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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-ND4L 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
7639.1
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
23427.8
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22835.4
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
21391.8
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20085.4
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
18666.0
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
17960.5
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16806.9
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
16187.7
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
16028.9
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
15622.0
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15419.6
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
15271.6
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15199.3
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
15136.6
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
14544.8
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14539.7
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
14311.9
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
14213.0
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
14166.7
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
14120.3
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
13958.9
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
13908.0
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
13864.0
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13861.9
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
13854.9
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
13776.3
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
13758.4
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
13570.2
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13512.8
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
13402.2
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
13390.3
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
13289.8
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
13224.7
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
13029.8
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
12883.0
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
12792.3
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
12629.2
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
12574.7
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
12548.4
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
12445.1
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
12031.8
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
11951.6
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
11950.6
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
11745.0
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
11730.5
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
11657.9
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
11653.2
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
11301.7
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
11257.9
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
11231.9
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
10996.1
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
10979.4
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
10848.5
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
10720.0
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10596.6
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
10530.6
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
10367.7
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
10296.2
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
10132.1
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
10087.0
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
10067.1
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
9964.7
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
9964.2
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
9903.0
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
9844.5
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
9835.9
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9801.9
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
9799.9
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
9780.2
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
9702.5
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9625.5
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
9604.6
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
9561.2
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
9527.8
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
9491.1
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
9393.2
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
9302.2
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
9276.3
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
9265.7
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
9022.3
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9011.8
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
8978.1
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
8856.4
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
8771.0
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
8559.7
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
8520.5
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
8491.0
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
8477.9
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
8456.7
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
8351.8
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
8337.2
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
8250.9
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
8222.5
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
8126.6
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
8100.3
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
8079.2
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
8059.5
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
8058.0
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
8055.9
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
8041.9
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
8035.5
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
7995.2
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
7955.3
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
7946.0
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
7941.9
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
7842.7
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
7807.4
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
7692.8
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
7681.1
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
7679.5
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
7656.5
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
7603.1
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
7538.0
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
7417.4
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
7411.7
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
7373.3
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
7353.5
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
7347.5
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
7333.9
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
7309.2
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
7302.0
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
7268.8
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
7263.1
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
7254.9
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
7216.4
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
7215.8
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
7194.6
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
7149.4
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
7039.7
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
7032.3
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
7020.5
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
7010.6
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
6973.2
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
6970.4
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
6942.1
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
6899.0
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
6861.7
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
6828.3
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
6809.0
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
6678.1
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
6623.0
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
6569.8
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
6543.7
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
6523.0
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
6520.2
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
6514.4
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
6475.8
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
6464.5
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
6432.6
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
6424.7
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
6360.4
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
6324.3
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
6304.3
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
6281.8
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
6105.2
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
5978.4
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
5929.0
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
5922.8
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
5879.6
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
5856.2
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
5821.5
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5777.1
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
5742.9
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
5634.0
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
5615.1
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
5603.5
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
5558.4
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
5463.2
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
5422.8
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
5402.8
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
5374.1
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5368.5
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
5346.9
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5324.3
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
5268.3
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
5229.1
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
5212.7
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
5093.3
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
5061.6
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
5044.2
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
5041.8
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
5040.5
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5027.3
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5025.4
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
5003.4
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
4995.6
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
4866.6
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
4753.4
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4648.5
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
4644.9
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
4636.1
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4544.3
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4464.1
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
4336.1
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
4327.6
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
4305.4
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4285.4
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
4282.4
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
4280.6
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
4183.3
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
4150.3
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
4143.3
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
4123.7
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
4103.9
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
4067.3
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
3703.2
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
3596.6
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
3540.0
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
3539.6
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
3500.0
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
3472.8
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
3468.0
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
3445.5
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
3413.4
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
3379.7
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
3352.4
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3299.7
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
3293.2
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
3263.2
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
3186.1
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
3094.2
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
2958.7
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
2942.3
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
2858.3
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
2838.2
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
2832.9
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
2760.8
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
2612.8
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
2569.1
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
2509.2
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
2411.9
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
2262.4
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
2194.6
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
2086.3
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
2006.6
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
1917.4
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
1878.2
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
1832.9
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
1829.1
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
1693.7
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
1634.9
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
1619.4
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
1619.0
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
1609.6
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
1516.6
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
1429.3
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
1324.6
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
906.5
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
888.7
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
739.2
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
338.4
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
314.7
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
301.3
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 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-ND4L 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
6915.9
Number of samples
486
Samples
Sample
Description
pTPM
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
39420.4
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
