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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.
S100A8 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
39.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2848.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
925.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
495.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
259.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
126.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
124.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
106.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
99.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
97.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
96.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
90.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
89.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
87.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
87.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
79.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
76.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
72.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
69.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
65.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
59.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
53.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
52.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
50.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
50.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
48.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
46.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
46.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
46.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
45.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
44.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
42.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
39.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
39.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
37.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
36.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
36.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
34.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
34.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
32.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
31.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
31.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
29.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
28.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
26.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
26.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
24.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
24.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
24.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
24.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
23.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
23.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
23.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
18.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
18.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
18.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
18.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
18.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
18.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
17.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
17.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
15.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
15.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
14.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
13.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
13.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
11.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
11.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
10.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
9.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
9.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
9.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
8.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
8.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
7.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
7.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
7.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
6.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
6.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
6.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
6.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
6.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
6.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
5.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
4.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
4.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
3.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 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.
S100A8 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
43.3
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
393.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
361.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
339.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
304.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
295.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
281.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
269.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
261.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
225.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
214.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
208.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
202.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
195.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
193.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
190.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
189.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
182.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
180.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
177.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
171.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
170.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
169.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
167.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
165.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
160.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
160.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
156.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
156.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
152.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
151.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
147.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
145.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
139.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
137.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
135.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
122.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
116.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
114.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
114.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
113.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
110.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
109.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
109.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
108.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
104.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
104.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
103.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
102.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
99.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
98.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
97.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
96.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
93.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
91.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
89.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
89.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
89.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
88.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
87.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
86.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
85.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
85.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
84.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
83.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
80.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
80.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
80.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
78.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
78.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
77.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
76.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
76.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
75.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
75.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
74.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
74.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
74.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
74.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
74.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
73.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
71.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
71.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
70.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
69.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
67.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
67.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
66.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
66.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
65.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
64.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
63.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
62.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
62.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
61.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
61.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
55.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
54.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
54.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
52.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
52.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
46.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
43.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
42.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
39.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
38.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
37.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
36.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
35.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
35.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
35.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
35.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
33.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
33.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
33.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
32.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
32.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
30.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
30.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
29.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
28.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
28.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
28.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
28.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
27.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
27.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
27.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
27.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
26.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
26.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
26.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
26.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
26.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
26.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
26.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
25.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
25.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
25.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
25.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
25.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
25.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
24.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
24.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
24.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
23.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
23.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
23.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
22.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
22.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
22.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
22.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
22.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
21.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
21.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
21.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
21.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
21.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
21.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
20.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
20.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
20.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
20.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
20.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
20.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
20.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
20.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
20.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
20.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
20.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
20.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
20.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
19.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
19.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
19.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
19.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
19.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
19.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
19.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
19.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
19.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
19.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
19.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
19.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
18.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
18.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
18.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
18.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
18.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
18.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
18.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
18.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
18.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
18.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
18.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
18.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
17.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
17.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
17.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
17.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
17.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
17.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
17.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
17.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
17.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
17.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
17.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
17.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
16.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
16.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
16.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
16.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
16.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
16.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
16.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
16.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
16.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
16.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
16.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
16.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
16.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
16.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
15.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
15.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
15.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
15.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
15.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
15.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
15.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
15.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
15.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
14.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
14.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
14.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
14.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
14.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
14.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
14.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
13.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
13.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
13.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
13.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
13.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
13.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
13.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
13.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
13.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
13.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
12.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
12.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
12.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
12.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
12.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
12.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
12.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
12.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
12.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
12.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
12.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
11.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
11.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
11.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
11.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
11.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
11.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
11.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
11.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
10.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
10.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
10.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
10.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
10.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
10.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
10.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
10.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
10.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
10.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
10.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
10.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
10.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
10.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
9.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
9.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
9.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
9.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
9.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
9.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
9.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
9.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
9.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
9.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
9.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
9.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
9.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
9.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
9.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
9.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
9.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
9.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
8.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
8.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
8.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
8.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
8.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
8.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
8.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
8.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
8.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
8.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
8.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
8.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
8.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
8.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
8.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
8.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
8.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
8.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
7.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
7.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
7.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
7.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
7.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
7.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
7.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
7.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
7.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
6.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
6.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
6.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
6.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
6.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
6.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
6.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
6.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
6.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
6.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
6.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
6.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
5.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
5.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
5.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
5.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
5.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
5.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
5.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
5.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
5.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
5.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
5.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
5.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
4.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
4.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
4.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
4.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
4.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
4.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
3.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
3.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
3.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
3.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
3.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
3.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
3.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
3.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
2.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
2.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
2.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
2.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
2.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
2.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
1.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 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.
S100A8 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
21.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
156.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
118.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
115.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
71.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
63.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
58.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
50.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
40.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
40.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
39.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
39.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
38.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
26.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
26.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
23.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
23.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
21.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
21.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
19.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
15.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
8.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
8.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
8.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
8.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
7.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
6.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
6.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
5.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
4.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
3.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
3.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 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.
S100A8 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
29.6
Number of samples
207
Samples
Sample
Description
TPM
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
235.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
218.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
194.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
192.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
186.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
146.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
141.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
123.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
107.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
104.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
102.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
98.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
92.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
90.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
88.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
83.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
82.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
81.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
77.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
73.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
71.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
69.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
66.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
66.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
61.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
59.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
59.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
59.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
27.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
26.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
24.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
24.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
24.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
24.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
23.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
23.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
23.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
22.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
21.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
21.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
21.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
21.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
21.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
20.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
20.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
20.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
20.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
20.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
19.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
19.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
19.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
19.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
18.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
18.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
18.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
18.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
17.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
17.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
16.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
16.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
16.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
16.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
16.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
16.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
16.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
16.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
16.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
15.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
15.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
15.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
14.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
14.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
14.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
14.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
14.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
14.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
14.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
14.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
14.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
13.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
13.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
13.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
13.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
13.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
12.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
12.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
12.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
12.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
12.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
12.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
12.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
12.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
12.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
12.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
12.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
12.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
11.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
11.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
11.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
11.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
11.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
11.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
10.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
10.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
10.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
10.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
9.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
9.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
9.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
9.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
9.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
9.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
9.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
9.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
9.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
9.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
9.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
9.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
9.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
9.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
9.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
8.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
8.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
8.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
8.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
8.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
8.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
8.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
7.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
7.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
7.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
7.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
7.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
7.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
7.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
6.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
5.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
5.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
5.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
5.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
5.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
5.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
5.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
4.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
4.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
4.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
4.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
4.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
4.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
4.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
4.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
4.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
3.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
3.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
2.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
0.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
3.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
2.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
2.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
2.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
2.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
1.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
1.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.9
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.8
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.8
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
b2400046-1d25-429d-a821-6040a6
Tumor
-1.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-1.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-1.0
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-1.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-1.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.8
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.9
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-2.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-2.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-2.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-2.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-2.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-2.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-2.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-2.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-2.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-2.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-2.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-2.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-2.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-2.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-2.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-2.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-2.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-2.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-2.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-2.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-2.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-2.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-2.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-2.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-2.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-2.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-2.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-2.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-2.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-2.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-3.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-3.0
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
