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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 cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed 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). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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 average 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 pTPM
15760.9
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
52150.1
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
48634.2
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48585.2
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
45328.5
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
44887.6
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
43402.5
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
43100.0
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
41675.5
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
37137.5
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
36784.5
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
35754.7
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
34510.5
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
33080.6
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
32612.8
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
32554.3
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
32348.5
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
31383.2
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
31099.7
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
30528.1
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
30507.8
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
30242.4
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
30091.5
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
29712.3
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29179.7
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
29122.7
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
28642.7
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
27899.7
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
27504.8
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
27031.1
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
26458.0
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
26389.0
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
25679.9
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
25552.0
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
25444.0
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
25372.5
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
25333.8
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
25230.4
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
25010.2
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
24875.5
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
24588.3
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
24359.7
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
23741.9
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
23439.3
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
23266.2
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
23021.3
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
22901.0
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
22870.3
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
22832.6
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22585.7
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
22526.5
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
22479.3
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
22253.1
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
22072.7
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
22026.8
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
21931.1
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21899.5
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
21730.6
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
21684.2
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
21665.9
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
21459.6
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
21233.5
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
21208.6
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
21134.4
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
20938.7
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
20868.6
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
20690.5
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
20564.6
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
20506.1
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
20470.7
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
20419.5
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
20364.4
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
20310.5
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
19976.1
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
19599.0
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
19322.2
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
19069.9
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
19029.5
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
18981.0
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
18555.4
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
18410.3
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
18400.5
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
18193.1
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
18094.5
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
18001.9
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
17992.2
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
17946.4
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
17921.6
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
17806.5
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
17741.0
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
17649.6
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
17504.7
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
17480.8
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
17478.5
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
17324.7
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
16772.4
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
16715.9
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
16659.2
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
16555.5
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
16471.6
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16418.7
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
16221.2
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
16205.9
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
16192.1
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
16138.0
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
16122.2
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
16085.4
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
15888.3
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
15787.8
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
15730.4
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
15669.4
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
15583.4
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
15570.2
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
15513.9
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
15435.5
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
15314.7
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
15292.0
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
15063.2
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
14916.0
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14829.5
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
14808.7
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
14709.2
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
14651.4
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
14542.6
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
14527.5
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14373.6
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
14251.0
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
14169.7
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
14022.6
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
13936.1
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
13914.1
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
13902.2
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
13735.5
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
13699.2
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
13538.1
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
13482.4
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
13427.9
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
13291.8
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
13237.5
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
13184.2
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
13106.6
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
12946.1
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
12845.6
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12700.1
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
12616.6
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
12550.1
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
12393.4
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
12367.1
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
12362.1
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
12314.2
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
12231.5
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
12202.5
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
12113.7
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
12106.4
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
12091.0
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
11971.0
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
11945.7
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
11830.4
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
11638.6
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
11433.5
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
11421.4
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
11197.1
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11091.8
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
11045.7
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
11038.7
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
10944.6
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
10870.8
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
10734.3
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
10729.4
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
10681.4
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
10547.7
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10401.2
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
10378.3
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
10295.1
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10279.8
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
10152.1
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
10117.0
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
10091.7
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
10088.8
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
10041.1
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10039.1
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
9925.0
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
9860.5
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
9849.7
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
9828.2
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
9813.0
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
9803.1
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
9671.7
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
9669.0
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
9640.6
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
9382.3
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
9353.3
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
9311.0
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
9248.7
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
9120.8
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
9072.0
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
9061.9
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
8985.2
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
8982.6
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
8975.3
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
8962.1
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
8869.4
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
8743.2
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8641.4
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
8479.1
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
8465.9
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
8234.6
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
8093.7
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
7712.0
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
7312.0
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
7213.8
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
7166.8
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
7128.2
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
7045.3
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
6920.9
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
6867.4
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
6581.1
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6580.2
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
6299.6
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
6226.4
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6137.3
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
6096.8
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
6013.9
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
5913.5
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
5848.2
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
5657.2
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
5547.3
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
5235.6
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
5006.7
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
4974.1
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
4804.7
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
4549.9
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
4341.5
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
4213.6
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
3860.7
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
3724.4
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
3321.3
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
3261.1
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
3245.0
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
3125.5
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
2929.7
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
2872.6
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
2792.5
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
2747.3
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
2698.0
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
2677.8
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
2604.4
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
2226.2
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
1912.6
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
790.0
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
381.5
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
322.4
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
207.1
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
166.7
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
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 cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed 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). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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 average 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 pTPM