26473.6
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
23144.6
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
20907.5
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
20309.0
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
18472.0
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
18461.7
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
18358.0
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
18339.7
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
18207.9
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
17757.1
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
17367.4
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
16851.6
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
15970.7
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
15750.7
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
15466.6
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
15419.6
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
15395.0
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
15112.4
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
15102.8
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
15089.3
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
15066.4
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
14766.5
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
14733.4
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
14316.1
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
14038.3
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
13873.4
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
13826.0
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
13796.5
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
13731.5
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
13671.6
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
13661.0
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
13573.4
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
13442.1
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
13411.5
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
13395.7
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
13291.6
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
13195.5
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
12986.3
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
12909.5
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
12839.8
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
12827.2
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
12823.7
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
12739.9
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
12718.4
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
12712.3
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
12648.0
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
12586.8
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
12454.2
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
12349.9
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
12290.4
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
12276.0
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
12213.8
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
12132.9
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
12112.7
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
12104.3
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
12060.7
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
12014.5
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
11896.6
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
11719.5
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
11361.2
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
11346.1
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
11257.6
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
11241.6
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
11186.8
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
11079.7
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
11077.7
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
11055.5
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
11017.2
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
10981.9
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
10924.7
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
10904.8
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
10826.8
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
10816.4
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
10772.5
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
10709.8
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
10663.1
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
10641.1
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
10638.1
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
10632.0
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
10455.8
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
10410.8
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
10386.8
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
10306.3
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
10208.0
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
10192.6
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
10187.1
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
10186.6
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
10116.1
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
10053.8
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
10005.7
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
9999.1
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
9995.1
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
9990.6
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
9798.7
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
9767.8
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
9728.4
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
9707.2
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
9647.5
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
9593.1
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
9485.2
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
9461.7
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
9427.5
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
9381.1
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
9358.9
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
9347.8
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
9313.3
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
9267.3
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
9233.1
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
9162.5
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
9092.5
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
8978.0
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
8977.7
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
8869.9
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
8829.9
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
8799.0
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
8727.2
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
8685.5
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
8673.7
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
8657.1
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
8656.7
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
8621.3
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
8531.6
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
8472.0
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
8460.8
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
8459.7
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
8436.0
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
8418.5
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
8412.6
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
8412.5
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
8405.8
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
8371.4
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
8315.7
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
8305.4
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
8298.8
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
8278.5
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
8272.7
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
8225.0
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
8211.3
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
8194.0
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
8173.2
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
8161.9
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
8148.3
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
8124.3
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
8076.7
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
8065.4
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
8052.8
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
8048.6
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
8037.6
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
7996.3
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
7948.4
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
7924.0
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
7816.9
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
7752.5
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
7727.3
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
7725.3
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
7681.6
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
7622.9
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
7615.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
7608.2
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
7600.3
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
7580.5
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
7549.0
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
7544.8
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
7538.8
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
7522.6
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
7514.4
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
7503.5
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
7495.8
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
7447.8
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
7447.3
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
7411.2
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
7401.4
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
7382.9
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
7380.8
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
7331.5
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
7292.3
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
7231.2
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
7187.4
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
7115.8
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
7057.7
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
7041.9
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
7032.7
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
6992.4
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
6929.2
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
6926.2
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
6905.3
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
6889.7
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
6882.9
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
6879.1
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
6834.0
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
6826.6
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
6819.8
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
6819.3
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
6817.9
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
6799.2
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
6761.0
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
6760.0
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
6753.0
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
6750.3
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
6709.0
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
6694.5
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
6684.1
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
6681.5
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
6667.9
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
6656.4
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
6651.3
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
6628.0
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
6616.0
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
6570.3
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
6561.2
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
6558.9
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
6555.3
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
6550.9
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
6537.7
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
6536.0
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
6514.3
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
6509.0
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
6470.4
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
6470.2
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
6430.7
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
6418.8
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
6412.3
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
6401.2
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
6385.1
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
6378.8
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
6351.8
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
6348.4
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
6347.1
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
6333.9
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
6303.0
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
6290.4
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
6279.0
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
6237.8
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
6234.0
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
6201.4
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
6119.0
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
6076.3
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
6048.0
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
6042.9
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
6041.3
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
6034.9
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
6020.0
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
5996.4
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
5959.7
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
5927.3
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
5919.6
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
5873.5
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
5865.3
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
5861.6
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
5858.0
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
5842.6
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
5802.6
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
5751.7
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
5729.8
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
5713.6
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
5693.3
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
5692.3
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
5689.6
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
5683.2
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
5669.5
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
5648.1
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
