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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
13155.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
44381.2
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
41600.1
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40143.0
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
38839.1
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
38707.8
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
36908.9
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
36737.7
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34623.2
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
30975.2
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
30828.7
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
30685.7
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
28717.2
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
28512.0
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
27986.8
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
27530.5
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
27252.7
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
26760.3
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
26587.1
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
25755.4
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
25532.5
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
25523.4
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
24507.6
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24407.0
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
24386.0
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
24001.4
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
23320.0
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
23280.2
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
22778.9
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
22523.1
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22297.5
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
21822.5
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
21506.6
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
21445.3
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
21370.6
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
21368.1
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
21224.6
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
21075.9
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
20927.3
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
20829.0
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
20571.7
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20234.2
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
20089.0
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
20048.9
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
19616.5
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
19367.9
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
19284.2
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
19220.0
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
18929.7
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
18814.8
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
18798.4
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
18560.7
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
18434.1
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
18371.6
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
18215.2
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
18157.7
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
18140.5
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
18047.8
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17876.7
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
17795.9
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
17715.8
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
17668.8
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
17523.1
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
17507.7
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
17466.4
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
17373.6
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
17343.0
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
17299.6
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
17287.0
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
17191.3
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
17153.4
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17097.7
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
17034.1
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
16884.6
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
16397.4
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
16363.5
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
15948.0
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15711.7
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
15550.0
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
15518.4
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
15440.9
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
15117.5
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
15098.4
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
15063.1
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
15059.5
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
15046.5
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
15046.0
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
15014.6
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
14998.0
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
14930.5
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
14808.4
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
14394.3
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
14378.1
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
14208.1
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
14192.4
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
14116.9
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
14059.7
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
14015.2
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
13997.3
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
13844.6
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13808.4
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
13805.0
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
13588.9
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
13584.6
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
13540.3
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
13373.2
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
13299.1
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
13241.5
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13237.7
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
13206.9
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
13039.8
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
13015.4
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
12986.3
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
12958.8
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
12541.8
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
12472.9
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
12436.1
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
12407.1
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
12312.5
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12226.2
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
12218.4
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
12202.3
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
12202.1
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
12128.2
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
11972.0
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
11932.8
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
11892.4
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
11770.6
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
11735.6
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
11631.3
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
11599.3
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
11501.2
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
11462.9
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
11427.2
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
11318.5
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
11280.0
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
11204.7
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
11053.0
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
10993.0
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
10977.3
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
10731.7
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
10653.6
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10538.8
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
10512.7
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10478.4
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
10447.0
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
10423.4
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
10311.2
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
10301.1
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
10282.2
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
10178.9
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
10168.2
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
10072.6
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
10067.0
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
10066.9
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
9960.2
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
9904.2
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
9761.9
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
9591.3
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
9583.7
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
9389.4
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
9352.0
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
9296.6
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
9092.5
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
9010.7
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
8986.8
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
8938.6
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8938.4
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
8894.1
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
8823.8
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
8792.9
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8609.5
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
8602.1
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
8565.9
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
8496.8
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
8461.5
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
8411.2
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
8357.1
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
8343.4
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
8273.8
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
8227.3
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8205.8
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
8180.3
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
8156.8
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
8107.1
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8098.1
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
8089.5
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
8087.5
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
7967.9
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
7909.3
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
7817.2
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
7741.7
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
7695.7
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
7662.9
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
7531.3
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
7484.4
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
7480.9
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
7470.8
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
7422.3
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
7410.5
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
7342.6
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
7306.7
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
7162.9
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
7099.5
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
7031.3
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6885.7
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
6694.0
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
6522.7
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
6359.6
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
6187.6
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
6004.8
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
6001.0
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
5992.5
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
5903.8
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
5810.6
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
5721.4
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5475.9
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
5472.7
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5226.9
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
5180.1
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
5096.0
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
5045.2
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
5040.2
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
5022.4
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
4731.3
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
4706.4
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
4519.4
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
4267.9
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
4075.4
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
4003.3
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
3952.7
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
3760.0
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
3707.9
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
3537.2
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
3189.6
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
3104.4
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
2784.7
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
2714.8
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
2627.5
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
2553.9
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
2336.0
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
2311.4
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
2272.0
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
2237.5
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
2222.4
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
2211.4
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
2153.1
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
1866.0
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
1519.1
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
532.6
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
289.3
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
252.5
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
129.9
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
111.7
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
8003.9
Number of samples
486
Samples
Sample
Description
TPM
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
49298.3
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
35921.8
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
