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.
: 294.24
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
248.9
Number of samples
159
Samples
Sample
Description
FPKM
TCGA-DC-6155-01A
31 years, female, white, stage:iiia, alive, 425 days
890.4
TCGA-AG-3881-01A
83 years, female, stage:iia, alive, 579 days
641.2
TCGA-AG-4005-01A
64 years, male, stage:iv, alive, 427 days
562.1
TCGA-AG-3999-01A
61 years, female, stage:iiic, alive, 853 days
556.7
TCGA-AG-3883-01A
69 years, male, stage:i, alive, 31 days
546.7
TCGA-AG-3726-01A
63 years, female, stage:i, alive, 243 days
522.6
TCGA-AG-3727-01A
78 years, female, stage:iii, alive, 30 days
520.7
TCGA-AG-A01N-01A
68 years, female, stage:iv, alive, 943 days
490.1
TCGA-AG-A016-01A
55 years, male, stage:iv, alive, 276 days
487.0
TCGA-AG-3887-01A
68 years, male, stage:iia, alive, 1124 days
474.5
TCGA-CI-6619-01B
41 years, male, white, stage:iv, alive, 184 days
472.8
TCGA-AG-3885-01A
71 years, female, stage:iiib, alive, 546 days
457.7
TCGA-AG-A02G-01A
66 years, male, stage:iv, dead, 1185 days
433.9
TCGA-DC-6682-01A
57 years, male, white, stage:iia, alive, 762 days
433.1
TCGA-AG-A02X-01A
77 years, male, stage:i, alive, 1247 days
418.3
TCGA-CI-6621-01A
63 years, male, white, stage:iiib, alive, 419 days
414.2
TCGA-AG-3909-01A
69 years, female, stage:iiib, alive, 608 days
406.5
TCGA-AG-A025-01A
62 years, female, stage:i, alive, 1520 days
386.4
TCGA-AG-3878-01A
64 years, male, stage:i, alive, 30 days
384.7
TCGA-AG-3592-01A
68 years, male, stage:iia, alive, 1035 days
384.2
TCGA-G5-6233-01A
74 years, male, white, dead, 556 days
379.3
TCGA-AF-2693-01A
75 years, male, white, stage:i, alive, 1155 days
373.9
TCGA-DY-A1DG-01A
75 years, male, white, stage:iva, dead, 1566 days
366.6
TCGA-AG-A014-01A
86 years, male, stage:i, alive, 485 days
356.0
TCGA-EI-6512-01A
64 years, female, white, stage:iiib, alive, 538 days
350.4
TCGA-AG-3580-01A
67 years, male, stage:i, alive, 244 days
348.6
TCGA-AG-3728-01A
73 years, male, stage:iiib, alive, 912 days
345.7
TCGA-AG-3598-01A
69 years, male, stage:iia, alive, 1522 days
342.6
TCGA-AF-3911-01A
48 years, male, white, stage:iiic, alive, 1148 days
339.8
TCGA-AG-3600-01A
62 years, male, stage:iiic, alive, 184 days
337.4
TCGA-EI-6507-01A
60 years, male, white, stage:iia, alive, 607 days
336.8
TCGA-F5-6814-01A
57 years, male, white, stage:iia, alive, 1131 days
328.8
TCGA-CL-4957-01A
79 years, female, dead, 425 days
328.6
TCGA-AG-3896-01A
85 years, female, stage:i, alive, 31 days
325.8
TCGA-AH-6544-01A
60 years, male, white, alive, 1173 days
324.2
TCGA-AG-3599-01A
70 years, male, stage:i, alive, 366 days
322.2
TCGA-AG-A015-01A
64 years, female, stage:i, alive, 1096 days
319.9
TCGA-CI-6620-01A
41 years, female, white, stage:iva, alive, 1009 days
319.5
TCGA-AG-3882-01A
66 years, female, stage:i, alive, 608 days
318.8
TCGA-EI-6509-01A
