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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.
SMC4 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
13.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
39.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
35.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
29.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
28.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
26.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
25.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
25.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
25.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
25.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
24.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
24.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
24.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
23.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
23.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
22.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
22.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
22.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
21.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
20.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
20.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
20.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
20.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
19.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
19.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
19.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
19.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
19.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
18.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
18.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
18.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
17.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
17.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
17.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
17.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
16.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
16.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
15.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
15.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
15.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
15.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
15.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
14.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
14.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
14.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
14.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
14.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
14.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
14.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
14.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
13.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
12.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
12.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
12.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
12.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
12.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
11.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
11.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
11.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
10.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
10.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
10.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
9.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
9.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
9.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
9.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
8.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
8.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
8.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
8.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
8.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
8.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
8.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
8.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
7.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
7.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
6.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
6.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
6.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
6.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
5.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
5.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.6
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.
SMC4 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
42.2
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
153.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
121.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
99.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
97.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
93.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
90.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
87.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
87.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
85.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
82.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
82.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
79.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
76.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
75.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
74.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
73.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
73.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
73.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
73.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
72.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
71.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
71.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
68.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
68.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
67.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
66.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
66.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
65.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
65.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
64.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
64.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
63.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
62.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
62.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
62.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
62.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
61.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
61.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
61.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
60.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
59.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
59.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
58.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
57.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
57.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
57.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
56.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
55.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
55.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
55.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
55.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
54.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
54.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
54.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
53.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
53.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
52.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
51.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
50.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
50.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
50.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
48.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
48.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
47.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
47.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
47.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
47.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
46.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
46.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
46.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
45.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
45.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
45.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
45.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
44.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
43.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
42.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
41.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
41.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
41.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
40.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
39.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
39.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
39.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
39.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
39.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
39.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
38.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
38.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
38.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
37.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
37.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
35.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
35.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
35.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
34.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
34.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
34.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
33.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
32.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
32.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
30.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
30.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
30.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
30.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
30.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
29.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
29.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
29.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
29.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
28.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
28.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
28.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
28.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
28.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
28.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
28.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
27.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
27.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
27.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
27.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
27.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
27.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
26.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
26.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
25.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
25.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
25.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
25.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
25.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
25.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
25.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
25.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
25.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
24.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
24.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
24.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
23.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
23.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
23.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
22.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
22.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
22.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
22.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
21.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
21.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
21.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
21.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
20.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
19.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
19.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
19.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
19.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
18.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
18.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
18.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
18.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
17.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
16.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
16.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
15.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
14.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.0
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.
SMC4 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
55.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
53.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
40.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
38.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
31.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
28.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
27.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
26.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
26.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
25.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
25.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
23.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
21.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
21.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
21.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
20.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
19.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
15.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
14.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
14.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
14.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
13.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
13.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
12.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
12.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
12.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
11.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
10.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
10.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
9.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
9.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.4
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.
SMC4 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
39.2
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
98.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
92.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
90.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
83.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
80.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
79.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
76.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
74.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
72.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
72.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
66.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
62.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
61.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
60.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
56.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
56.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
56.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
54.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
53.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
53.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
51.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
50.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
48.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
46.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
41.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
41.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
41.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
38.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
37.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
36.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
35.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
35.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
33.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
31.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
30.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
27.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
27.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
26.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
26.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
25.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
25.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
24.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
24.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
23.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
23.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
23.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
23.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
23.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
22.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
22.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
21.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
21.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
21.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
20.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
20.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
19.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
18.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
18.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
17.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
17.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
16.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
15.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
14.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
13.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
12.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
10.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.0
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
