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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.
TPT1 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
7695.7
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
31325.6
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
23052.2
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21389.2
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
19532.5
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
17717.2
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
16874.6
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
15824.1
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
15704.5
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
15553.5
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
14816.6
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13760.2
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
13665.0
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
13649.2
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
13266.0
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
13160.1
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
13127.8
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
12835.6
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
12493.5
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
12462.2
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
12344.7
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
11880.7
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
11840.6
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
11686.6
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
11627.5
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
11318.4
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
11203.3
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
11014.9
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
10725.8
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10723.8
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
10463.2
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10352.4
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
10216.1
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
10204.2
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
10191.6
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
10133.7
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
10071.9
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
10065.7
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
10041.3
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
9927.2
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
9922.1
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9921.7
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
9882.8
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
9861.4
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
9822.2
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
9790.0
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
9759.8
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
9670.2
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
9533.0
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
9467.7
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
9461.8
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
9385.3
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9380.4
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
9369.5
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
9314.7
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
9258.2
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
9240.7
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
9213.5
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
9092.5
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
8985.5
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
8959.0
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
8946.0
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
8897.3
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
8891.4
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
8890.3
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8778.7
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
8734.5
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
8724.9
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8723.9
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
8722.2
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
8693.8
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
8685.8
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
8608.0
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
8605.6
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
8490.0
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
8462.3
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
8431.0
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
8381.3
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
8360.2
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
8330.2
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
8327.3
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
8321.4
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
8265.3
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
8179.3
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
8178.2
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
8165.6
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
8161.4
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8116.4
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
7980.5
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
7975.6
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
7912.8
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
7906.6
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
7893.1
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
7890.5
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7879.5
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
7794.2
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
7758.3
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
7742.5
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
7736.3
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7680.0
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
7670.3
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
7666.2
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7631.5
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
7536.2
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
7520.3
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
7480.6
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
7466.9
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
7436.9
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
7420.9
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
7418.9
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
7375.5
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
7312.2
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
7275.3
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
7239.4
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
7221.2
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
7212.7
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
7210.3
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
7206.4
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
7186.9
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
7085.8
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
7053.4
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
7006.4
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
6991.3
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
6974.7
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
6958.0
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
6957.7
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
6914.1
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
6839.1
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
6829.8
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
6816.2
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
6763.2
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
6751.7
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
6747.0
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
6706.5
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
6696.5
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
6680.3
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
6626.5
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
6621.0
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
6585.9
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
6570.2
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6570.1
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
6492.8
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
6455.8
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
6453.6
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
6445.8
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
6444.4
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
6415.3
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
6414.6
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
6374.0
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
6336.0
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
6314.4
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6312.4
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
6304.0
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
6292.7
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
6288.2
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
6282.2
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
6223.9
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
6216.2
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
6192.1
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
6161.3
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
6158.8
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
6126.5
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
6112.3
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
6109.7
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
6091.1
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
6056.4
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
6050.8
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
6049.9
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
6043.0
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
5996.0
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
5994.5
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
5984.9
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
5978.8
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
5970.5
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
5920.0
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
5897.3
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
5889.0
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
5880.9
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
5865.8
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
5865.2
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
5831.0
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
5801.3
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5799.7
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
5798.4
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
5794.8
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
5790.6
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
5780.3
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
5766.7
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
5756.3
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5725.9
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
5715.3
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
5707.2
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
5706.9
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
5682.1
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
5680.1
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
5663.6
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
5660.9
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
5624.2
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
5566.3
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
5559.0
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
5508.6
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5506.5
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
5480.1
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
5476.9
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
5462.7
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
5452.5
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
5441.0
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5393.8
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5389.9
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
5370.8
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
5335.8
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
5328.1
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
5320.9
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
5314.0
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
5249.4
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
5146.7
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
5119.7
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
5080.6
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
5067.6
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
5020.1
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
4984.7
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
4956.2
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
4916.1
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
4907.5
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
4885.8
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
4874.5
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
4863.2
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
4839.0
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
4836.4
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
4836.3
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
4830.5
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4798.3
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
4770.9
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
4634.9
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
4592.3
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
4561.7
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
4555.1
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
4518.0
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
4494.4
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
4421.9
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
4398.2
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
4364.7
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
4345.6
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
4331.7
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
4310.6
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
4304.4
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
4183.8
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
4119.0
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
4092.1
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
4061.0
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4002.2
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
3884.5
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
3756.8
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
2418.0
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 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.
