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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-ND1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3839.8
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
13674.3
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
12673.2
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
11758.9
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
11058.8
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
10792.9
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
10201.8
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10040.5
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9840.1
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9705.9
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
9352.4
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
8976.8
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
8956.3
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
8837.5
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
8524.1
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
8379.6
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8190.0
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
8172.8
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8155.5
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
8116.2
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
8006.9
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
7995.3
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7984.7
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
7715.3
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
7584.9
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
7512.9
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7468.4
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
7424.0
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
7416.1
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7321.9
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
7319.4
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
7251.2
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
7179.5
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
7084.0
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
6979.1
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
6931.5
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
6807.8
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
6782.5
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
6727.3
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
6571.7
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
6570.9
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
6474.0
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
6277.5
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
6157.0
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
6067.6
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
5919.2
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5850.0
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
5813.9
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
5756.1
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
5731.5
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
5721.9
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
5702.6
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
5691.4
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
5610.4
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
5563.6
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
5492.2
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
5398.1
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
5351.5
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
5307.9
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
5298.9
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
5263.1
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
5256.3
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
5213.0
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
5195.6
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
5126.3
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
5102.5
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
5087.6
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5065.0
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
4974.4
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
4962.0
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
4912.4
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
4905.2
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
4901.7
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
4880.6
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
4869.3
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
4868.4
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
4727.5
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
4680.9
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
4662.5
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
4651.7
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
4636.4
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
4608.5
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
4604.9
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
4528.0
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
4479.3
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
4445.8
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
4441.9
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
4389.6
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
4377.2
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
4333.5
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
4319.1
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
4300.5
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
4281.2
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
4255.4
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
4248.3
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4204.1
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
4109.5
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
4079.4
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4060.6
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
3965.3
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
3948.6
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
3946.6
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
3937.2
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
3918.8
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3918.6
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
3895.2
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
3768.1
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
3764.8
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
3744.4
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
3733.4
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
3732.4
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
3668.9
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
3636.9
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
3611.1
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
3603.8
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
3561.8
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
3555.9
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
3524.9
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
3493.6
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
3491.4
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
3473.4
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
3430.1
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3406.9
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
3404.9
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
3378.5
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
3333.4
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
3289.0
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
3277.0
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
3265.1
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
3262.6
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
3217.4
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
3215.3
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
3203.5
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
3185.3
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3162.9
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
3141.7
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
3131.1
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
3059.5
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
3048.3
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
2968.1
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
2955.3
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
2954.6
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
2942.6
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
2918.8
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
2918.4
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2901.9
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
2882.8
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
2876.7
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2865.4
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
2821.2
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
2818.6
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
2788.5
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
2788.0
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
2766.9
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
2762.5
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
2758.4
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
2698.4
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
2671.9
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
2626.3
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
2611.9
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
2607.6
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
2601.1
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2585.3
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
2544.4
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
2521.2
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2520.5
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2517.0
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
2512.9
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
2512.5
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
2483.5
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
2422.5
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
2399.3
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
2375.9
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
2337.3
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2325.5
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
2313.0
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
2285.5
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
2283.0
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
2272.6
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
2220.5
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
2204.0
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
2199.6
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
2194.8
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
2189.5
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
2168.5
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
2161.9
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
2151.5
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
2149.2
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2140.4
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
2078.3
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
2075.6
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
2072.4
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
1945.8
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
1887.1
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1863.8
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
1849.0
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
1832.2
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
1817.9
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
1809.4
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1784.4
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
1741.3
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
1704.4
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
1686.5
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
1655.3
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
1653.1
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
1637.0
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
1635.8
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
1606.6
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
1595.7
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
1567.7
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1527.4
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
1510.7
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
1490.4
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
1464.8
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
1456.9
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
1455.2
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
1434.7
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
1424.7
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
1371.1
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1338.3
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
1337.4
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
1330.0
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
1319.7
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
1253.8
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
1245.9
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
1158.8
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
1145.1
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
1120.1
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
1112.1
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
972.2
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
936.7
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
928.0
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
895.3
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
877.5
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
861.7
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
846.7
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
840.3
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
786.2
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
728.7
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
689.9
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
682.8
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
662.0
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
624.6
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
589.8
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
525.4
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
511.0
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
468.8
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
423.3
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
371.2
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
305.0
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
224.8
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
204.2
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
115.2
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
107.6
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND1 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
8367.0
Number of samples
486
Samples
Sample
Description
pTPM
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
42309.2
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
37102.5
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
35880.5
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
33146.8
