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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-ATP6 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
13084.4
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
52487.1
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
40196.9
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
39515.5
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
37928.4
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
37502.6
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35076.0
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
34591.6
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
33801.6
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
31472.8
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
31380.9
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
30112.2
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
29953.5
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29715.2
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
27027.1
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
25639.4
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
25578.3
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
24852.8
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
24830.4
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
24692.0
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
24635.0
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
24532.1
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
23559.7
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
22860.3
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
22375.3
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
22269.4
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
22200.5
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
22042.9
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
22001.4
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
21617.2
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
21572.2
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
21476.9
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
21462.8
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
21428.4
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
21328.4
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
21101.6
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
21069.0
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
21052.7
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
20761.1
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
20722.1
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
20717.0
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
20686.3
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
20131.4
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19998.8
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19566.6
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
19527.3
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19523.5
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
19392.2
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
19030.5
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
18726.3
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
18628.9
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
18611.7
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
18568.8
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
18162.0
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
18044.7
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
17966.0
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
17758.7
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
17688.4
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
17468.9
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17417.5
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
17225.4
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
17138.6
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
17015.7
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
16998.3
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16801.0
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
16746.3
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
16373.3
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
16339.1
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
16328.7
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
16248.7
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
16216.3
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
16059.2
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
16050.3
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
15541.4
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
15459.8
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
15439.9
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
15334.3
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
15267.6
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
15258.9
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
15204.9
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
15187.5
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
15163.4
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
15154.1
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
15038.7
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
15032.9
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
14977.0
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
14950.0
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
14921.0
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
14822.2
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
14745.4
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
14712.6
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
14695.5
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
14550.0
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
14545.8
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
14200.1
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13956.3
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
13942.2
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
13851.8
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
13814.3
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
13720.9
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
13663.0
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
13644.2
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
13567.5
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
13481.4
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
13442.0
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
13424.8
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
13305.0
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
13241.4
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
13216.2
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
13195.9
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
13086.5
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
13061.1
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
13043.1
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
13029.9
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
12905.6
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
12795.5
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
12687.8
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
12547.1
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
12468.0
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
12398.5
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
12352.7
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
12261.2
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
12242.0
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
12080.0
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
11908.0
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
11893.7
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
11832.8
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
11690.6
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
11562.9
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
11558.1
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
11436.9
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
11364.3
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
11357.3
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
11282.1
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
11266.0
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
11256.8
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
11153.1
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
11143.8
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
11071.0
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
11030.6
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
10839.4
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
10825.2
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
10753.0
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
10596.8
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
10593.0
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
10587.3
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
10569.0
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
10474.7
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
10424.5
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
10389.4
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
10382.4
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
10376.8
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
10233.4
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
10203.5
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
10171.7
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
10117.0
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
10088.2
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
9941.8
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
9933.4
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
9870.9
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9762.6
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
9723.7
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9703.1
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
9665.5
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
9616.2
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
9483.3
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
9338.3
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
9198.7
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
9127.6
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
9120.2
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
9101.2
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
9020.2
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
8872.8
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
8809.5
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
8765.0
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
8731.1
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
8728.9
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
8605.7
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
8602.4
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
8585.1
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
8547.4
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
8520.6
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
8500.8
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
8451.5
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
8395.3
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
8389.6
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
8386.7
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
8382.6
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
8309.7
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
8283.4
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8265.3
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
8143.2
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
7933.9
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
7695.2
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
7481.8
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
7464.5
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
7348.1
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
7340.9
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
7266.5
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
7249.5
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
7222.6
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
7135.4
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
6971.3
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
6775.4
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
6747.5
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
6689.0
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6630.1
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
6417.0
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
6136.4
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
6104.0
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
6070.0
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
5865.6
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
5824.7
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
5710.0
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5678.7
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
5467.6
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
5454.8
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
5434.1
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
5375.3
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
5324.2
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
5209.7
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5004.0
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4897.7
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
4894.3
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4878.3
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
4874.3
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
4818.7
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
4672.2
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
4514.8
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
4374.2
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
4319.2
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
4288.4
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
4274.6
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
4199.2
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
4089.7
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
4042.9
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
3335.8
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
3271.2
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
2923.7
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
2816.5
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
2616.3
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
2557.2
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
2365.8
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
2315.3
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
2218.2
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
2024.9
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
1940.2
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
1674.8
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
1590.7
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
783.2
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
420.3
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
342.8
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
217.3
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
177.8
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-ATP6 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
17736.3
Number of samples
486
Samples
Sample
Description
pTPM
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
61024.1
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
59072.4
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
54935.8