53 years, male, white, stage:iiic, alive, 517 days
316.8
TCGA-CI-6623-01B
44 years, male, white, stage:i, alive, 1443 days
315.2
TCGA-AG-A036-01A
71 years, male, stage:iii, alive, 3562 days
310.5
TCGA-AG-3605-01A
85 years, female, stage:iv, alive, 30 days
309.1
TCGA-EI-6917-01A
33 years, male, white, stage:iiia, alive, 531 days
305.9
TCGA-DC-6160-01A
68 years, male, white, stage:i, alive, 1339 days
304.5
TCGA-AG-3587-01A
65 years, male, stage:i, alive, 1400 days
302.2
TCGA-AG-3612-01A
55 years, female, stage:iiib, alive, 608 days
296.7
TCGA-AF-6136-01A
72 years, female, white, stage:iiib, alive, 741 days
295.0
TCGA-DY-A1DC-01A
72 years, female, white, stage:iia, dead, 1258 days
293.4
TCGA-AG-3586-01A
72 years, female, stage:iii, alive, 31 days
288.9
TCGA-DC-5869-01A
62 years, female, black or african american, stage:iiib, alive, 943 days
281.1
TCGA-AG-A023-01A
62 years, female, stage:iv, dead, 1581 days
279.7
TCGA-AG-A020-01A
57 years, female, stage:iii, alive, 31 days
277.6
TCGA-AG-3575-01A
51 years, male, stage:ii, alive, 365 days
274.2
TCGA-AF-3913-01A
60 years, male, black or african american, stage:iv, dead, 316 days
267.3
TCGA-EI-6513-01A
59 years, male, white, stage:iiib, alive, 497 days
267.1
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:iiic, alive, 2007 days
263.7
TCGA-DC-4749-01A
57 years, male, white, stage:i, alive, 762 days
263.5
TCGA-DC-6157-01A
48 years, male, black or african american, stage:i, alive, 1581 days
263.4
TCGA-AG-3583-01A
66 years, male, stage:iv, dead, 610 days
259.9
TCGA-AF-2687-01A
57 years, male, white, stage:iiic, alive, 1427 days
259.6
TCGA-AG-3890-01A
62 years, male, stage:i, alive, 518 days
253.4
TCGA-AH-6549-01A
66 years, male, white, alive, 532 days
253.1
TCGA-AG-4001-01A
74 years, female, stage:iia, alive, 1096 days
252.6
TCGA-AG-A01J-01A
59 years, female, stage:iia, alive, 31 days
252.6
TCGA-AG-3582-01A
75 years, male, stage:iv, dead, 1096 days
251.4
TCGA-AF-6655-01A
66 years, male, white, stage:iiia, alive, 609 days
250.1
TCGA-EI-6506-01A
78 years, female, white, stage:iia, alive, 625 days
247.5
TCGA-AG-3902-01A
61 years, male, stage:iia, alive, 974 days
246.6
TCGA-BM-6198-01A
73 years, male, white, stage:iiib, alive, 646 days
244.5
TCGA-EI-6881-01A
60 years, male, white, stage:iiia, alive, 499 days
243.3
TCGA-AH-6897-01A
48 years, male, white, stage:i, alive, 804 days
243.2
TCGA-AG-3894-01A
65 years, male, stage:iia, alive, 426 days
239.1
TCGA-AG-3898-01A
61 years, male, stage:iia, alive, 1461 days
237.8
TCGA-AG-A00H-01A
75 years, male, stage:iia, alive, 790 days
237.8
TCGA-AG-A00Y-01A
68 years, male, stage:iia, alive, 700 days
236.1
TCGA-AG-3892-01A
57 years, female, stage:i, alive, 396 days
235.6
TCGA-AG-3594-01A
77 years, male, stage:iia, dead, 61 days
234.6
TCGA-AG-3731-01A
65 years, male, stage:iv, alive, 1126 days
234.1
