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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.
RPS6 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
4644.5
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
14302.7
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
11111.5
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
10489.6
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10305.9
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
10056.3
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
9578.5
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
9578.1
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
9576.6
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
9046.1
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
9028.8
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
9027.3
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
8981.8
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8728.3
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
8646.2
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
8361.1
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8286.4
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
8258.5
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
8226.0
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
8056.8
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
7708.7
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
7509.6
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
7439.6
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
7381.9
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
7371.4
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
7275.5
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
7263.0
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
7226.0
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
7087.9
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
7073.0
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
7069.2
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
7024.1
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6981.6
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
6963.8
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
6900.9
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
6775.7
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
6670.2
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
6660.0
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
6598.7
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
6556.8
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
6517.5
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
6447.3
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
6355.4
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
6352.3
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
6331.2
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
6303.5
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
6300.6
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
6144.8
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
6119.9
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
6117.3
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
5965.7
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
5868.8
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
5864.8
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
5819.8
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
5786.5
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
5785.1
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
5652.5
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
5627.4
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
5602.1
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5583.8
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
5521.9
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
5515.1
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
5487.7
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
5482.1
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
5446.7
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5441.0
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
5370.0
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
5345.4
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
5284.2
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
5188.0
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
5187.5
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
5166.5
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
5084.7
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
5044.7
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
5035.1
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
5028.7
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
4994.3
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
4993.5
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
4979.5
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
4976.6
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
4920.3
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
4910.9
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
4891.4
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
4859.7
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
4853.7
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
4853.1
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
4853.0
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
4849.0
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
4826.9
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
4819.4
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
4796.1
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
4765.9
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
4756.6
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
4751.4
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
4746.8
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
4736.1
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4730.0
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
4727.8
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
4726.1
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
4692.5
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
4689.2
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
4675.5
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
4674.9
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
4639.4
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
4624.3
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
4622.0
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
4617.4
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
4604.9
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4594.3
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
4577.4
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
4547.6
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
4538.9
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
4467.6
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4397.0
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
4394.4
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
4388.0
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
4375.4
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
4369.6
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
4358.6
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
4317.0
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
4292.6
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4281.8
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
4281.7
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
4275.5
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
4262.0
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
4256.4
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4241.1
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
4209.6
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
4195.9
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
4114.3
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
4105.7
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
4098.9
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
4093.3
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
4091.5
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
4064.4
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
4059.2
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
4042.3
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
4039.8
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
4025.5
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
3987.3
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
3959.9
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
3956.0
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
3948.1
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3944.7
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
3934.3
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3933.9
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
3931.3
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3912.8
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3908.7
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
3859.4
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
3826.9
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
3824.8
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
3820.0
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
3818.2
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
3808.9
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
3797.4
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
3778.9
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
3775.6
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
3772.4
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
3771.5
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
3769.9
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
3768.7
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
3768.0
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
3748.2
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
3744.8
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
3740.2
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
3734.7
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
3724.9
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
3724.4
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
3676.3
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3669.1
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
3661.8
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
3659.5
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
3647.3
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
3635.4
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
3606.7
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
3600.8
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
3594.3
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
3578.8
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
3568.1
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3558.1
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
3553.3
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
3550.9
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
3544.5
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
3525.7
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
3499.1
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
3498.9
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
3483.1
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
3460.5
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
3458.6
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3456.2
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
3455.6
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
3427.1
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
3381.7
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
3328.4
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
3298.9
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
3204.9
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3180.8
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
3103.9
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3088.3
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
3064.1
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3053.3
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
3043.2
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3036.6
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
3021.8
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
3019.7
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
3016.5
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
2988.5
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
2984.9
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
2975.3
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
2972.8
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
2971.5
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
2965.2
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
2962.7
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
2958.9
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
2957.8
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
2940.1
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
2938.3
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
2921.1
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
2914.7
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
2914.5
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
2889.9
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
2878.8
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
2840.6
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2840.4
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
2771.2
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
2764.1
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
2754.0
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
2740.6
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
2693.5
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2687.3
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
2680.6
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
2668.7
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
2645.8
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
2625.6
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
2619.8
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
2604.3
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
2600.2
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
2573.3
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
2573.2
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
2513.9
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
2505.1
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2451.8
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
2437.8
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
2331.4
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
2292.9
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
2236.8
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
2212.4
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
1869.4
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
1867.5
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
1834.7
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
1829.4
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
1812.7
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
1497.4
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 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.
