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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-ND2 is potential prognostic, high expression is unfavorable 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
7785.7
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
31008.6
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
30234.8
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25275.3
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
24652.6
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
24368.5
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
24305.0
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21103.4
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
19979.3
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
19695.6
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
19387.7
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18815.9
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
18590.6
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
18506.3
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
17801.3
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17787.9
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
16360.2
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
16309.7
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
16196.8
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
16125.0
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16118.6
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
15995.9
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15944.1
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
15917.5
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
15734.5
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
15174.8
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
14720.6
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
14533.6
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14073.0
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
13789.1
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
13785.2
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
13745.3
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
13595.6
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13557.0
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
13521.3
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
13486.2
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
13423.9
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
13347.6
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
13288.8
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
13151.1
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
13148.1
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
12637.0
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
12531.3
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
12495.9
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
12246.7
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
11983.8
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
11925.1
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
11873.6
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
11551.1
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
11447.8
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
11434.6
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
11366.9
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
11298.2
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
10993.0
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
10983.4
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
10942.4
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10907.0
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
10872.6
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
10791.2
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
10704.6
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
10664.1
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
10468.5
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
10436.5
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
10417.8
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
10398.5
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
10283.0
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
10184.3
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
10135.6
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
10037.3
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
10007.4
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
9916.0
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
9751.9
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
9662.6
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
9620.4
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
9347.1
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
9346.7
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
9332.4
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
9174.3
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
9104.0
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
9011.6
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
8934.7
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
8813.1
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
8770.6
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
8612.9
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
8595.8
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
8570.5
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
8529.2
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
8526.8
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
8506.5
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
8430.3
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
8393.3
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
8390.7
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
8368.0
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
8335.4
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
8188.8
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
8181.9
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
8155.7
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
8150.8
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
8045.6
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
7998.4
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
7996.5
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
7837.3
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
7811.3
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7805.1
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
7802.6
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
7798.2
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
7792.1
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
7651.8
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
7596.2
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
7590.4
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
7579.2
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
7560.0
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
7434.2
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
7398.8
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
7320.2
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
7277.0
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
7274.9
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
7260.1
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
7159.1
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
7157.9
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
6917.0
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
6905.0
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
6754.1
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
6735.4
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
6727.7
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
6714.5
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
6708.6
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
6705.2
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
6657.3
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
6646.5
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
6579.0
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
6571.4
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
6515.6
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
6458.0
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
6304.3
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
6282.4
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
6264.0
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6250.7
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
6086.9
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
6075.1
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
5983.4
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
5932.0
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
5918.1
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
5892.7
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5870.4
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
5869.2
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
5813.7
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
5806.1
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
5737.3
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
5672.1
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
5573.1
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
5470.4
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
5455.5
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
5436.9
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5433.4
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
5409.8
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
5371.3
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
5360.0
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
5295.9
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
5240.6
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
5203.5
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
5155.0
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5135.8
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
5089.4
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
5051.1
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
4989.5
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
4958.8
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4907.8
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
4869.9
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
4862.8
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4859.8
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
4747.1
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
4733.9
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4729.4
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
4724.9
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4678.4
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
4637.1
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
4599.7
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4553.1
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
4539.1
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
4523.3
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
4519.0
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
4516.6
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
4488.0
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
4423.8
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
4356.0
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
4242.7
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
4217.8
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
4211.5
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
4167.8
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4146.0
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4129.8
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
4111.3
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
4066.9
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
4028.9
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
3891.6
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
3889.6
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
3870.4
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
3824.0
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
3773.4
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3635.1
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
3597.0
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
3581.2
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
3560.3
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
3556.9
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
3448.9
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
3442.6
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
3423.4
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
3357.9
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
3199.7
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
3184.3
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
3179.3
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
3173.5
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
3143.1
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
3057.8
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2993.6
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
2987.5
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
2894.7
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
2843.2
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
2807.5
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
2710.5
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
2681.2
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
2665.8
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
2601.6
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
2516.9
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
2408.2
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
2394.0
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
2240.0
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
2228.7
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
2197.7
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
2138.4
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
2068.4
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
1954.0
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
1951.2
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
1928.2
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
1833.8
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
1794.9
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
1759.6
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
1755.1
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
1740.4
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
1720.1
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
1513.8
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
1374.8
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
1302.4
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
1210.9
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
1162.3
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
1124.1
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
1117.4
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
881.1
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
668.5
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
194.2
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
169.2
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
90.7
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
77.0
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND2 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
9815.8
Number of samples
486
Samples
Sample
Description
pTPM
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
45284.8
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
40612.1
