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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.
NUP50 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
17.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
57.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
51.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
34.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
32.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
30.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
30.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
29.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
29.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
29.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
26.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
25.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
25.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
23.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
23.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
22.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
22.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
22.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
22.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
21.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
21.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
21.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
21.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
20.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
20.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
20.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
20.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
20.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
19.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
19.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
19.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
18.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
18.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
18.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
17.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
17.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
17.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
17.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
17.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
17.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
17.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
17.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
16.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
16.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
16.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
16.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
16.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
16.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
15.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
15.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
15.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
15.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
14.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
14.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
14.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
14.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
14.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
14.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
14.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
13.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
13.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
13.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
13.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
13.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
13.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
13.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
12.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
12.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
11.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
11.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
10.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
10.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
10.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
10.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
9.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
9.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
8.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
7.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
NUP50 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
48.5
Number of samples
486
Samples
Sample
Description
TPM
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
101.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
99.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
94.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
91.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
90.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
82.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
82.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
80.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
80.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
77.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
77.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
76.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
75.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
75.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
73.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
73.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
72.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
72.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
72.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
72.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
70.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
70.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
70.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
69.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
69.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
68.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
68.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
67.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
67.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
67.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
67.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
66.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
66.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
65.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
65.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
65.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
65.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
65.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
65.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
64.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
64.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
64.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
64.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
64.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
63.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
63.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
63.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
62.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
62.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
62.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
62.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
62.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
61.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
61.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
61.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
61.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
61.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
60.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
60.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
60.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
60.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
60.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
59.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
59.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
58.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
58.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
58.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
57.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
57.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
57.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
57.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
56.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
56.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
56.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
56.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
55.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
54.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
54.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
54.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
54.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
54.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
54.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
53.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
53.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
53.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
52.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
52.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
52.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
52.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
51.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
51.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
50.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
50.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
48.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
48.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
46.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
46.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
46.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
45.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
45.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
45.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
44.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
44.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
43.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
43.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
43.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
43.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
43.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
42.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
42.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
42.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
41.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
41.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
41.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
37.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
37.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
36.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
36.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
36.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
33.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
33.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
32.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
30.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
30.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
29.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
27.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
27.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
27.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
26.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
26.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
26.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
25.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.2
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.
NUP50 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
16.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
35.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
34.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
27.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
26.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
24.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
23.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
22.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
22.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
21.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
19.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
19.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
18.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
18.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
18.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
18.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
17.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
17.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
17.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
17.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
16.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
15.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
14.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
14.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
13.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
13.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
13.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
12.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
12.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
12.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
10.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
10.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 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.
NUP50 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
42.7
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
76.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
75.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
73.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
73.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
69.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
65.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
63.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
62.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
61.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
58.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
58.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
58.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
57.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
55.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
53.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
53.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
52.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
52.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
52.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
48.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
48.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
47.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
47.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
46.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
46.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
46.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
45.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
44.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
44.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
42.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
41.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
41.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
40.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
39.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
37.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
36.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
35.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
35.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
34.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
33.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
33.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
33.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
32.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
27.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
26.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