RPS6 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
2415.1
Number of samples
486
Samples
Sample
Description
pTPM
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
6203.1
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
5799.4
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
5466.5
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
5294.6
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
5267.9
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
5186.6
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
4874.0
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
4817.8
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
4744.3
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
4506.5
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
4486.2
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
4417.1
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
4381.4
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
4254.5
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
4231.7
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
4203.9
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
4198.1
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
4185.7
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
4146.8
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
4098.2
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
4063.3
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
4029.5
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
3934.2
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
3900.9
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
3891.9
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
3870.0
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
3862.7
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
3861.0
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
3793.1
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
3778.3
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
3743.8
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
3736.2
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
3726.5
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
3707.9
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
3680.8
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
3677.2
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
3666.8
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
3641.6
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
3583.4
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
3545.0
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
3540.9
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
3530.8
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
3528.1
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
3523.5
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
3515.1
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
3504.8
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
3457.3
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
3456.7
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
3454.3
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
3440.8
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
3428.2
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
3382.4
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
3381.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
3365.0
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
3361.9
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
3341.0
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
3309.1
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
3308.5
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
3303.2
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
3293.7
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
3288.5
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
3272.7
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
3265.1
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
3262.9
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
3262.0
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
3256.6
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
3252.1
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
3234.2
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
3227.5
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
3226.7
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
3226.4
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
3216.6
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3211.8
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
3200.4
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
3191.1
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
3175.6
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
3175.1
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
3132.1
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
3122.8
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
3114.7
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
3096.7
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
3083.5
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
3080.9
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
3066.3
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
3064.6
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
3050.6
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
3048.5
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
3047.4
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
3047.3
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
3045.2
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
3030.9
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
3025.1
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
3016.6
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
3012.5
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
3011.5
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
3010.2
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
3008.8
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
3008.6
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
3003.4
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3003.3
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
2998.9
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
2993.4
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
2991.5
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
2985.9
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
2975.3
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
2970.5
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
2967.8
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
2966.1
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
2964.8
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
2960.2
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
2953.5
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
2950.9
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
2948.9
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
2947.6
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
2945.6
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
2943.9
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
2935.5
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
2935.2
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
2932.7
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
2924.7
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
2924.6
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
2921.2
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
2900.1
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
2899.3
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
2883.4
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
2876.0
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
2874.9
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
2873.3
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
2864.5
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
2860.6
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
2852.3
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
2842.2
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
2839.6
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
2836.1
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
2835.3
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
2832.4
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
2830.2
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
2824.0
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
2820.5
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
2815.5
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
2801.8
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
2799.7
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
2793.2
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
2788.5
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
2752.6
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
2752.0
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
2751.9
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
2745.9
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
2740.3
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
2736.3
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
2724.9
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
2713.3
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
2712.6
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
2704.8
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
2704.7
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
2699.4
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
2694.1
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
2679.4
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
2670.9
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
2666.6
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
2666.2
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
2663.4
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
2643.7
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
2641.4
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
2640.9
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
2637.7
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
2630.2
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
2627.1
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
2627.0
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
2625.5
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
2608.6
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
2607.5
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
2605.4
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
2578.8
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
2578.8
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
2572.5
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
2562.0
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
2560.0
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
2552.5
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
2551.4
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
2551.3
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
2550.3
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
2548.4
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
2544.4
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
2539.5
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
2535.3
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
2535.1
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
2535.0
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
2519.2
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
2517.5
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
2516.0
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
2515.1
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
2514.7
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
2514.6
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
2511.5
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
2503.8
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
2503.3
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
2493.8
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
2488.3
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
2486.9
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
2482.8
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
2472.2
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
2465.5
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
2464.5
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
2454.7
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
2452.9
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
2451.8
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
2448.4
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
2442.0
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
2440.8
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
2436.7
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
2421.6
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
2406.9
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
2398.8
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
2397.3
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
2393.1
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
2390.2
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
2389.0
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
2387.9
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
2382.5
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
2373.9
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
2373.4
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
2372.3
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
2371.4
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
2359.4
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
2358.4
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
2357.9
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
2357.4
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
2357.1
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
2349.6
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
2347.2
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
2344.1
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
2340.9
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
2337.9
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
2336.7
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
2329.5
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
2325.5
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
2319.3
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
2315.6
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
2313.5
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
2306.5
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
2303.4
