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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.
USP7 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
21.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
61.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
55.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
54.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
43.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
40.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
38.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
38.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
38.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
36.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
34.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
32.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
31.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
31.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
31.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
31.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
31.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
30.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
29.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
29.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
29.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
29.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
29.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
29.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
28.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
28.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
28.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
28.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
28.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
28.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
28.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
28.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
27.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
27.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
27.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
26.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
26.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
26.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
26.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
26.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
25.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
24.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
24.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
24.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
24.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
24.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
23.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
22.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
22.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
22.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
21.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
21.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
21.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
21.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
21.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
19.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
19.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
19.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
18.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
18.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
18.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
18.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
18.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
16.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
16.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
16.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
16.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
15.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
15.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
15.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
14.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
14.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
14.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
13.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
13.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
13.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
13.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
12.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
11.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
9.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
9.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
USP7 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
60.9
Number of samples
486
Samples
Sample
Description
TPM
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
123.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
123.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
110.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
107.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
107.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
106.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
104.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
103.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
98.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
98.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
98.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
97.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
96.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
94.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
94.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
93.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
92.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
91.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
90.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
90.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
89.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
89.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
89.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
89.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
89.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
88.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
88.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
88.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
87.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
87.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
87.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
86.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
86.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
86.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
86.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
86.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
84.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
83.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
83.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
83.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
83.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
83.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
83.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
82.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
82.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
81.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
81.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
81.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
81.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
81.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
81.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
81.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
81.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
81.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
81.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
81.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
80.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
80.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
80.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
80.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
79.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
79.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
79.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
79.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
79.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
79.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
79.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
78.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
78.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
77.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
77.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
77.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
77.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
76.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
76.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
76.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
76.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
75.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
75.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
75.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
75.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
75.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
75.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
74.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
74.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
74.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
73.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
73.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
73.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
73.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
73.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
72.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
72.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
72.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
72.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
72.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
72.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
71.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
71.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
71.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
71.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
71.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
70.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
70.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
70.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
69.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
69.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
69.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
69.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
69.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
68.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
68.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
68.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
68.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
68.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
68.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
68.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
68.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
67.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
67.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
67.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
67.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
67.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
67.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
67.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
66.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
66.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
66.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
66.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
66.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
66.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
66.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
66.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
66.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
65.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
65.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
65.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
64.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
64.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
64.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
64.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
64.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
64.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
64.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
64.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
63.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
63.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
63.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
63.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
63.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
63.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
63.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
63.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
62.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
62.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
62.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
62.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
62.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
62.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
61.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
61.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
61.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
60.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
60.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
60.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
60.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
60.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
60.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
60.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
60.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
60.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
60.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
59.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
59.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
58.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
58.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
58.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
58.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
58.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
58.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
57.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
57.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
57.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
57.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
56.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
56.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
56.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
56.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
55.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
55.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
55.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
55.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
55.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
55.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
54.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
54.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
54.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
54.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
54.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
53.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
53.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
53.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
53.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
53.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
53.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
53.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
52.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
52.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
52.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
52.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
52.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
51.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
51.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
51.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
51.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
51.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
50.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
50.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
50.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
50.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
49.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
48.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
47.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
47.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
44.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
44.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
44.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
44.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
43.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
42.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
37.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
35.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
34.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
30.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
21.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
21.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
USP7 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
24.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
50.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
46.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
44.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
43.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
43.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
37.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
35.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
33.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
31.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
31.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
30.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
30.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
27.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
25.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
24.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
24.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
24.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
24.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
23.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
23.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
22.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
22.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
21.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
21.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
20.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
19.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
19.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
17.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
16.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
16.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
12.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
USP7 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
62.9
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
116.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
110.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
107.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
104.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
103.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
97.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
95.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
94.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
93.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
92.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
91.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
90.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
89.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
87.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
87.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
87.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
86.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
85.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
85.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
84.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
84.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
83.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
83.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
82.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
82.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
81.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
80.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
80.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
80.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
79.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
78.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
77.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
77.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
77.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
76.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
76.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
76.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
75.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
75.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
75.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
75.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
75.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
75.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
75.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
75.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
74.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
73.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
73.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
73.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
73.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
73.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
73.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
73.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
72.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
72.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
71.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
71.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
71.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
71.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
70.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
70.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
70.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
69.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
69.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
69.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
68.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
68.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
67.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
67.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
67.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
67.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
67.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
67.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
66.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
65.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
65.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
65.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
65.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
65.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
64.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
64.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
64.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
63.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
63.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
63.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
62.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
62.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
61.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
61.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
60.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
60.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
59.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
59.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
57.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
57.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
57.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
56.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
56.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
55.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
55.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
55.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
54.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
52.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
51.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
48.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
48.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
46.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
44.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
44.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
43.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
42.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
39.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
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Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
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Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
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Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
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Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
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Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
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
