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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.
NUB1 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
37.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
135.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
87.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
81.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
78.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
76.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
73.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
72.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
70.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
66.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
65.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
63.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
62.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
61.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
60.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
60.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
60.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
59.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
58.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
55.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
52.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
52.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
52.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
51.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
50.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
50.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
50.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
49.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
49.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
49.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
48.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
47.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
47.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
47.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
46.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
46.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
46.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
45.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
44.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
44.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
43.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
43.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
43.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
43.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
43.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
43.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
42.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
42.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
42.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
42.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
41.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
40.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
40.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
40.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
40.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
40.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
40.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
40.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
39.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
39.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
39.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
39.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
39.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
38.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
38.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
38.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
38.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
37.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
36.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
36.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
36.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
35.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
35.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
34.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
32.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
32.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
32.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
32.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
32.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
31.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
31.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
31.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
31.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
30.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
30.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
30.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
30.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
30.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
29.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
29.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
29.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
28.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
28.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
28.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
28.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
27.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
27.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
27.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
26.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
26.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
26.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
26.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
25.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
25.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
24.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
23.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
23.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
23.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
19.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
19.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
18.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
NUB1 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
71.0
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
231.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
180.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
180.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
172.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
157.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
149.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
147.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
143.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
142.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
142.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
138.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
134.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
134.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
132.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
128.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
128.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
124.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
121.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
120.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
120.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
117.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
117.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
116.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
115.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
113.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
112.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
112.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
112.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
111.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
111.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
111.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
110.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
109.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
109.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
108.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
107.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
106.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
105.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
105.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
104.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
104.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
103.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
103.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
100.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
100.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
100.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
100.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
99.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
99.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
99.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
99.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
98.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
98.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
98.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
97.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
96.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
95.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
95.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
94.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
94.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
94.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
94.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
93.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
93.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
92.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
92.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
92.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
92.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
92.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
91.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
91.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
90.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
90.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
90.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
89.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
89.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
89.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
88.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
87.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
87.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
87.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
87.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
87.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
86.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
86.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
86.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
86.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
86.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
86.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
86.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
85.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
85.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
85.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
85.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
85.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
85.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
85.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
85.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
85.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
85.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
85.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
85.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
84.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
84.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
84.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
83.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
83.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
83.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
83.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
83.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
82.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
82.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
82.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
82.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
82.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
81.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
81.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
81.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
81.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
81.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
80.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
80.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
80.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
80.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
80.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
79.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
79.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
79.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
79.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
79.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
79.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
78.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
78.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
78.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
78.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
78.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
78.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
77.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
77.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
77.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
77.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
77.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
77.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
77.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
76.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
76.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
76.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
76.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
76.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
76.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
76.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
76.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
76.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
75.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
75.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
75.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
74.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
74.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
74.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
74.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
74.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
74.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
74.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
74.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
73.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
73.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
73.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
73.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
73.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
73.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
73.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
72.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
72.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
72.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
72.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
72.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
72.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
72.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
72.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
71.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
71.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
70.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
70.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
69.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
69.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
69.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
69.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
69.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
69.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
69.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
69.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
69.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
69.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
69.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
69.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
68.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
68.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
68.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
67.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
67.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
67.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
67.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
67.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
66.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
66.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
66.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
66.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
66.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
66.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
65.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
65.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
65.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
65.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
65.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
65.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
65.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
64.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
64.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
64.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
64.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
64.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
64.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
64.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
63.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
63.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
63.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
63.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
63.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
62.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
62.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
62.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
62.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
62.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
62.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
62.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
62.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
62.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
61.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
61.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
61.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
61.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
61.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
60.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
60.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
60.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
60.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
60.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
60.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
60.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
60.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
59.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
59.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
59.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
59.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
59.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
59.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
59.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
59.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
59.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
58.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
58.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
58.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
58.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
57.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
57.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
57.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
56.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
56.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
55.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
55.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
55.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
55.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
55.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
54.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
54.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
54.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
54.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
54.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
54.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
53.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
53.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
53.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
53.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
51.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
51.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
50.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
50.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
49.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
48.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
48.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
47.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
46.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
44.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
42.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
41.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
36.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
24.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
23.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
10.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUB1 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
39.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
102.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
90.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
70.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
68.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
68.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
67.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
64.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
62.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
59.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
58.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
56.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
54.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
53.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
47.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
46.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
45.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
43.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
40.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
40.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
38.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
38.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
37.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
35.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
35.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
35.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
33.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
31.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
27.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
26.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
23.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
23.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
21.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
18.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUB1 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
64.5
Number of samples
207
Samples
Sample
Description
TPM
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
155.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
118.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
116.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
116.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
115.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
112.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
109.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
106.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
104.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
103.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
102.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
101.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
101.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
100.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
96.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
95.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
94.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
93.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
92.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
92.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
91.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
90.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
89.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
87.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
84.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
84.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
83.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
83.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
83.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
82.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
82.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
82.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
81.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
81.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
81.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
80.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
80.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
79.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
79.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
78.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
78.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
78.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
78.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
77.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
77.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
77.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
75.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
74.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
74.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
72.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
72.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
72.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
72.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
71.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
71.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
71.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
70.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
70.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
69.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
69.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
68.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
67.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
67.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
66.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
65.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
65.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
65.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
65.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
65.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
64.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
64.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
63.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
63.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
63.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
62.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
62.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
62.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
61.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
60.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
60.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
60.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
59.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
59.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
59.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
59.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
59.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
58.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
58.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
58.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
58.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
56.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
56.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
56.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
55.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
55.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
54.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
54.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
53.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
53.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
52.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
52.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
52.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
50.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
50.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
49.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
49.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
49.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
45.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
45.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
44.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
40.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
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Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
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
0.3
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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
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Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
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Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
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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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Normal
0.1
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Normal
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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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
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Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
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Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
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Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
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Tumor
-0.1
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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
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Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
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Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
