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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
1974.1
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
5870.5
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
5824.5
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
5455.8
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
5192.7
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
4783.7
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
4716.6
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
4307.5
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
3963.8
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
3299.3
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
3002.0
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
3001.1
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
2831.8
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
2779.2
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
2737.6
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
2674.1
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
2666.7
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
2624.3
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
2565.9
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
2501.1
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
2487.1
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
2463.2
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
2455.3
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
2429.6
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
2419.1
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
2344.9
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
2324.6
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
2311.8
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
2310.5
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
2310.0
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
2281.7
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
2273.6
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
2233.0
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
2232.9
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
2217.4
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
2211.1
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
2204.4
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
2179.4
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
2176.5
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
2170.4
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
2169.5
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
2149.3
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
2139.4
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
2103.4
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
2103.0
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
2100.5
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
2086.1
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
2083.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
2076.9
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
2075.5
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
2069.8
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
2066.0
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
2032.9
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
1999.5
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
1997.6
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
1980.4
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
1975.3
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
1973.9
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
1952.2
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
1937.6
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
1929.7
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
1928.7
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
1921.4
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
1904.1
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
1900.8
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
1898.7
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
1893.2
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
1887.7
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
1885.1
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
1880.8
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
1880.3
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
1867.9
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
1867.2
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
1859.7
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
1858.4
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
1854.4
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
1840.8
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
1825.0
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
1823.0
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
1796.1
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
1785.6
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
1780.3
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
1779.1
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
1759.7
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
1756.7
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
1753.9
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
1729.1
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
1716.3
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
1714.3
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
1713.2
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
1684.1
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
1683.1
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
1679.8
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
1666.1
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
1659.1
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
1658.5
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
1657.4
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
1653.2
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
1647.7
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
1641.1
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
1636.1
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
1625.0
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
1622.8
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
1622.5
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
1621.0
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
1616.8
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
1609.8
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
1600.2
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
1598.3
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
1593.7
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
1587.4
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
1582.8
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
1547.5
TCGA-CL-4957-01A
79 years, female, dead, 425 days
1544.5
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
1532.7
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
1510.7
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
1509.2
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
1502.9
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
1502.3
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
1499.3
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
1498.7
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
1493.3
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
1488.6
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
1474.0
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
1454.1
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
1435.3
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
1435.1
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
1427.5
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
1421.1
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
1419.5
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
1416.4
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
1411.2
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
1408.3
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
1399.7
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
1385.3
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
1383.8
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
1382.6
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
1367.7
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
1365.5
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
1362.3
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
1347.3
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
1343.4
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
1343.3
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
1338.7
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
1325.2
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
1319.8
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
1297.7
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
1290.1
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
1289.3
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
1289.0
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
The Human Protein Atlas project is funded
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