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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 TPM
10933.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
44668.0
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
34263.2
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
33800.3
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
32706.7
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
31891.7
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
29687.5
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28981.2
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
28962.4
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
27321.5
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
26408.0
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
25774.0
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
25201.4
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24686.8
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
22856.3
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
21714.5
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
21587.1
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
21189.5
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
21054.7
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
20919.1
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
20802.8
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
20556.1
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
19930.1
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
19607.9
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
19019.0
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
18685.6
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
18603.1
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
18350.7
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
18338.1
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
18324.9
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
18174.0
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
18131.5
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
18066.9
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
18049.4
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
17875.1
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
17637.5
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
17635.2
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17488.3
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
17448.9
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
17402.5
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
17344.1
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
17289.6
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
17198.9
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
16611.8
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16489.8
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
16481.5
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
15991.9
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15950.5
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
15665.8
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
15642.4
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15605.9
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15382.6
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
15361.6
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
15347.0
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
15133.1
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
15130.8
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
15089.8
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
14798.1
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
14783.2
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
14502.3
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14417.5
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
14265.1
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
14185.9
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
14038.2
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13983.7
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
13942.7
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
13832.0
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
13689.9
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
13571.1
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
13523.7
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
13517.6
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
13433.8
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
13220.1
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
12912.2
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
12867.4
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
12853.2
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
12830.4
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
12773.7
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
12740.5
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
12628.5
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
12582.4
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
12582.1
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
12580.3
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
12574.7
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
12571.3
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
12506.2
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
12470.6
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
12438.4
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
12206.0
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
12116.7
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
12112.0
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
12101.9
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
12087.5
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11908.6
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
11724.5
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
11672.3
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
11645.6
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
11637.5
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
11626.8
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
11588.5
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
11580.9
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
11564.6
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
11452.2
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
11385.4
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
11317.8
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11307.3
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
11276.1
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
11257.5
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
11080.6
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
11004.4
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
10961.8
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
10885.3
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
10879.1
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
10838.8
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
10629.9
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
10626.0
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
10482.5
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
10431.4
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
10412.2
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
10329.6
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
10318.7
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10311.9
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
10054.5
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
10013.0
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
9930.9
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
9905.3
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
9871.7
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
9701.8
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
9688.6
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
9658.6
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
9466.4
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
9398.8
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
9393.6
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
9242.5
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
9214.9
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
9209.4
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
9171.0
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
9143.9
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
9019.6
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
8995.7
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
8952.4
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
8915.9
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
8884.9
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
8831.6
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
8728.4
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
8672.0
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
8669.1
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
8626.2
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
8541.2
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
8502.6
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
8496.5
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
8458.0
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
8424.6
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
8407.8
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
8393.4
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
8321.6
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
8260.7
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
8212.5
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8196.5
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
8189.2
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
8118.6
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8080.9
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
8034.8
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7931.2
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
7878.5
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
7789.5
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
7726.1
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
7642.0
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
7590.4
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
7568.2
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
7554.8
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
7397.9
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
7381.7
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
7339.8
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
7283.3
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
7213.3
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
7180.9
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
7173.1
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
7156.6
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
7086.7
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
7075.4
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
7048.0
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
7008.6
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
6975.0
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
6972.7
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
6948.6
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
6941.9
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
6930.3
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
6914.7
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
6869.5
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6795.9
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
6660.6
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
6610.4
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
6399.2
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
6283.2
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
6115.8
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
6109.6
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
6053.6
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
6035.8
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
5878.4
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
5813.8
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
5799.7
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
5736.8
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
5615.8
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
5602.6
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
5550.9
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
5294.0
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5223.0
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
5192.8
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
5108.1
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
5052.8
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
4836.3
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
4815.4
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
4750.3
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
4745.4
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
4615.4
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
4464.4
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
4429.7
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
4424.7
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
4371.9
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
4334.4
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4164.2
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4064.2
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
4026.5
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
3962.4
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
3906.7
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
3904.6
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3887.1
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
3783.3
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
3650.7
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
3567.8
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
3563.7
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
3543.9
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
3530.6
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
3465.5
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
3303.5
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
2755.9
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
2741.9
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
2353.4
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
2290.3
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
2196.3
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
2131.5
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
1963.4
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
1894.2
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
1768.3
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
1676.0
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
1571.0
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
1339.5
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
1330.3
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
528.0
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
263.6
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
259.9
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
170.2
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
119.2
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 TPM
13140.9
Number of samples
486
Samples
Sample
Description
TPM
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
47898.6
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
45381.2
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
43270.6
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
40133.0
