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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
636.8
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
3145.9
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
2536.7
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
2534.3
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
2530.1
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
2517.0
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
2514.8
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
2368.3
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
2278.4
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
1924.7
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
1855.4
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
1664.6
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
1625.5
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
1612.6
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
1599.7
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
1549.7
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
1541.6
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
1523.5
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
1507.1
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
1490.5
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
1464.3
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
1443.7
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
1406.0
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
1399.7
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
1391.9
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
1357.3
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
1356.1
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
1315.7
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
1306.9
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
1271.9
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
1265.4
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
1260.9
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
1229.5
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
1207.4
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
1199.9
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
1176.1
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
1153.8
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
1150.5
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
1138.8
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
1131.5
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
1090.1
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
1077.7
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
1046.2
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
1044.9
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
1044.9
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
1030.6
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
1013.4
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
992.2
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
975.4
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
966.1
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
931.3
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
856.8
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
847.9
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
828.8
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
810.6
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
781.3
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
761.0
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
761.0
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
731.1
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
694.1
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
652.6
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
628.0
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
621.8
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
615.5
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
584.4
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
567.3
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
555.2
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
554.3
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
547.9
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
542.3
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
532.8
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
524.7
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
515.6
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
512.9
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
496.5
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
479.8
TCGA-CL-4957-01A
79 years, female, dead, 425 days
448.5
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
446.6
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
443.0
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
429.7
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
406.7
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
398.7
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
398.7
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
387.4
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
369.2
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
359.9
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
348.7
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
308.9
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
289.7
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
284.6
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
255.2
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
240.4
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
231.4
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
230.7
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
217.4
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
214.8
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
213.1
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
208.6
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
198.5
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
190.3
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
184.3
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
170.7
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
160.1
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
153.3
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
150.6
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
145.8
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
144.9
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
133.6
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
133.3
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
121.9
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
111.3
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
87.7
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
83.5
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
71.8
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
70.5
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
68.2
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
66.3
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
63.5
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
60.8
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
50.8
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
43.4
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
41.8
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
38.7
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
36.5
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
26.0
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
21.7
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
18.8
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
16.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
12.8
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
10.0
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
7.2
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
6.0
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
5.5
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
5.5
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
4.3
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
4.1
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
3.4
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
3.4
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
3.3
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
3.1
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
2.7
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
2.3
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
2.3
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
2.0
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
1.9
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
1.5
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
1.4
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
1.4
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
1.4
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
1.3
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
1.2
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
1.1
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
1.0
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
0.9
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
0.7
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
0.5
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
0.4
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
0.3
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
0.2
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
The Human Protein Atlas project is funded
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