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
51873.2
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
48453.0
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
48187.3
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
46944.5
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
45902.7
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
45887.1
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
43001.7
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
42469.6
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
42151.2
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
41375.1
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
41351.5
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
41313.0
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
40854.3
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
40839.8
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
40430.3
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
39907.0
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
39834.3
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
39291.8
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
38924.1
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
38202.9
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
38201.6
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
37696.2
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
37430.4
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
37235.5
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
36937.1
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
36494.5
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
35326.9
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
35027.1
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
34881.4
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
34815.6
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
34111.2
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
34089.7
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
34054.5
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
34002.3
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
33574.6
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
33565.7
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
33528.7
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
33422.1
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
33357.8
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
33160.7
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
33130.8
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
32672.3
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
32352.6
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
32243.9
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
32144.4
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
32051.1
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
31912.9
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
31823.0
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
31736.3
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
31663.2
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
31644.6
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
31625.5
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
31471.8
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
31398.3
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
31222.7
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
30943.3
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
30859.7
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
30030.9
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
30016.7
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
30012.0
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
29762.9
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
29760.6
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
29489.7
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
29264.3
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
28988.8
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
28833.3
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
28649.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
28609.7
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
28498.3
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
28446.2
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
27710.9
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
27641.6
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
27251.7
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
27163.2
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
27132.1
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
27121.2
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
26830.3
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
26667.8
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
26632.9
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
26563.3
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
26395.0
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
26325.6
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
26258.0
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
26223.6
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
25479.8
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
25451.9
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
25296.9
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
25271.8
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
25237.4
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
25023.9
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
24754.0
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
24647.5
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
24542.8
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
24531.6
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
24458.9
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
24422.2
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
24078.6
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
23817.9
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
23813.2
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
23805.3
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
23794.8
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
23754.1
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
23719.8
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
23542.1
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
23410.1
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
23265.8
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
23139.8
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
23100.0
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
23099.1
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
23087.9
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
23058.9
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
23047.3
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
22888.4
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
22885.2
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
22856.3
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
22841.4
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
22647.0
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
22564.4
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
22542.1
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
22468.1
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
22466.0
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
22453.8
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
22349.6
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
22346.7
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
22279.0
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
22238.8
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
22201.7
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
22192.1
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
22185.8
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
22112.1
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
21823.0
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
21582.2
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
21521.0
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
21455.7
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
21454.8
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
21444.3
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
21426.9
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
21365.0
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
21095.0
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
21091.0
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
20965.3
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
20759.7
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
20690.0
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
20584.2
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
20545.6
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
20532.2
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
20458.5
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
20416.5
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
20220.4
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
20166.4
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
20141.6
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
20135.0
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
20027.6
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
19980.2
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
19971.6
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
19948.3
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
19891.5
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
19831.6
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
19571.3
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
19544.5
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
19514.8
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
19509.9
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
19500.0
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
19463.5
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
19384.7
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
19369.1
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
19325.2
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
19270.4
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
19240.4
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
19227.0
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
19126.7
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
19078.0
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
18969.8
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
18892.3
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
18795.2
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
18754.0
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
18657.1
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
18577.3
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
18561.4
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
18514.1
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
18513.1
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
18365.3
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
18304.9
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
18231.8
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
18104.5
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
18051.3
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
18035.0
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
18023.9
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
18000.4
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
17951.7
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
17932.3
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
17916.8
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
17861.6
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
17853.1
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
17850.7
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
17736.2
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
17636.6
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
17573.6
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
17551.1
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
17544.1
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
17525.2
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
17491.8
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
17420.2
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
17322.7
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
17305.3
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
17301.9
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
17272.8
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
17219.1
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
17134.6
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
17074.0
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
17063.0
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
17015.7
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
16812.5
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
16693.3
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
16674.9
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
16611.0
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
16559.4
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
16420.3
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
16409.1
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
16357.2
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
16338.5
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
16253.7
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
16221.8
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
16204.2
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
16172.7
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
16093.5
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
16090.8
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
16054.8
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
15998.4
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
15988.0
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
15947.2
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
15941.5
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
15905.3
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
15904.8
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
15880.6
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
15807.3
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
15762.1
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
15694.8
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
15507.5
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
15483.3
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
15294.6
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
15281.4
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
15118.9
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
15096.0
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
15089.1
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
15083.5
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
15022.0
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
15019.5
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
15007.5
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
15001.5
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
14963.9
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
14912.7
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
14887.6
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
14839.6
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
14772.9
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
14764.9
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
14749.1
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
14740.4
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
14687.9
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
14581.1
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
