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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
3161.0
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
10698.6
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
8719.8
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
8159.6
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
8095.6
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
8039.1
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
7809.8
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
7749.7
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
7729.5
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
7516.2
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
7291.9
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
6275.6
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
6089.9
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
5940.6
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
5924.3
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
5766.7
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
5664.2
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
5583.2
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
5511.9
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
5430.4
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
5400.2
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
5274.8
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
5120.7
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
5016.5
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
4999.5
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
4846.2
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
4845.3
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
4781.2
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
4723.8
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
4680.5
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
4673.0
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
4569.1
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
4519.7
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
4289.6
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
4231.1
TCGA-CL-4957-01A
79 years, female, dead, 425 days
4224.5
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
4152.1
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
4130.8
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
4086.9
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
3922.2
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
3898.3
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
3892.8
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
3858.8
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
3831.4
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
3792.9
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
3758.0
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
3755.0
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
3724.6
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
3721.4
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
3694.8
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
3670.3
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
3638.2
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
3630.2
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
3621.0
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
3612.3
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
3508.2
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
3502.2
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
3478.5
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
3450.4
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
3425.2
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
3398.6
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
3354.3
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
3345.9
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
3248.4
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
3247.9
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
3170.2
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
3150.0
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
3145.4
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
3095.6
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
3093.2
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
3064.7
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
3029.8
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
3014.4
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
3004.8
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
2977.0
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
2974.0
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
2947.9
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
2938.7
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
2928.4
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
2921.3
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
2916.5
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
2862.8
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
2828.5
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
2810.0
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
2799.8
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
2703.1
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
2685.3
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
2682.0
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
2673.4
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
2576.4
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
2568.1
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
2532.3
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
2528.1
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
2521.5
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
2510.1
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
2498.5
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
2495.0
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
2493.5
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
2445.6
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
2440.3
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
2416.6
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
2410.2
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
2351.4
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
2344.6
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
2311.2
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
2307.6
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
2303.8
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
2293.7
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
2265.6
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
2264.6
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
2232.0
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
2223.1
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
2183.4
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
2152.5
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
2140.3
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
2138.2
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
2130.9
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
2123.4
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
2008.0
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
2006.3
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
1956.5
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
1940.1
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
1915.2
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
1872.8
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
1849.6
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
1844.1
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
1711.7
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
1684.1
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
1666.0
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
1652.8
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
1623.6
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
1572.0
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
1555.4
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
1544.1
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
1534.0
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
1428.8
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
1289.6
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
1242.2
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
1142.9
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
1038.0
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
971.3
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
890.3
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
830.9
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
738.8
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
704.8
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
693.9
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
663.3
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
643.4
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
642.4
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
619.3
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
603.8
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
588.7
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
532.0
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
437.1
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
434.2
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
414.3
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
358.7
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
256.4
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
239.8
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days