TPT1 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
4616.0
Number of samples
486
Samples
Sample
Description
pTPM
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
18007.2
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
15382.4
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
13194.5
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
12868.3
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
12634.4
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
10773.5
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
10735.7
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
9467.6
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
9414.7
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
9264.9
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
9171.1
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
9141.0
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
8757.8
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
8201.8
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
8040.0
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
8017.2
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
7950.6
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
7816.8
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
7807.3
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
7792.7
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
7690.1
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
7673.8
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
7639.9
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
7630.2
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
7597.2
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
7523.5
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
7482.7
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
7373.3
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
7373.1
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
7362.6
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
7307.8
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
7211.9
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
7186.9
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
7054.2
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
7034.0
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
7006.2
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
6973.8
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
6961.2
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
6948.6
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
6945.8
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
6941.3
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
6924.9
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
6878.3
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
6876.9
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
6807.8
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
6793.0
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
6758.4
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
6728.0
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
6716.6
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
6688.6
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
6677.9
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
6533.2
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
6410.7
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
6392.5
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
6390.3
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
6351.4
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
6330.1
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
6301.7
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
6268.1
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
6258.2
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
6254.4
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
6212.1
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
6197.1
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
6196.5
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
6148.7
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
6132.5
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
6126.5
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
6109.7
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
6104.6
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
6093.5
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
6061.0
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
6030.0
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
6019.9
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
6009.5
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
5951.5
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
5932.9
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
5922.5
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
5918.1
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
5912.3
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
5892.4
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
5882.0
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
5863.1
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
5851.7
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
5840.2
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
5828.9
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
5824.6
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
5813.9
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
5780.1
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
5773.8
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
5773.2
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
5745.0
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
5744.3
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
5734.8
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
5724.3
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
5721.5
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
5718.8
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
5700.7
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
5686.4
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
5684.0
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
5683.8
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
5670.6
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
5661.4
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
5655.5
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
5647.7
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
5622.1
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
5613.0
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
5602.2
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
5591.9
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
5569.6
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
5539.2
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
5510.6
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
5500.1
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
5489.8
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
5485.1
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
5467.5
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
5431.4
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
5426.2
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
5416.9
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
5416.5
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
5392.7
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
5359.7
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
5358.8
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
5347.0
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
5342.6
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
5319.1
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
5313.6
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
5296.2
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
5279.0
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
5263.8
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
5259.3
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
5245.0
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
5224.6
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
5217.5
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
5210.8
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
5197.5
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
5189.3
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
5170.9
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
5133.9
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
5131.1
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
5122.6
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
5120.3
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
5065.7
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
5056.4
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
5051.3
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
5050.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
5044.3
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
5029.5
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
5018.2
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
5003.8
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
5000.2
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
4991.5
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
4991.4
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
4989.3
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
4986.6
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
4984.4
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
4979.2
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
4977.3
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
4962.0
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
4948.6
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
4944.1
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
4939.7
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
4936.8
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
4899.8
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
4891.8
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
4858.0
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
4850.0
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
4830.5
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
4811.6
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
4809.8
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
4786.6
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
4777.9
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
4764.5
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
4761.6
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
4758.2
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
4754.5
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
4747.8
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
4746.8
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
4742.7
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
4723.8
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
4719.9
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
4709.4
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
4708.0
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
4690.8
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
4667.0
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
4666.8
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
4660.3
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
4659.9
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
4654.4
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
4652.1
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
4651.0
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
4650.2
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
4650.2
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
4632.0
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
4619.9
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
4618.4
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
4607.0
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
4595.3
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
4593.5
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
4589.7
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
4584.9
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
4583.6
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
4581.1
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
4577.2
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
4557.3
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
4556.6
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
4552.5
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
4543.5
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
4519.1
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
4517.8
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
4512.1
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
4507.3
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
4504.4
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
4498.5
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
4494.2
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
4489.6
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
4488.5
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
4482.5
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
4466.3
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
4465.4
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
4456.1
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
4448.5
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
4442.8
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
4420.1
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
4417.8
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
4390.0
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
4389.9
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
4385.0
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
4376.5
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
4350.8
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
4350.0
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
4342.6
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
4330.8
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
4323.5
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
4319.6
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
4313.7
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
4304.7
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
4303.2
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
4293.9
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
4270.2
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
4259.9
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
4258.2
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
