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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-ND6 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2686.8
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
24451.3
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
19785.2
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
11941.7
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
10452.3
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
10209.9
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
9824.3
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
9260.5
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8111.1
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
7732.1
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
7723.2
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
7393.0
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
7142.9
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7032.9
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
6582.8
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
6043.8
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
5914.8
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
5901.0
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
5899.4
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
5831.2
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
5638.7
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
5499.3
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
5458.5
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
5415.0
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
5367.2
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
5317.8
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
5228.5
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
5218.9
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
5145.1
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
5131.8
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
5119.6
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
5004.9
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
4966.6
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
4901.2
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
4883.5
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
4818.6
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
4746.8
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
4705.9
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
4689.2
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
4653.8
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
4604.0
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
4586.5
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
4578.4
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
4553.5
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
4527.7
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
4480.7
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
4261.3
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
4209.1
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
4177.5
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
4156.4
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
4113.3
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
4096.8
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
4044.4
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
3993.2
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
3935.5
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
3920.1
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3796.0
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3786.3
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
3768.4
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
3745.5
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
3730.1
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
3681.6
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
3621.4
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
3605.9
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
3564.1
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
3562.1
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
3555.3
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
3504.1
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
3486.3
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
3482.2
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3472.0
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
3378.8
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
3297.7
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
3221.4
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
3191.5
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
3190.8
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3166.7
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3110.3
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
3107.9
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3011.7
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
2988.8
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
2948.3
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
2926.8
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
2898.2
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
2892.5
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
2837.8
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2837.0
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
2804.0
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
2790.1
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
2785.7
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2681.5
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
2678.0
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
2634.6
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
2632.6
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
2625.1
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
2616.6
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
2602.7
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
2602.2
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
2596.6
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
2574.1
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
2570.8
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
2541.7
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
2498.0
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
2493.1
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
2487.0
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
2478.8
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
2469.5
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
2452.5
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
2439.8
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
2438.3
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
2420.8
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
2417.8
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2387.4
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
2351.3
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2341.6
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
2242.9
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
2199.5
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2191.2
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
2190.2
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
2186.3
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
2176.8
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
2172.7
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2168.8
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
2118.3
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
2108.6
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
2080.0
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2075.3
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
2069.3
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
2055.2
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
2027.3
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
2018.6
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
2003.5
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
1975.6
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
1953.2
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
1951.8
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
1921.6
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
1903.4
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
1887.5
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
1864.6
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
1863.8
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
1837.7
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
1805.5
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1800.8
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
1783.7
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
1775.1
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
1755.8
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
1752.8
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
1738.8
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
1720.2
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
1704.7
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
1694.2
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
1690.3
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
1681.1
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
1680.4
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1642.2
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
1610.6
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
1603.4
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
1502.7
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
1493.1
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
1461.8
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
1445.4
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
1442.0
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
1416.1
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
1412.5
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
1382.1
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
1379.2
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
1337.3
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
1327.3
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
1323.0
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
1310.1
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
1303.3
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
1291.5
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
1267.1
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
1266.2
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
1209.2
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
1208.7
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
1206.2
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1197.2
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
1178.7
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
1173.1
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
1163.6
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
1156.4
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
1151.2
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
1144.9
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
1135.2
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1120.1
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
1110.1
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
1086.9
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
1084.4
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
1073.9
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
1073.4
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
1069.5
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1066.5
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
1050.5
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
1046.3
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
1027.1
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
1022.0
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
991.2
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
971.6
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
935.2
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
906.1
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
890.7
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
835.5
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
828.6
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
826.9
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
806.0
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
802.5
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
801.0
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
772.0
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
759.3
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
759.3
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
756.8
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
741.4
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
707.2
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
699.9
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
680.5
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
679.3
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
676.0
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
670.8
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
653.2
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
650.6
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
649.9
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
634.3
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
554.3
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
544.2
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
539.3
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
509.8
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
484.6
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
465.2
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
461.6
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
453.9
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
424.8
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
420.5
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
417.7
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
413.8
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
386.3
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
378.8
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
362.0
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
350.4
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
347.3
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
329.6
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
327.5
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
326.0
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
319.5
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
275.9
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
267.8
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
230.4
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
171.4
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
159.6
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
134.1
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
108.7
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
74.7
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
65.8
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
59.1
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 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-ND6 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3711.7
Number of samples
486
Samples
Sample
Description
pTPM
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
15415.7
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
14531.6
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