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
2299.3
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
2296.0
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
2285.7
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
2275.0
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
2267.7
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
2267.6
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
2267.5
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
2267.1
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
2264.6
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
2264.3
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
2258.1
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
2249.1
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
2247.4
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
2247.2
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
2242.7
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
2230.9
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
2227.0
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
2222.4
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
2217.8
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
2217.1
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
2207.4
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
2204.8
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
2203.3
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
2197.8
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
2191.4
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
2189.3
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
2189.0
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
2187.1
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
2186.2
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
2177.7
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
2174.0
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
2173.8
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
2167.5
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
2157.7
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
2153.0
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
2151.5
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
2148.0
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
2144.6
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
2144.2
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
2139.6
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
2134.8
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
2130.8
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
2124.9
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
2118.8
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
2118.8
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
2115.5
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
2113.8
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
2111.9
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
2107.6
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
2105.5
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
2103.4
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
2096.3
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
2093.8
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
2093.6
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
2080.8
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
2080.4
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
2078.7
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
2075.6
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
2074.4
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
2068.6
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
2063.2
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
2056.5
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
2055.3
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
2054.4
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
2053.4
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
2049.3
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
2040.9
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
2018.4
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
2017.3
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
2014.6
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
2013.8
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
2007.1
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
2002.7
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
2002.2
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
1998.0
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
1994.6
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
1992.7
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
1990.6
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
1987.5
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
1987.2
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
1985.7
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
1975.6
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
1970.4
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
1970.1
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
1967.6
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
1965.5
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
1964.8
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
1961.7
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
1947.1
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
1934.6
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
1927.6
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
1920.7
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
1914.6
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
1913.2
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
1912.6
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
1909.6
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
1909.1
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
1899.9
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
1899.0
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
1898.0
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
1897.6
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
1876.4
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
1876.2
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
1875.0
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
1865.6
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
1862.8
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
1862.2
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
1851.7
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
1848.3
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
1847.7
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
1846.5
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
1836.6
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
1835.2
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
1834.9
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
1831.8
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
1831.1
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
1823.1
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
1817.6
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
1815.5
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
1805.9
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
1799.5
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
1797.5
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
1794.3
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
1792.9
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
1788.7
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
1787.8
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
1787.2
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
1786.3
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
1786.3
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
1780.0
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
1779.5
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
1779.4
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
1776.7
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
1770.3
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
1770.2
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
1768.6
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
1754.3
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
1753.3
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
1752.5
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
1751.3
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
1748.0
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
1748.0
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
1747.1
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
1744.8
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
1743.8
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
1743.1
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
1731.1
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
1726.4
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
1726.0
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
1720.0
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
1717.9
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
1713.4
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
1712.0
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
1706.8
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
1703.4
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
1701.6
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
1694.5
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
1690.6
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
1690.4
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
1688.3
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
1688.0
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
1679.8
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
1678.7
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
1678.6
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
1678.6
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
1677.5
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
1663.5
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
1661.6
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
1656.5
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
1654.8
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
1653.3
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
1646.6
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
1645.1
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
1639.7
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
1639.3
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
1634.7
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
1634.3
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
1627.8
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
1616.6
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
1607.5
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
1605.5
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
1604.1
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
1603.9
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
1603.4
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
1592.5
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
1588.8
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
1584.2
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
1581.2
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
1580.4
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
1572.2
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
1571.2
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
1562.7
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
1561.2
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
1559.0
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
1555.9
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
1551.6
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
1548.8
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
1547.5
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
1523.2
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
1512.5
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
1495.4
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
1482.8
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
1475.4
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
1468.8
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
1465.6
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
1458.1
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
1453.4
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
1450.5
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
1432.8
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
1407.1
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
1388.8
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
1388.0
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
1384.7
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
1376.4
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
1366.4
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
1356.5
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
1344.8
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
1337.5
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
1327.5
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
1321.9
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
1294.6
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
1275.1
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
1274.6
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
1257.3
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
1246.3
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
1245.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
1229.8
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
1226.1
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
1224.9
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
1221.0
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
1218.7
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
1213.4
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
1188.2
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
1175.1
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
1142.7
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
1091.5
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
1086.6
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
1083.3
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
1051.2
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
1011.8
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
988.2
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
979.7
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
608.2
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 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.