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
30999.6
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
28580.4
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
27016.3
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
26489.6
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
23165.0
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
22826.7
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
22705.7
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
22584.8
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
22369.1
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
21165.8
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
21135.7
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
20580.4
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
20464.9
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
20402.6
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
20392.9
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
20324.8
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
20220.5
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
20206.2
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
20065.9
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
19779.4
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
19556.8
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
19153.6
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
19080.5
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
19015.1
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
19006.9
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
18754.4
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
18383.4
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
18138.9
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
18064.5
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
17970.7
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
17902.7
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
17672.9
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
17520.6
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
17424.7
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
17290.1
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
17211.1
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
17030.1
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
16936.0
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
16643.0
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
16632.8
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
16617.2
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
16515.9
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
16292.6
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
16180.0
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
16139.6
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
16139.4
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
16137.2
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
15874.7
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
15806.1
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
15661.2
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
15610.6
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
15402.2
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
15376.4
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
15209.7
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
15168.0
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
15073.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
15001.1
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
14893.7
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
14844.3
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
14648.9
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
14600.4
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
14458.1
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
14329.3
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
14281.4
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
14220.4
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
14156.4
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
13971.5
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
13943.7
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
13830.8
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
13792.0
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
13701.0
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
13677.0
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
13588.4
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
13581.6
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
13566.5
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
13407.3
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
13373.9
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
13368.6
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
13189.8
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
13184.1
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
13155.8
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
12999.0
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
12869.2
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
12721.0
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
12701.5
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
12640.6
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
12639.2
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
12557.9
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
12513.7
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
12511.6
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
12408.8
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
12364.1
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
12351.7
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
12347.9
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
12316.3
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
12239.8
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
12206.6
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
12124.7
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
12051.6
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
12014.5
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
11956.5
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
11882.0
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
11866.0
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
11831.3
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
11715.6
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
11652.1
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
11587.2
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
11564.1
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
11478.6
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
11381.3
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
11347.3
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
11296.5
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
11292.9
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
11198.3
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
11180.5
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
11161.5
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
11137.1
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
11029.5
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
11029.1
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
11024.2
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
11020.2
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
10972.0
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
10929.7
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
10842.4
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
10839.3
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
10806.8
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
10662.7
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
10655.3
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
10596.0
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
10584.2
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
10527.5
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
10516.4
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
10352.9
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
10344.9
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
10342.3
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
10320.9
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
10182.7
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
10143.5
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
10141.2
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
10135.1
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
10077.9
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
10038.5
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
9897.8
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
9830.9
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
9777.9
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
9774.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
9754.9
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
9679.6
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
9678.1
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
9642.4
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
9595.6
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
9558.1
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
9460.1
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
9449.8
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
9338.3
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
9337.8
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
9322.2
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
9317.5
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
9291.3
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
9279.8
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
9243.7
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
9239.1
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
9164.5
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
9151.6
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
9122.0
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
9070.5
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
9033.4
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
9026.6
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
8956.9
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
8932.1
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
8873.3
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
8818.3
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
8802.3
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
8800.0
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
8780.5
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
8773.8
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
8675.3
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
8673.7
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
8654.4
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
8616.8
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
8564.0
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
8538.3
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
8487.8
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
8465.1
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
8448.5
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
8436.5
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
8433.0
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
8426.0
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
8308.7
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
8184.7
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
8184.6
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
8133.9
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
8035.7
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
8019.0
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
8005.8
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
8005.1
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
7998.9
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
7994.9
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
7975.8
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
7920.4
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
7677.9
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
7663.9
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
7661.6
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
7654.4
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
7556.1
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
7477.0
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
7476.6
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
7468.2
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
7465.5
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
7443.9
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
7433.7
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
7423.2
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
7374.2
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
7302.4
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
7299.8
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
7273.3
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
7272.3
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
7216.1
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
7112.8
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
7062.7
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
6954.5
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
6903.9
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
6901.0
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
6851.8
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
6845.8
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
6832.2
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
6831.5
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
6821.2
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
6806.7
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
6797.3
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
6764.7
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
6756.3
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
6739.4
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
6699.5
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
6657.2
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
6650.2
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
6641.6
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
6633.4
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
6594.2
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
6563.5
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
6513.1
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
6479.7
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
6464.1
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
6443.7
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
6415.5
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
6399.0
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
6398.5
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
6373.4
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
6358.2
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
6276.7
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
6254.4
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
6245.2
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
6205.8
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
6148.7
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
6147.4
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
6147.1
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
6136.6
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
6133.1
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
6128.3
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