14524.3
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
14514.5
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
14505.0
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
14504.8
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
14498.5
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
14496.1
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
14464.2
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
14429.7
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
14272.3
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
14259.3
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
14250.3
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
14167.6
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
14153.6
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
14131.8
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
14130.4
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
14081.3
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
14014.2
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
14009.4
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
13970.3
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
13944.8
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
13876.2
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
13874.7
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
13731.8
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
13711.4
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
13708.7
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
13671.2
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
13638.2
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
13568.5
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
13532.7
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
13451.3
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
13428.6
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
13323.4
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
13307.9
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
13268.6
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
13259.2
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
13173.0
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
13168.6
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
13046.7
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
13043.6
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
12905.1
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
12902.9
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
12856.9
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
12827.8
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
12776.0
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
12713.4
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
12695.5
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
12677.2
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
12659.1
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
12625.4
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
12587.3
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
12578.7
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
12575.1
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
12524.5
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
12519.8
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
12476.4
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
12460.3
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
12444.3
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
12432.3
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
12408.2
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
12384.9
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
12362.3
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
12263.9
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
12221.8
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
12220.8
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
12154.6
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
12103.9
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
12081.4
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
12010.2
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
11999.5
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
11987.1
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
11941.4
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
11890.9
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
11885.5
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
11867.0
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
11851.8
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
11850.4
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
11794.8
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
11781.8
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
11768.1
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
11700.2
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
11542.1
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
11504.8
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
11454.4
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
11451.1
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
11433.1
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
11389.2
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
11317.8
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
11203.9
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
11180.2
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
11156.0
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
11013.0
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
11005.5
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
10939.2
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
10885.7
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
10859.0
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
10796.0
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
10764.2
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
10743.0
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
10665.6
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
10651.1
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
10520.4
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
10493.1
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
10488.5
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
10445.5
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
10387.3
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
10367.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
10340.1
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
10229.0
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
10223.1
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
10217.0
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
10161.5
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
10096.4
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
10027.9
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
10010.7
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
10006.9
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
9997.0
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
9962.1
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
9877.2
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
9867.1
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
9817.0
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
9616.9
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
9571.5
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
9567.4
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
9558.3
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
9546.1
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
9435.0
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
9376.9
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
9351.1
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
9176.4
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
9037.0
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
9015.0
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
8983.6
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
8930.2
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
8928.0
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
8798.2
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
8780.1
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
8736.0
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
8723.0
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
8710.9
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
8709.0
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
8706.6
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
8677.6
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
8676.1
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
8665.6
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
8593.7
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
8546.3
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
8466.8
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
8450.2
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
8378.4
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
8287.8
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
8071.0
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
8067.0
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
8030.3
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
7982.2
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
7931.5
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
7917.0
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
7905.2
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
7856.6
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
7816.0
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
7795.7
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
7774.9
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
7680.7
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
7680.7
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
7670.2
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
7656.4
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
7576.2
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
7557.4
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
7515.4
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
7490.3
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
7366.7
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
7323.2
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
7323.1
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
7316.1
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
7289.6
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
7190.6
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
7113.3
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
6961.0
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
6902.3
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
6867.8
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
6842.8
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
6824.8
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
6796.1
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
6779.7
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
6771.6
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
6760.2
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
6681.5
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
6660.2
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
6587.5
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
6524.4
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
6496.3
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
6291.4
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
6063.8
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
5831.1
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
5778.2
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
5672.4
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
5658.0
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
5657.3
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
5647.4
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
5549.1
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
5543.1
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
5471.4
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
5417.2
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
5405.8
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
5364.6
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
5209.1
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
5104.2
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
5072.9
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
5066.9
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
5012.5
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
4995.3
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
4784.8
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
4730.7
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
4713.3
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
4667.9
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
4467.3
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
4431.1
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
3905.9
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
3878.9
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
3544.6
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
2985.7
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
2926.8
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
2855.2
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 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-ATP6 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
15276.4
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
68313.5
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
45708.4
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
40472.8
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
35521.0
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
34685.2
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
32013.4
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
28286.7
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
27777.0
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
24986.0
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
24928.9
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
24657.0
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
24134.4
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
21635.3
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
21622.1
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
21295.9
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
20857.6
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
20640.1
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
20599.1
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
19140.3
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
18821.4
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
18777.6
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
18315.9
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
18290.7
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
17971.5
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
17712.6
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
17685.2
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
17525.8
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
17401.6
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
17288.5
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
16975.6
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
16654.6
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
16200.0
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
16134.8
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
15937.6
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
15794.9
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
15780.8
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15726.5
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
