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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.
: 385.12
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
581.4
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
3086.3
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
1804.4
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
1337.9
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
1328.8
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
1299.4
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
1295.2
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
1261.5
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
1214.5
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
1182.1
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
1151.7
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
1122.9
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
1068.3
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
1053.4
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
980.3
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
972.7
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
971.1
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
970.9
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
953.7
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
951.1
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
898.7
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
896.3
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
894.9
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
888.1
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
883.6
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
877.6
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
857.9
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
848.4
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
829.6
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
824.6
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
818.5
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
816.8
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
809.2
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
744.0
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
743.7
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
740.5
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
738.8
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
728.7
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
724.3
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
722.1
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
712.7
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
710.2
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
701.4
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
701.3
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
698.6
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
693.0
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
669.3
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
668.1
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
659.5
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
658.0
TCGA-CL-4957-01A
79 years, female, dead, 425 days
655.5
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
649.4
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
648.9
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
634.7
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
618.5
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
614.6
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
612.4
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
612.1
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
607.7
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
606.1
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
606.0
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
591.3
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
585.4
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
582.8
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
581.3
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
577.8
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
576.9
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
575.1
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
564.8
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
559.3
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
555.3
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
554.6
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
537.5
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
536.1
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
533.2
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
533.2
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
528.9
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
528.0
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
523.2
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
516.2
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
513.1
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
508.1
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
499.4
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
498.4
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
488.2
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
476.8
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
473.3
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
470.9
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
468.8
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
467.8
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
467.4
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
458.9
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
450.6
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
448.5
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
439.3
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
438.0
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
435.9
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
429.4
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
426.8
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
425.4
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
422.8
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
417.7
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
414.3
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
410.5
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
407.8
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
405.3
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
404.9
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
403.2
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
402.3
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
397.8
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
389.1
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
387.0
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
386.6
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
386.4
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
383.8
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
380.8
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
376.8
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
376.1
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
375.0
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
373.4
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
363.1
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
362.6
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
361.0
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
359.3
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
358.4
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
358.0
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
352.2
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
349.7
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
344.4
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
336.8
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
335.3
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
331.2
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
330.5
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
330.2
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
318.1
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
313.9
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
313.8
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
297.3
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
286.7
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
284.3
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
282.9
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
279.6
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
277.0
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
273.4
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
272.5
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
263.6
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
252.7
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
232.1
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
226.2
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
216.2
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
208.4
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
177.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
172.0
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
168.7
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
167.7
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
151.9
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
118.3
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
114.9
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
The Human Protein Atlas project is funded
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