32421.4
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
27022.9
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
25107.2
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
24781.7
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
24430.5
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
23696.7
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
23097.4
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
22099.5
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
21626.9
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
21596.5
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
21061.2
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
20934.6
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
20925.4
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
20826.6
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
20026.4
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
19637.5
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
19630.1
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
19553.3
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
19007.3
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
18944.8
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
18596.4
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
18400.0
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
18363.4
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
18000.4
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
17631.0
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
17279.1
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
17007.0
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
16908.7
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
16509.5
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
16497.4
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
16455.0
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
15997.1
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
15975.7
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
15578.8
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
15399.5
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
15372.2
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
14867.1
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
14823.2
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
14654.2
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
14324.6
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
14265.6
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
14265.2
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
14241.7
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
14214.7
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
14211.5
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
14181.5
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
13957.5
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
13930.4
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
13886.2
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
13868.0
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
13824.1
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
13757.3
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
13752.4
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
13747.6
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
13549.9
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
13532.1
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
13513.4
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
13478.0
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
13354.1
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
13308.3
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
13300.7
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
13300.4
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
13290.2
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
13213.0
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
13154.3
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
13132.3
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
13103.1
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
12994.0
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
12937.9
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
12916.0
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
12804.5
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
12665.1
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
12573.5
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
12516.8
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
12503.4
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
12329.0
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
12315.6
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
12298.8
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
12283.4
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
12226.3
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
12207.9
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
12160.0
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
12157.6
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
12029.7
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
11923.6
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
11834.3
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
11788.3
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
11742.6
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
11698.9
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
11619.1
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
11562.3
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
11372.7
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
11334.3
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
11307.8
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
11238.0
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
11217.0
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
11204.6
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
11175.5
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
11160.7
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
11079.4
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
11010.7
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
10960.8
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
10936.0
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
10926.1
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
10872.5
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
10826.4
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
10767.4
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
10728.8
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
10689.0
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
10666.0
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
10653.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
10619.7
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
10606.5
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
10523.1
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
10498.0
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
10449.3
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
10426.9
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
10351.5
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
10343.8
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
10334.9
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
10326.4
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
10325.2
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
10315.6
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
10297.0
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
10227.4
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
10192.3
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
10164.5
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
10081.2
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
10068.7
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
10060.7
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
9956.7
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
9891.1
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
9875.9
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
9865.2
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
9743.9
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
9628.6
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
9580.1
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
9534.7
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
9522.3
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
9436.7
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
9426.4
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
9424.1
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
9327.2
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
9301.2
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
9298.3
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
9290.3
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
9281.0
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
9275.3
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
9265.6
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
9137.9
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
9128.0
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
9115.6
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
9112.3
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
9100.6
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
9069.5
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
9031.6
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
8995.5
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
8957.6
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
8944.0
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
8922.2
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
8859.3
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
8831.5
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
8826.2
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
8792.7
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
8777.3
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
8773.8
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
8771.8
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
8741.8
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
8714.5
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
8678.8
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
8678.1
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
8674.6
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
8645.1
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
8643.4
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
8613.9
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
8603.2
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
8493.8
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
8486.4
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
8482.5
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
8479.1
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
8478.4
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
8453.2
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
8436.0
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
8381.3
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
8323.1
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
8314.5
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
8242.7
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
8235.0
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
8213.8
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
8095.9
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
8062.3
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
8043.7
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
8038.4
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
8037.2
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
8031.5
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
7957.9
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
7944.8
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
7937.8
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
7930.7
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
7892.9
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
7784.0
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
7757.8
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
7710.8
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
7663.4
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
7638.2
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
7587.4
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
7571.8
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
7569.5
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
7538.6
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
7503.5
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
7498.8
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
7467.0
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
7426.7
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
7392.7
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
7385.0
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
7312.5
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
7296.0
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
7295.5
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
7261.0
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
7254.3
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
7251.6
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
7226.3
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
7214.9
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
7168.7
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
7164.0
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
7154.7
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
7148.2
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
7113.1
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
7109.4
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
7051.9
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
7022.3
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
7001.6
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
6979.9
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
6975.0
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
6935.8
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
6922.8
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
6907.7
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
6852.8
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
6844.4
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
6823.8
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
6813.6
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
6808.3
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
6791.4
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
6786.9
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
6753.7
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
6751.2
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
6746.1
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
6742.3
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
6732.9
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
6659.7
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
6646.1
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
6627.4
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
6621.8
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
6606.6
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
6590.8
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
6585.8
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
6548.6
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
6504.5
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
6492.3
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
6473.8
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
