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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
9358.2
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
46110.3
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
31162.3
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
26363.6
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
26352.6
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
20261.6
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
19827.1
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
19592.8
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
19563.2
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
19170.2
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
17268.8
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
17034.6
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
16976.6
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
16451.3
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
16296.1
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
16042.6
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
15412.4
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
14828.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
14269.2
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
14175.9
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
14068.6
TCGA-CL-4957-01A
79 years, female, dead, 425 days
14031.0
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
14026.9
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
13969.6
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
13913.9
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
13912.1
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
13685.7
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
13530.9
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
13508.1
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
13435.7
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
13431.8
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
13160.3
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
12641.1
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
12586.4
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
12516.2
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
12514.5
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
12140.8
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
12108.1
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
12075.0
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
11683.2
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
11553.4
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
11530.7
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
11272.3
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
11144.2
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
11131.5
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
11111.7
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
10966.4
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
10943.8
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
10937.3
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
10936.5
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
10697.2
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
10694.2
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
10682.4
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
10285.6
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
10087.7
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
10051.2
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
9992.6
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
9847.1
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
9835.4
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
9819.9
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
9791.9
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
9529.5
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
9451.3
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
9359.8
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
9329.6
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
9240.3
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
9096.9
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
9080.7
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
8993.5
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
8979.6
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
8953.5
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
8933.5
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
8893.0
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
8809.2
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
8738.6
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
8714.3
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
8629.7
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
8602.6
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
8485.2
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
8412.4
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
8395.1
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
8236.9
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
8130.8
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
8080.6
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
7983.7
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
7957.1
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
7915.0
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
7894.3
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
7883.2
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
7710.9
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
7681.8
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
7599.7
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
7508.5
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
7405.7
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
7257.3
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
7197.6
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
7187.4
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
7088.8
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
7065.4
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
7048.0
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
6832.1
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
6724.2
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
6703.5
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
6679.0
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
6678.6
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
6624.0
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
6598.0
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
6584.7
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
6575.0
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
6540.6
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
6481.9
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
6427.0
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
6401.4
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
6353.8
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
6337.5
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
6088.5
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
5982.4
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
5980.8
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
5879.2
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
5822.5
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
5744.5
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
5714.0
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
5602.6
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
5568.1
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
5461.0
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
5340.9
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
5196.6
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
5189.4
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
5125.1
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
5114.7
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
5049.5
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
5014.0
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
4999.8
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
4999.0
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
4720.0
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
4719.5
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
4681.9
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
4591.5
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
4443.3
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
4358.7
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
4273.5
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
4139.5
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
4087.9
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
3971.8
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
3793.1
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
3698.4
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
3277.0
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
3221.9
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
3165.9
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
3123.5
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
2968.0
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
2828.1
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
2776.8
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
2719.6
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
2709.7
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
2544.5
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
2408.4
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days