12783.9
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
12686.3
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
12151.8
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
11786.6
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
11264.0
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
10818.6
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
9984.4
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
9924.6
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
9520.8
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
9412.0
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
9368.2
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
9367.1
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
9188.3
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
9135.5
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
9084.9
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
8717.4
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
8700.7
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
8557.3
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
8432.7
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
8271.6
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
8120.3
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
7848.2
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
7705.1
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
7681.3
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
7568.0
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
7556.1
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
7403.9
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
7403.8
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
7300.9
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
7234.5
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
7184.5
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
7161.2
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
7048.0
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
7014.1
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
6922.1
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
6905.0
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
6891.1
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
6865.4
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
6706.5
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
6682.6
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
6664.1
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
6593.2
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
6554.2
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
6551.2
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
6537.1
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
6423.7
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
6391.3
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
6244.2
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
6141.8
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
6120.1
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
6075.6
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
6044.9
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
6033.0
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
6031.7
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
6030.1
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
5987.5
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
5974.9
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
5956.0
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
5947.2
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
5938.4
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
5935.5
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
5932.2
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
5905.1
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
5897.2
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
5895.5
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
5772.1
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
5740.4
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
5730.4
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
5725.7
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
5723.0
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
5720.2
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
5710.2
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
5704.0
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
5594.8
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
5586.3
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
5579.4
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
5515.3
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
5480.7
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
5427.3
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
5421.1
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
5389.0
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
5385.0
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
5338.0
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
5320.9
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
5317.0
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
5316.9
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
5307.0
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
5302.9
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
5282.8
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
5264.5
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
5236.8
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
5226.7
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
5167.9
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
5154.2
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
5151.4
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
5139.9
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
5131.7
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
5129.9
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
5122.9
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
5089.3
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
5080.9
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
5066.7
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
5065.8
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
5023.9
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
4992.7
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
4983.5
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
4949.0
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
4938.5
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
4920.6
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
4912.5
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
4907.5
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
4851.3
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
4791.2
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
4767.6
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
4752.1
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
4749.0
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
4689.7
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
4686.9
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
4686.7
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
4672.1
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
4668.9
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
4667.4
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
4663.6
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
4650.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
4646.5
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
4630.4
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
4610.9
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
4610.5
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
4594.0
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
4594.0
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
4589.8
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
4578.8
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
4569.8
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
4566.3
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
4563.7
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
4562.1
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
4555.3
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
4554.5
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
4547.2
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
4532.4
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
4531.4
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
4509.3
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
4488.9
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
4425.9
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
4407.5
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
4406.8
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
4381.6
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
4368.1
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
4365.8
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
4331.8
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
4322.2
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
4319.0
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
4304.1
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
4293.2
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
4288.4
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
4279.0
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
4273.2
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
4268.9
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
4258.0
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
4253.2
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
4244.4
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
4224.4
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
4198.6
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
4182.3
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
4178.6
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
4164.2
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
4141.3
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
4137.0
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
4133.3
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
4122.3
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
4108.1
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
4094.3
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
4084.6
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
4059.5
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
4054.5
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
4038.2
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
4031.4
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
4017.2
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
4002.7
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
3987.7
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
3960.1
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
3939.1
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
3936.3
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
3925.7
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
3924.2
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
3916.8
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
3913.8
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
3912.0
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
3876.9
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
3876.5
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
3863.3
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
3839.3
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
3839.1
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
3826.5
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
3819.1
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
3809.2
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
3805.9
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
3790.3
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
3779.2
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
3769.9
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
3762.6
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
3760.0
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
3745.6
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
3733.8
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
3723.9
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
3704.6
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
3691.8
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
3680.8
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
3656.7
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
3616.6
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
3612.8
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
3606.3
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
3574.3
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
3561.1
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
3525.2
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
3521.9
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
3518.4
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
3456.5
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
3453.0
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
3436.5
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
3435.3
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
3427.8
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
3427.7
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
3426.5
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
3418.6
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
3415.5
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
3398.9
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
3396.1
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
3394.6
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
3390.3
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
3371.1
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
3369.4
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
3356.8
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
3262.9
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
3260.9
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
3257.9
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
3255.9
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
3243.2
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
3195.8
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
3194.8
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
3186.9
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
3185.1
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
3184.2
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
3171.4
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
3160.9
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
3148.1
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
3147.0
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
3146.5
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
3107.9
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
3092.1
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
3086.6
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
3085.4
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
3076.3
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
3063.3
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
3059.8
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
3037.4
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
3015.5
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
3002.2
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
2984.8
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
2961.4
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
2950.4