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
38301.9
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
34929.1
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
31096.7
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
28906.5
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
28601.5
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
28453.0
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
27029.9
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
26806.3
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
26579.7
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
26229.5
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
25229.9
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
24788.1
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
23960.6
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
23540.9
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
23533.9
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
22853.3
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
22816.6
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
22803.7
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
22653.3
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
21823.5
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
21676.7
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
21428.6
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
21295.6
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
21124.7
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
20812.3
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
20726.2
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
20662.8
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
20648.2
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
20626.6
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
20602.0
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
20454.1
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
20342.4
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
20312.6
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
20075.0
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
19859.8
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
19284.0
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
19223.6
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
19203.8
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
18866.2
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
18462.7
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
18420.1
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
18397.1
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
18222.5
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
17978.4
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
17944.3
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
17789.4
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
17775.8
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
17764.4
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
17690.9
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
17669.0
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
17668.7
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
17668.3
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
17592.2
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
17547.3
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
17528.4
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
17509.1
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
17351.0
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
17220.2
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
17170.7
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
17138.4
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
17130.4
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
16998.5
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
16978.6
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
16965.9
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
16949.4
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
16909.4
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
16763.3
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
16639.3
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
16551.1
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
16530.2
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
16409.9
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
16326.2
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
16137.6
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
16137.3
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
16099.9
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
15968.9
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
15825.0
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
15617.4
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
15580.4
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
15525.3
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
15488.2
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
15261.3
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
15236.5
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
15208.0
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
15101.2
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
15064.5
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
14981.7
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
14952.0
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
14822.4
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
14802.8
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
14796.1
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
14663.9
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
14640.2
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
14575.4
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
14542.0
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
14402.7
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
14217.1
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
14173.1
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
14167.4
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
14123.4
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
14099.7
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
14099.1
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
14073.9
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
14053.8
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
14044.8
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
14013.6
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
14011.8
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
14003.3
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
14003.0
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
13981.8
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
13963.8
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
13958.5
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
13802.5
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
13761.4
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
13709.0
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
13574.9
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
13571.8
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
13529.4
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
13437.0
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
13393.3
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
13347.2
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
13266.6
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
13119.6
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
13106.5
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
12861.3
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
12847.6
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
12846.9
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
12801.5
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
12721.9
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
12718.6
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
12691.5
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
12398.4
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
12366.4
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
12323.4
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
12271.4
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
12253.5
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
12128.1
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
12127.4
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
12081.3
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
11879.5
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
11800.7
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
11608.1
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
11475.8
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
11460.9
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
11444.0
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
11397.8
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
11384.5
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
11282.9
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
11266.3
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
11148.1
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
11103.9
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
11091.7
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
11047.3
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
11031.2
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
10887.6
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
10675.4
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
10662.0
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
10641.5
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
10593.7
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
10589.4
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
10553.8
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
10541.3
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
10500.1
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
10481.7
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
10459.1
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
10451.4
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
10444.4
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
10388.0
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
10367.5
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
10259.0
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
10203.1
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
10191.7
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
10144.8
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
10114.9
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
10099.6
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
10087.7
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
10048.2
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
9997.4
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
9955.1
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
9907.9
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
9842.7
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
9836.2
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
9826.2
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
9727.8
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
9717.6
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
9694.8
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
9683.4
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
9619.3
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
9595.9
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
9594.7
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
9586.5
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
9479.7
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
9452.5
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
9439.1
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
9420.7
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
9381.9
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
9324.4
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
9320.9
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
9295.7
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
9287.5
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
9286.7
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
9280.7
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
9249.2
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
9240.7
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
9209.2
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
9192.5
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
9157.4
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
9145.8
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
9099.1
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
9043.1
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
9035.4
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
9025.9
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
8963.0
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
8944.6
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
8931.3
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
8921.2
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
8897.2
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
8896.2
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
8890.1
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
8871.9
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
8848.1
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
8798.1
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
8796.3
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
8794.4
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
8775.6
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
8712.6
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
8687.4
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
8670.3
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
8660.9
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
8639.8
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
8620.3
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
8557.1
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
8538.6
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
8530.1
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
8523.7
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
8474.0
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
8467.4
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
8463.0
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
8460.0
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
8452.8
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
8409.1
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
8358.7
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
8343.7
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
8301.1
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
8294.3
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
8238.1
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
8224.5
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
8175.5
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
8174.0
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
8095.6
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
8084.0
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
8060.5
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
8018.5
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
7984.3
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
7977.6
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
7911.2
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
7903.1
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
7847.2
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
7836.4
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
7827.5