5631.2
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
5617.4
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
5591.6
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
5586.2
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
5580.7
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
5557.0
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
5545.0
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
5543.2
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
5542.2
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
5531.8
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
5530.1
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
5487.1
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
5461.1
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
5454.5
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
5438.4
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
5431.3
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
5429.5
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
5421.8
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
5402.9
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
5399.1
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
5396.4
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
5388.4
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
5381.6
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
5356.8
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
5356.5
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
5329.5
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
5290.3
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
5289.4
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
5286.6
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
5280.0
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
5263.5
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
5256.7
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
5256.1
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
5243.3
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
5237.9
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
5217.5
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
5201.6
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
5144.7
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
5104.2
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
5094.8
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
5091.0
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
5085.4
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
5056.4
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
5048.8
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
5041.6
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
5037.3
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
5029.4
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
5018.8
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
5006.9
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
4994.5
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
4981.2
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
4975.5
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
4910.4
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
4871.7
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
4862.8
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
4857.9
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
4854.9
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
4847.6
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
4846.7
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
4841.9
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
4835.7
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
4809.3
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
4808.5
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
4795.6
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
4751.1
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
4738.9
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
4730.0
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
4705.8
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
4700.2
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
4648.3
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
4639.2
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
4622.1
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
4615.3
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
4610.0
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
4609.0
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
4594.0
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
4550.1
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
4532.2
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
4514.1
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
4501.4
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
4464.4
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
4451.5
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
4449.4
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
4437.7
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
4434.3
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
4416.9
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
4405.0
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
4358.5
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
4348.4
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
4308.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
4306.7
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
4302.6
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
4259.4
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
4251.6
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
4247.0
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
4240.7
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
4229.3
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
4203.9
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
4195.8
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
4173.7
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
4141.0
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
4131.6
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
4120.0
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
4107.9
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
4103.9
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
4090.0
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
4062.7
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
4059.6
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
4012.6
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
3988.0
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
3934.2
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
3923.7
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
3918.7
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
3913.7
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
3831.4
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
3825.4
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
3816.0
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
3804.3
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
3799.3
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
3789.5
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
3756.4
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
3713.9
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
3709.2
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
3652.4
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
3645.7
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
3638.0
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
3631.4
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
3629.6
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
3612.1
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
3602.8
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
3571.9
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
3568.2
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
3552.0
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
3520.1
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
3484.9
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
3471.9
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
3469.3
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
3459.5
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
3452.9
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
3443.9
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
3365.2
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
3308.4
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
3280.4
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
3267.1
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
3256.0
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
3251.3
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
3235.3
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
3215.4
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
3207.8
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
3200.9
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
3191.0
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
3159.8
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
3136.2
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
3109.4
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3108.9
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
3083.8
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
3080.5
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
3046.4
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3041.5
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
3021.1
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
3013.0
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
3011.8
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
2972.5
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
2968.0
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
2965.7
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
2956.9
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
2947.2
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
2916.9
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
2915.0
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
2878.3
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
2865.1
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
2854.0
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
2850.3
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
2806.1
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
2769.6
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
2745.0
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
2720.9
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
2717.0
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
2714.7
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
2641.6
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
2626.3
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
2606.2
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
2522.2
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
2515.7
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
2502.6
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
2441.5
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
2439.1
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
2392.9
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
2388.9
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
2388.7
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
2364.4
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
2344.1
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
2332.9
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
2296.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
2285.4
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
2275.7
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
2261.3
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
2246.8
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
2227.0
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
2218.9
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
2206.3
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
2169.7
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
2141.3
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
2136.2
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
2077.9
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
2056.9
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
2035.6
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
1892.1
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
1891.3
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
1889.8
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
1852.5
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
1844.5
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
1833.6
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
1768.7
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
1752.5
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
1597.7
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
1556.0
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
1540.5
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
1351.1
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
1263.4
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
1196.2
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
1142.5
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1136.6
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-ND4L 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
8408.7
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
29100.4
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
22855.9
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21091.7
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
20404.8
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
18122.0
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
17929.3
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
17494.3
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
16615.8
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
16437.8
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
15346.8
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
14499.1
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
14357.6
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
13091.1
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
13070.2
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
12712.0
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
11740.1
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
11586.9
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
11558.7
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
11465.4
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
11302.2
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11253.0
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
11213.0
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
11132.3
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
11080.7
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
10412.2
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
10276.5
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
10208.4
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
10193.3
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
10099.6
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
9292.3
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
9044.1
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
8937.8
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
8877.0
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
8815.2
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
8509.6
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
8445.2
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
8387.1
