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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 interactive Survival Scatter plot allows for the cutoff to be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Survival analysis". Under the Survival Scatter plot the p-score landscape is shown together with the difference in median between survival time for patients who have died with respect to high and low expression. This is intended to aid the user in exploring custom cutoffs.
Individual patient data is displayed in an interactive plot 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).
Based on the FPKM value of each gene, we classified the patients into two groups and examined their prognoses. In the analysis, we excluded genes with low expression, i.e., those with a median expression among samples less than FPKM 1. The prognosis of each group of patients was examined by Kaplan-Meier survival estimators, and the survival outcomes of the two groups were compared by log-rank tests. To choose the best FPKM cut-offs for grouping the patients most significantly, all FPKM values from the 20th to 80th percentiles were used to group the patients, significant differences in the survival outcomes of the groups were examined and the value yielding the lowest log-rank P value is selected.
: 317.83
Median expression: N/A
Median follow up time: 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
363.4
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
2064.9
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
1925.2
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
928.0
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
914.9
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
770.3
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
755.1
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
746.0
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
703.6
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
688.9
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
683.1
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
650.0
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
642.4
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
626.4
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
623.9
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
611.6
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
595.9
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
573.7
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
573.0
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
566.8
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
566.3
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
563.8
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
555.6
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
548.0
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
526.0
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
521.1
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
503.8
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
502.7
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
495.3
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
482.0
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
449.1
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
448.3
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
447.7
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
444.1
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
442.6
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
441.2
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
440.5
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
433.2
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
430.8
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
429.1
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
427.7
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
427.1
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
425.2
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
424.1
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
420.7
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
415.4
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
410.5
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
409.6
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
407.9
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
401.4
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
398.1
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
397.2
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
395.6
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
393.8
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
392.4
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
389.3
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
386.6
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
384.1
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
382.7
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
379.6
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
379.0
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
378.0
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
374.6
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
370.6
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
357.8
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
357.6
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
356.5
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
350.1
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
348.1
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
347.8
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
347.2
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
343.5
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
335.0
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
332.7
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
331.9
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
331.2
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
323.4
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
321.5
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
320.0
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
318.0
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
317.6
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
317.1
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
313.0
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
312.9
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
305.7
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
305.5
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
304.2
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
300.9
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
298.5
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
290.8
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
289.4
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
284.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
282.8
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
282.8
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
280.3
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
277.8
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
274.6
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
272.1
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
270.9
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
266.8
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
265.3
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
261.9
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
261.6
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
259.3
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
258.9
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
258.3
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
257.8
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
252.4
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
252.1
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
249.8
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
249.1
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
247.7
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
246.2
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
245.1
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
243.9
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
228.7
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
226.8
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
223.5
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
212.7
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
212.0
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
208.6
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
208.6
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
208.5
TCGA-CL-4957-01A
79 years, female, dead, 425 days
207.1
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
199.3
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
199.0
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
196.9
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
196.7
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
194.1
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
193.5
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
191.9
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
190.8
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
188.1
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
186.1
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
184.5
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
184.1
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
183.4
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
181.6
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
181.5
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
180.0
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
178.5
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
172.0
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
171.5
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
164.0
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
159.7
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
157.4
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
156.8
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
151.9
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
151.4
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
149.7
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
147.9
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
145.7
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
138.1
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
132.0
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
125.7
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
125.4
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
116.7
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
114.8
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
107.2
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
The Human Protein Atlas project is funded
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