10872.7
Number of samples
486
Samples
Sample
Description
pTPM
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
67301.4
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
62720.0
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
45977.3
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
42990.0
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
36260.4
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
32958.9
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
31865.4
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
30620.3
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
30396.0
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
30344.6
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
30190.2
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
29650.9
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
28803.4
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
27880.4
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
27540.7
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
27319.0
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
26409.5
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
25983.7
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
25932.1
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
25331.0
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
24582.8
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
24525.1
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
24360.8
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
24040.2
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
23988.0
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
23876.5
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
23782.6
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
23499.9
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
23055.6
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
22926.4
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
22238.8
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
21941.8
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
21925.5
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
21788.2
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
21688.6
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
21649.1
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
21427.2
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
21069.9
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
20552.5
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
20463.9
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
19677.2
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
19253.4
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
19041.7
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
18913.9
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
18860.0
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
18828.8
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
18783.5
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
18722.8
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
18679.8
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
18618.5
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
18559.5
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
18546.3
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
18524.3
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
18415.4
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
18351.2
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
18162.1
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
18141.8
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
18083.8
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
17991.0
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
17946.5
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
17820.7
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
17732.2
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
17715.8
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
17636.4
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
17539.0
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
17514.2
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
17508.7
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
17503.1
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
17494.2
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
17460.9
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
17407.7
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
17298.0
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
17242.8
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
17232.9
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
17195.7
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
17155.8
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
16853.6
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
16818.7
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
16690.2
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
16636.0
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
16430.1
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
16409.1
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
16269.5
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
16227.5
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
16218.2
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
16104.7
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
16040.6
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
16028.7
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
15951.4
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
15805.1
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
15770.4
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
15767.1
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
15766.9
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
15706.5
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
15393.3
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
15256.1
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
15182.2
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
15099.7
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
15096.3
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
15083.1
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
14958.5
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
14944.3
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
14848.4
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
14830.6
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
14632.0
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
14596.1
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
14480.1
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
14472.1
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
14429.8
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
14410.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
14386.8
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
14282.7
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
14258.1
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
14250.4
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
14156.3
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
14139.7
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
14116.5
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
14071.8
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
14067.3
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
14003.7
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
13946.1
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
13942.6
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
13920.3
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
13856.7
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
13802.2
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
13743.6
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
13650.6
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
13637.6
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
13623.7
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
13531.4
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
13441.7
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
13411.4
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
13407.8
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
13335.6
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
13288.4
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
13202.1
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
13170.8
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
13080.8
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
13068.8
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
13057.8
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
13010.5
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
13000.3
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
12973.1
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
12911.2
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
12884.4
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
12878.1
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
12836.7
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
12832.4
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
12743.1
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
12632.0
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
12451.0
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
12438.4
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
12379.3
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
12378.7
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
12327.9
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
12310.3
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
12228.8
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
12140.4
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
12116.7
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
12108.7
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
12101.4
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
12063.2
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
12048.1
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
12040.5
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
12040.1
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
12012.1
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
12005.1
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
12002.9
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
12000.7
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
11989.8
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
11837.7
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
11817.3
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
11747.3
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
11698.5
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
11696.9
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
11663.4
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
11660.6
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
11643.9
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
11641.3
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
11525.1
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
11429.0
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
11412.9
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
11344.3
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
11337.5
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
11311.4
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
11307.0
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
11178.8
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
11060.2
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
11044.3
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
11039.1
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
11000.0
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
10990.3
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
10985.8
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
10854.7
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
10853.8
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
10840.6
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
10833.8
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
10797.4
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
10764.3
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
10758.9
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
10722.5
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
10670.9
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
10627.4
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
10584.4
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
10579.1
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
10576.2
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
10519.7
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
10495.5
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
10469.0
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
10394.8
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
10343.4
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
10311.0
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
10215.6
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
10203.8
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
10194.8
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
10141.7
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
10085.6
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
10041.5
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
10037.2
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
9998.2
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
9974.6
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
9968.1
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
9938.4
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
9827.3
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
9818.9
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
9792.0
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
9779.7
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
9757.6
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
9754.3
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
9748.8
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
9672.5
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
9611.6
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
9451.3
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
9431.2
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
9412.5
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
9389.8
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
9362.0
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
9327.6
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
9302.6
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
9256.9
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
9245.3
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
9210.0
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
9145.4
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
9141.0
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
9139.8
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
9131.2
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
9124.4
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
9122.4
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
9098.0
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
9085.5
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
9054.5
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
9015.7
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
8962.1
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
8961.9
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
8934.2
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
8879.4
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
8864.3
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
8863.5
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
8846.9
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
8845.9
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
8839.5
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
