8
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
1755.0
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
1723.3
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
1702.9
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
1701.0
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
1699.3
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
1695.1
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
1661.1
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
1586.3
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
1561.1
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
1506.7
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
1475.6
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
1438.5
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
1134.5
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
1122.4
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
1116.4
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days