We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
: 373.35
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
427.2
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
1235.3
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
1085.6
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
923.8
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
901.5
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
900.2
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
889.1
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
810.9
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
808.2
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
799.5
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
763.8
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
749.9
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
743.7
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
710.5
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
673.8
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
667.2
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
666.8
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
661.6
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
653.6
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
643.2
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
635.9
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
631.7
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
625.1
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
624.2
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
614.7
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
613.1
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
602.2
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
592.5
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
582.8
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
581.5
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
581.2
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
573.7
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
566.1
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
563.0
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
561.2
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
549.8
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
543.6
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
532.3
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
529.0
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
524.6
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
522.7
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
512.2
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
505.2
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
494.7
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
493.3
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
489.0
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
486.0
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
482.0
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
481.2
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
480.4
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
477.2
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
476.6
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
470.5
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
467.5
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
462.7
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
460.5
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
458.8
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
457.4
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
436.9
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
430.9
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
424.0
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
415.1
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
413.9
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
412.2
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
410.8
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
409.9
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
407.4
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
406.8
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
404.2
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
403.8
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
401.9
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
400.9
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
400.7
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
398.7
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
397.2
TCGA-CL-4957-01A
79 years, female, dead, 425 days
397.2
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
397.0
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
387.9
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
379.5
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
378.9
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
378.5
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
378.5
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
377.3
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
376.2
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
370.5
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
370.2
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
367.1
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
362.3
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
359.8
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
358.4
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
358.1
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
353.7
TCGA-G5-6572-01A
56 years, male, white, dead, 1432 days
352.8
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
352.5
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
350.4
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
348.6
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
346.8
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
339.2
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
337.5
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
337.4
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
337.2
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
335.7
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
333.0
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
332.3
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
331.8
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
327.2
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
325.2
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
325.0
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
324.0
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
323.9
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
323.4
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
316.9
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
309.1
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
308.1
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
307.1
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
304.6
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
302.7
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
302.0
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
300.3
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
298.0
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
294.5
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
292.4
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
290.5
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
290.3
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
289.1
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
287.9
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
286.1
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
283.6
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
283.4
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
281.1
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
279.1
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
277.2
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
273.9
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
272.9
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
271.7
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
271.5
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
271.4
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
270.0
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
268.3
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
266.6
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
260.3
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
255.3
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
248.4
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
247.6
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
242.6
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
241.7
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
235.5
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
231.9
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
231.7
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
225.2
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
217.7
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
217.6
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
207.9
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
202.3
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
198.5
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
192.9
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
172.7
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
170.2
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
The Human Protein Atlas project is funded
MENU