6112.3
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
6099.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
6093.7
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
6065.6
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
6021.9
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
6016.2
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
5997.3
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
5995.8
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
5993.9
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
5982.1
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
5957.4
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
5933.0
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
5910.4
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
5814.9
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
5791.4
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
5789.5
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
5752.2
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
5717.1
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
5712.4
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
5699.7
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
5699.1
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
5679.6
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
5671.2
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
5650.0
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
5643.8
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
5635.0
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
5579.9
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
5568.2
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
5563.8
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
5556.3
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
5542.4
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
5526.0
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
5521.3
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
5518.4
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
5516.5
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
5514.1
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
5511.0
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
5466.9
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
5452.3
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
5428.3
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
5380.7
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
5378.3
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
5371.6
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
5358.4
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
5337.8
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
5320.7
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
5314.1
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
5295.5
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
5275.7
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
5260.5
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
5251.1
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
5229.1
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
5209.2
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
5207.9
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
5201.5
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
5185.9
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
5179.9
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
5178.2
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
5166.2
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
5165.0
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
5064.3
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
5048.9
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
5035.7
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
5029.7
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
5000.0
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
4988.0
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
4958.1
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
4949.8
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
4926.7
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
4897.7
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
4864.3
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
4837.5
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
4812.5
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
4790.9
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
4775.5
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
4767.4
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
4761.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
4755.2
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
4724.6
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
4682.6
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
4660.1
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
4646.3
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
4636.9
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
4626.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
4618.6
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
4614.5
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
4602.5
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
4590.0
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
4586.6
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
4556.5
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
4552.8
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
4547.0
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
4546.6
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
4534.7
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
4525.9
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
4520.0
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
4512.7
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
4506.5
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
4490.3
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
4479.9
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
4448.8
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
4441.3
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
4361.1
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
4359.7
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
4281.9
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
4281.2
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
4280.8
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
4252.1
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
4246.3
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
4239.3
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
4234.9
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
4214.9
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
4211.1
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
4209.0
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
4204.2
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
4204.1
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
4174.3
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
4129.6
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
4115.8
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
4084.6
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
4074.1
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
4066.0
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
4060.6
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
4009.9
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
3996.3
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
3986.6
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
3982.6
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
3926.5
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
3925.4
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
3865.1
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
3820.5
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
3812.4
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
3791.7
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
3770.9
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
3763.8
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
3762.2
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
3729.3
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
3695.7
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
3606.7
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
3573.3
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
3539.5
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
3537.3
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
3535.4
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
3528.4
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
3518.9
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
3497.1
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
3421.5
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
3392.4
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
3387.8
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
3378.4
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
3371.6
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
3368.1
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
3312.0
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
3309.8
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
3274.9
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
3203.5
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
3157.1
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
3109.3
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
3105.2
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
3092.5
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
3086.1
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
3073.6
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
3063.9
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
3060.3
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3054.1
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
3043.9
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
3029.1
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
2974.4
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
2950.5
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
2931.7
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
2904.4
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
2858.9
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
2848.8
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
2822.4
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
2782.0
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
2766.8
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
2724.7
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
2715.7
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
2675.6
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
2648.9
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
2569.0
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
2556.7
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
2537.9
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
2437.6
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
2401.9
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
2389.8
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
2379.7
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
2366.8
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
2358.2
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
2297.2
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
2295.1
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
2228.9
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
2220.3
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
2152.6
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
2128.6
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
2117.5
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
2102.8
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
2086.2
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
2081.9
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
2065.3
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
2056.4
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
2032.6
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
2019.9
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
1989.4
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
1942.4
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
1908.9
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
1866.1
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
1688.5
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
1559.8
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
1529.5
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
1522.3
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1460.5
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
1440.9
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
1365.1
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
1255.0
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
1229.8
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
1132.1
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
1131.4
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
1095.6
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
928.4
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
890.8
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
880.2
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-ND1 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
4587.2
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
16012.5
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
15698.9
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15315.1
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
15068.6
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
13801.8
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
12974.3
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
9729.7
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
9268.2
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
8951.7
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
8924.8
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
8757.1
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
8715.4
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
7861.4
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
7529.7
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
7250.5
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
6866.2
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
6585.1
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
6301.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
5928.0
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
5701.8
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
5576.1
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
5520.9
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
5436.8
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5431.1
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
5284.6
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
5229.3
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
5051.4
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
4890.9
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
4790.2
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
4701.6
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
4607.5
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
4555.9
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
4555.6
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
4543.8
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
4522.3
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
4183.4
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
4178.2
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
4126.1
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
4075.7