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
7816.1
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
7743.2
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
7698.6
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
7693.1
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
7642.1
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
7624.9
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
7584.6
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
7526.5
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
7480.0
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
7462.9
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
7341.2
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
7310.4
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
7291.2
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
7286.0
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
7265.8
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
7194.0
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
7170.3
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
7147.8
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
7121.1
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
7102.9
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
7096.1
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
7067.6
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
7025.1
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
7015.2
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
6858.7
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
6830.8
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
6828.3
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
6792.3
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
6787.6
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
6783.4
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
6769.3
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
6731.7
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
6726.9
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
6719.6
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
6682.7
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
6677.6
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
6645.4
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
6637.0
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
6611.4
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
6594.0
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
6559.2
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
6549.9
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
6502.8
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
6450.3
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
6439.5
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
6418.2
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
6380.9
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
6358.9
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
6344.1
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
6326.8
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
6325.9
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
6295.4
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
6264.9
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
6260.9
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
6183.6
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
6156.2
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
6122.5
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
6118.6
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
6099.7
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
6083.0
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
6043.0
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
6031.4
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
6029.1
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
6021.2
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
6015.4
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
5994.5
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
5938.3
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
5933.5
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
5881.8
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
5865.3
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
5864.6
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
5864.4
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
5777.5
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
5774.9
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
5734.5
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
5716.3
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
5712.7
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
5710.1
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
5705.7
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
5687.3
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
5676.4
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
5670.6
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
5620.3
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
5614.6
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
5571.7
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
5569.8
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
5565.0
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
5530.5
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
5526.6
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
5492.4
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
5485.3
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
5452.7
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
5444.7
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
5412.7
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
5375.9
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
5325.0
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
5304.9
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
5299.3
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
5285.2
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
5282.4
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
5281.8
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
5261.9
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
5181.4
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
5178.3
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
5166.0
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
5140.2
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
5090.6
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
5076.3
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
5050.9
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
5049.6
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
5038.8
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
5027.2
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
5021.8
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
4944.8
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
4925.9
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
4910.6
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
4905.9
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
4905.8
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
4898.6
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
4883.5
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
4860.7
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
4847.4
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
4832.9
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
4812.9
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
4803.7
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
4785.9
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
4784.1
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
4712.1
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
4707.9
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
4653.0
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
4634.1
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
4623.5
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
4575.0
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
4562.1
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
4551.8
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
4529.9
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
4525.1
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
4525.1
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
4497.4
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
4495.6
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
4378.1
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
4312.7
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
4311.5
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
4250.0
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
4244.5
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
4214.9
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
4203.2
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
4202.6
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
4201.7
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
4196.7
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
4196.2
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
4151.2
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
4123.8
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
3997.9
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
3984.3
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
3983.0
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
3966.0
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
3961.6
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
3957.0
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
3948.9
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
3940.1
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
3899.3
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
3892.7
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
3860.7
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
3819.8
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
3784.0
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
3782.4
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
3780.9
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
3761.7
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3721.8
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
3701.3
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
3676.6
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
3649.2
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
3641.5
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
3588.3
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
3535.3
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
3533.7
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
3523.4
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
3521.3
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
3514.0
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
3473.7
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
3459.9
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
3447.7
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
3442.2
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
3439.3
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
3437.7
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
3429.3
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
3377.9
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
3361.0
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
3337.6
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
3325.6
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
3234.4
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
3228.6
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
3135.8
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
3131.5
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
3120.0
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
3017.9
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
2977.0
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
2974.5
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
2917.9
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
2883.9
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
2788.1
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
2767.7
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
2705.4
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
2624.9
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
2616.0
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
2582.0
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
2561.4
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
2556.7
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
2500.7
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
2451.0
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
2312.2
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
2289.6
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
2225.1
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
2071.2
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
1991.2
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
1984.6
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
1970.8
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
1969.1
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
1594.8
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1588.3
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
1587.1
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
1118.8
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-ND2 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
9659.8
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
38643.7
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
37630.9
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
27332.9
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25849.0
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
25642.1
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
22180.6
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
20254.5
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
19626.0
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
18898.0
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
18671.0
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
18606.6
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
17817.4
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
14547.1
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
14278.8
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
13623.3
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
13507.3
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
13323.2
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
12522.5
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
12271.2
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
11722.6
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
11532.6
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
11532.6
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
11356.0
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
11279.2
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
11217.0
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
11143.9
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
11026.3
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
10582.3
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
10510.0
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
9937.5
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
9826.8
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
9818.5
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
9713.5
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
9711.7
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
9545.7
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
8961.2
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
8942.9