8833.7
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
8807.0
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
8763.9
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
8722.8
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
8712.7
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
8703.3
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
8696.6
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
8678.8
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
8642.7
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
8622.8
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
8619.2
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
8551.4
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
8525.1
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
8494.7
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
8435.0
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
8421.2
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
8398.3
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
8394.5
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
8375.8
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
8333.8
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
8256.4
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
8233.8
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
8144.0
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
8114.9
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
8048.2
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
8025.9
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
8025.5
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
7984.1
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
7978.6
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
7961.5
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
7928.3
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
7905.7
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
7888.4
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
7859.6
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
7852.5
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
7845.8
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
7841.1
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
7826.5
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
7822.3
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
7763.6
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
7745.6
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
7642.8
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
7627.1
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
7612.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
7599.8
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
7499.9
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
7470.8
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
7405.4
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
7362.6
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
7332.1
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
7314.3
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
7313.3
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
7274.1
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
7257.4
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
7198.6
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
7136.6
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
7026.8
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
6973.8
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
6937.0
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
6923.8
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
6857.7
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
6855.5
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
6840.9
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
6820.9
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
6812.7
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
6789.7
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
6783.9
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
6783.6
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
6698.5
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
6682.2
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
6647.2
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
6646.2
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
6638.8
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
6599.1
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
6553.1
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
6545.9
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
6533.5
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
6527.2
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
6525.3
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
6521.6
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
6451.6
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
6401.9
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
6348.6
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
6340.6
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
6314.3
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
6292.9
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
6292.2
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
6284.4
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
6219.9
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
6176.8
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
6166.3
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
6164.1
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
6073.4
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
6061.7
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
6031.8
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
6027.7
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
6016.1
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
5973.1
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
5923.7
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
5923.3
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
5915.2
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
5884.7
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
5858.3
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
5824.5
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
5815.2
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
5767.1
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
5765.4
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
5756.5
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
5716.7
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
5679.4
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
5646.4
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
5633.7
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
5629.3
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
5593.3
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
5585.8
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
5573.1
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
5557.5
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
5538.7
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
5487.8
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
5467.0
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
5465.6
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
5368.4
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
5361.9
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
5346.8
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
5311.1
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
5297.6
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
5279.1
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
5268.9
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
5254.0
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
5232.9
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
5207.2
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
5184.7
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
5184.5
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
5170.7
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
5164.0
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
5139.0
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
5029.8
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
4961.1
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
4954.3
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
4946.4
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
4943.3
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
4868.5
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
4810.0
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
4808.1
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
4785.1
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
4783.1
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
4755.5
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
4744.0
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
4742.1
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
4715.7
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
4703.1
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
4699.1
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
4670.6
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
4637.0
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
4632.9
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
4612.0
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
4610.8
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
4605.1
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
4602.4
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
4572.0
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
4528.2
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
4487.5
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
4487.1
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
4482.0
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
4465.5
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
4431.5
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
4426.3
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
4391.5
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
4378.3
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
4365.1
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
4311.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
4310.8
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
4282.6
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
4237.9
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
4100.5
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
4088.1
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
3959.2
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
3916.4
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
3854.4
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
3825.3
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
3791.3
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
3716.6
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
3711.6
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
3660.0
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
3647.5
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
3549.0
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
3527.5
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
3494.9
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
3394.2
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
3389.3
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
3372.1
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
3320.0
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
3313.9
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
3251.3
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
3221.5
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
3141.8
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
3113.8
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
3063.9
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
3039.2
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
3003.6
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
2829.7
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
2811.9
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
2752.0
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
2657.6
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
2652.6
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
2521.5
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
2496.1
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
2483.3
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
2378.5
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
2348.2
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
2272.0
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
2269.9
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
2164.7
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
2136.7
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
2121.9
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
2052.6
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1956.4
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
1903.7
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
1778.8
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
1494.4
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
1448.9
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
1420.3
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
1221.3
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
1118.0
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
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 cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed 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). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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 average 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 pTPM
17578.9
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
51360.6
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
43483.8
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
41801.8
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37736.2
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
36805.2
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
36267.7
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
33766.3
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
33619.7
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
31946.2
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
30498.0
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
29339.5
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
28991.4
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
27972.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
27738.6
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
26718.4
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
26444.8
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
25329.5
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
23998.1
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
23537.3
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
23487.0
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
23197.6
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
23181.9
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
22997.3
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
22965.7
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
21855.6
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
21817.9
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
21669.3
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
21032.6
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
20394.9
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
20270.9
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
20176.6
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
19821.5
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
19451.2
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
19434.9
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
19012.4
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
18997.2
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
17848.0