6462.4
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
6417.4
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
6395.2
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
6377.1
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
6369.3
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
6348.3
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
6346.1
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
6334.3
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
6333.3
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
6333.1
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
6317.4
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
6305.9
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
6295.8
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
6255.1
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
6243.8
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
6242.2
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
6231.4
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
6220.9
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
6161.2
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
6132.0
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
6111.5
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
6103.7
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
6043.4
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
6033.6
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
6029.9
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
5973.9
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
5972.1
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
5970.8
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
5957.3
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
5880.1
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
5810.4
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
5801.7
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
5793.9
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
5769.3
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
5692.3
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
5678.3
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
5638.8
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
5637.6
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
5627.7
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
5607.3
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
5580.6
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
5575.7
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
5510.4
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
5504.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
5503.4
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
5492.8
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
5483.7
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
5447.5
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
5446.2
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
5404.0
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
5324.6
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
5295.8
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
5252.9
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
5251.3
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
5205.7
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
5148.2
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
5099.2
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
5089.9
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
5053.7
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
5032.1
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
5030.7
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
4991.3
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
4973.9
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
4971.9
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
4968.7
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
4962.0
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
4946.3
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
4933.4
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
4916.0
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
4910.0
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
4890.2
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
4864.1
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
4863.0
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
4862.9
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
4855.8
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
4844.0
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
4839.5
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
4806.8
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
4770.8
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
4766.0
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
4713.5
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
4713.4
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
4707.9
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
4688.9
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
4630.3
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
4611.0
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
4589.6
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
4564.1
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
4560.0
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
4551.7
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
4524.0
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
4521.1
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
4506.7
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
4486.7
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
4449.5
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
4440.7
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
4424.6
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
4391.8
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
4343.4
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
4246.4
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
4220.0
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
4205.4
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
4181.1
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
4169.1
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
4162.6
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
4152.0
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
4148.6
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
4134.9
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
4131.8
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
4107.7
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
4068.5
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
4060.4
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
4043.5
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
4023.9
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
4006.8
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
3999.6
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
3998.5
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
3943.8
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
3935.4
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
3935.1
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
3917.3
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
3908.0
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
3886.2
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
3881.8
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
3864.9
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
3856.0
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
3844.0
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
3836.6
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
3835.6
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
3824.7
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
3819.8
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
3759.2
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
3747.0
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
3738.7
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
3693.6
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
3677.1
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
3660.4
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
3660.4
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
3654.6
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
3631.9
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
3600.0
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
3533.7
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
3533.4
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
3532.0
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
3522.7
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
3488.6
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
3484.6
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
3480.1
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
3410.4
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
3399.8
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
3383.3
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
3375.8
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
3374.9
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
3367.4
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
3365.8
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
3346.4
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
3318.3
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
3315.4
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
3314.3
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
3288.7
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
3286.0
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
3281.4
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
3278.9
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
3251.9
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
3224.8
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
3170.1
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
3153.5
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
3114.5
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
3067.5
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
3048.8
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
3040.9
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
3018.7
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
2995.9
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
2985.0
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
2947.6
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
2879.2
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2839.1
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
2808.8
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
2774.2
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
2763.3
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
2711.2
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
2667.6
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
2629.8
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
2617.2
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
2604.8
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
2520.7
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
2502.0
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
2481.9
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
2470.5
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
2464.4
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
2441.0
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
2392.0
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
2383.0
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
2353.0
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
2265.2
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
2254.6
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
2200.5
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
2165.3
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
2100.7
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
2088.1
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
1939.2
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
1918.2
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
1897.2
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
1864.4
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
1857.5
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
1760.1
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
1645.3
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
1626.6
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
1614.9
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
1600.8
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
1591.2
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
1545.8
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
1529.5
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
1516.6
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1490.3
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
1476.0
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
1366.7
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
1294.4
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
1070.1
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
1051.6
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
1049.0
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
879.9
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
848.2
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
14728.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
44734.7
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
36742.8
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
34570.7
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
31111.2
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31093.5
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
30760.2
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
28398.5
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
27538.7
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
27146.9
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
26154.5
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
24840.9
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
24371.1
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
23800.2
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
23693.5
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
22320.7
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
22033.6
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
21289.3
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
20437.9
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
20386.6
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
20296.5
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
19790.3
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
19468.1
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
19298.5
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
19052.2
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
17931.8
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
17764.7
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
17751.3
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
17716.4
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
17182.0
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
17064.7
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
16888.3
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
16479.6
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
16048.4
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
15986.0
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
15953.5
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
15932.4
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
15207.7
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