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
37967.5
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
36461.9
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
34924.5
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
34310.6
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
34200.7
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
34090.9
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
33269.4
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
31949.7
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
31875.2
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
31579.9
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
31156.2
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
30934.1
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
30751.6
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
30303.0
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
30185.6
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
30151.1
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
29632.3
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
29211.3
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
28866.5
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
28667.2
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
28428.3
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
28116.0
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
27803.2
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
27204.8
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
27051.0
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
26821.0
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
26728.1
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
26234.9
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
26128.7
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
26089.8
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
25947.0
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
25618.6
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
25570.1
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
25373.5
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
25271.8
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
25264.6
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
25105.1
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
24933.4
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
24573.1
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
24536.9
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
24359.8
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
24347.6
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
24299.0
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
24282.1
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
24244.1
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
24209.9
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
24024.2
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
23856.1
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
23845.4
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
23739.1
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
23669.5
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
23608.7
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
23307.0
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
23008.6
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
23007.6
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
22958.7
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
22820.0
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
22248.4
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
22206.9
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
22180.8
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
22089.2
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
22086.6
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
21693.7
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
21591.2
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
21583.5
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
21496.2
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
21383.3
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
21236.8
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
21174.4
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
21118.4
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
20487.6
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
20309.2
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
20194.2
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
19928.3
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
19526.4
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
19522.6
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
19495.3
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
19487.1
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
19455.2
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
19410.6
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
19352.5
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
19217.9
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
18984.8
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
18842.0
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
18721.2
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
18629.6
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
18509.0
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
18431.7
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
18412.8
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
18293.5
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
18172.3
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
18112.3
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
18095.0
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
18059.5
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
18023.8
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
17955.7
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
17809.2
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
17771.1
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
17765.2
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
17758.3
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
17663.7
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
17633.6
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
17619.0
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
17565.9
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
17467.1
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
17361.3
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
17244.7
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
17154.9
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
17150.6
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
17138.3
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
17081.1
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
17045.0
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
17035.4
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
16986.7
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
16979.0
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
16917.0
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
16905.4
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
16830.8
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
16797.2
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
16792.9
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
16668.0
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
16653.5
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
16541.6
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
16515.7
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
16395.2
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
16258.3
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
16228.0
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
16179.6
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
16170.8
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
16027.9
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
15968.4
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
15799.1
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
15737.9
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
15672.0
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
15546.1
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
15463.1
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
15405.8
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
15335.5
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
15288.9
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
15269.7
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
15267.5
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
15219.1
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
15176.2
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
15130.9
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
15097.9
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
14885.3
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
14877.3
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
14789.7
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
14786.7
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
14770.8
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
14745.2
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
14703.2
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
14574.0
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
14573.0
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
14476.0
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
14444.8
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
14433.2
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
14413.3
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
14399.9
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
14282.9
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
14149.7
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
14140.6
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
14106.1
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
14052.4
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
14048.0
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
14022.8
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
14003.8
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
13989.3
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
13931.7
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
13930.0
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
13923.0
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
13792.8
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
13718.1
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
13709.9
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
13689.1
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
13677.3
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
13657.7
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
13640.0
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
13619.2
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
13614.5
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
13557.2
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
13522.1
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
13443.8
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
13443.5
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
13411.3
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
13395.2
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
13393.8
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
13357.8
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
13242.1
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
13172.3
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
13120.2
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
13112.8
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
13109.6
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
13061.3
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
12971.8
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
12944.7
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
12938.8
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
12895.0
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
12870.1
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
12831.0
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
12822.4
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
12775.8
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
12773.6
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
12757.1
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
12746.3
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
12745.4
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
12732.7
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
12731.4
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
12730.7
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
12687.3
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
12652.5
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
12500.6
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
12468.4
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
12195.0
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
12171.1
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
12164.9
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
12156.6
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
12142.5
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
12141.5
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
12120.5
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
12104.2
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
12096.2
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
12095.2
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
12025.1
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
12014.4
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
11988.0
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
11860.9
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
11821.7
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
11804.8
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
11684.1
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
11681.6
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
11680.3
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
11648.4
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
11641.1
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
11634.3
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
11608.0
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
11593.1
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
11568.3
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
11554.3
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
11371.4
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
11360.8
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
11330.2
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
11235.1
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
11190.8
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
11136.0
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
11135.6
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
11094.5
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
11062.6
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
11055.7
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
10926.5
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
10911.8
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
10899.2
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
10863.4
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
10855.4
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
10849.3
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
10825.1
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
10813.1
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
10808.4
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
