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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.
ICAM1 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
25.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
130.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
118.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
100.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
93.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
90.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
84.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
81.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
78.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
77.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
75.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
72.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
72.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
71.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
61.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
57.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
57.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
56.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
56.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
54.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
54.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
54.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
52.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
50.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
50.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
48.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
44.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
44.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
41.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
41.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
41.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
40.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
40.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
40.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
39.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
38.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
38.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
38.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
38.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
38.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
37.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
36.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
34.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
33.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
33.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
32.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
31.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
31.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
30.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
29.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
27.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
27.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
26.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
26.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
25.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
25.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
25.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
24.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
24.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
24.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
23.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
23.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
23.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
23.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
22.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
21.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
21.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
21.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
21.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
20.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
20.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
20.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
20.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
19.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
19.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
18.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
18.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
18.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
17.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
17.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
17.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
17.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
17.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
16.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
15.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
14.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
14.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
14.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
14.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
14.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
13.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
12.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
12.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
12.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
11.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
10.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
10.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
10.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
9.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
9.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
9.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
9.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
8.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
8.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
7.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
6.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
5.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 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.
ICAM1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
51.3
Number of samples
486
Samples
Sample
Description
TPM
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
335.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
246.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
213.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
204.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
198.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
198.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
195.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
194.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
186.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
162.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
159.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
158.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
158.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
145.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
140.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
139.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
139.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
130.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
130.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
128.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
127.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
126.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
122.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
122.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
121.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
118.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
118.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
114.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
114.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
114.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
112.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
109.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
108.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
105.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
103.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
103.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
102.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
102.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
101.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
100.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
99.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
98.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
97.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
96.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
96.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
95.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
95.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
94.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
93.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
92.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
92.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
90.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
89.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
89.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
88.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
88.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
87.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
87.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
87.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
86.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
86.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
86.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
86.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
85.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
85.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
84.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
84.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
84.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
83.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
82.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
82.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
81.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
81.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
81.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
80.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
80.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
80.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
79.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
78.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
78.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
78.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
77.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
77.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
77.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
76.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
76.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
76.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
75.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
75.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
74.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
74.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
72.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
72.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
71.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
69.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
69.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
68.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
68.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
67.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
66.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
66.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
65.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
64.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
64.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
63.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
63.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
62.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
61.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
61.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
60.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
59.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
59.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
58.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
57.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
57.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
57.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
55.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
54.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
54.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
54.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
53.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
53.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
52.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
52.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
51.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
51.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
50.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
49.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
47.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
46.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
46.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
45.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
42.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
41.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
40.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
40.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
39.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
39.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
38.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
38.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
38.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
38.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
38.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
37.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
36.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
36.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
35.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
34.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
34.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
33.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
33.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
33.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
33.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
33.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
32.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
32.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
32.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
31.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
30.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
30.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
29.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
29.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
29.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
29.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
29.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
28.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
28.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
28.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
28.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
28.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
28.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
27.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
27.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
27.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
27.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
27.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
27.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
27.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
26.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
26.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
26.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
26.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
26.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
26.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
25.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
25.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
25.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
25.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
25.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
24.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
24.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
24.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
23.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
23.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
23.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
22.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
22.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
22.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
22.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
22.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
22.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
21.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
21.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
21.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
21.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
21.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
21.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
21.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
21.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
20.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
20.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
20.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
20.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
20.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
20.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
20.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
20.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
20.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
20.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
20.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
20.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
19.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
19.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
19.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
19.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
19.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
19.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
19.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
19.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
18.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
18.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
18.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
18.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
18.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
18.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
18.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
18.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
18.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
17.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
17.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
16.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
16.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
16.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
16.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
16.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
16.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
15.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
15.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
15.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
14.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
14.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
14.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
13.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
13.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
13.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
12.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
12.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
12.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
12.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
12.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
11.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
11.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
11.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
10.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
9.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
8.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
8.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
7.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
5.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ICAM1 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
21.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
79.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
58.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
51.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
46.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
44.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
37.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
32.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
30.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
29.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
25.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
23.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
23.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
23.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
23.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
22.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
20.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
20.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
20.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
17.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
16.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
15.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
14.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
14.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
12.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
10.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
9.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
8.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
7.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
6.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
6.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
6.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ICAM1 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
39.7
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
213.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
148.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
118.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
106.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
104.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
95.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
93.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
93.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
91.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
89.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
86.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
80.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
78.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
77.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
74.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
73.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
73.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
72.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
68.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
66.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
64.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
63.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
62.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
62.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
62.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
61.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
58.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
58.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
54.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
47.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
46.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
45.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
43.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
41.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
35.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
33.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
33.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
29.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
29.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
29.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
28.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
28.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
28.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
28.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
28.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
28.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
27.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
27.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
26.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
26.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
25.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
25.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
25.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
24.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
22.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
21.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
21.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
20.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
20.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
19.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
19.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
19.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
18.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
18.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
18.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
17.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
17.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
17.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
16.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
16.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
16.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
14.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
14.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
14.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
13.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
13.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
13.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
13.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
12.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
12.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
10.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
9.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
9.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
8.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
7.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