TCGA-DC-6681-01A
70 years, female, white, stage:iva, alive, 790 days
229.7
TCGA-EI-6508-01A
48 years, female, white, stage:iiib, alive, 636 days
229.6
TCGA-AG-3584-01A
60 years, male, stage:iv, dead, 730 days
224.5
TCGA-EF-5830-01A
54 years, male, white, stage:iib, alive, 106 days
224.0
TCGA-AG-4007-01A
87 years, male, stage:iv, alive, 31 days
223.9
TCGA-DC-5337-01A
69 years, male, white, stage:i, alive, 792 days
223.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:iiia, dead, 992 days
223.2
TCGA-AG-3581-01A
63 years, male, stage:i, alive, 215 days
218.3
TCGA-AH-6643-01A
50 years, male, white, stage:iiic, dead, 1314 days
216.9
TCGA-AG-3608-01A
79 years, female, stage:iia, alive, 485 days
216.7
TCGA-AG-3609-01A
65 years, female, stage:iiic, alive, 608 days
214.7
TCGA-AG-3725-01A
90 years, female, stage:iii, alive, 638 days
213.0
TCGA-DY-A1DD-01A
77 years, female, white, stage:iiib, dead, 1741 days
211.3
TCGA-AG-A00C-01A
49 years, female, stage:iiib, alive, 183 days
210.1
TCGA-DC-6158-01A
70 years, male, white, stage:i, dead, 334 days
209.5
TCGA-AF-4110-01A
77 years, male, white, stage:iva, alive, 912 days
209.5
TCGA-CL-5918-01A
90 years, female, white, stage:iia, alive, 218 days
207.9
TCGA-AG-A008-01A
50 years, female, stage:i, alive, 424 days
207.3
TCGA-AG-3591-01A
66 years, female, stage:iia, alive, 1035 days
207.2
TCGA-AG-A002-01A
35 years, male, stage:i, alive, 638 days
206.9
TCGA-AH-6644-01A
73 years, male, white, alive, 838 days
206.4
TCGA-AG-A02N-01A
67 years, male, stage:ii, alive, 1885 days
205.7
TCGA-AG-3742-01A
85 years, female, stage:i, alive, 30 days
203.1
TCGA-F5-6863-01A
71 years, female, white, stage:iiib, dead, 361 days
198.5
TCGA-EI-6510-01A
77 years, female, white, alive, 556 days
197.7
TCGA-F5-6571-01A
62 years, female, white, stage:iia, alive, 1288 days
191.6
TCGA-F5-6464-01A
77 years, female, white, stage:iiic, dead, 303 days
187.8
TCGA-AG-3578-01A
76 years, female, stage:iia, alive, 974 days
187.4
TCGA-AG-4008-01A
63 years, male, stage:iia, alive, 518 days
181.5
TCGA-AH-6903-01A
46 years, male, white, stage:iiib, alive, 592 days
180.5
TCGA-EI-6882-01A
59 years, male, white, stage:iia, alive, 262 days
174.4
TCGA-DY-A1DE-01A
56 years, female, white, stage:iia, alive, 3932 days
169.6
TCGA-G5-6235-01A
72 years, male, white, stage:iiib, alive, 1696 days
163.7
TCGA-F5-6813-01A
70 years, male, white, stage:iiic, dead, 598 days
162.9
TCGA-AG-3574-01A
89 years, female, stage:ii, dead, 1096 days
162.1
TCGA-F5-6702-01A
71 years, male, white, stage:iva, alive, 869 days
162.0
TCGA-EF-5831-01A
72 years, male, white, stage:iia, alive, 127 days
162.0
TCGA-EI-7002-01A
58 years, male, white, stage:iv, alive, 364 days
159.2
TCGA-F5-6861-01A
60 years, female, white, stage:iia, alive, 1160 days
157.9
TCGA-DC-6683-01A
43 years, male, white, stage:iiib, alive, 762 days
157.0
TCGA-G5-6641-01A