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
2944.8
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
2923.9
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
2917.1
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
2913.9
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
2896.1
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
2894.4
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
2894.0
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
2889.3
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
2883.4
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
2881.0
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
2871.9
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
2867.2
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
2857.8
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
2847.7
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
2846.0
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
2837.9
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
2833.9
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
2833.0
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
2782.8
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
2771.2
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
2766.2
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
2765.0
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
2752.3
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
2747.9
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
2746.2
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
2742.3
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
2741.9
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
2732.7
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
2732.3
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
2712.5
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
2704.1
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
2688.5
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
2675.2
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
2663.5
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
2637.7
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
2625.3
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
2605.1
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
2604.9
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
2603.2
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
2602.2
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
2597.6
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
2591.3
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
2584.5
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
2582.4
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
2557.9
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
2548.7
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
2535.8
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
2533.1
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
2528.5
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
2524.1
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
2523.5
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
2518.8
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
2518.1
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
2513.0
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
2496.5
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
2494.1
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
2486.5
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
2486.0
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
2485.4
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
2461.2
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
2448.9
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
2444.6
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
2418.7
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
2414.1
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
2413.2
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
2412.8
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
2409.3
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
2404.8
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
2402.9
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
2402.5
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
2390.1
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
2384.7
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
2382.2
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
2372.3
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
2360.6
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
2354.7
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
2346.4
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
2332.0
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
2318.5
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
2302.9
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
2298.6
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
2298.3
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
2268.0
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
2266.4
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
2252.8
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
2251.6
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
2245.9
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
2240.2
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
2234.2
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
2221.7
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
2221.5
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
2215.8
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
2208.5
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
2195.1
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
2194.3
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
2191.7
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
2183.2
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
2182.8
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
2181.1
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
2178.5
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
2143.6
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
2120.6
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
2114.6
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
2106.0
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
2104.9
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
2101.2
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
2096.3
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
2090.0
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
2082.2
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
2072.6
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
2058.3
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
2043.2
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
2040.6
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
2033.2
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
2019.2
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
2016.7
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
2014.3
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
2014.1
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2003.5
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
1986.5
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
1966.0
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
1954.8
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
1936.5
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
1928.2
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
1927.4
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
1925.6
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
1922.8
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
1903.1
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
1899.2
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
1895.9
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
1889.7
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
1889.6
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
1886.8
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
1885.4
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
1856.6
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
1853.4
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
1845.1
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
1837.5
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
1827.8
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
1823.4
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
1819.6
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
1808.7
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
1799.8
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
1794.4
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
1787.3
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
1787.3
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
1772.9
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
1765.5
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
1760.3
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
1755.1
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
1719.0
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
1716.6
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
1701.6
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
1701.4
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
1693.1
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
1690.0
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
1687.0
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
1659.4
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
1648.0
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
1637.4
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
1624.8
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
1624.1
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
1623.3
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
1605.4
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
1602.5
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
1598.5
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
1583.5
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
1578.5
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
1558.3
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
1540.6
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
1521.8
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
1519.7
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
1515.2
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
1490.4
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
1487.5
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
1479.1
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
1467.8
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
1466.2
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
1437.3
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
1424.4
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
1424.1
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
1418.4
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
1389.3
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
1380.9
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
1378.2
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
1375.0
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
1356.3
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
1350.3
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
1324.8
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
1324.1
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
1321.4
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
1301.1
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
1281.0
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
1279.9
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
1275.6
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
1268.9
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
1245.8
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
1238.2
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
1234.5
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
1231.5
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
1221.8
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
1212.0
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
1192.5
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
1186.2
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
1175.8
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
1153.7
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
1147.0
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
1062.6
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
1062.3
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
1061.0
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
953.4
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
903.0
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
887.6
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
884.3
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
841.9
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
827.1
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
815.9
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
739.5
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
723.7
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
635.4
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
618.6
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
568.5
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND6 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2486.7
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
10037.5
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
8115.0
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
8006.4
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
6719.3
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
6483.0
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
6479.2
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
5626.6
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
5620.1
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
5418.4
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
5321.8
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
5265.3
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
5218.0
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
5141.0
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
5131.8
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
5107.8
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
5038.3
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
4743.0
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
4488.3
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
4001.3
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
3623.9
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
3413.5
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
3409.6
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
3314.8
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
3243.1
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
2984.9
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
2928.5
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
2832.0
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2728.0
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
2549.2
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
2527.7
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
2522.0
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
2511.6
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
2407.8
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
2343.4
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
2250.1
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
2075.4
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
2070.3
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