4254.7
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
4252.7
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
4251.1
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
4248.6
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
4230.7
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
4229.1
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
4228.6
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
4225.4
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
4212.8
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
4201.6
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
4191.7
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
4179.8
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
4175.0
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
4174.9
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
4174.0
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
4170.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
4170.4
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
4169.8
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
4168.4
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
4165.5
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
4150.9
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
4144.6
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
4142.2
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
4138.7
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
4134.7
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
4131.7
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
4129.7
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
4124.9
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
4111.0
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
4110.7
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
4104.8
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
4104.2
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
4096.9
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
4084.4
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
4084.1
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
4070.4
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
4064.7
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
4048.2
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
4025.5
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
4021.1
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
3997.6
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
3981.2
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
3978.9
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
3976.4
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
3974.6
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
3973.8
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
3972.9
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
3972.8
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
3970.3
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
3964.8
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
3956.9
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
3948.7
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
3944.5
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
3941.6
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
3939.0
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
3935.5
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
3930.7
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
3924.9
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
3923.6
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
3921.0
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
3919.4
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
3916.5
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
3915.8
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
3909.0
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
3904.3
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
3902.7
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
3897.3
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
3895.9
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
3872.5
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
3871.0
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
3868.5
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
3863.2
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
3863.1
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
3844.5
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
3834.3
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
3830.5
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
3826.1
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
3818.6
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
3787.9
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
3782.1
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
3781.0
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
3779.1
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
3766.2
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
3746.4
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
3737.4
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
3733.3
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
3725.4
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
3722.8
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
3721.4
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
3712.8
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
3703.8
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
3701.1
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
3698.5
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
3698.3
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
3698.3
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
3691.1
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
3680.0
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
3674.7
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
3653.1
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
3648.3
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
3646.9
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
3640.0
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
3628.1
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
3623.9
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
3618.4
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
3616.8
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
3612.4
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
3596.7
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
3596.1
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
3560.0
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
3557.5
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
3550.6
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
3548.9
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
3523.4
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
3515.3
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
3514.7
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
3512.0
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
3511.1
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
3507.7
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
3506.9
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
3500.5
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
3499.1
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
3498.0
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
3486.3
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
3481.6
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
3477.9
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
3465.9
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
3459.5
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
3457.5
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
3456.1
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
3454.3
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
3453.7
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
3451.8
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
3436.3
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
3435.9
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
3432.7
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
3432.0
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
3431.7
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
3430.9
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
3428.0
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
3416.4
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
3413.0
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
3402.8
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
3392.9
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
3392.0
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
3389.6
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
3383.7
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
3378.9
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
3364.0
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
3359.5
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
3352.7
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
3338.4
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
3327.2
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
3318.7
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
3318.3
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
3296.8
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
3292.7
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
3292.0
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
3289.3
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
3275.5
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
3270.9
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
3267.4
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
3264.1
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
3256.3
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
3253.5
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
3246.9
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
3241.7
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
3238.2
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
3232.3
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
3225.1
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
3173.6
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
3168.8
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
3166.6
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
3166.2
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
3150.6
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
3149.1
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
3145.8
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
3133.2
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
3114.2
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
3113.9
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
3111.4
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
3093.1
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
3087.3
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
3085.4
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
3077.3
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
3072.1
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
3068.9
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
3066.0
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
3038.6
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
3032.1
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
3018.0
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
3011.9
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
3000.2
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
2992.4
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
2986.1
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
2986.0
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
2972.2
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
2964.2
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
2947.4
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
2922.3
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
2908.1
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
2877.9
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
2863.2
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
2849.5
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
2845.7
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
2842.1
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
2806.0
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
2788.7
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
2775.6
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
2773.6
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
2753.1
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
2749.3
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
2724.7
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
2692.0
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
2643.0
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
2637.6
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
2626.7
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
2570.3
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
2569.0
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
2547.2
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
2538.4
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
2532.5
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
2520.1
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
2488.4
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2457.4
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
2444.5
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
2429.2
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
2407.5
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
2392.1
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
2389.0
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
2375.7
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
2270.4
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
2222.3
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
2209.2
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
2197.6
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
2173.6
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
2172.7
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
2154.2
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
2126.7
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
1963.0
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
1956.9
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
1942.6
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
1883.5
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
1533.7
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.
