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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.
GAPDH 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
4614.1
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
13013.4
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
11293.0
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
11027.9
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
10432.9
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
9760.1
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
9272.0
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
8884.4
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
8666.1
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
8664.8
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
8607.7
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
8577.0
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
8392.0
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
8137.4
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
8114.4
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
8016.8
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
7958.3
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
7885.1
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
7679.5
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
7641.9
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
7570.6
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7396.8
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
7239.9
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
7067.1
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
6918.3
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
6878.0
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6868.4
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
6809.8
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
6768.6
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
6647.1
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
6635.4
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
6571.1
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
6514.1
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
6500.3
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
6400.8
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
6399.9
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
6394.0
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
6392.6
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
6367.7
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
6356.0
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
6346.9
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
6289.2
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6252.2
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
6239.5
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
6233.3
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
6213.2
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
6184.7
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
6176.1
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
6131.4
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6115.6
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
6101.2
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
5999.7
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
5996.3
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
5957.6
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
5880.4
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
5858.5
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
5846.4
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
5805.1
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
5769.8
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
5750.3
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
5711.3
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
5707.1
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
5683.6
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
5680.0
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5665.8
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
5635.8
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
5532.6
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
5449.9
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
5444.3
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
5436.3
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
5428.6
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5400.8
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
5351.8
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
5331.1
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
5291.2
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
5258.5
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
5243.3
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
5164.5
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
5161.1
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
5149.1
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
5146.0
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
5143.9
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
5141.1
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
5118.6
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
5116.1
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
5109.2
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
5077.0
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
5073.5
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
5056.2
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
5036.9
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
5020.0
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
5010.1
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
4956.8
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
4944.8
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
4921.8
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
4892.6
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
4886.0
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
4858.0
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4834.9
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
4761.5
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
4714.4
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
4675.9
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
4646.6
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
4639.6
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
4599.4
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
4584.8
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
4561.2
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
4531.9
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
4517.4
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
4511.4
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
4464.3
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
4451.4
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
4376.3
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
4367.3
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
4351.3
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4342.6
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
4335.3
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
4327.9
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
4326.1
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
4273.4
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
4268.8
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
4266.6
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
4266.4
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
4243.2
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
4229.7
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
4227.3
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
4224.3
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
4192.8
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
4182.0
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
4176.9
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
4173.2
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
4153.1
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
4152.6
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
4145.9
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
4108.1
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4090.9
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
4084.1
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
4073.5
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
4061.2
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
4031.9
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
4025.8
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4016.8
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4016.3
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
4009.4
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
3974.0
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
3963.8
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
3963.2
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
3887.8
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
3869.7
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
3862.5
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
3860.8
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
3860.0
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
3836.8
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
3808.5
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
3799.3
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
3786.5
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
3786.4
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
3778.0
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
3750.2
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
3737.2
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
3733.8
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
3728.0
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
3726.0
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
3716.6
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
3712.6
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
3683.2
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
3682.3
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
3673.9
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
3662.1
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
3625.7
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
3602.1
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
3599.5
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
3597.9
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
3582.1
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
3553.0
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
3542.6
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
3536.1
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
3533.8
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
3486.9
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
3477.5
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
3465.4
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
3451.2
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
3436.7
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
3427.2
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3419.9
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
3413.5
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
3409.6
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3402.6
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
3396.4
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
3365.0
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3358.2
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
3340.7
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
3317.9
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
3298.5
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
3286.2
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
3284.9
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
3273.6
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
3263.2
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3253.8
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
3210.2
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
3202.2
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
3198.9
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
3190.0
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
3157.8
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
3147.5
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
3113.5
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
3106.4
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
3105.2
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
3090.4
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
3064.9
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
3048.7
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3008.8
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
2991.5
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2990.8
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
2956.7
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
2939.9
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
2930.2
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
2911.9
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2884.6
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
2877.7
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
2859.1
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
2857.4
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
2842.7
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
2784.8
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
2781.2
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
2781.1
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
2756.7
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
2749.9
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
2734.9
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
2731.7
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
2697.5
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
2659.7
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
2649.1
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
2619.6
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
2618.8
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
2588.4
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
2502.3
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
2494.9
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
2419.5
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2415.8
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
2407.9
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
2382.1
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
2375.9
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
2362.0
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
2302.3
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
2263.0
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2212.7
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2206.2
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
2179.8
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2072.2
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
1843.8
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
1708.8
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
1638.5
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
1414.5
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 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.
