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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.
ST3GAL4 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 TPM
28.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
251.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
246.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
244.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
163.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
152.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
142.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
131.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
129.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
116.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
111.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
105.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
103.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
100.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
99.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
99.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
96.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
92.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
89.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
87.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
87.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
82.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
82.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
81.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
78.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
77.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
76.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
69.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
65.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
64.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
60.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
59.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
59.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
59.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
58.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
57.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
56.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
55.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
53.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
53.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
52.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
43.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
39.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
35.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
35.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
35.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
34.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
34.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
33.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
32.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
31.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
29.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
28.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
28.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
27.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
27.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
26.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
25.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
22.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
22.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
22.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
22.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
21.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
21.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
21.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
21.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
21.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
20.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
17.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
17.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
17.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
16.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
15.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
15.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
15.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
14.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
14.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
13.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
13.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
13.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
12.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
12.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
12.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
12.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
12.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
11.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
11.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
11.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
11.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
10.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
10.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
9.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
9.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
9.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
9.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
8.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
8.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
8.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
8.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
8.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
7.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
7.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
7.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
6.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
5.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
5.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
5.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
5.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
5.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
5.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
4.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
4.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
4.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
4.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
3.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
3.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 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.
ST3GAL4 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 TPM
40.5
Number of samples
486
Samples
Sample
Description
TPM
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
321.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
295.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
291.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
273.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
250.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
229.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
218.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
176.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
171.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
162.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
162.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
161.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
156.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
154.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
154.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
151.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
145.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
136.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
132.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
131.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
128.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
126.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
126.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
124.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
117.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
116.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
114.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
113.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
111.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
109.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
105.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
104.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
104.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
102.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
100.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
98.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
95.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
94.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
92.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
92.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
92.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
91.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
91.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
90.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
87.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
87.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
86.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
86.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
83.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
83.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
83.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
82.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
80.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
79.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
78.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
77.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
76.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
76.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
75.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
75.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
75.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
74.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
72.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
71.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
70.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
70.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
68.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
66.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
66.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
66.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
65.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
64.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
63.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
63.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
63.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
61.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
59.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
59.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
58.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
56.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
56.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
56.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
56.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
55.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
54.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
50.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
47.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
45.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
41.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
41.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
40.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
38.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
37.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
34.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
34.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
34.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
33.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
33.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
33.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
32.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
32.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
32.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
31.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
31.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
31.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
30.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
30.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
30.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
29.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
29.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
29.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
29.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
28.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
28.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
28.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
28.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
27.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
27.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
27.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
27.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
27.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
27.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
27.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
26.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
26.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
26.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
25.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
25.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
25.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
25.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
25.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
25.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
24.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
24.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
24.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
24.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
24.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
23.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
23.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
23.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
23.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
23.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
22.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
22.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
22.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
22.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
22.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
22.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
21.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
21.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
21.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
21.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
21.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
21.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
21.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
21.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
20.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
20.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
20.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
20.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
20.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
20.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
20.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
20.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
19.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
19.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
19.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
19.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
19.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
19.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
19.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
19.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
19.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
18.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
18.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
18.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
18.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
18.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
18.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
18.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
18.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
18.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
18.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
18.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
17.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
17.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
17.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
17.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
17.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
17.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
17.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
17.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
17.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
17.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
16.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
16.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
16.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
16.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
16.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
16.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
16.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
16.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
16.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
16.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
16.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
15.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
15.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
15.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
15.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
15.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
15.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
15.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
15.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
15.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
14.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
14.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
14.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
14.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
14.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
14.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
14.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
14.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
14.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
14.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
14.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
14.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
14.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
14.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
13.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
13.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
13.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
13.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
13.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
13.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
13.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
13.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
13.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
13.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
13.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
13.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
12.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
12.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
12.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
12.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
12.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
12.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
12.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
12.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
12.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
12.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
12.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
12.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
12.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
12.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
11.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
11.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
11.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
11.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
11.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
11.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
11.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
11.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
11.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
11.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
11.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
11.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
11.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
11.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
11.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
10.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
10.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
10.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
10.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
10.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
10.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
10.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
10.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
10.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
10.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
10.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
10.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
9.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
9.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
9.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
9.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
9.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
9.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
9.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
9.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
9.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
9.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
9.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
9.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
8.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
8.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
8.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
8.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
8.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
8.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
8.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
8.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
8.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
8.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
8.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
8.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
7.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
7.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
7.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
7.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
7.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
7.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
7.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
7.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
7.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
7.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
7.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
7.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
7.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
7.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
6.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
6.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
6.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
6.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
6.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
5.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
5.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
5.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
5.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
5.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
5.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
5.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
5.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
5.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
5.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
4.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
3.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
3.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
U0074
0 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.
ST3GAL4 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 TPM
30.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
209.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
172.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
142.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
119.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
91.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
91.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
89.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
87.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
71.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
63.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
52.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
47.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
46.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
46.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
39.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
38.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
35.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
31.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
29.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
26.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
26.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
24.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
21.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
17.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
14.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
11.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
11.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
11.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
10.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
9.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
9.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
7.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
3.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
ST3GAL4 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 TPM
46.0
Number of samples
207
Samples
Sample
Description
TPM
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
335.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
233.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
209.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
197.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
182.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
162.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
147.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
140.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
138.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
123.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
122.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
122.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
121.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
118.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
115.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
112.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
104.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
101.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
100.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
99.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
99.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
94.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
90.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
86.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
85.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
83.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
82.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
82.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
81.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
80.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
79.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
77.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
77.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
70.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
68.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
67.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
66.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
66.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
66.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
64.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
60.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
58.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
58.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
55.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
46.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
40.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
37.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
33.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
32.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
31.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
29.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
29.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
28.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
28.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
27.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
27.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
27.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
27.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
27.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
26.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
25.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
24.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
24.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
23.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
22.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
22.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
21.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
20.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
20.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
20.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
20.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
20.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
18.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
18.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
17.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
17.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
17.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
16.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
16.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
16.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
16.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
15.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
15.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
15.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
15.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
15.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
15.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
14.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
14.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
14.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
14.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
14.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
13.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
13.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
13.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
12.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
12.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
12.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
12.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
12.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
11.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
11.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
10.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
10.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
9.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
9.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
9.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
9.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
8.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
8.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
8.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
8.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
8.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
7.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
6.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
6.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
6.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
6.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
6.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
5.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
4.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
3.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
1.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
1.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
1.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
1.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
1.1
963fc8db-f412-4427-a198-23f660_D2
Normal
1.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
1.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.9
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