TPT1 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
8069.5
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
19805.5
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
17279.2
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
17196.0
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
15495.4
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
13520.6
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
13395.5
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
13180.8
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
12815.8
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
12727.9
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
12459.2
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
11969.2
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
11742.1
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
11526.5
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
11335.1
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
10958.5
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
10298.5
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
10260.6
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
10191.4
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
10098.8
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
10005.2
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
9796.1
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
9751.5
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
9717.9
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
9619.3
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
9510.1
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
9327.4
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
9144.1
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
9072.3
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9042.4
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
8938.5
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
8749.6
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
8669.5
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
8509.6
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
8437.4
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
8411.7
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
7948.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
7658.4
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
7656.6
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
7648.1
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
7612.8
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
7605.6
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
7577.4
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
7532.3
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
7410.5
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
7314.6
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
7301.3
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
7297.4
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
7266.9
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
7262.7
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
7164.0
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
6997.1
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
6927.2
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
6904.5
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
6695.5
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
6685.0
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
6671.9
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
6578.1
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
6573.8
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
6493.4
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
6439.3
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
6341.9
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
6023.3
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
5995.6
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
5973.7
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
5934.2
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
5897.8
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
5795.9
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
5766.2
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
5738.6
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
5691.7
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
5685.9
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
5404.4
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
5355.6
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
5352.2
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
5017.4
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
4989.9
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
4971.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
4883.4
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4881.8
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
4623.9
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
4451.1
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
4372.3
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
4034.4
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
4009.8
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
3861.3
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
2689.4
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
2600.0
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPT1 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
3915.2
Number of samples
207
Samples
Sample
Description
pTPM
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
12427.1
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
9181.0
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
8052.3
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
7795.7
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
7701.8
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
7684.9
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
7513.0
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
7321.9
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
7313.8
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
7278.6
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
7200.0
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
7192.6
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
6798.7
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
6670.4
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
6664.9
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
6583.8
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
6443.6
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
6328.3
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
6320.8
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
6248.3
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
6086.1
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
5948.4
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
5920.3
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
5804.9
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
5765.2
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
5495.4
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
5450.3
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
5396.7
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
5394.6
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
5380.7
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
5375.4
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
5247.1
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
5162.1
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
5078.6
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
5042.2
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
4959.8
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
4958.3
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
4907.6
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
4899.2
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
4872.6
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
4851.4
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
4826.3
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
4803.6
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
4739.0
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
4736.2
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
4702.5
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
4671.8
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
4659.4
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
4643.8
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
4638.5
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
4623.9
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
4585.8
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
4585.7
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
4538.6
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
4456.4
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
4446.0
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
4441.8
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
4421.8
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
4419.8
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
4415.9
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
4400.0
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
4353.1
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
4352.6
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
4289.0
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
4226.4
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
4061.6
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
4044.6
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
4044.1
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
4044.0
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
4016.6
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
4008.5
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
4000.7
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
3993.3
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
3980.0
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
3951.2
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
3905.4
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
3901.1
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
3884.4
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
3873.7
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
3866.6
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
3825.9
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
3819.8
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
3774.1
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
3772.8
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
3772.3
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
3737.3
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
3720.8
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
3684.5
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
3677.8
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
3677.5
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
3667.1
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
3658.3
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
3646.4
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
3603.9
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
3603.4
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
3599.6
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
3571.3
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
3559.9
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
3559.5
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
3534.6
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
3504.3
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
3503.5
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
3500.6
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
3487.3
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
3481.3
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
3476.4
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
3464.4
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
3431.5
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
3427.0
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
3398.4
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
3395.1
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
3394.5
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
3390.8
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
3376.6
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
3375.4
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
3350.2
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
3350.1
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
3342.1
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
3337.9
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
3329.1
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
3325.7
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
3320.8
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
3310.1
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
3295.6
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
3292.4
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
3287.8
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
3282.5
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
3268.3
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
3265.2
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
3262.1
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
3259.9
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
3259.0
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
3251.8
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
3244.9
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
3222.4
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
3204.7
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
3198.4
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
3194.5
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
3184.0
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
3163.9
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
3155.9
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
3101.5
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
3099.5
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
3089.0
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
3085.2
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
3077.5
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
3074.1
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
3068.4
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
3056.0
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
3053.1
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
3042.7
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
3041.5
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
3033.6
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
3029.8
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
3021.2
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
3017.6
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
2997.5
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
2993.7
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
2936.7
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
2922.6
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
2909.2
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
2889.1
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
2885.8
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
2841.0
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
2785.4
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
2784.0
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
2782.0
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
2776.4
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
2757.8
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
2736.8
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
2727.2
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
2724.0
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
2721.3
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
2711.0
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
2708.9
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
2703.1
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
2697.7
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
2676.7
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
2673.3
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
2669.1
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
2652.7
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
2642.5
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
2634.1
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
2623.1
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
2606.9
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
2576.5
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
2534.6
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
2512.4
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
2474.5
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
2473.2
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
2364.0
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
2326.6
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
2282.9
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
2256.6
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
2251.2
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
2204.5
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
2180.2
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
2063.4
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
2052.6
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
2051.1
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
1980.2
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
1925.0
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
1911.2
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
1866.9
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
1835.3
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
841.5
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
120.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.8
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
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