RPS6 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
5088.8
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
17052.2
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
13555.6
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
11712.3
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
9184.6
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
8839.3
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
8584.0
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
8313.5
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
8252.2
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
7797.9
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
7770.9
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
7725.1
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
7639.7
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
7346.7
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
7062.3
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
6995.2
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6854.0
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
6801.6
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
6647.8
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
6628.0
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
6540.9
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
6350.3
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
6248.2
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
6174.7
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
6027.6
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
5918.4
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
5860.5
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
5769.5
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
5603.1
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
5525.1
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
5488.7
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
5380.2
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
5293.8
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
5268.4
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
5141.0
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
5122.1
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
5102.8
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
5083.4
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
5081.2
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
4813.6
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
4730.4
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
4599.5
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
4592.8
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
4537.4
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
4527.4
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
4510.1
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
4505.4
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
4487.8
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
4467.0
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
4433.5
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
4344.9
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
4331.5
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
4249.4
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
4207.4
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
4125.7
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
4108.6
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
4073.8
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
3995.3
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
3900.7
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3842.9
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
3759.1
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
3620.9
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
3563.5
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
3486.9
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3466.6
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
3464.6
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
3443.5
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
3406.1
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
3391.1
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
3381.5
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
3373.2
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
3370.2
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
3245.6
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
3100.2
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
3082.3
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
3072.2
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
2965.4
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
2935.5
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
2860.4
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
2849.8
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
2847.4
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
2823.0
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
2787.3
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
2385.9
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
2275.3
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
2044.2
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
1987.5
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
852.9
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS6 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
2049.1
Number of samples
207
Samples
Sample
Description
pTPM
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
5673.8
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
5529.5
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
5144.9
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
4496.9
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
4453.0
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
4066.8
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
3765.8
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
3551.2
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
3524.1
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
3307.2
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
3305.7
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
3264.8
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
3256.1
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
3177.6
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
3165.9
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
3092.6
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
3079.3
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
3071.3
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
3066.0
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
3049.8
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
3025.1
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
3010.9
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
3002.4
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
2963.9
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
2947.4
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
2899.2
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
2895.4
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
2889.3
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
2880.6
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
2814.8
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
2775.9
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
2772.9
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
2735.1
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
2720.0
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
2694.1
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
2683.1
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
2645.5
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
2602.2
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
2591.7
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
2589.2
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
2572.4
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
2571.1
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
2562.4
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
2549.0
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
2540.7
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
2529.8
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
2528.4
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
2511.1
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
2504.8
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
2479.2
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
2470.8
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
2452.1
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
2429.4
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
2426.1
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
2381.2
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
2370.0
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
2369.4
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
2363.7
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
2353.3
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
2327.6
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
2323.6
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
2318.2
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
2314.7
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
2310.0
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
2300.7
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
2298.8
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
2276.6
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
2276.4
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
2261.3
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
2256.4
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
2233.6
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
2220.5
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
2181.7
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
2171.9
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
2166.6
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
2148.8
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
2123.3
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2115.9
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
2112.3
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
2110.1
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
2095.7
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
2085.1
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
2075.9
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
2058.2
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
2056.4
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
2039.9
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
2033.8
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
2028.0
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
2016.0
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
2004.9
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
1982.1
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
1982.1
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
1978.2
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
1972.5
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
1959.3
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
1954.7
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
1946.7
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
1940.9
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
1940.3
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
1932.2
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
1924.8
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
1923.7
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
1915.9
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
1912.2
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
1908.1
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
1893.0
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
1877.2
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
1863.0
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
1857.8
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
1852.3
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
1849.1
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
1848.7
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
1845.1
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
1832.4
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
1805.8
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
1800.0
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
1769.5
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
1761.7
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
1757.0
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
1747.4
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
1738.4
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
1734.1
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
1725.0
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
1720.8
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
1714.2
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
1708.7
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
1696.8
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
1695.4
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
1691.4
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
1676.8
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
1675.7
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
1668.2
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
1653.1
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
1646.6
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
1645.6
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
1639.7
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
1630.7
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
1609.5
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
1605.1
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
1603.4
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
1599.4
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
1586.0
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
1578.2
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
1575.3
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
1574.7
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
1569.7
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
1565.2
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
1558.6
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
1555.8
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
1552.7
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
1535.2
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
1530.3
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
1525.0
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
1513.6
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
1509.9
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
1499.1
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
1488.1
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1474.3
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
1463.9
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
1456.7
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
1438.8
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
1433.2
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
1430.9
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
1426.6
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
1422.2
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
1422.0
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
1421.2
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
1417.6
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
1415.0
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
1413.5
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
1407.1
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
1389.4
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
1369.9
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
1363.0
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
1354.6
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
1342.4
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1337.0
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1331.5
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
1330.3
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
1326.4
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
1323.2
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
1321.2
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
1314.5
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
1306.9
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
1298.7
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
1298.6
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1285.1
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
1267.8
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
1243.2
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
1232.8
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
1184.9
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
1174.3
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
1171.1
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
1170.5
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
1140.2
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
1135.2
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
1133.5
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
1106.0
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
1045.1
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
1032.6
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1029.1
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
992.0
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
988.3
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
946.2
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
912.2
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
908.7
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
213.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
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