GAPDH 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
3550.8
Number of samples
486
Samples
Sample
Description
pTPM
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
10557.9
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
10536.0
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
8640.8
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
8395.5
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
7935.3
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
7907.8
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
7216.6
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
7138.2
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
6968.8
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
6928.2
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
6906.6
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
6864.1
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
6597.4
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
6595.6
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
6579.1
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
6541.9
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
6506.3
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
6392.4
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
6295.9
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
6166.7
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
6151.6
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
6106.0
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
6082.4
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
6077.4
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
6046.2
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
6024.7
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
5955.4
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
5918.1
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
5891.1
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
5845.0
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
5789.5
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
5712.5
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
5691.0
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
5674.8
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
5604.0
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
5557.6
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
5556.8
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
5478.9
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
5444.9
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
5431.4
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
5423.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
5403.5
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
5339.8
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
5338.6
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
5323.2
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
5297.1
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
5279.5
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
5274.9
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
5256.6
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
5256.4
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
5240.6
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
5238.2
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
5208.7
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
5196.4
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
5179.5
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
5172.0
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
5165.1
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
5162.6
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
5130.9
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
5126.3
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
5125.9
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
5124.2
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
5122.0
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
5120.9
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
5100.0
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
5084.2
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
5075.9
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
5065.4
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
5060.1
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
5046.3
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
5027.2
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
5020.4
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
5020.4
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
4998.3
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
4997.4
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
4993.6
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
4989.8
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
4986.6
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
4980.4
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
4952.2
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
4947.5
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
4907.0
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
4902.6
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
4899.3
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
4896.6
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
4881.4
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
4872.3
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
4856.3
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
4849.6
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
4849.6
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
4836.1
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
4812.3
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
4786.0
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
4776.5
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
4745.7
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
4734.6
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
4709.4
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
4705.9
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
4669.9
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
4665.0
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
4664.0
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
4659.5
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
4628.2
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
4612.3
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
4591.1
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
4589.7
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
4587.0
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
4578.3
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
4575.4
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
4574.5
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
4569.3
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
4549.3
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
4545.5
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
4539.5
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
4513.6
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
4486.8
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
4473.1
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
4464.6
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
4454.9
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
4452.6
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
4441.6
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
4438.9
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
4425.3
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
4425.1
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
4423.4
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
4374.0
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
4347.4
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
4314.6
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
4295.9
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
4284.9
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
4278.1
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
4273.1
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
4269.5
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
4264.6
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
4261.1
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
4252.0
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
4248.6
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
4232.7
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
4232.6
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
4221.4
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
4219.6
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
4203.9
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
4182.2
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
4181.0
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
4166.9
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
4164.8
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
4151.4
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
4128.0
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
4127.9
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
4121.5
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
4110.2
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
4104.4
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
4101.3
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
4087.8
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
4078.1
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
4073.5
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
4065.8
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
4059.2
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
4029.7
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
4028.8
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
4025.7
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
4021.7
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
4019.6
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
4016.7
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
4016.3
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
4011.1
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
4011.0
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
4002.7
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
3997.8
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
3983.6
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
3974.3
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
3971.5
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
3960.9
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
3960.6
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
3951.9
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
3948.5
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
3947.1
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
3938.4
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
3916.9
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
3887.5
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
3864.5
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
3864.4
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
3852.7
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
3851.0
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
3830.6
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
3826.1
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
3824.3
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
3793.9
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
3772.6
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
3762.7
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
3761.6
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
3749.8
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
3737.9
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
3736.1
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
3724.8
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
3718.1
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
3717.1
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
3704.2
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
3695.0
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
3683.7
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
3670.5
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
3665.8
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
3660.8
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
3655.6
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
3610.5
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
3600.2
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
3594.9
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
3594.1
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
3591.3
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
3573.1
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
3549.7
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
3545.8
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
3533.8
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
3533.0
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
3525.7
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
3524.7
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
3520.6
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
3517.9
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
3499.5
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
3482.6
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
3481.9
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
3481.1
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
3477.5
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
3471.1
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
3469.4
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
3466.5
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
3463.4
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
3461.8
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
3453.2
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
3444.8
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
3442.8
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
3425.2
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
3422.6
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
3419.5
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
3417.3
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
3415.6
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
3415.3
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
3404.9
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
3387.2
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
3381.2
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
3380.4
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
