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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.
PFKFB3 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
21.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
74.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
70.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
70.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
68.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
67.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
65.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
55.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
45.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
44.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
43.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
40.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
39.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
38.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
37.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
33.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
32.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
30.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
30.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
28.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
27.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
27.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
27.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
26.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
26.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
26.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
25.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
25.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
25.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
25.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
23.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
23.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
23.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
23.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
23.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
22.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
22.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
22.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
22.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
21.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
21.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
21.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
21.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
20.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
20.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
20.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
20.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
20.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
20.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
20.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
20.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
20.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
20.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
19.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
19.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
19.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
19.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
19.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
19.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
19.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
18.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
18.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
18.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
18.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
18.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
18.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
17.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
17.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
17.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
17.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
16.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
16.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
16.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
15.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
15.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
15.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
15.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
15.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
14.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
14.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
14.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
14.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
13.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
13.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
10.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
9.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
9.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
PFKFB3 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
46.8
Number of samples
486
Samples
Sample
Description
TPM
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
374.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
208.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
171.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
162.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
161.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
142.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
135.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
127.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
126.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
118.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
118.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
117.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
117.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
112.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
111.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
109.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
108.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
108.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
107.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
104.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
102.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
100.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
98.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
98.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
97.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
97.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
97.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
96.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
95.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
93.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
92.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
92.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
90.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
86.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
85.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
85.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
83.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
83.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
82.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
82.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
81.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
80.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
80.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
79.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
79.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
78.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
78.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
76.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
76.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
75.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
74.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
73.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
73.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
73.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
72.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
72.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
71.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
71.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
71.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
70.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
70.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
70.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
69.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
69.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
67.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
66.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
66.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
66.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
66.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
66.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
65.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
64.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
63.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
63.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
63.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
63.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
63.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
62.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
61.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
60.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
59.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
59.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
59.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
58.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
58.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
57.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
56.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
56.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
56.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
55.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
55.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
55.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
54.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
53.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
53.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
53.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
53.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
52.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
51.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
51.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
49.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
49.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
47.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
47.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
47.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
47.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
46.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
46.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
46.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
46.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
46.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
46.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
45.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
45.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
44.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
44.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
43.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
43.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
43.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
42.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
42.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
42.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
42.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
41.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
41.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
40.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
39.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
38.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
37.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
35.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
35.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
34.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
34.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
33.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
33.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
33.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
33.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
32.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
32.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
32.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
31.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
31.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
30.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
30.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
30.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
30.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
29.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
29.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
28.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
28.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
28.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
28.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
28.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
28.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
28.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
28.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
28.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
28.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
28.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
27.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
27.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
27.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
27.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
27.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
27.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
26.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
26.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
26.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
26.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
26.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
25.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
25.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
25.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
25.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
24.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
24.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
24.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
24.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
24.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
24.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
24.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
23.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
23.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
23.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
23.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
23.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
23.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
23.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
23.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
23.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
22.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
22.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
22.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
22.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
22.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
22.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
22.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
21.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
21.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
21.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
21.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
21.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
21.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
21.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
21.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
20.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
20.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
20.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
20.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
20.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
20.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
20.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
20.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
19.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
19.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
19.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
19.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
19.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
19.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
19.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
19.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
19.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
18.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
18.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
18.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
18.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
18.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
18.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
18.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
17.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
17.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
17.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
17.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
16.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
16.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
16.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
15.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
15.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
15.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
14.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
14.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
14.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
14.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
13.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
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.
PFKFB3 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
18.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
47.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
35.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
29.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
28.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
26.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
26.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
25.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
25.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
24.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
21.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
20.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
20.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
19.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
19.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
17.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
16.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
15.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
14.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
14.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
14.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
14.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
13.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
13.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
13.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
11.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
10.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
6.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.5
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.
PFKFB3 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
41.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
134.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
122.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
121.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
108.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
106.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
92.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
91.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
86.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
83.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
80.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
80.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
77.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
73.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
73.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
72.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
71.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
70.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
69.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
68.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
67.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
66.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
64.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
63.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
62.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
53.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
49.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
47.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
45.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
45.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
44.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
42.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
42.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
39.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
38.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
38.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
35.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
35.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
31.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
30.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
29.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
28.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
28.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
28.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
27.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
27.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
27.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
27.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
26.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
26.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
26.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
25.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
25.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
24.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
24.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
24.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
23.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
23.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
21.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
21.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
21.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
21.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
21.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
21.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
21.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
21.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
21.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
20.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
20.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
19.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
18.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
18.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
18.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
17.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
15.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.5
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.