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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
1519.7
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
6299.2
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
4800.6
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
3786.4
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
3776.8
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
3431.5
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
3381.0
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
3192.7
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
3183.7
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
3168.3
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
2995.1
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
2967.6
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
2904.5
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
2684.8
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
2505.7
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
2489.4
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
2464.2
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
2462.8
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
2458.4
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
2392.1
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
2372.9
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
2301.4
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
2259.7
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
2210.6
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
2207.7
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
2174.4
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
2164.8
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
2162.5
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
2148.0
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
2109.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
2097.5
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
2070.8
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
2023.9
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
2009.3
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
2003.6
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
1983.9
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
1910.8
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
1876.6
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
1853.2
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
1843.4
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
1838.6
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
1837.5
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
1829.6
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
1807.4
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
1766.4
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
1756.6
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
1751.4
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
1695.2
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
1673.2
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
1660.1
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
1653.4
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
1643.9
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
1621.5
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
1605.5
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
1595.9
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
1588.0
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
1581.1
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
1544.1
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
1539.9
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
1539.2
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
1524.9
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
1511.8
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
1504.0
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
1497.6
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
1484.4
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
1470.4
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
1468.7
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
1435.1
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
1426.0
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
1422.2
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
1409.7
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
1406.7
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
1405.9
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
1395.9
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
1376.8
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
1369.0
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
1361.5
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
1358.7
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
1329.1
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
1317.4
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
1313.7
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
1293.9
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
1290.7
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
1284.4
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
1282.6
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
1280.4
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
1265.1
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
1259.7
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
1246.0
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
1244.0
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
1242.1
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
1230.7
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
1229.9
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
1208.6
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
1183.0
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
1182.3
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
1151.9
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
1146.8
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
1139.7
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
1109.1
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
1106.4
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
1084.3
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
1081.7
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
1073.6
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
1068.5
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
1042.8
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
1039.5
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
1033.6
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
1027.4
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
1025.3
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
1019.9
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
1011.2
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
1006.9
TCGA-CL-4957-01A
79 years, female, dead, 425 days
1006.7
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
1003.2
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
1001.7
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
997.2
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
996.7
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
993.2
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
988.9
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
988.0
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
984.7
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
982.0
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
974.3
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
966.0
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
960.4
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
955.8
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
954.3
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
945.0
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
941.5
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
914.8
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
897.2
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
882.4
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
872.9
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
866.1
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
861.1
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
859.5
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
851.9
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
835.4
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
821.6
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
818.7
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
792.4
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
787.7
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
755.6
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
751.5
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
731.0
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
717.6
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
717.0
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
711.3
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
700.0
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
670.2
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
661.7
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
The Human Protein Atlas project is funded
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