3380.0
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
3379.8
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
3378.6
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
3377.7
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
3372.3
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
3369.9
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
3352.2
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
3348.3
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
3333.3
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
3321.7
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
3309.8
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
3299.2
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
3297.7
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
3290.7
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
3290.1
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
3279.1
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3273.6
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
3259.5
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
3244.9
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
3240.8
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
3235.0
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
3229.5
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
3226.1
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
3224.9
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
3220.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
3219.8
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
3219.3
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
3213.4
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
3204.3
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
3201.4
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
3188.2
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
3186.8
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
3176.7
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
3173.9
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
3170.5
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
3165.1
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
3163.1
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
3153.2
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
3150.6
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
3150.2
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
3149.2
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
3148.9
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
3127.5
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
3122.1
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
3114.8
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
3083.1
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
3079.8
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
3060.4
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
3055.7
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
3037.2
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
3025.0
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3006.2
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
3000.8
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
3000.7
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
2993.6
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
2967.7
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
2961.7
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
2931.0
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
2928.1
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
2927.7
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
2919.5
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
2906.9
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
2889.1
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
2888.8
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
2887.4
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
2886.0
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
2884.0
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
2872.4
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
2864.2
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
2852.5
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
2838.5
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
2837.6
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
2834.7
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
2826.2
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
2818.4
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
2813.2
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
2797.4
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
2797.1
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
2792.5
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
2791.9
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
2788.3
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
2788.1
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
2787.1
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
2770.3
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
2760.9
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
2735.1
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
2733.7
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
2727.8
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
2722.9
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
2722.8
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
2719.4
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
2707.1
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
2700.0
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
2696.3
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
2683.9
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
2676.6
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
2662.2
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
2659.0
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
2657.5
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
2648.8
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
2637.8
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
2623.1
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
2616.8
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
2614.1
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
2612.0
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
2606.1
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
2593.1
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
2589.1
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
2581.3
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
2580.1
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
2576.1
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
2564.5
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
2562.4
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
2560.5
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
2560.4
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
2555.0
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
2549.9
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
2546.1
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
2542.5
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
2536.4
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
2533.4
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
2527.9
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
2520.2
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
2510.7
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
2508.3
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
2484.5
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
2484.5
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
2472.6
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
2469.8
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
2454.2
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
2450.7
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
2445.2
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
2421.1
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
2417.7
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
2397.1
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
2384.2
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
2377.6
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
2373.1
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
2367.7
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
2364.3
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
2358.1
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
2352.9
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
2348.1
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
2346.5
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
2328.1
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
2320.5
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
2317.0
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
2307.4
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
2304.8
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
2296.3
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
2279.8
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
2275.5
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
2255.7
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
2254.0
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
2253.9
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2251.4
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
2244.0
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
2239.5
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
2219.8
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
2217.9
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
2210.6
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
2206.3
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
2192.7
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
2191.1
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
2190.9
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
2189.5
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
2187.0
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
2166.8
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
2165.7
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
2159.1
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
2153.9
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
2151.0
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
2146.2
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
2140.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
2140.6
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
2109.8
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
2109.6
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
2102.4
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
2080.3
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
2060.5
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
2056.0
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
2050.3
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
2047.8
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
2046.4
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
2043.4
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
2038.1
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
2032.2
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
2027.1
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
2026.6
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
1997.5
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
1994.9
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
1947.2
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
1946.8
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
1927.8
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
1927.6
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
1914.5
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
1908.4
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
1879.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
1870.0
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
1863.8
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
1862.8
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
1854.8
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
1831.6
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
1810.9
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
1809.3
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
1796.2
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
1773.0
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
1770.5
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
1770.0
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
1768.2
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
1767.3
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
1760.6
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
1750.8
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
1739.6
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
1738.2
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
1730.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
1716.0
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
1706.6
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
1688.5
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
1684.1
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
1679.9
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
1663.1
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
1645.7
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
1634.0
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
1633.8
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
1600.0
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
1595.9
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
1595.1
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
1570.5
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
1569.8
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
1507.8
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
1506.6
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
1464.5
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
1455.8
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
1439.3
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
1430.4
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
1398.3
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
1394.7
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
1359.0
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
1341.7
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
1198.7
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
1006.8
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
980.9
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
777.4
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.
