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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.
FTL 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
4834.5
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
20386.4
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
14240.8
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
12464.1
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
12328.2
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
11251.0
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
10965.5
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
10168.1
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
9939.6
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
9624.5
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
9568.8
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
9166.7
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
9016.3
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
9001.0
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
8923.7
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
8874.1
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
8746.9
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
8613.8
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
8600.2
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
8312.0
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
8068.8
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
7987.3
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
7797.2
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
7796.2
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
7752.7
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
7669.7
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
7441.2
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
7427.2
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
7380.3
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
7303.3
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
7248.8
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7177.9
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
7040.8
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
6946.8
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
6934.8
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6887.3
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
6866.5
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
6863.1
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
6649.7
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
6647.8
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
6557.0
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
6527.6
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
6380.8
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
6272.0
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
6271.2
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
6252.0
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
6156.0
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
6138.1
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
6079.4
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
6030.3
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
6026.5
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
6024.8
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
6012.3
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
5976.6
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
5917.9
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
5844.5
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
5809.2
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
5805.2
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
5798.6
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
5789.4
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5756.9
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
5747.9
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
5737.0
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
5713.5
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
5623.5
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
5615.0
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
5551.1
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
5459.4
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
5429.1
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
5421.6
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
5412.2
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
5401.4
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
5399.9
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
5388.7
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
5387.7
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
5370.5
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
5345.1
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
5330.3
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
5317.7
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
5316.2
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5316.0
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
5310.8
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
5310.2
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5292.6
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
5284.2
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
5242.5
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5225.5
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
5221.5
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
5218.0
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
5177.8
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
5176.9
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5136.8
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
5127.5
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5126.8
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
5091.4
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
5078.0
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5040.4
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
5005.4
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
5002.1
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
4981.3
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4960.6
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
4953.0
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
4889.7
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
4870.7
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
4849.5
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
4843.8
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
4843.6
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
4840.4
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
4820.9
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
4820.8
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
4756.6
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
4747.4
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
4741.2
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
4735.1
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
4722.1
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
4706.9
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
4679.4
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
4677.6
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
4666.8
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
4631.9
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
4616.4
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
4558.0
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
4556.1
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
4555.3
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
4553.4
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
4551.0
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
4545.6
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
4538.5
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
4524.4
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
4519.6
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4482.9
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
4466.9
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
4455.5
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
4453.1
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
4445.7
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
4416.5
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4389.4
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
4386.5
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
4376.0
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
4359.0
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
4356.0
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
4336.0
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
4270.1
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
4230.6
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
4178.4
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
4162.6
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
4154.8
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
4149.0
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
4129.7
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
4114.8
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
4104.0
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
4085.3
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
4084.6
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
4072.7
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
4050.4
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
4047.2
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
3972.0
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
3971.6
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
3933.3
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3903.0
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
3883.4
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
3840.6
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
3835.8
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
3787.3
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3786.7
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
3773.2
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
3767.1
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3750.0
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
3746.3
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
3710.0
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
3709.2
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
3696.2
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
3653.9
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
3653.2
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3631.6
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3625.7
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
3621.5
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
3599.7
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
3593.7
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
3588.4
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
3557.4
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
3542.8
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
3535.1
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
3516.8
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
3507.0
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
3499.8
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
3477.9
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
3462.1
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
3451.7
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
3436.8
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
3435.0
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
3421.2
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
3406.7
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
3386.8
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
3379.1
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
3357.6
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
3351.8
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
3329.7
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
3300.3
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
3286.7
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
3199.6
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
3185.2
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3174.6
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
3163.6
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
3136.3
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
3125.2
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
3114.7
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
3094.5
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
3090.4
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
3089.2
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
3057.9
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
2968.0
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2945.5
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
2917.2
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
2841.6
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
2787.5
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
2745.0
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
2732.9
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
2718.1
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
2650.0
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
2639.2
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
2635.9
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
2618.5
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
2600.4
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
2597.7
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
2580.8
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
2569.8
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
2547.8
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
2545.3
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2539.1
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
2520.8
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
2416.9
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
2401.3
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
2352.7
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
2329.8
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
2305.1
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
2299.3
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2219.6
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
2219.5
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
2212.9
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
2144.8
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2143.2
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
2097.6
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
2061.4
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
2044.1
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
2038.1
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
1892.1
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1763.1
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
1761.0
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
1674.0
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
1666.8
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
1663.4
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
1642.3
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
1540.2
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 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.
