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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APCDD1 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
32.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
831.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
374.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
323.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
297.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
228.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
228.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
193.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
183.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
160.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
151.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
137.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
136.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
128.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
121.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
121.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
119.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
113.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
112.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
110.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
103.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
102.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
99.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
96.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
77.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
76.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
71.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
71.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
71.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
71.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
67.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
57.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
56.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
53.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
50.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
44.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
44.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
43.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
41.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
39.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
39.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
33.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
31.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
30.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
29.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
28.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
27.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
24.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
23.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
21.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
20.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
19.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
19.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
19.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
19.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
18.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
18.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
17.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
16.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
16.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
15.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
15.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
14.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
13.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
13.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
12.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
12.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
12.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
11.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
11.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
11.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
10.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
10.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
10.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
10.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
10.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
9.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
9.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
9.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
8.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
8.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
8.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
8.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
7.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
7.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
7.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
6.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
6.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
5.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
5.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
5.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
4.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
4.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
4.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
4.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
4.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
4.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
4.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
3.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
3.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
3.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
0.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
0.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
APCDD1 is potential prognostic, high expression is favorable 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
59.1
Number of samples
486
Samples
Sample
Description
TPM
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
906.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
487.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
486.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
409.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
393.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
368.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
359.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
356.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
324.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
318.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
317.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
314.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
313.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
308.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
288.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
270.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
266.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
243.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
238.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
234.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
225.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
216.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
213.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
209.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
207.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
205.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
202.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
200.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
199.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
199.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
199.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
192.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
189.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
183.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
180.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
169.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
168.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
167.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
165.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
163.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
162.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
160.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
153.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
150.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
147.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
146.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
142.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
140.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
139.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
137.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
136.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
133.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
131.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
127.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
126.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
124.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
123.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
122.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
121.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
120.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
120.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
119.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
119.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
118.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
118.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
116.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
115.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
114.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
110.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
110.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
109.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
108.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
107.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
104.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
104.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
104.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
104.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
103.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
102.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
99.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
99.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
97.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
95.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
95.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
93.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
93.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
91.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
90.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
89.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
89.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
84.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
84.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
84.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
83.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
83.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
82.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
82.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
82.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
81.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
80.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
78.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
76.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
76.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
76.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
72.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
71.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
69.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
69.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
69.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
68.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
68.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
67.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
67.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
66.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
65.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
64.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
64.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
64.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
62.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
61.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
61.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
61.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
60.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
59.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
57.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
56.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
55.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
53.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
53.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
52.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
52.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
50.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
46.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
46.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
43.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
40.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
39.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
38.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
38.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
38.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
37.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
35.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
34.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
33.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
32.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
32.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
32.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
31.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
31.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
30.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
30.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
30.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
29.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
29.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
29.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
27.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
27.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
27.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
27.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
27.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
27.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
27.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
27.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
27.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
26.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
25.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
25.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
25.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
25.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
25.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
24.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
24.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
24.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
24.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
24.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
24.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
24.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
23.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
23.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
23.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
23.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
23.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
23.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
23.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
23.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
23.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
22.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
22.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
22.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
22.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
22.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
21.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
21.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
21.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
21.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
21.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
21.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
20.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
20.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
20.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
20.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
20.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
19.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
19.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
19.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
19.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
19.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
19.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
18.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
18.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
18.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
18.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
18.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
18.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
18.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
18.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
18.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
18.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
18.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
17.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
17.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
17.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
17.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
17.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
17.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
17.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
17.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
17.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
17.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
17.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
17.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
17.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
17.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
17.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
16.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
16.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
16.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
16.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
16.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
16.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
16.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
16.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
16.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
16.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
16.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
16.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
16.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
16.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
15.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
15.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
15.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
15.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
15.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
15.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
15.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
15.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
15.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
15.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
14.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
14.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
14.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
14.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
14.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
13.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
13.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
13.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
13.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
13.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
13.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
13.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
13.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
13.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
13.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
13.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
13.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
12.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
12.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
12.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
12.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
12.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
12.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
12.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
12.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
12.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
12.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
12.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
12.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
12.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
12.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
11.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
11.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
11.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
11.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
11.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
11.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
11.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
11.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
11.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
11.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
11.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
11.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
10.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
10.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
10.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
10.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
10.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
10.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
10.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
10.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
10.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
10.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
9.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
9.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
9.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
9.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
9.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
9.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
9.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
9.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
9.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
9.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
9.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
9.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
9.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
9.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
8.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
8.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
8.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
8.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
8.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
8.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
8.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
8.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
8.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
8.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
8.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
8.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
8.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
7.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
7.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
7.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
7.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
7.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
7.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
6.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
6.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
6.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
6.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
6.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
6.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
6.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
5.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
5.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
5.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
5.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
5.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
5.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
4.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
4.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
4.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
4.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
3.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
3.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APCDD1 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
44.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
472.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
253.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
203.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
186.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
168.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
156.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
134.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
125.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
116.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
108.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
97.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
91.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
83.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
83.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
74.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
70.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
69.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
67.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
57.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
51.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
40.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
38.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
38.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
38.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
37.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
31.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
29.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
28.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
24.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
19.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
18.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
16.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
14.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
13.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
10.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
8.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
7.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
7.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
6.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
6.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
5.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
4.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
3.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 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.
APCDD1 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
81.8
Number of samples
207
Samples
Sample
Description
TPM
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
539.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
487.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
460.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
331.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
321.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
319.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
318.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
313.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
312.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
308.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
277.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
264.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
252.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
238.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
238.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
235.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
228.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
205.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
203.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
194.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
190.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
189.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
188.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
187.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
186.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
184.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
181.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
181.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
172.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
171.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
159.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
158.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
154.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
152.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
152.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
141.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
141.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
139.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
138.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
134.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
134.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
131.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
126.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
122.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
122.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
120.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
117.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
110.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
106.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
106.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
100.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
100.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
97.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
96.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
95.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
92.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
90.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
88.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
86.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
84.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
82.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
81.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
81.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
80.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
79.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
78.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
78.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
78.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
76.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
73.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
72.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
72.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
72.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
71.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
70.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
70.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
68.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
67.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
66.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
65.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
64.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
62.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
62.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
60.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
60.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
59.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
59.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
57.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
57.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
53.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
52.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
47.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
46.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
33.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
30.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
30.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
29.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
28.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
27.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
26.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
25.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
24.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
23.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
23.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
22.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
22.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
22.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
22.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
22.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
21.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
21.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
20.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
20.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
19.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
19.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
18.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
18.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
18.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
17.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
17.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
17.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
16.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
16.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
16.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
16.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
16.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
15.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
15.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
15.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
15.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
15.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
14.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
14.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
14.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
13.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
12.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
11.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
11.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
10.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
8.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
8.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
8.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
5.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
5.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
5.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
4.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
4.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
3.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
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
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
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
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
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
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_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
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
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
bc574f73-89ba-44d7-992e-82622c_D3
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
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
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
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
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
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
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
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_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
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
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
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_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
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
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
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_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
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_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
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
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
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
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
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
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
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
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
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
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
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
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
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
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.
The Human Protein Atlas project is funded