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
8835.7
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
8821.9
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8738.7
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
8688.8
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
8670.8
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
8655.0
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
8475.0
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
8462.3
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
8168.3
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
8107.9
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
8098.8
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
8029.2
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
7822.5
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
7501.7
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
7169.0
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
7060.5
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
6975.3
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
6933.8
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
6766.6
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
6425.8
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
6337.9
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
6221.2
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
6211.4
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
6126.6
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
5136.4
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
5076.9
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
5021.7
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
4964.7
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
4924.0
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
4758.0
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
4665.4
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
4564.1
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
4443.7
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
4357.9
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
4110.9
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
4008.6
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
3925.6
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
3903.5
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
3293.6
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3220.8
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
3152.9
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3102.0
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
2977.8
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
2838.2
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
2788.9
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
2175.4
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1615.3
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
1409.6
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
1094.2
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
958.2
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-ND2 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
13729.5
Number of samples
207
Samples
Sample
Description
pTPM
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
43223.5
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
42125.3
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
39986.8
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
37140.2
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
34423.6
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
33012.4
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
32276.6
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
31601.6
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
28966.0
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
28949.8
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
27841.2
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
26836.1
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
26222.0
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
25836.8
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
25588.0
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
25411.2
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
24847.5
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
24765.8
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
24418.1
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
24334.7
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
24066.9
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
23539.3
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
23428.5
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
23190.9
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
22695.1
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
22472.7
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
22387.7
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
22335.5
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
22175.3
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
22026.2
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
21909.9
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
21767.0
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
21671.0
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
21453.9
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
21310.5
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
21101.0
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
20861.9
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
20735.1
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
20710.9
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
20560.2
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
20388.9
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
20360.9
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
19847.7
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
19541.8
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
19156.7
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
18564.7
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
18529.3
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
18394.5
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
18315.3
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
18304.1
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
18160.3
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
18079.4
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
17998.1
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
17860.5
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
17815.4
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
17338.8
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
17150.3
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
17143.8
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
16947.1
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
16894.0
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
16741.8
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
16698.5
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
16669.9
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
16578.5
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
16402.5
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
16250.1
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
16216.6
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
16148.4
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
16026.2
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
15995.6
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
15880.5
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
15808.5
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
15687.4
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
15672.2
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
15653.6
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
15647.1
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
15410.9
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
15350.2
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
15047.9
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
15034.3
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
14955.3
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
14925.9
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
14924.1
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
14822.1
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
14781.6
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
14760.0
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
14725.8
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
14567.5
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
14566.5
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
14462.1
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
14304.2
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
14291.8
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
14235.8
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
14098.2
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
14086.4
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
13570.4
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
13558.9
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
13516.1
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
13476.6
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
13200.9
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
13190.5
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
12834.7
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
12812.4
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
12725.0
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
12332.9
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
11551.3
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
11482.7
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
11450.0
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
11171.2
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
11119.4
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
11013.7
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
10793.4
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
10671.8
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
10615.2
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
10584.8
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
10539.1
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
10525.3
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
10478.8
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
10427.4
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
10405.6
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
10396.2
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
10390.0
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
10270.4
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
10231.6
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
10057.3
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
9784.0
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
9757.9
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
9442.5
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
9396.1
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
9369.8
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
9332.8
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
9222.9
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
9207.7
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
9193.7
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
9161.9
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
9136.0
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
8824.7
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
8812.8
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
8746.8
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
8734.8
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
8725.1
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
8584.8
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
8565.7
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
8452.3
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
8370.6
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
8310.5
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
8273.8
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
8245.5
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
8140.6
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
8129.9
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
8050.4
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
8045.7
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
7976.2
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
7947.4
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
7878.4
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
7843.3
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
7777.0
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
7609.1
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
7540.9
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
7540.1
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
7495.0
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
7441.6
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
7377.2
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
7261.3
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
7138.5
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
7022.1
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
6991.2
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
6924.6
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
6868.6
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
6853.9
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
6739.3
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
6621.8
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
6584.6
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
6379.2
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
6291.2
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
6263.4
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
6218.2
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
6179.0
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
6044.3
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
5857.2
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
5839.7
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
5782.2
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
5625.4
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
5624.2
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
5538.5
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
5461.4
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
5152.2
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
4830.1
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
4785.6
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
4623.5
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
4390.2
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
4375.9
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
4231.3
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
3952.2
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
3843.1
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
3825.6
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
3823.8
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
3544.2
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
3535.8
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
3429.7
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
2838.6
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
2796.5
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
2648.2
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
2508.8
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
2372.7
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
2123.0
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
2012.5
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