FTL 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
3516.1
Number of samples
486
Samples
Sample
Description
pTPM
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
8855.5
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
8234.0
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
7445.3
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
7407.7
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
7130.4
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
7038.0
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
6839.6
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
6806.5
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
6632.3
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
6567.2
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
6561.2
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
6503.2
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
6498.3
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
6219.4
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
6205.2
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
6018.8
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
5942.0
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
5907.6
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
5893.9
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
5869.2
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
5846.5
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
5841.8
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
5749.6
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
5722.7
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
5711.1
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
5689.4
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
5675.4
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
5665.8
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
5632.3
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
5622.2
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
5586.8
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
5541.8
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
5536.9
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
5499.8
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
5486.3
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
5463.7
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
5413.3
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
5367.9
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
5326.9
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
5248.3
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
5224.5
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
5176.8
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
5166.3
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
5155.9
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
5141.0
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
5138.9
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
5129.1
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
5126.8
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
5121.0
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
5120.4
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
5113.1
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
5090.1
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
5074.9
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
5008.6
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
4995.9
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
4972.4
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
4966.8
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
4952.5
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
4932.8
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
4927.4
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
4900.2
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
4895.9
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
4870.1
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
4848.0
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
4844.9
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
4838.6
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
4835.1
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
4829.9
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
4825.1
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
4744.6
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
4723.6
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
4714.6
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
4712.5
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
4700.5
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
4698.3
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
4672.4
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
4626.0
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
4620.0
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
4614.3
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
4608.9
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
4606.1
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
4538.3
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
4532.1
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
4529.4
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
4519.6
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
4488.0
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
4471.5
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
4458.7
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
4445.5
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
4406.6
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
4394.6
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
4386.9
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
4382.3
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
4374.3
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
4367.0
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
4362.2
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
4354.5
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
4332.2
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
4329.1
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
4326.2
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
4323.2
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
4311.6
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
4306.5
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
4286.1
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
4277.9
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
4275.9
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
4273.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
4271.2
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
4268.7
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
4242.6
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
4229.0
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
4228.4
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
4226.2
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
4219.3
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
4203.8
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
4200.9
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
4193.5
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
4188.8
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
4178.3
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
4173.8
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
4156.0
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
4154.0
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
4149.5
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
4140.3
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
4107.4
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
4101.6
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
4096.5
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
4094.3
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
4082.3
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
4077.1
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
4075.5
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
4066.4
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
4056.7
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
4048.9
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
4039.6
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
4028.2
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
4024.1
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
4021.5
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
4017.8
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
3992.1
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
3979.6
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
3964.1
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
3961.1
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
3950.0
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
3947.6
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
3944.3
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
3940.3
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
3939.6
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
3939.3
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
3935.2
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3925.4
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
3917.5
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
3909.4
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
3906.1
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
3895.4
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
3886.8
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
3883.0
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
3880.3
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
3878.4
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
3876.8
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
3875.5
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
3869.8
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
3869.1
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
3858.0
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
3846.7
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
3844.1
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
3839.9
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
3837.7
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
3836.1
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
3823.7
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
3822.9
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
3810.2
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
3804.7
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
3788.5
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
3787.6
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
3785.8
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
3780.8
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
3775.2
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
3771.4
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
3767.4
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
3756.4
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
3750.6
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
3731.6
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
3716.4
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
3706.7
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
3706.6
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
3698.6
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
3693.2
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
3691.7
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
3683.6
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
3665.8
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
3664.4
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
3659.0
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
3656.2
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
3655.0
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
3640.6
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
3602.5
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
3601.2
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
3599.7
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
3599.0
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
3593.8
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
3588.6
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
3577.2
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
3576.5
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
3573.6
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
3569.4
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
3567.1
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
3566.0
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
3561.9
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
3561.3
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
3554.6
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
3528.4
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
3519.1
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
3515.2
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
3512.0
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
3509.6
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
3506.8
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
3504.5
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
3501.9
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
3491.7
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
3489.0
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
3486.1
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
3483.9
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
3480.6
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
3479.2
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
3472.6
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
3471.4
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
3467.0
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
3458.3
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
3457.7
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
3438.6
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
3430.8
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
3422.0
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
3421.7
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
3409.5
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
3407.8
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
3404.0
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3402.3
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
3398.5
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
3397.7
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
3397.1
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
3391.6