10739.9
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
10714.6
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
10694.8
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
10629.5
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
10626.5
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
10623.8
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
10611.9
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
10603.1
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
10585.4
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
10554.6
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
10532.6
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
10511.7
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
10464.2
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
10448.3
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
10441.7
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
10436.1
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
10303.3
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
10181.1
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
10106.0
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
10093.2
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
10070.2
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
10030.3
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
10029.3
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
10020.3
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
10010.5
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
9995.0
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
9987.6
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
9985.8
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
9956.9
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
9944.0
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
9902.0
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
9886.7
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
9828.2
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
9800.1
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
9788.8
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
9778.0
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
9757.8
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
9751.0
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
9671.1
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
9630.5
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
9618.3
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
9616.4
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
9593.4
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
9496.1
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
9489.3
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
9480.1
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
9477.8
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
9465.2
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
9429.9
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
9409.3
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
9321.3
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
9266.3
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
9252.5
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
9241.4
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
9236.1
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
9222.7
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
9176.9
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
9172.7
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
9163.7
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
9120.8
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
9116.8
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
8972.7
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
8935.0
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
8905.7
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
8840.8
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
8834.4
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
8826.3
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
8821.8
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
8785.5
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
8755.1
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
8747.7
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
8718.0
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
8713.3
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
8640.0
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
8606.3
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
8568.7
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
8564.0
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
8552.8
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
8539.9
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
8506.6
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
8492.5
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
8465.1
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
8335.8
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
8320.5
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
8282.2
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
8239.2
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
8222.2
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
8190.7
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
8175.2
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
8159.7
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
8132.3
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
8064.9
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
8060.9
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
8051.3
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
8025.0
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
8017.1
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
7982.3
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
7951.4
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
7916.3
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
7898.1
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
7791.1
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
7777.0
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
7679.9
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
7666.8
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
7655.9
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
7578.2
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
7553.0
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
7520.8
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
7468.9
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
7402.1
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
7377.4
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
7346.9
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
7291.1
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
7268.8
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
7247.5
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
7213.1
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
7207.0
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
7203.1
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
7198.7
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
7166.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
7127.4
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
7064.9
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
7049.1
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
7010.3
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
6974.9
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
6973.3
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
6956.2
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
6950.2
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
6949.1
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
6945.4
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
6837.6
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
6800.1
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
6781.8
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
6558.1
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
6533.3
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
6414.0
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
6401.1
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
6391.3
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
6363.6
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
6283.5
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
6193.7
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
6190.6
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
6188.4
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
6113.5
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
6111.2
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
6091.4
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
6071.1
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
6069.4
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
6040.2
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
6036.9
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
6015.6
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
5999.9
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
5948.4
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
5889.6
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
5847.2
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
5829.2
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
5827.5
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
5806.9
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
5801.2
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
5738.5
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
5736.7
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
5729.2
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
5698.7
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
5652.4
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
5636.0
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
5561.3
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
5557.3
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
5536.1
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
5530.2
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
5447.8
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
5419.0
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
5380.8
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
5322.7
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
5285.1
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
5283.8
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
5227.8
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
5213.8
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
5203.1
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
5142.1
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
5124.8
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
5124.7
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
5106.5
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
5091.2
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
5067.3
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
5009.0
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
4996.6
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
4941.8
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
4914.5
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
4801.9
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
4683.3
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
4512.3
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
4484.4
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
4428.0
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
4279.3
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
4276.5
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
4262.9
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
4215.3
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
4213.6
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
4179.9
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
4078.6
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
4033.4
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
4033.4
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
3966.7
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
3822.9
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
3815.5
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
3807.6
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
3802.8
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
3794.4
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
3786.2
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
3620.4
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
3596.9
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
3515.0
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
3491.9
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
3393.9
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
3127.7
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
2997.6
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
2886.6
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
2635.9
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
2288.8
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
2175.0
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
2173.4
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
2068.7
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
1431.3
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 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 TPM
12809.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
59500.5
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
39198.6
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
33471.6
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
30014.4
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
29418.0
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
25737.6
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
24161.7
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
22828.7
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
22051.7
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
21489.5
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
20876.4
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
20254.3
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
18484.7
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
18275.3
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
18180.0
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
17543.1
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
17533.6
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
17375.5
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
16087.3
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
15977.0
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
15430.0
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
15391.2
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
15020.6
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
14820.4
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
14703.8
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
14687.8
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
14483.7
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
14404.2
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
14386.3
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
14349.4
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
14122.1
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
13974.2
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
13645.7
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
13220.7
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
13177.5
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
13054.4
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12958.2
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