GAPDH 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
3926.8
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
8680.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
8274.2
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
7146.4
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
6527.2
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
6085.6
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
6054.3
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
6050.7
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
5985.9
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
5699.0
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
5611.9
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
5585.2
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
5465.8
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
5401.2
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
5393.6
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
5389.1
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
5257.9
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
5157.8
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
5125.5
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
5102.4
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
4998.2
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
4833.0
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
4820.5
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
4714.8
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
4698.5
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
4636.4
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
4593.9
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
4540.4
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
4485.7
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
4465.4
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
4440.1
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
4426.7
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
4365.3
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
4323.4
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
4184.9
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
4138.2
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
4134.5
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
4098.0
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
4096.7
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
4033.4
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
4020.9
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
3984.7
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
3982.4
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
3910.8
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
3811.5
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
3802.9
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
3785.3
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
3769.7
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3743.3
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
3690.6
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
3665.8
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
3530.1
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
3483.9
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
3483.6
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
3382.9
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
3367.3
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
3323.2
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3237.7
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
3212.8
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
3136.7
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
3084.8
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
3033.5
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
2910.4
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
2848.9
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
2830.6
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
2817.4
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
2812.9
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2811.1
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
2707.6
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
2686.9
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
2683.0
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
2667.1
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
2646.7
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
2611.9
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
2518.2
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
2432.0
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
2427.1
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
2353.6
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
2308.5
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
2288.0
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
2238.1
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
2101.2
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
2077.4
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
2051.2
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
2026.4
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
1919.4
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1604.9
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
1367.4
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 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.
GAPDH 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
2691.4
Number of samples
207
Samples
Sample
Description
pTPM
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
7225.8
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
6807.7
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
6238.8
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
5989.2
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
5602.9
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
5387.9
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
5257.9
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
5002.2
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
4930.9
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
4856.8
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
4843.6
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
4701.3
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
4488.1
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
4473.6
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
4233.6
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
4141.5
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
4127.1
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
4122.9
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
4053.4
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
4011.8
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
4006.3
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
3980.5
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
3975.7
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
3912.0
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
3903.9
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
3800.2
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
3768.6
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
3749.3
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
3736.4
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
3726.8
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
3716.2
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
3637.8
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
3599.5
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
3584.7
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
3569.3
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
3523.7
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
3442.5
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
3441.3
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
3424.8
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
3421.7
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
3403.7
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
3383.3
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
3383.2
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
3373.0
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
3348.7
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
3348.5
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
3305.6
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
3237.9
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
3205.7
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
3165.7
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
3143.4
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
3138.0
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
3129.4
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
3128.3
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
3098.4
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
3095.5
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
3017.8
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
2996.7
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
2994.5
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
2978.6
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
2960.1
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
2958.6
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
2955.6
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
2946.1
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
2918.0
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
2916.3
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
2899.1
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
2887.1
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
2880.2
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
2864.4
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
2849.9
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
2845.5
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
2841.0
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
2832.5
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
2823.0
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
2820.6
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
2819.6
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
2813.7
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
2786.5
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
2760.0
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
2758.2
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
2751.5
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
2745.0
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
2738.2
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
2736.0
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
2731.4
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
2689.7
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
2666.0
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
2642.2
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
2636.0
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
2632.9
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
2630.8
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
2629.1
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
2627.0
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
2613.9
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
2586.5
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
2585.9
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
2579.4
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
2569.8
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2559.4
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
2555.0
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
2535.5
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
2529.7
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
2523.5
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
2484.4
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
2478.7
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
2469.5
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
2460.6
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
2454.0
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
2452.4
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
2448.8
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
2444.8
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
2430.4
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
2422.5
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
2407.6
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
2401.7
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
2389.8
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
2386.5
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
2381.9
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
2352.9
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
2347.4
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
2340.4
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
2334.2
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
2324.2
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
2323.8
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
2320.0
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
2311.9
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
2306.9
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
2282.2
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
2268.9
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
2247.4
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
2247.3
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
2236.7
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
2235.9
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
2208.8
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
2186.6
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
2185.7
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
2161.3
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
2157.4
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
2145.0
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
2133.7
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
2124.2
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
2116.1
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
2101.8
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
2092.7
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
2092.6
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
2089.9
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
2072.9
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
2057.9
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
2055.1
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
2054.4
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
2051.9
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
2042.2
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
2038.6
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
2029.1
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
2027.1
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
2025.5
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
2015.3
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
2012.7
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
1997.9
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
1990.6
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
1964.3
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
1946.2
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
1941.4
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
1921.1
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
1912.0
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
1892.0
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
1876.5
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
1872.9
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
1858.1
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
1848.6
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
1798.3
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
1794.2
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
1782.4
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
1746.8
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
1744.3
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
1742.2
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
1736.4
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
1706.6
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
1691.7
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
1677.3
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
1672.7
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
1662.7
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1637.7
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
1619.6
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
1592.1
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
1584.7
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
1525.4
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
1514.5
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
1510.8
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1483.0
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
1459.2
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
1458.1
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1374.5
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
1336.0
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
1314.8
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
1301.4
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
1255.1
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
1196.3
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
1191.7
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
1164.4
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1082.8
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
968.7
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
967.4
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
902.6
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
881.7
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
831.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.8
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
