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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.
: 717.12
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
685.1
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
2679.8
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
1957.0
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
1774.9
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
1669.8
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
1565.7
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
1526.7
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
1349.8
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
1239.8
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
1169.9
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
1154.3
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
1148.9
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
1137.6
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
1092.4
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
1086.3
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
1065.7
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
1053.2
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
1047.5
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
1031.0
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
1018.1
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
1010.9
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
983.4
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
949.0
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
941.1
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
934.2
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
928.0
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
927.2
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
921.4
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
905.9
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
899.8
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
897.8
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
897.4
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
884.3
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
882.3
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
878.9
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
874.8
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
874.3
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
854.1
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
845.5
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
817.5
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
815.0
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
812.1
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
803.2
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
787.9
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
766.1
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
754.4
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
751.4
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
733.7
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
724.7
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
724.4
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
721.6
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
718.8
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
715.4
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
713.4
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
700.9
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
695.0
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
686.1
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
678.7
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
667.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
666.0
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
664.0
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
660.9
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
660.5
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
658.7
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
646.3
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
644.7
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
644.2
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
636.0
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
634.3
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
633.9
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
631.8
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
626.9
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
625.8
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
622.0
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
620.6
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
617.3
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
616.3
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
614.3
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
612.6
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
609.6
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
609.4
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
608.2
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
606.3
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
602.5
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
600.8
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
597.9
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
594.8
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
586.5
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
581.3
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
580.8
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
575.6
TCGA-CL-4957-01A
79 years, female, dead, 425 days
575.5
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
572.9
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
572.9
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
570.2
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
560.5
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
559.2
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
558.3
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
557.6
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
556.9
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
553.9
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
552.7
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
549.5
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
541.9
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
540.8
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
539.5
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
534.9
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
529.3
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
515.1
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
512.9
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
507.8
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
505.3
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
498.6
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
495.0
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
492.0
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
491.6
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
487.3
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
483.9
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
481.6
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
481.0
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
479.2
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
475.7
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
474.7
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
472.4
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
468.4
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
467.4
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
467.0
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
464.6
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
464.4
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
462.0
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
454.3
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
452.0
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
450.8
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
436.3
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
422.2
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
417.0
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
416.2
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
413.5
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
409.3
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
409.1
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
405.0
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
403.7
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
400.1
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
399.2
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
390.1
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
381.8
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
362.7
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
360.3
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
359.5
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
354.7
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
338.5
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
336.9
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
334.9
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
328.7
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
311.9
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
286.3
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
280.8
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
279.4
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
271.3
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
The Human Protein Atlas project is funded
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