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
17559.0
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
17502.4
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
17450.6
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
16857.0
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
16773.3
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
16520.2
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
16337.2
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
16211.5
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
16173.2
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
16073.1
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
16046.4
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
15652.1
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
15043.1
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
14744.8
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
14741.3
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
14153.0
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
14095.7
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
13639.8
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
13270.3
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
13028.7
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
12980.2
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
12544.2
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
12019.0
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
11814.1
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
11486.8
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
11307.5
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
10939.6
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
10914.9
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
10566.0
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10455.1
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
10035.0
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
9959.3
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
9595.8
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
9485.4
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
9370.8
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
9021.6
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
8225.8
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
8196.6
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
6074.8
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
5561.7
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
5505.2
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
4767.4
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
4519.7
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
4375.1
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
4123.2
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
4120.9
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
3372.7
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3020.0
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
2803.9
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
2663.0
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
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 cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed 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). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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 average 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 pTPM
17115.0
Number of samples
207
Samples
Sample
Description
pTPM
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
65220.7
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
51302.3
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
50703.1
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
49534.3
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
49311.4
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
47160.2
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
45207.6
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
42791.5
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
41208.2
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
39470.3
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
39171.5
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
37887.1
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
36893.7
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
35388.0
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
33387.4
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
33136.9
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
32898.6
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
32876.9
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
32799.6
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
32559.6
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
32096.5
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
32074.1
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
31706.7
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
31474.8
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
31407.1
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
31064.4
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
30859.3
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
30693.8
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
30460.6
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
29747.9
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
29555.2
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
29449.5
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
29141.9
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
29119.2
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
28932.5
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
28927.0
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
28426.3
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
27895.0
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
27807.0
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
27228.3
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
27171.6
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
27101.6
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
27002.5
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
26974.3
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
26868.0
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
26613.6
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
26373.2
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
26065.7
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
25655.3
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
25378.1
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
25328.9
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
25268.5
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
25146.1
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
24898.6
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
24709.3
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
24439.8
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
23806.1
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
23801.4
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
23751.3
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
23655.7
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
23403.0
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
23364.8
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
23182.1
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
23180.7
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
23050.3
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
22922.0
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
22254.2
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
22119.5
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
21608.8
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
21407.3
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
21382.4
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
21129.3
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
20980.6
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
20848.1
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
20821.0
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
20546.2
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
20385.4
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
20248.2
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
20190.8
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
20087.0
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
20023.1
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
19249.2
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
19154.2
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
18975.7
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
18549.7
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
18419.5
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
18376.3
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
17756.7
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
17688.7
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
17591.2
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
16418.0
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
16397.2
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
16329.3
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
16068.4
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
15608.7
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
15206.5
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
15110.1
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
14543.4
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
14511.1
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
14446.2
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
14270.8
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
14194.4
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
14124.1
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
14050.4
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
13888.1
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
13887.1
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
13826.1
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
13799.1
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
13779.6
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
13753.6
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
13727.0
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
13574.2
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
13492.2
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
13054.7
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
12985.3
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
12979.8
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
12780.3
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
12354.0
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
12165.6
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
11997.8
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
11857.2
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
11849.9
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
11816.1
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
11723.0
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
11682.9
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
11553.7
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
11536.8
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
11494.2
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
11270.1
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
11251.9
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
10557.1
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
10516.1
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
10146.7
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
9966.0
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
9939.0
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
9925.8
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
9385.7
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
9293.4
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
9193.8
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
8917.8
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
8774.5
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
8697.1
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
8612.0
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
8348.9
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
8198.5
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
8061.2
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
7980.5
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
7805.8
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
7764.0
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
7683.2
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
7421.1
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
7385.9
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
7076.6
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
6993.9
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
6953.2
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
6646.0
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
6529.3
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
6475.9
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
6444.7
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
6385.6
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
6378.2
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
6360.8
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
6313.3
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
6174.9
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
6156.8
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
5880.7
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
5869.2
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
5757.0
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
5737.7
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
5658.4
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
5620.2
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
5583.0
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
5550.2
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
5472.1
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
5461.7
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
5361.6
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
5355.6
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
5328.0
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
5022.7
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
5003.4
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
4936.5
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
4773.6
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
4689.9
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
4535.7
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
4379.1
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
4370.0
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
4311.1
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
4296.0
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
4140.8
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
3890.6
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
3815.0
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
3727.2
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
3381.2
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
3095.1
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
2780.4
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
2729.0
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
2657.8
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
2640.1
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
2587.1
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
2351.0
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
2194.5
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1938.1
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
1821.2
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1801.8
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
1402.8
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
1296.8
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
921.5
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
