We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
TNFRSF6B 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
63.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
931.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
729.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
702.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
587.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
529.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
444.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
403.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
394.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
313.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
302.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
292.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
276.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
237.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
232.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
229.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
202.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
202.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
196.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
187.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
187.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
178.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
176.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
168.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
165.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
162.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
152.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
152.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
146.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
141.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
130.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
130.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
124.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
119.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
117.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
113.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
111.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
110.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
109.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
104.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
103.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
100.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
98.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
97.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
96.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
92.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
88.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
87.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
87.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
84.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
79.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
78.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
76.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
75.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
75.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
75.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
75.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
73.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
72.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
71.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
68.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
64.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
64.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
64.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
63.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
61.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
59.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
58.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
56.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
55.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
55.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
55.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
54.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
49.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
47.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
46.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
45.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
44.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
44.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
44.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
42.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
41.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
40.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
40.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
39.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
37.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
37.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
37.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
36.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
36.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
34.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
31.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
31.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
29.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
27.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
27.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
26.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
25.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
25.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
25.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
23.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
23.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
22.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
20.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
19.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
19.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
18.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
18.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
17.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
16.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
16.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
16.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
16.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
15.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
14.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
13.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
12.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
11.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
10.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
9.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
9.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
9.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
8.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
7.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
7.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
7.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
6.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
6.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
6.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
6.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
6.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
6.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
5.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
5.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
4.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
4.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
4.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
4.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
4.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
3.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
0.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
0.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
0.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 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.
TNFRSF6B 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
77.0
Number of samples
486
Samples
Sample
Description
TPM
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1108.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
810.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
769.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
634.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
567.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
536.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
446.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
430.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
427.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
416.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
374.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
369.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
367.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
339.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
334.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
324.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
317.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
314.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
311.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
310.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
308.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
304.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
292.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
287.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
283.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
268.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
268.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
262.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
251.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
247.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
247.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
245.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
244.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
244.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
244.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
243.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
238.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
232.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
224.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
218.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
213.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
205.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
204.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
201.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
198.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
198.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
194.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
193.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
192.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
188.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
186.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
186.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
185.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
185.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
183.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
182.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
178.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
176.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
174.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
173.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
172.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
171.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
170.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
168.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
167.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
158.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
158.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
157.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
156.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
155.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
154.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
152.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
148.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
147.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
147.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
147.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
144.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
142.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
140.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
136.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
136.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
136.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
135.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
135.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
134.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
133.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
132.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
130.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
130.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
130.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
127.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
127.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
124.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
123.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
122.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
119.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
118.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
118.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
117.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
116.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
116.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
115.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
115.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
115.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
115.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
114.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
113.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
111.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
111.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
107.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
106.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
103.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
103.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
103.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
101.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
100.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
99.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
98.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
95.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
95.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
95.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
93.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
93.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
92.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
92.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
92.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
91.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
91.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
90.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
90.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
89.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
89.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
88.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
86.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
86.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
86.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
85.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
84.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
84.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
82.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
82.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
81.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
80.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
79.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
78.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
78.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
77.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
76.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
75.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
74.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
73.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
72.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
72.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
72.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
69.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
69.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
68.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
66.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
66.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
65.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
65.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
64.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
64.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
64.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
63.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
62.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
62.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
62.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
62.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
61.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
60.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
60.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
59.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
59.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
58.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
57.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
56.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
54.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
53.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
35.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
35.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
34.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
34.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
32.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
31.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
31.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
30.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
30.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
29.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
29.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
29.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
28.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
28.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
28.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
28.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
27.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
27.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
26.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
26.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
26.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
25.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
24.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
24.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
24.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
24.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
23.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
23.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
23.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
22.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
22.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
22.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
22.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
22.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
22.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
22.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
21.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
21.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
21.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
21.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
21.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
21.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
21.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
21.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
20.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
20.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
20.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
20.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
20.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
19.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
19.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
19.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
18.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
18.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
18.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
18.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
17.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
17.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
17.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
17.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
17.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
17.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
17.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
17.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
16.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
16.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
16.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
16.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
16.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
16.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
16.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
16.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
15.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
15.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
15.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
15.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
14.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
14.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
14.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
14.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
14.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
14.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
14.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
13.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
13.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
13.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
13.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
13.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
13.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
13.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
13.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
12.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
12.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
12.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
12.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
12.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
12.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
12.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
12.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
12.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
12.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
12.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
12.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
12.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
12.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
12.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
11.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
11.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
11.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
11.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
11.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
11.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
11.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
11.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
11.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
11.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
11.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
11.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
11.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
11.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
11.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
10.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
10.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
10.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
10.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
10.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
10.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
10.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
10.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
10.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
10.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
10.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
10.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
9.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
9.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
9.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
9.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
9.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
9.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
9.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
9.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
8.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
8.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
8.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
8.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
8.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
8.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
8.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
7.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
7.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
7.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
7.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
7.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
7.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
7.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
7.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
7.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
7.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
7.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
7.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
6.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
6.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
6.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
6.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
6.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
6.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
6.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
6.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
6.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
6.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
5.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
5.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
5.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
5.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
5.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
5.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
4.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
4.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
4.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
4.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
4.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
4.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
4.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
4.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
4.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
4.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
3.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
3.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
3.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
3.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
3.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
2.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
2.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
2.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
2.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
2.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
2.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
2.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
2.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
2.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
2.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
0.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
0.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
0.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
0.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
0.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 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.
TNFRSF6B is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
48.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
583.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
260.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
244.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
240.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
209.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
208.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
200.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
161.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
149.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
146.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
140.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
126.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
98.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
90.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
82.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
81.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
76.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
70.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
66.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
65.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
54.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
52.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
47.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
43.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
41.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
40.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
38.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
22.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
19.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
16.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
14.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
14.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
11.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
9.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
9.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
8.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
6.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
6.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
6.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
5.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
3.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
2.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 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.
TNFRSF6B 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
51.1
Number of samples
207
Samples
Sample
Description
TPM
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
590.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
528.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
281.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
258.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
250.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
239.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
225.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
195.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
186.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
176.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
164.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
155.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
150.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
145.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
142.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
134.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
126.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
117.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
112.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
107.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
102.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
102.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
101.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
99.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
99.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
98.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
97.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
96.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
94.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
92.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
85.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
84.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
79.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
78.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
78.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
75.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
75.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
75.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
74.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
74.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
73.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
72.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
70.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
67.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
66.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
64.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
63.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
63.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
62.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
61.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
60.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
59.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
57.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
55.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
48.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
38.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
33.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
31.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
29.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
29.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
27.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
27.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
26.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
24.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
24.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
24.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
23.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
23.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
22.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
22.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
21.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
21.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
20.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
20.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
20.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
19.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
19.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
19.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
18.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
18.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
18.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
17.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
16.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
16.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
16.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
15.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
15.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
15.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
15.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
14.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
14.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
14.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
14.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
12.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
12.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
12.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
12.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
12.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
11.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
11.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
11.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
11.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
11.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
11.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
11.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
10.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
10.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
10.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
10.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
10.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
9.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
9.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
8.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
8.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
8.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
8.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
8.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
8.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
8.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
8.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
8.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
8.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
8.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
7.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
7.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
7.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
6.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
6.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
6.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
6.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
6.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
5.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
4.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
4.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
4.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
3.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
3.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
3.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
3.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
3.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
3.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
2.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
2.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
0.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
2.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
1.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
1.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
1.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
1.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.9
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.9
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.8
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
