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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.
NUP98 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
26.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
78.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
64.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
63.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
55.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
55.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
42.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
41.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
41.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
40.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
39.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
38.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
36.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
35.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
35.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
35.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
34.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
34.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
34.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
33.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
33.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
33.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
33.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
33.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
33.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
32.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
32.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
32.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
32.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
31.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
31.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
30.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
29.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
29.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
29.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
29.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
29.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
29.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
29.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
29.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
29.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
28.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
28.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
28.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
28.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
28.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
28.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
28.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
27.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
27.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
27.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
27.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
26.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
26.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
26.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
25.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
25.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
25.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
24.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
24.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
24.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
23.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
23.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
23.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
23.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
23.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
22.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
22.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
21.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
21.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
21.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
21.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
21.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
21.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
20.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
20.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
20.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
20.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
20.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
19.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
19.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
19.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
18.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
18.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
18.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
18.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
17.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
16.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
16.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
15.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
13.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUP98 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
88.1
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
180.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
174.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
153.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
150.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
146.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
141.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
140.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
137.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
136.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
136.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
135.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
134.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
133.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
132.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
130.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
129.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
128.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
127.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
126.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
125.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
123.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
123.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
120.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
120.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
120.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
119.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
119.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
117.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
116.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
116.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
115.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
115.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
115.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
115.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
115.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
115.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
115.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
114.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
114.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
113.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
113.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
113.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
113.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
112.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
112.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
112.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
112.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
112.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
112.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
111.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
111.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
111.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
111.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
111.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
111.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
111.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
110.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
110.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
110.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
109.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
109.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
109.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
109.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
108.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
108.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
108.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
108.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
108.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
108.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
108.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
107.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
107.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
107.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
107.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
107.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
106.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
106.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
105.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
105.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
105.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
104.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
104.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
104.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
104.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
104.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
104.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
104.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
103.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
103.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
103.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
103.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
103.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
103.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
103.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
103.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
102.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
102.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
102.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
102.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
102.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
102.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
101.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
101.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
100.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
100.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
100.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
100.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
100.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
100.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
100.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
100.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
100.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
100.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
99.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
99.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
99.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
99.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
99.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
99.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
99.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
99.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
98.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
98.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
98.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
98.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
98.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
98.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
98.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
98.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
98.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
97.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
97.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
97.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
97.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
97.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
97.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
97.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
97.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
96.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
96.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
96.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
96.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
96.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
96.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
96.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
96.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
96.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
96.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
96.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
96.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
95.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
95.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
95.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
95.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
94.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
94.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
94.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
94.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
94.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
94.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
94.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
94.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
93.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
93.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
93.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
93.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
93.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
93.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
93.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
92.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
92.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
92.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
92.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
92.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
92.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
92.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
92.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
92.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
92.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
91.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
91.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
91.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
91.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
91.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
91.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
91.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
91.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
91.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
91.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
91.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
91.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
90.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
90.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
90.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
90.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
90.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
90.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
90.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
90.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
90.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
90.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
89.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
89.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
89.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
89.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
89.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
89.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
89.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
89.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
89.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
88.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
88.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
88.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
88.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
88.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
88.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
88.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
88.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
88.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
88.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
88.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
88.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
88.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
87.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
87.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
87.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
87.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
87.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
87.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
87.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
87.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
87.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
87.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
87.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
87.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
87.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
86.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
86.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
86.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
86.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
86.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
86.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
86.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
86.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
86.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
86.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
86.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
86.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
86.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
85.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
85.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
85.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
85.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
85.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
85.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
85.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
85.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
85.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
84.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
84.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
84.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
84.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
84.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
84.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
84.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
84.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
83.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
83.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
83.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
83.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
83.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
83.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
83.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
83.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
83.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
82.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
82.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
82.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
82.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
82.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
82.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
82.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
81.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
81.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
81.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
81.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
81.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
81.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
81.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
81.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
80.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
80.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
80.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
80.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
80.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
80.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
80.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
80.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
80.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
79.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
79.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
79.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
79.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
79.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
79.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
78.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
78.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
78.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
78.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
78.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
78.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
78.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
77.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
77.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
77.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
77.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
77.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
77.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
77.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
77.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
76.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
76.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
76.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
76.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
76.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
76.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
76.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
75.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
75.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
75.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
75.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
75.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
75.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
75.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
75.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
75.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
75.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
74.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
74.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
74.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
74.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
74.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
74.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
74.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
74.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
74.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
74.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
73.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
73.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
73.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
73.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
73.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
73.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
73.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
72.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
72.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
72.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
72.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
71.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
71.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
71.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
71.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
70.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
70.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
70.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
70.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
70.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
70.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
70.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
70.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
69.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
69.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
69.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
69.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
69.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
69.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
68.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
68.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
68.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
68.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
68.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
67.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
67.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
67.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
67.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
66.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
66.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
66.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
66.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
65.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
65.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
65.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
64.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
64.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
63.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
63.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
63.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
63.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
63.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
62.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
62.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
62.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
61.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
61.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
60.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
60.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
60.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
59.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
59.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
59.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
59.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
58.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
57.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
56.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
55.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
54.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
53.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
NUP98 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
25.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
45.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
44.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
40.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
36.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
36.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
35.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
35.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
35.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
34.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
32.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
31.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
31.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
26.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
26.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
26.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
25.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
25.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
24.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
24.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
24.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
23.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
23.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
23.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
20.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
19.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
18.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
17.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
17.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
16.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUP98 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
82.5
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
150.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
145.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
141.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
140.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
137.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
136.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
130.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
130.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
124.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
121.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
120.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
118.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
118.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
117.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
115.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
113.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
113.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
112.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
111.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
111.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
111.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
110.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
109.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
109.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
108.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
107.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
107.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
106.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
104.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
104.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
103.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
103.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
100.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
99.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
99.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
99.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
99.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
99.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
98.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
98.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
98.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
98.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
97.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
97.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
96.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
96.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
95.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
95.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
95.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
95.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
93.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
93.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
93.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
92.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
92.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
92.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
92.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
91.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
91.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
90.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
88.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
88.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
88.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
87.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
87.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
87.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
87.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
87.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
86.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
86.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
86.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
86.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
85.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
85.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
85.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
85.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
85.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
85.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
84.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
84.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
84.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
84.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
84.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
83.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
83.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
82.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
82.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
82.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
82.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
82.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
81.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
81.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
81.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
81.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
80.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
80.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
79.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
79.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
79.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
79.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
79.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
78.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
78.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
78.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
78.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
78.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
78.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
78.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
77.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
77.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
77.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
77.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
77.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
76.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
76.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
75.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
75.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
75.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
75.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
74.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
74.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
74.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
74.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
74.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
73.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
73.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
73.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
73.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
73.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
72.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
72.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
71.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
71.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
71.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
70.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
70.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
69.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
69.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
69.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
69.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
68.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
68.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
68.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
68.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
67.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
67.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
67.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
67.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
66.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
66.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
66.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
66.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
65.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
65.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
65.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
64.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
63.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
63.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
62.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
62.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
59.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
59.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
59.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
59.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
59.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
58.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
55.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
54.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
54.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
53.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
53.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
50.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
50.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
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Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
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Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
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Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
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Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
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Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
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Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