15147.0
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
14899.6
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
14330.7
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
14169.0
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
14020.8
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
13811.7
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
13629.3
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
13572.2
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
13485.2
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
13445.6
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
13432.7
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
13069.9
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
12794.1
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
12179.6
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
12093.7
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
11911.5
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
11514.5
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
11159.6
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
10961.0
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
10719.4
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
10677.8
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
10273.4
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
9967.1
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
9808.0
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
9642.8
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
9599.6
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
9197.4
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
8881.1
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
8870.4
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8634.1
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
8251.6
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
8247.6
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
7805.8
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
7762.5
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
7725.8
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
7303.4
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
6926.8
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
6739.2
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
4952.8
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
4577.9
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
4505.5
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
4026.9
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
3696.3
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
3605.4
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3457.5
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3315.8
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
2720.0
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2538.2
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
2322.7
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
2276.8
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-ATP8 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12759.5
Number of samples
207
Samples
Sample
Description
TPM
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
51020.6
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
42005.7
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
38957.6
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
38936.1
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
38708.3
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
35457.6
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
34718.9
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
32604.4
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
30353.2
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
30157.7
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
29456.3
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
28730.1
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
28486.4
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
26888.7
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
26366.2
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
25436.8
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
24962.8
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
24722.2
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
24301.5
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
24295.2
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
24248.8
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
24204.4
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
24047.1
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
23546.3
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
23125.8
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
23105.0
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
22656.5
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
22604.2
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
22367.6
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
22296.7
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
22227.3
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
22178.2
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
21487.0
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
21369.8
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
21268.2
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
21204.3
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
21044.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
20978.8
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
20387.7
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
20372.9
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
20279.0
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
20179.6
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
20141.2
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
20094.7
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
20093.5
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
20017.3
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
19444.8
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
19397.9
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
19229.6
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
19009.1
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
18985.8
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
18983.8
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
18730.5
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
18727.9
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
18264.7
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
17887.4
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
17857.2
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
17697.3
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
17596.2
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
17569.8
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
17558.8
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
17472.6
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
17336.3
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
17096.3
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
16903.1
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
16832.0
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
16584.2
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
16472.4
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
16413.8
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
16088.4
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
15698.3
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
15648.5
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
15545.5
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
15541.0
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
15327.0
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
14967.2
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
14952.9
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
14876.1
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
14823.7
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
14749.4
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
14693.6
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
14343.2
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
14056.8
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
13777.8
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
13737.8
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
13593.4
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
13199.5
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
13175.7
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
12980.7
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
12771.2
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
12425.5
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
11723.0
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
11669.5
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
11242.9
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
11038.2
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
11003.4
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
10916.1
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
10758.7
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
10622.4
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
10564.2
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
10516.2
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
10510.9
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
10504.1
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
10426.8
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
10366.6
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
10203.2
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
10139.5
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
10078.6
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
10064.2
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
10012.1
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
9995.5
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
9992.6
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
9888.0
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
9803.7
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
9749.8
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
9649.0
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
9423.1
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
9204.9
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
9091.7
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
9039.6
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
8895.5
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
8737.4
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
8619.1
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
8558.5
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
8473.3
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
8425.7
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
8424.3
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
8383.3
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
8249.1
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
8139.7
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
7981.9
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
7847.4
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
7721.6
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
7596.9
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
7392.4
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
7295.9
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
6707.9
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
6705.6
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
6537.0
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
6531.6
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
6496.6
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
6301.8
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
6048.2
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
6042.3
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
5982.0
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
5866.2
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
5852.7
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
5814.9
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
5792.0
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
5560.8
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
5353.8
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
5305.6
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
5159.8
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
5069.0
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
4977.2
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
4972.1
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
4918.7
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
4784.4
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
4656.3
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
4653.3
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
4651.8
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
4590.2
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
4463.0
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
4456.5
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
4412.9
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
4396.6
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
4268.7
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
4250.4
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
4248.4
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
4213.1
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
4203.2
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
4136.0
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
4096.5
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
4064.8
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
3985.6
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
3960.6
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
3828.8
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
3725.9
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
3704.6
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
3703.9
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
3601.8
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
3527.6
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
3486.3
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
3438.4
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
3292.2
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
3194.2
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
3107.7
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
3061.7
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
2897.6
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
2818.3
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
2804.8
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
2671.5
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
2356.1
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
2221.6
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
1983.2
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
1953.9
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
1889.0
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
1864.1
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
1732.6
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
1703.9
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
1487.5
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1368.6
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
1321.7
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1220.7
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
1072.2
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
970.6
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
659.3
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