12788.1
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
12776.9
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
12757.3
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
12059.2
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
12036.8
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
12029.6
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
11720.7
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
11638.1
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
11625.2
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
11327.9
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
11128.2
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
11056.9
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
10797.6
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
10759.1
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
10737.9
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
10104.0
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
9804.4
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
9772.1
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
9614.7
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
9018.1
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
8838.2
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
8810.4
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
8392.7
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
8234.3
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
8172.2
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
7939.6
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
7667.9
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
7624.7
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
7557.2
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7402.0
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
7241.6
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
7220.7
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
7168.3
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
7125.2
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
7087.2
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
6690.0
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
5533.1
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
5169.5
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
5006.9
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
4873.0
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
4133.8
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
3420.6
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3337.9
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
3312.1
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3187.5
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
2884.2
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
2706.0
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
2138.1
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
1817.6
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1379.8
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-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 TPM
18630.8
Number of samples
207
Samples
Sample
Description
TPM
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
58354.6
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
54639.5
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
47490.5
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
44817.4
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
44710.6
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
44532.8
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
40678.2
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
39696.4
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
39216.4
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
38525.5
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
38196.6
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
34819.6
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
33814.4
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
33657.5
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
33619.9
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
33462.3
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
32781.5
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
32296.9
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
32226.7
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
31983.8
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
31871.4
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
31799.7
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
31682.9
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
30766.9
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
30529.2
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
30379.5
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
29535.8
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
29277.2
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
29263.2
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
29217.7
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
29031.0
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
28933.4
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
28513.2
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
28405.4
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
28348.5
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
28265.8
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
28131.2
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
27094.0
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
27089.6
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
26649.7
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
26504.8
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
26174.3
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
25876.3
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
25561.7
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
25464.2
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
25065.4
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
24987.4
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
24896.8
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
24894.9
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
24865.0
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
24597.0
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
24552.6
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
24511.4
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
24508.5
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
24421.2
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
24396.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
24339.5
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
24183.2
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
23890.4
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
23838.1
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
23685.5
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
23521.4
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
23467.0
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
23452.3
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
23261.5
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
23081.4
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
22689.8
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
22367.6
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
22228.3
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
22188.2
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
22099.3
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
22011.3
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
21892.7
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
21735.3
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
21524.7
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
21509.4
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
21436.6
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
21334.8
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
21146.6
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
21004.9
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
20514.2
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
20450.6
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
20276.1
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
20145.4
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
19918.0
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
19892.9
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
19748.8
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
19676.0
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
19575.1
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
19399.5
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
19214.8
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
19139.9
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
18732.2
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
18725.9
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
18686.6
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
18376.8
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
18313.6
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
18149.1
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
18067.5
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
17651.6
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
17568.1
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
17568.0
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
17439.4
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
17365.1
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
17255.3
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
17234.8
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
17076.0
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
16737.2
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
16679.7
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
16543.1
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
15958.6
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
15752.6
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
15736.8
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
15717.8
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
15644.3
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
15615.4
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
15561.1
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
15543.7
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
15507.4
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
15264.9
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
15193.9
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
14824.3
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
14620.6
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
14344.2
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
14211.3
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
14188.7
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
14149.6
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
13760.0
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
13752.2
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
13646.9
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
13612.3
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
13610.7
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
13341.9
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
13323.0
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
13173.7
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
13156.8
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
13083.9
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
13082.3
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
12892.8
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
12862.9
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
12799.8
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
12667.2
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
12598.1
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
12178.5
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
12156.8
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
12091.5
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
11962.9
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
11937.3
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
11634.4
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
11587.6
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
11509.5
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
11318.2
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
11099.4
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
10908.0
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
10842.9
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
10678.4
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
10378.3
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
10210.0
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
10117.2
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
10082.4
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
10056.0
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
9982.4
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
9905.9
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
9693.7
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
9523.4
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
9397.0
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
9205.5
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
9200.1
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
8899.2
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
8862.0
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
8785.4
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
8726.5
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
8545.5
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
8364.4
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
8114.4
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
8088.4
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
8026.2
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
7946.4
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
7708.9
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
7687.2
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
7384.2
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
7271.4
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
7151.2
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
7101.7
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
6953.6
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
6798.8
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
6698.9
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
6372.4
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
6362.6
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
6323.4
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
6262.1
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
5969.1
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
5919.2
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
5902.4
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
5856.2
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
5664.9
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
5454.6
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
5143.8
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
4218.4
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
4162.7
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
3828.0
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
3821.1
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
3629.9
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
3550.0
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
3444.2
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
3319.6
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
1806.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