15479.5
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
15227.8
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
15172.4
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
14349.6
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
14325.6
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
14311.7
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
14287.6
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
13937.4
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
13767.3
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
13713.7
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
13312.8
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
13028.6
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
12972.3
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
12915.1
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
12758.6
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
12288.8
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
11911.4
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
11822.7
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
11409.3
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
10889.7
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
10742.2
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
10710.1
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
10042.6
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
9969.2
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
9734.4
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
9719.4
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
9478.8
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
9166.4
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8963.2
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
8941.1
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
8806.7
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
8658.3
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
8634.5
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
8569.0
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
8416.2
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
8240.7
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
6722.3
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
6287.4
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
6184.8
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
5976.9
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
5051.0
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
4241.5
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
4049.9
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3980.6
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3961.4
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
3499.9
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
3203.5
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
2581.0
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
2125.9
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
1871.3
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 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-ATP6 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
24978.0
Number of samples
207
Samples
Sample
Description
pTPM
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
70437.0
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
69512.0
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
58646.0
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
56927.2
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
56624.6
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
56185.1
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
53670.2
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
52971.3
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
51029.5
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
50835.4
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
50733.3
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
46758.6
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
44592.6
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
44528.5
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
44394.2
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
44128.8
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
43889.3
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
43077.0
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
42200.3
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
42101.4
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
41906.8
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
40685.5
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
40464.6
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
40251.6
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
40106.3
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
39937.8
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
39789.4
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
39767.5
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
39742.5
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
39197.4
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
39042.6
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
39034.8
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
38747.4
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
38346.5
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
38234.9
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
37588.4
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
37308.3
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
36777.5
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
36115.7
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
36035.2
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
34967.6
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
34147.4
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
34104.5
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
33737.2
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
33641.6
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
33395.3
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
33327.5
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
33113.3
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
32947.5
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
32897.0
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
32895.3
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
32820.4
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
32624.5
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
32505.7
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
32489.2
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
32413.1
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
32363.7
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
32201.5
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
32122.0
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
31878.8
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
31718.7
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
31307.1
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
31217.6
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
30757.1
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
30740.7
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
30725.5
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
30678.0
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
30492.9
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
30028.3
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
29842.0
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
29717.8
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
29668.6
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
29118.8
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
29073.8
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
28907.6
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
28897.7
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
28823.3
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
28816.0
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
28551.8
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
28352.9
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
28212.9
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
27859.8
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
27722.6
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
27559.4
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
27048.0
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
26968.6
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
26540.3
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
26535.4
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
26461.2
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
26386.9
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
26032.3
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
25427.5
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
25415.8
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
25193.1
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
25104.7
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
25079.3
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
24874.6
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
24818.6
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
24511.2
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
24075.4
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
23819.3
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
23776.9
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
23646.2
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
23526.7
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
23464.8
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
22711.1
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
22564.2
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
22516.2
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
22433.3
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
22264.1
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
22053.7
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
21918.1
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
21865.1
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
21829.0
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
21640.1
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
21442.5
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
21361.2
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
21324.1
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
21281.8
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
21091.5
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
20985.1
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
20918.8
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
20858.7
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
20353.0
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
19994.1
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
19629.7
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
19437.2
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
19195.4
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
19149.8
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
19003.1
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
18833.0
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
18761.8
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
18739.9
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
18616.0
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
18441.8
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
18330.1
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
18297.1
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
18173.5
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
18055.3
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
17801.7
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
17618.8
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
17374.0
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
17335.0
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
17169.0
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
17098.8
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
17082.6
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
16417.3
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
16365.0
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
16284.3
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
15601.0
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
15531.5
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
15308.4
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
15055.4
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
15001.2
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
14675.5
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
14455.8
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
14407.5
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
14044.7
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
14022.8
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
13993.7
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
13674.9
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
13303.1
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
13231.8
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
13185.2
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
13122.7
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
12965.3
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
12780.8
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
12674.2
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
12603.8
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
12278.8
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
12263.6
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
12029.9
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
11667.8
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
11321.4
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
11197.7
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
10837.9
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
10550.1
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
10495.6
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
10435.4
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
10244.2
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
10186.6
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
10136.3
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
10096.6
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
10045.9
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
9847.1
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
9715.9
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
9239.7
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
8617.1
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
8571.5
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
8551.1
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
8415.5
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
8182.5
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
8024.7
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
7961.1
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
7826.2
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
7503.5
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
7070.2
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
6872.6
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
5650.3
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
5564.7
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
5537.0
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
5156.8
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
5073.6
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
5012.6
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
4660.8
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
4622.4
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
4343.3
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.