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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.
TOP2B 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
20.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
57.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
55.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
47.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
45.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
44.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
42.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
38.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
35.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
32.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
32.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
32.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
29.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
29.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
29.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
29.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
27.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
27.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
27.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
27.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
27.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
27.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
26.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
26.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
25.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
25.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
25.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
25.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
25.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
25.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
24.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
24.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
24.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
24.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
24.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
24.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
23.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
23.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
23.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
22.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
22.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
22.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
21.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
21.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
21.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
21.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
21.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
21.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
21.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
21.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
21.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
20.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
20.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
20.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
20.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
20.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
19.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
19.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
19.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
19.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
18.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
18.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
18.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
18.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
18.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
18.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
18.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
18.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
17.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
17.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
16.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
16.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
16.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
15.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
15.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
15.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
14.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
13.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
13.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
11.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
11.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
11.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TOP2B is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
48.7
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
94.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
88.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
81.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
81.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
80.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
80.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
79.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
78.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
77.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
75.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
74.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
74.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
73.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
73.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
72.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
71.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
71.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
70.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
70.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
70.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
68.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
68.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
68.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
67.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
66.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
66.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
66.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
65.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
65.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
64.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
64.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
64.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
64.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
63.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
63.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
63.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
62.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
61.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
61.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
60.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
60.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
59.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
59.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
59.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
59.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
59.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
59.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
59.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
59.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
58.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
58.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
58.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
58.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
57.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
57.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
56.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
56.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
56.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
56.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
55.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
54.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
54.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
53.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
53.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
53.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
53.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
52.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
52.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
52.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
51.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
51.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
51.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
51.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
51.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
51.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
50.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
50.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
50.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
49.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
49.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
49.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
49.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
49.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
48.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
48.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
48.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
47.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
47.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
47.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
47.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
47.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
47.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
46.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
46.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
46.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
45.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
45.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
45.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
45.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
45.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
45.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
45.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
44.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
44.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
43.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
43.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
43.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
43.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
42.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
41.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
41.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
41.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
40.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
40.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
40.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
38.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
37.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
37.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
36.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
36.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
35.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
33.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
32.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
31.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
30.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
29.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
29.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
25.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
24.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
16.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TOP2B is potential prognostic, high expression is favorable 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
22.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
46.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
43.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
41.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
40.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
40.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
35.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
33.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
32.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
31.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
29.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
29.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
29.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
27.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
25.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
24.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
22.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
21.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
20.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
20.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
20.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
19.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
18.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
17.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
17.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
13.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
10.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
10.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TOP2B 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
48.0
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
99.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
79.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
77.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
75.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
75.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
74.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
73.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
70.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
70.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
69.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
69.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
67.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
66.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
65.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
61.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
60.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
60.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
60.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
58.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
58.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
56.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
55.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
55.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
55.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
54.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
54.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
52.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
48.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
47.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
47.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
46.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
46.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
45.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
45.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
43.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
43.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
42.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
41.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
36.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
33.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
27.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
23.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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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
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
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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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
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
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Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Tumor
0.0
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Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
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Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
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Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.