67 years, male, white, stage:iiia, alive, 804 days
156.6
TCGA-AG-3593-01A
72 years, female, stage:iia, alive, 1035 days
155.6
TCGA-AG-A032-01A
68 years, male, stage:iiib, alive, 1157 days
155.3
TCGA-DC-4745-01A
49 years, female, white, stage:iiib, alive, 639 days
152.3
TCGA-CL-5917-01A
71 years, female, white, stage:iiic, alive, 2376 days
149.8
TCGA-AG-A026-01A
66 years, male, stage:ii, dead, 59 days
149.3
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:iia, alive, 360 days
144.6
TCGA-F5-6812-01A
67 years, male, white, stage:iia, alive, 1110 days
141.6
TCGA-AG-3611-01A
72 years, male, stage:iia, alive, 424 days
139.8
TCGA-AF-5654-01A
73 years, female, white, stage:i, dead, 512 days
138.9
TCGA-AF-2691-01A
48 years, female, white, stage:i, alive, 1309 days
137.4
TCGA-CI-6622-01A
74 years, male, white, stage:iib, alive, 1362 days
135.8
TCGA-EI-6884-01A
71 years, male, white, stage:iiia, alive, 328 days
130.7
TCGA-AG-3732-01A
78 years, female, stage:i, alive, 1003 days
130.2
TCGA-DY-A0XA-01A
57 years, female, white, stage:iia, alive, 3846 days
128.5
TCGA-AF-2692-01A
54 years, female, white, stage:iia, alive, 412 days
127.9
TCGA-EI-6511-01A
52 years, male, white, stage:iiib, alive, 482 days
127.8
TCGA-EI-7004-01A
37 years, female, white, alive, 257 days
124.6
TCGA-AF-6672-01A
43 years, male, white, stage:iv, alive, 748 days
123.7
TCGA-AG-3893-01A
74 years, male, stage:iiib, alive, 1065 days
122.6
TCGA-F5-6811-01A
72 years, female, white, stage:iia, alive, 979 days
122.5
TCGA-AG-4022-01A
59 years, female, stage:ii, alive, 1400 days
121.9
TCGA-DC-6154-01A
57 years, female, white, stage:iva, alive, 365 days
121.2
TCGA-F5-6864-01A
74 years, female, white, stage:iiib, alive, 379 days
119.9
TCGA-AF-3400-01A
54 years, male, white, stage:iia, alive, 1049 days
118.7
TCGA-EI-6514-01A
59 years, female, white, stage:iia, alive, 496 days
117.3
TCGA-AG-4021-01A
84 years, female, stage:iv, dead, 121 days
114.0
TCGA-DC-6156-01A
62 years, male, white, stage:iva, alive, 943 days
114.0
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:iia, alive, 2635 days
112.4
TCGA-DT-5265-01A
51 years, male, asian, stage:ii, alive, 384 days
107.4
TCGA-EI-6883-01A
63 years, male, white, stage:iic, alive, 350 days
107.0
TCGA-AH-6547-01A
79 years, female, white, dead, 76 days
99.6
TCGA-AF-2690-01A
77 years, female, white, stage:iiic, dead, 524 days
98.3
TCGA-CI-6624-01C
53 years, female, white, stage:i, alive, 1466 days
78.4
TCGA-AG-3901-01A
67 years, female, stage:iiib, alive, 761 days
76.1
TCGA-AG-A011-01A
80 years, male, stage:iia, alive, 1126 days
64.6
TCGA-EI-6885-01A
57 years, female, white, stage:iv, alive, 415 days
59.3
TCGA-F5-6465-01A
64 years, female, white, stage:iia, alive, 1506 days
56.0
TCGA-DY-A1DF-01A
73 years, female, white, stage:iiic, dead, 734 days
The Human Protein Atlas project is funded
MENU
