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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.
GBP1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
20.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
140.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
120.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
119.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
103.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
91.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
87.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
78.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
78.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
68.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
61.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
60.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
59.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
57.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
55.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
55.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
55.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
51.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
50.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
49.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
44.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
41.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
40.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
39.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
39.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
39.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
38.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
36.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
33.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
33.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
31.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
31.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
31.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
29.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
28.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
26.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
26.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
26.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
24.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
24.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
23.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
23.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
23.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
21.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
21.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
20.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
20.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
19.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
19.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
18.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
18.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
17.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
17.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
17.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
17.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
16.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
16.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
16.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
16.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
16.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
15.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
14.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
14.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
13.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
13.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
13.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
11.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
11.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
11.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
10.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
10.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
9.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
8.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
8.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
8.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
7.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
7.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
7.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
6.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
6.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
6.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
5.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
5.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
4.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
4.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
3.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
GBP1 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
35.2
Number of samples
486
Samples
Sample
Description
TPM
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
264.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
229.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
224.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
215.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
200.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
198.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
197.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
186.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
176.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
175.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
173.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
163.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
143.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
139.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
133.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
133.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
132.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
125.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
124.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
115.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
113.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
107.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
103.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
103.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
100.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
98.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
96.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
95.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
95.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
93.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
92.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
91.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
91.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
91.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
91.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
91.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
90.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
89.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
85.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
81.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
80.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
76.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
72.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
68.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
66.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
64.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
62.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
62.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
61.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
56.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
53.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
53.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
51.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
51.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
48.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
47.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
45.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
44.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
44.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
44.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
43.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
43.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
42.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
42.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
41.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
39.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
39.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
36.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
36.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
35.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
35.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
35.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
34.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
33.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
33.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
33.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
31.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
30.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
30.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
30.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
30.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
29.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
29.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
29.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
29.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
28.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
28.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
28.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
28.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
28.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
28.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
27.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
27.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
27.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
27.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
27.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
27.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
27.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
26.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
26.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
26.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
26.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
26.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
26.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
26.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
26.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
26.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
26.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
25.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
25.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
25.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
25.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
25.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
25.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
25.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
25.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
25.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
25.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
24.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
24.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
24.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
24.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
24.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
24.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
24.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
24.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
24.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
24.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
24.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
24.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
24.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
24.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
23.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
23.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
23.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
23.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
23.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
23.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
23.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
23.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
23.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
22.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
22.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
22.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
22.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
22.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
22.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
22.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
22.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
22.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
22.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
22.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
22.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
21.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
21.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
21.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
21.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
21.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
21.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
21.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
21.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
21.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
21.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
21.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
21.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
21.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
21.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
21.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
20.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
20.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
20.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
20.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
20.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
20.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
20.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
20.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
20.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
20.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
19.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
19.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
19.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
19.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
19.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
19.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
19.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
19.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
19.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
19.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
19.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
18.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
18.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
18.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
18.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
18.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
18.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
18.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
18.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
18.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
18.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
18.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
18.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
18.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
18.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
18.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
18.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
17.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
17.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
17.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
17.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
17.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
17.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
17.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
17.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
17.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
17.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
17.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
17.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
16.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
16.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
16.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
16.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
16.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
16.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
16.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
16.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
16.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
15.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
15.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
15.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
15.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
15.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
15.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
15.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
15.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
15.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
15.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
15.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
15.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
15.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
15.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
15.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
15.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
15.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
14.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
14.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
14.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
14.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
14.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
14.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
14.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
14.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
14.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
14.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
13.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
13.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
13.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
13.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
13.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
13.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
13.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
13.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
13.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
13.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
13.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
13.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
13.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
13.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
13.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
13.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
13.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
13.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
13.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
13.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
12.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
12.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
12.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
12.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
12.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
12.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
12.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
12.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
12.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
12.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
12.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
12.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
12.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
12.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
11.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
11.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
11.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
11.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
11.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
11.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
11.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
11.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
11.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
11.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
11.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
11.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
11.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
11.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
11.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
11.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
11.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
11.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
11.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
11.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
11.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
10.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
10.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
10.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
10.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
10.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
10.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
10.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
10.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
10.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
9.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
9.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
9.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
9.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
9.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
9.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
9.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
8.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
8.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
8.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
8.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
8.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
8.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
8.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
8.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
8.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
7.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
7.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
7.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
7.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
7.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
7.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
7.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
7.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
6.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
6.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
6.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
6.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
6.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
5.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
5.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
5.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
3.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GBP1 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
16.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
69.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
67.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
48.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
36.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
32.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
31.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
27.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
26.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
25.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
24.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
20.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
20.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
20.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
20.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
20.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
17.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
16.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
15.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
15.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
14.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
11.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
11.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
10.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
10.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
9.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
9.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
8.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
7.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
6.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
6.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
5.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
4.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GBP1 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
24.0
Number of samples
207
Samples
Sample
Description
TPM
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
123.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
92.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
67.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
61.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
58.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
56.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
56.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
53.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
41.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
40.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
35.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
35.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
33.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
32.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
31.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
31.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
30.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
29.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
28.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
28.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
27.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
27.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
27.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
26.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
25.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
25.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
23.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
23.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
23.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
23.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
23.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
23.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
22.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
22.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
21.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
20.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
20.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
20.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
20.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
20.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
20.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
19.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
19.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
18.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
18.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
18.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
18.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
18.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
17.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
17.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
17.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
17.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
17.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
17.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
17.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
16.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
16.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
16.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
16.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
16.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
15.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
15.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
15.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
15.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
15.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
14.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
14.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
14.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
14.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
14.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
14.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
13.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
13.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
13.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
13.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
13.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
13.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
13.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
13.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
13.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
12.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
12.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
12.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
12.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
12.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
12.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
12.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
12.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
12.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
12.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
11.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
11.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
11.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
11.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
11.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
11.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
11.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
11.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
10.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
10.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
10.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
10.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
10.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
10.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
10.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
10.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
10.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
10.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
10.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
9.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
9.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
9.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
9.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
9.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
9.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
9.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
9.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
9.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
8.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
8.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
8.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
8.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
8.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
8.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
8.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
7.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
7.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
7.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
7.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
7.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
6.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
6.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
5.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
5.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
5.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
5.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
3.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.8
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
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Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
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Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
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Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.2
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