1962.2
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
1957.3
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
1902.5
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
1863.8
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
1836.7
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
1778.0
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
1769.1
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
1755.5
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
1735.1
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
1687.3
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
1657.7
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
1641.0
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
1578.4
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
1566.5
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
1554.2
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
1540.8
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
1531.2
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
1512.5
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
1498.7
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
1391.4
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
1309.1
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
1225.5
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
1218.6
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
1196.5
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
1168.3
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
1160.6
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
1135.6
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1062.1
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
1006.1
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
859.3
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
827.5
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
797.5
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
763.0
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
754.3
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
740.5
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
708.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
706.4
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
692.0
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
684.4
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
665.9
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
587.3
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
573.5
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
541.5
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
513.3
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
470.0
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
447.7
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
413.0
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
391.5
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
375.6
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
265.6
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 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-ND6 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
5650.1
Number of samples
207
Samples
Sample
Description
pTPM
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
29179.0
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
22212.4
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
18850.0
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
17695.2
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
15694.2
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
15477.9
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
15443.5
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
14315.8
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
14047.9
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
12180.9
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
12143.2
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
12111.4
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
11706.0
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
10998.9
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
10944.4
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
10912.2
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
10691.8
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
10450.2
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
9801.9
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
9419.7
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
9283.2
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
9237.5
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
9116.9
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
8928.1
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
8889.5
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
8754.2
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
8702.4
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
8700.5
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
8640.1
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
8554.0
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
8415.5
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
8317.9
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
8255.6
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
8186.2
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
8154.6
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
8093.3
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
8024.6
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
7856.6
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
7820.7
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
7817.6
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
7653.4
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
7461.1
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
7409.8
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
7377.9
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
7367.5
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
7354.3
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
7333.6
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
7293.5
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
7233.3
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
7192.1
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
7176.6
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
7134.4
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
7114.3
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
7101.3
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
7075.2
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
7001.4
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
6976.9
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
6908.3
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
6888.2
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
6854.8
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
6832.7
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
6775.3
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
6751.4
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
6744.1
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
6734.2
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
6541.6
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
6530.2
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
6456.7
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
6444.4
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
6421.7
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
6384.6
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
6312.4
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
6202.0
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
6183.8
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
6146.8
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
6141.5
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
6003.6
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
5980.9
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
5975.8
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
5968.9
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
5885.7
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
5869.7
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
5858.3
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
5834.8
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
5834.3
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
5824.3
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
5814.8
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
5813.0
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
5782.3
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
5744.0
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
5737.5
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
5622.5
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
5594.9
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
5554.4
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
5533.2
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
5469.9
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
5462.7
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
5455.3
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
5341.2
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
5325.5
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
5252.7
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
5217.6
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
5189.6
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
5021.2
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
4987.4
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
4968.7
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
4960.2
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
4918.8
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
4891.7
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
4851.2
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
4797.2
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
4781.6
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
4735.5
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
4707.6
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
4703.0
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
4658.5
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
4652.6
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
4590.1
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
4586.3
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
4552.1
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
4458.5
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
4404.9
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
4357.7
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
4353.9
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
4239.9
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
4202.2
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
4142.7
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
4085.8
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
4046.0
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
4042.7
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
3980.3
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
3971.0
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
3965.8
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
3929.5
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
3888.6
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
3784.7
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
3701.4
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
3683.1
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
3558.2
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
3504.5
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
3500.2
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
3465.0
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
3415.7
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
3413.6
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
3267.0
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
3263.6
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
3213.5
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
3164.7
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
3133.4
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
3093.2
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
3080.7
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
3080.2
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
3029.7
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
3028.6
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
3011.1
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
3006.0
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
2978.9
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
2958.0
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
2838.7
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
2821.1
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
2782.6
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
2781.8
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
2720.6
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
2711.7
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
2697.7
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
2644.7
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
2582.5
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
2538.3
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
2490.0
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
2484.2
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
2407.4
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
2400.1
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2376.7
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
2328.8
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
2305.3
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
2246.2
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
2200.3
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
2178.2
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
2104.0
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
2074.9
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
2058.0
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
2004.6
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
1995.1
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
1991.3
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
1986.3
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
1980.2
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
1930.6
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
1904.2
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
1879.3
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
1866.4
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
1770.1
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
1618.8
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1615.5
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
1590.9
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
1536.7
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
1474.0
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
1455.2
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
1404.3
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1357.7
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
1298.6
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
1266.2
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
1142.5
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
1085.3
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
1036.1
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
919.9
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
757.7
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
691.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
