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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
4740.5
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
27439.7
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
17204.0
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
16396.3
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
13598.9
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
13573.1
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
12244.9
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
11995.3
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
11677.3
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
11353.7
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
10596.3
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
10575.7
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
10435.0
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
10120.2
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
9760.4
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
9632.3
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
9388.0
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
9174.7
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
9132.7
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
8562.4
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
8261.5
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
8219.7
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
7964.6
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
7950.2
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
7901.8
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
7877.2
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
7530.0
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
7522.2
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
7415.7
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
7291.1
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
7240.7
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
7198.7
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
7189.0
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
7055.2
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
6931.0
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
6683.9
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
6667.3
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
6519.0
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
6274.2
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
6073.1
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
6062.4
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
5956.9
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
5948.7
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
5733.2
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
5649.2
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
5645.6
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
5622.0
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
5579.0
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
5461.1
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
5315.6
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
5294.5
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
5290.5
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
5234.0
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
5076.9
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
4917.2
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
4850.9
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
4780.9
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
4540.5
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
4515.0
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
4348.0
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
4329.8
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
4315.9
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
4252.1
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
4214.6
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
4176.0
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
4143.6
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
3960.7
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
3957.3
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
3938.0
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
3918.6
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
3916.9
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
3899.0
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
3886.9
TCGA-CL-4957-01A
79 years, female, dead, 425 days
3872.3
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
3851.2
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
3799.3
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
3792.4
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
3663.6
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
3633.3
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
3620.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
3552.2
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
3509.6
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
3508.0
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
3495.2
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
3494.3
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
3451.0
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
3447.1
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
3443.7
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
3414.4
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
3352.9
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
3308.1
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
3295.7
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
3291.2
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
3283.3
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
3218.5
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
3195.2
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
3183.3
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
3179.1
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
3144.4
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
3041.2
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
3022.8
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
2985.5
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
2980.8
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
2957.3
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
2933.3
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
2927.3
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
2912.4
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
2891.3
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
2854.9
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
2837.8
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
2834.2
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
2806.7
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
2770.3
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
2767.2
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
2747.7
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
2722.6
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
2639.3
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
2627.2
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
2610.6
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
2553.4
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
2550.8
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
2491.5
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
2458.9
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
2397.8
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
2372.6
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
2310.0
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
2261.6
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
2243.2
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
2205.0
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
2193.6
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
2184.9
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
2157.7
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
2140.4
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
2079.1
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
2063.5
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
2055.9
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
1986.9
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
1920.8
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
1885.9
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
1857.3
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
1847.5
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
1799.9
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
1646.6
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
1632.4
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
1549.9
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
1503.3
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
1466.3
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
1451.1
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
1162.9
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
1098.8
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
1094.2
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
1010.9
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
982.2
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
968.7
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
895.7
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
708.6
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days