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
8084.0
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
7557.0
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
7215.8
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
7112.8
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
7057.1
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
6896.8
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
6877.2
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
6832.8
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
6773.2
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
6741.0
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
6679.3
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
6606.4
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
6506.1
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
6254.2
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
5824.5
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
5809.5
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
5758.7
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
5720.4
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
5671.5
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
5621.8
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
5553.6
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
5504.4
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
5402.4
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
5307.6
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
5166.7
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
5113.3
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
5023.7
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
4974.9
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
4971.5
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
4950.2
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
4818.4
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
4810.4
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
4590.2
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
4320.6
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
4038.6
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
3988.4
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
3956.5
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3922.4
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
3919.3
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
3630.3
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
3548.2
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3543.5
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
3530.6
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
3527.1
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
3429.7
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
3251.9
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
2148.6
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
1926.8
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1204.0
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
1088.8
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND4L 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
10879.7
Number of samples
207
Samples
Sample
Description
pTPM
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
28423.8
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
27639.1
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
26001.9
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
25422.8
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
25383.7
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
25345.5
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
24678.5
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
24054.6
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
23645.5
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
22485.1
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
22384.3
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
22258.6
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
21955.8
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
21553.7
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
21367.5
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
21001.9
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
20750.1
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
20679.0
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
20334.0
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
19448.7
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
18969.1
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
18933.7
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
18820.4
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
18361.5
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
18048.6
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
17900.3
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
17696.1
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
17345.4
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
17064.6
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
16916.9
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
16894.9
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
16578.4
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
16543.8
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
16541.2
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
16265.7
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
16223.3
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
16211.1
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
16032.7
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
15792.2
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
15731.3
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
15599.2
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
15383.5
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
15356.8
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
15347.8
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
15139.5
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
15138.7
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
14989.6
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
14970.7
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
14883.2
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
14588.7
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
14376.7
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
14323.8
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
14268.5
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
14267.3
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
13995.0
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
13836.4
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
13650.1
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
13610.9
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
13486.2
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
13373.0
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
13307.0
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
13298.0
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
13080.0
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
13020.6
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
12943.3
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
12919.2
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
12892.4
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
12838.0
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
12770.5
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
12764.1
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
12719.0
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
12693.6
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
12509.3
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
12459.1
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
12204.0
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
12175.2
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
11917.9
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
11889.3
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
11883.0
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
11825.3
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
11717.2
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
11687.9
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
11544.4
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
11503.3
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
11499.5
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
11489.0
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
11371.3
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
11370.9
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
11236.6
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
11214.5
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
11165.6
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
11059.3
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
11052.9
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
11030.4
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
10827.7
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
10787.1
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
10623.5
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
10525.6
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
10483.2
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
10223.8
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
10150.1
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
10136.5
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
10092.2
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
10023.1
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
9873.7
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
9867.5
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
9802.4
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
9667.4
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
9578.2
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
9442.0
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
9410.7
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
9403.4
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
9365.2
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
9335.2
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
9236.1
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
9221.9
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
9097.8
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
9087.3
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
9078.4
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
9051.4
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
8977.9
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
8878.6
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
8827.3
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
8824.8
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
8700.0
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
8667.7
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
8613.1
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
8584.3
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
8410.0
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
8374.6
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
8321.9
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
8196.1
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
8068.9
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
7870.5
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
7704.1
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
7655.1
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
7635.5
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
7630.1
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
7515.2
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
7403.8
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
7384.6
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
7382.7
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
7329.7
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
7270.3
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
6989.9
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
6895.2
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
6877.8
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
6870.8
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
6823.6
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
6686.7
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
6679.2
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
6638.4
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
6638.0
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
6599.1
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
6570.8
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
6570.6
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
6520.6
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
6491.5
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
6376.9
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
6234.6
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
6184.0
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
6105.2
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
6019.2
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
5800.4
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
5714.9
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
5657.8
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
5543.0
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
5378.1
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
5310.2
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
5250.6
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
5066.6
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
5048.0
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
4989.7
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
4892.7
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
4872.8
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
4740.5
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
4672.8
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
4666.8
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
4288.7
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
4124.3
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
4086.6
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
4064.5
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
4010.1
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
3964.6
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
3950.3
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
3898.5
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
3837.9
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
3708.4
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
3618.1
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
3548.9
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
3510.3
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
3390.6
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
3304.0
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
3174.4
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
3056.8
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
2856.1
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
2771.6
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
2653.4
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
2649.4
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
2631.5
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
2338.7
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
2266.0
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
2121.7
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
2040.5
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
2036.7
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
1968.1
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
1918.7
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
