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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.
PADI2 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
14.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
122.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
118.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
105.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
94.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
90.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
82.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
73.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
59.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
57.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
55.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
53.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
53.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
45.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
43.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
39.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
38.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
38.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
35.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
35.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
34.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
33.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
30.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
30.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
30.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
29.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
28.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
28.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
24.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
23.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
22.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
22.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
21.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
19.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
18.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
18.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
16.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
16.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
14.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
13.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
13.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
13.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
13.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
12.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
12.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
12.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
11.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
11.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
10.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
10.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
9.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
9.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
8.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
8.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
8.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
8.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
7.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
7.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
7.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
7.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
6.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
6.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
6.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
5.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
5.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
5.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
5.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
5.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
4.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
4.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
4.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
4.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
4.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
4.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
3.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
3.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
3.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
2.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
0.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
0.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
0.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
PADI2 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
31.5
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
247.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
203.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
161.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
151.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
146.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
130.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
130.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
125.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
123.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
115.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
113.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
107.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
104.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
102.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
102.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
101.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
100.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
100.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
98.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
98.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
97.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
95.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
94.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
90.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
89.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
89.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
89.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
87.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
85.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
84.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
82.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
80.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
80.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
79.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
77.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
76.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
75.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
75.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
72.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
71.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
71.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
69.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
69.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
65.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
65.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
65.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
64.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
60.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
60.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
57.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
55.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
55.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
54.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
54.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
54.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
53.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
53.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
53.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
50.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
50.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
49.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
47.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
43.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
43.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
42.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
41.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
40.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
40.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
38.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
37.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
33.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
32.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
32.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
32.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
32.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
31.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
31.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
30.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
29.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
29.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
29.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
29.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
28.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
28.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
28.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
28.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
27.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
27.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
27.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
27.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
27.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
27.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
27.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
27.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
26.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
26.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
26.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
26.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
26.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
26.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
25.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
25.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
25.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
24.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
24.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
24.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
24.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
24.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
24.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
23.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
23.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
23.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
23.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
22.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
22.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
22.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
22.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
22.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
22.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
22.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
21.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
21.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
20.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
20.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
20.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
20.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
20.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
20.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
20.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
20.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
20.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
20.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
20.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
20.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
19.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
19.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
19.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
19.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
19.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
19.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
18.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
18.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
18.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
18.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
18.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
18.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
18.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
18.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
18.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
18.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
17.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
17.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
17.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
17.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
17.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
17.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
17.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
17.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
16.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
16.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
16.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
16.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
16.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
16.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
15.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
15.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
15.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
15.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
15.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
15.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
15.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
15.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
15.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
14.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
14.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
14.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
14.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
14.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
14.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
14.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
14.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
13.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
13.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
13.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
13.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
13.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
13.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
13.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
13.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
13.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
13.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
13.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
13.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
13.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
13.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
13.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
12.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
12.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
12.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
12.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
12.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
12.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
12.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
12.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
12.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
12.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
11.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
11.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
11.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
11.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
11.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
11.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
11.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
11.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
11.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
11.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
11.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
10.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
10.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
10.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
10.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
10.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
10.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
10.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
10.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
10.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
10.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
9.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
9.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
9.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
9.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
9.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
9.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
9.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
9.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
9.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
9.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
9.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
9.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
9.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
9.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
9.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
9.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
8.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
8.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
8.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
8.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
8.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
8.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
8.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
8.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
7.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
7.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
7.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
7.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
7.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
7.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
7.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
7.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
7.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
7.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
7.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
7.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
7.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
6.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
6.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
6.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
6.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
6.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
6.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
6.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
6.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
6.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
6.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
6.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
6.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
6.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
6.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
6.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
6.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
6.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
5.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
5.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
5.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
5.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
5.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
5.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
5.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
5.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
5.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
5.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
5.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
5.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
5.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
5.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
5.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
5.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
5.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
4.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
4.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
4.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
4.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
4.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
4.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
4.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
4.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
4.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
4.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
4.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
3.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
3.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
3.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
3.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
3.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
3.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
3.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
2.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
2.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
2.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
2.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
2.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
2.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
0.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
0.5
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.
PADI2 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
14.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
108.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
61.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
21.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
20.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
20.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
20.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
17.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
17.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
15.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
13.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
13.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
12.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
11.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
10.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
10.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
8.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
8.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
7.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
5.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
4.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
4.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
3.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
3.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
PADI2 is potential prognostic, high expression is unfavorable 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
28.7
Number of samples
207
Samples
Sample
Description
TPM
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
94.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
91.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
90.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
88.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
87.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
85.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
84.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
76.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
75.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
70.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
69.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
69.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
68.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
66.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
63.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
63.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
61.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
60.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
56.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
53.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
42.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
41.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
38.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
38.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
37.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
32.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
31.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
29.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
29.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
29.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
28.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
27.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
27.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
27.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
26.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
25.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
24.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
23.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
22.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
22.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
20.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
20.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
20.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
20.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
19.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
19.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
19.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
18.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
18.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
17.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
17.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
17.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
17.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
17.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
16.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
16.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
15.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
15.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
15.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
15.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
15.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
14.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
14.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
14.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
14.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
14.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
13.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
13.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
13.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
13.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
13.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
12.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
12.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
12.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
12.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
12.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
12.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
12.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
12.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
12.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
11.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
11.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
11.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
10.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
10.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
10.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
10.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
10.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
10.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
10.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
9.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
9.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
9.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
9.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
9.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
9.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
9.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
8.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
8.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
8.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
8.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
8.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
8.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
7.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
7.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
7.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
7.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
7.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
6.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
6.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
6.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
6.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
5.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
5.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
4.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
4.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
4.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
4.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
4.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
4.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
3.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
3.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
3.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
3.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
3.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
3.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
3.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
2.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
2.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
2.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
2.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
1.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
1.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
1.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
1.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
1.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
1.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
1.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
1.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.9
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.9
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.9
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.9
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.4
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