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
3387.0
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
3372.7
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
3371.5
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
3362.4
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
3355.6
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
3355.4
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
3352.2
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
3334.2
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
3327.9
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
3315.7
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
3314.9
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
3312.3
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
3307.8
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
3305.8
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
3301.5
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
3296.1
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
3289.3
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
3286.9
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
3281.5
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
3279.9
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
3275.9
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
3268.2
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
3268.0
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
3266.3
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
3263.6
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
3260.2
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
3257.0
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
3252.3
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
3243.4
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
3238.3
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
3236.3
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
3221.0
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
3214.3
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
3194.9
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
3190.5
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
3182.0
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
3171.5
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
3170.2
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
3167.3
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
3164.7
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
3161.7
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
3160.8
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
3160.1
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
3158.5
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
3152.0
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
3146.9
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
3129.6
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
3125.2
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
3109.7
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
3104.9
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
3103.8
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
3103.1
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
3101.5
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
3094.1
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
3093.8
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
3091.0
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
3086.8
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
3075.9
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
3074.8
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
3050.4
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
3043.7
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
3040.1
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
3036.3
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
3030.0
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
3026.8
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
3021.9
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
3009.6
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
2988.5
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2974.9
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
2968.5
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
2958.0
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
2953.7
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
2952.3
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
2941.9
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
2939.9
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
2935.6
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
2927.5
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
2926.7
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
2926.3
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
2921.8
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
2920.4
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
2917.8
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
2916.9
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
2911.3
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
2910.8
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
2903.0
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
2879.0
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
2876.9
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
2867.2
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
2864.8
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
2859.0
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
2852.6
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
2851.4
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
2850.9
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
2850.3
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
2846.2
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
2844.9
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
2844.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
2841.8
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
2834.6
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
2825.1
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
2821.6
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
2817.4
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
2812.3
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
2806.3
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
2806.1
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
2793.4
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
2789.7
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
2783.2
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
2779.2
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
2766.7
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
2758.9
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
2756.2
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
2753.4
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
2745.1
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
2738.5
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
2733.1
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
2728.3
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
2722.6
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
2716.0
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
2713.5
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
2711.4
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
2709.0
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
2693.5
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
2692.4
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
2689.1
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
2685.0
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
2684.6
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
2669.6
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
2658.9
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
2657.9
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
2648.7
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
2638.7
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
2633.0
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
2625.5
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
2620.6
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
2619.5
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
2619.4
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
2611.1
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
2609.2
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
2606.0
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
2599.2
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
2596.2
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
2594.1
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
2590.3
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
2581.6
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
2580.2
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
2562.3
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
2551.9
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
2537.3
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
2527.4
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
2516.6
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
2501.6
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
2500.9
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
2498.6
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
2496.1
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
2491.6
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
2489.9
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
2477.0
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
2468.7
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
2431.8
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
2428.3
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
2412.9
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
2405.4
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
2404.1
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
2401.9
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
2395.2
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
2392.1
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
2391.3
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
2369.0
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
2351.8
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
2348.8
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
2329.7
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
2328.6
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
2327.3
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
2312.9
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
2306.7
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
2303.1
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
2289.0
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
2286.5
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
2280.6
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
2277.6
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
2247.6
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
2232.9
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
2232.0
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
2225.1
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
2224.6
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
2219.0
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
2206.6
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
2199.2
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
2196.3
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
2191.8
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
2179.8
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
2179.6
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
2175.7
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
2141.3
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
2125.5
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
2116.3
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
2109.5
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
2102.1
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
2082.9
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
2079.6
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
2070.5
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
2065.3
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
2054.0
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
2053.5
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
2038.7
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
2032.1
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
2027.6
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
2025.3
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
2017.9
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
1988.7
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
1985.1
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
1980.6
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
1979.8
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
1979.6
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
1950.1
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
1929.2
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
1920.2
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
1915.3
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
1878.7
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
1861.0
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
1833.8
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
1816.4
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
1801.6
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
1800.1
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
1771.9
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
1735.4
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
1703.0
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
1691.1
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
1616.8
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
1568.9
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
1567.4
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
1484.3
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
1480.0
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
1411.5
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
1410.9
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
1311.0
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
1300.2
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
1234.8
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
1152.1
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
910.3
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
659.7
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.