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
3941.5
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
3854.0
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
3747.8
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
3734.6
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
3607.2
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
3580.4
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
3580.2
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
3574.3
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
3507.2
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
3479.6
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
3327.1
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
3303.9
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
3190.0
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
3048.2
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
3047.7
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
2896.8
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
2870.1
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
2811.9
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
2746.5
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
2745.4
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
2681.3
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
2680.9
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
2635.2
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
2559.2
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
2420.0
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
2232.7
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
2216.6
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
2064.9
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
1991.1
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
1983.3
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
1963.5
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
1962.0
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
1860.6
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
1823.3
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
1813.4
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
1757.2
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
1692.7
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
1678.3
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
1509.2
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
1357.9
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
1322.8
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
1082.6
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
977.5
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
976.8
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
912.0
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
898.3
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
779.7
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
417.5
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 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-ND1 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
12264.2
Number of samples
207
Samples
Sample
Description
pTPM
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
44214.8
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
37587.5
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
36087.7
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
35016.8
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
34761.8
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
33001.1
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
32025.9
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
31753.4
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
29759.4
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
28510.9
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
27937.4
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
27593.9
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
26743.4
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
25899.9
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
25762.1
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
25050.8
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
25047.6
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
25022.9
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
24751.4
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
22880.1
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
22594.8
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
22525.1
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
22476.4
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
22375.3
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
21605.4
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
21240.4
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
21111.6
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
21091.2
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
20022.3
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
19174.2
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
18783.5
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
18782.4
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
18711.9
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
18554.8
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
18285.9
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
18165.8
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
18063.2
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
17801.2
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
17743.5
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
17415.0
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
17396.8
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
17389.0
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
17176.7
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
17035.1
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
16835.8
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
16826.5
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
16758.2
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
16549.0
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
16383.1
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
16327.6
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
16151.8
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
15761.5
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
15738.4
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
15668.0
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
15616.8
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
15525.2
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
15276.7
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
15218.1
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
15203.2
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
15162.3
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
15056.1
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
14671.7
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
14587.6
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
14491.9
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
14460.1
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
14431.0
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
14400.4
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
14384.3
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
14313.8
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
14069.2
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
13914.3
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
13797.9
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
13535.3
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
13504.5
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
13182.1
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
13172.0
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
13034.8
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
12827.7
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
12675.9
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
12581.6
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
12415.7
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
12377.7
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
12338.3
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
12266.7
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
12004.9
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
12002.7
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
11813.3
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
11793.3
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
11610.7
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
11483.7
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
11382.1
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
11281.1
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
11267.9
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
11260.1
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
11080.8
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
10975.7
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
10947.0
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
10813.1
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
10775.8
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
10683.2
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
10623.5
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
10604.3
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
10583.8
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
10500.0
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
10473.9
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
10441.7
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
10405.4
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
10349.3
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
10245.7
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
10136.6
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
9939.0
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
9922.3
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
9791.3
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
9711.9
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
9694.6
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
9677.4
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
9639.0
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
9601.4
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
9561.2
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
9523.7
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
9451.1
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
9388.3
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
9150.1
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
9089.6
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
8757.0
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
8595.6
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
8462.2
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
8259.6
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
8216.0
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
8110.6
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
8055.8
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
8042.2
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
8035.7
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
7984.4
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
7952.8
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
7821.7
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
7779.3
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
7736.6
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
7693.4
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
7622.9
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
7570.2
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
7435.4
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
7223.6
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
7190.3
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
7179.4
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
7095.2
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
7027.5
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
7017.1
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
7003.4
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
6972.5
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
6900.3
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
6785.5
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
6742.0
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
6718.5
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
6713.0
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
6611.1
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
6524.9
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
6430.7
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
6382.5
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
6335.1
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
6313.0
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
6234.8
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
5982.6
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
5978.0
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
5957.8
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
5945.4
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
5920.9
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
5897.7
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
5844.8
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
5755.0
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
5701.0
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
5696.1
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
5654.6
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
5612.6
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
5415.9
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
5351.2
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
5350.9
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
5316.4
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
5161.9
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
4927.1
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
4915.4
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
4910.2
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
4867.1
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
4781.7
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
4699.6
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
4674.0
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
4622.8
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
4592.8
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
4479.1
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
4418.4
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
4170.9
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
3853.2
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
3494.7
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
3292.3
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
3286.4
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
3170.1
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
3159.3
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
2893.3
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
2485.8
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
2447.1
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
2445.2
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
2276.0
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
1793.1
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
1650.7
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
1543.2
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
1481.9
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
1181.5
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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