FTL 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
4519.3
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
8803.3
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
7789.3
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
7136.7
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
6982.3
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
6946.0
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
6889.5
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
6648.6
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
6506.9
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
6426.5
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
6343.8
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
6262.1
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
6125.6
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
6096.8
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
6079.2
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
6059.9
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
6016.0
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
5821.1
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
5755.5
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
5541.9
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
5464.2
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
5463.2
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
5374.7
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
5361.7
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
5329.1
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
5301.9
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
5246.3
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
5241.2
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
5151.1
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
5130.1
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
5097.8
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5072.8
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
5070.7
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
5067.7
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
5013.9
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
4888.8
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
4871.0
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
4870.0
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4858.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
4822.4
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
4736.6
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
4707.2
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
4688.8
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
4644.1
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
4439.0
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
4403.2
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
4394.7
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
4390.5
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
4280.8
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
4267.6
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
4241.5
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
4176.5
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
4151.3
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
4003.8
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
3992.0
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3935.1
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
3930.0
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
3921.6
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
3909.7
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
3806.3
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
3673.8
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
3646.3
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
3603.9
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
3584.7
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
3574.0
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3567.7
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
3526.8
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
3466.4
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
3414.1
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
3354.3
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
3335.5
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
3314.0
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
3296.0
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
3200.7
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3180.7
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
3171.2
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
2955.1
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
2922.4
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
2914.2
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
2875.6
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
2730.0
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
2662.1
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
2641.2
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
2612.6
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
1944.6
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
1849.7
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
1829.6
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
1769.4
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 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.
FTL 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
3127.6
Number of samples
207
Samples
Sample
Description
pTPM
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
12080.1
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
8014.1
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
7540.3
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
7190.7
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
6669.7
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
6359.5
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
5836.2
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
5792.2
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
5713.2
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
5461.8
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
5398.7
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
5386.5
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
5143.3
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
4998.9
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
4982.2
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
4916.6
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
4881.2
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
4881.0
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
4851.3
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
4706.0
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
4695.5
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
4694.8
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
4546.8
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
4545.4
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
4535.3
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
4470.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
4464.8
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
4423.8
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
4378.2
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
4341.7
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
4298.5
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
4285.8
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
4239.3
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
4212.2
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
4206.0
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
4198.5
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
4146.8
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
4135.6
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
4116.3
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
4109.1
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
4105.0
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
4096.0
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
4057.6
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
4043.5
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
4034.0
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
4033.3
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
4013.2
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
3990.8
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
3981.0
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
3965.8
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
3964.8
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
3953.7
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
3949.8
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
3942.7
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
3935.3
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
3930.8
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
3904.4
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
3863.1
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
3862.1
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
3852.0
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
3825.5
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
3824.2
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
3771.5
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
3746.4
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
3691.6
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
3688.8
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
3646.9
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
3645.6
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
3612.7
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
3597.0
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
3593.8
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
3553.5
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
3540.4
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
3522.7
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
3470.0
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
3321.1
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
3292.3
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
3280.4
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
3256.7
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
3251.6
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
3244.3
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
3239.4
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
3235.7
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
3232.6
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
3198.0
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
3172.8
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
3164.3
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
3130.7
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
3124.1
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
3120.6
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
3115.5
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
3106.0
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
3074.6
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
3043.1
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
3041.0
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
3034.5
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
3010.9
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
2997.9
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
2962.1
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
2944.2
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
2892.3
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2889.2
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
2882.5
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
2867.5
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
2865.3
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
2835.3
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
2834.9
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
2830.3
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
2812.1
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
2793.0
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
2792.5
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
2791.2
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
2770.4
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
2769.1
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
2730.1
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
2729.2
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
2701.9
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
2689.5
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
2686.4
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
2683.4
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
2667.6
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
2667.3
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
2652.3
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
2644.0
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
2627.7
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
2581.2
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
2549.0
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
2526.3
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
2492.0
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
2440.0
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
2430.8
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
2413.5
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
2407.0
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
2405.5
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
2403.4
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
2397.8
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
2396.0
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
2395.8
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
2378.0
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
2339.6
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
2338.7
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
2329.8
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
2321.7
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
2284.5
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
2263.8
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
2263.2
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
2249.1
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
2236.6
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
2236.4
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
2221.2
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
2199.9
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
2198.3
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
2197.2
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
2168.4
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
2109.1
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
2097.6
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
2082.0
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
2080.5
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
2070.3
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
2060.0
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
2049.0
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
2036.1
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
2005.0
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
2001.4
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
1987.8
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
1984.6
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
1983.5
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
1983.3
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
1977.3
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
1972.9
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
1932.3
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
1917.5
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
1873.2
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
1846.3
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
1829.0
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
1814.5
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
1799.9
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
1735.6
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
1719.0
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
1708.0
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
1705.7
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
1680.6
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
1655.5
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
1650.1
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
1646.9
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
1600.3
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
1592.1
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
1585.1
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
1584.9
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
1581.3
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
1571.3
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
1522.9
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
1522.8
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
1509.8
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
1504.1
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
1483.1
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
1480.6
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
1479.1
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
1473.7
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
1359.0
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
1311.1
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
1228.4
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
1154.5
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
1153.2
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
1140.4
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
1109.1
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
651.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
2.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
2.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
2.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
1.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
1.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
1.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
1.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.9
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-2.5
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
