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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.
KIFC3 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
11.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
45.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
38.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
34.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
29.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
27.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
27.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
27.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
25.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
24.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
24.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
23.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
22.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
20.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
18.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
18.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
17.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
15.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
14.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
14.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
13.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
13.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
13.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
13.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
12.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
12.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
12.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
10.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
10.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
10.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
10.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
10.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
9.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
9.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
9.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
9.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
8.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
8.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
8.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
8.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
8.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
8.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
7.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
7.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
7.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
7.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
7.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
7.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
7.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
7.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
6.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
6.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
6.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
6.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
6.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
6.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
6.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
6.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
6.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
6.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
5.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
5.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
5.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
5.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
5.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
5.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
5.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
5.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
5.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
5.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
4.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
3.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 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.
KIFC3 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
56.7
Number of samples
486
Samples
Sample
Description
TPM
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
144.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
135.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
127.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
126.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
123.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
113.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
111.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
110.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
109.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
109.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
108.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
106.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
105.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
105.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
105.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
104.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
103.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
102.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
101.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
101.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
99.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
97.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
96.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
96.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
95.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
94.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
94.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
93.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
93.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
93.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
92.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
91.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
90.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
90.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
89.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
88.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
88.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
88.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
88.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
88.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
87.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
87.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
87.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
86.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
86.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
86.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
86.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
86.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
85.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
85.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
85.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
85.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
84.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
83.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
83.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
83.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
83.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
83.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
83.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
82.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
81.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
80.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
80.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
80.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
79.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
78.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
78.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
78.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
78.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
78.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
77.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
77.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
76.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
76.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
76.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
76.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
76.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
75.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
75.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
75.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
74.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
74.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
73.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
73.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
72.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
72.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
72.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
71.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
71.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
71.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
71.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
70.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
70.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
69.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
69.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
69.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
69.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
68.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
68.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
68.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
68.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
68.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
67.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
67.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
67.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
67.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
67.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
66.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
66.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
66.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
66.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
65.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
65.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
65.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
65.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
65.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
65.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
64.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
64.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
64.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
64.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
64.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
63.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
63.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
63.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
63.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
63.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
63.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
62.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
62.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
62.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
61.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
61.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
61.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
61.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
61.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
60.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
60.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
60.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
60.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
60.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
60.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
59.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
59.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
58.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
58.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
57.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
57.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
57.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
57.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
56.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
56.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
56.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
55.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
55.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
55.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
54.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
54.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
53.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
53.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
52.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
52.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
52.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
51.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
51.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
51.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
51.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
50.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
50.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
49.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
49.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
49.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
49.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
47.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
46.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
46.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
45.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
45.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
45.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
45.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
44.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
44.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
44.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
43.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
43.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
42.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
42.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
40.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
40.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
39.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
38.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
38.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
35.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
35.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
34.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
33.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
32.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
32.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
32.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
31.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
31.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
31.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
31.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
31.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
31.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
31.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
30.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
30.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
30.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
30.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
29.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
29.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
27.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
27.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
27.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
27.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
27.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
27.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
26.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
25.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
25.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
24.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
24.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
23.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
23.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
23.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
20.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
20.0
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.
KIFC3 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
10.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
30.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
24.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
23.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
22.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
21.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
21.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
18.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
17.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
16.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
13.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
13.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
13.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
13.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
12.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
12.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
11.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
10.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
10.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
10.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
10.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
10.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
8.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
7.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
7.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
6.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
5.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
4.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
KIFC3 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
67.5
Number of samples
207
Samples
Sample
Description
TPM
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1220.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
152.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
127.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
126.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
116.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
115.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
115.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
113.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
104.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
101.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
100.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
100.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
96.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
94.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
93.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
92.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
92.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
91.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
90.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
90.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
89.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
88.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
88.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
88.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
88.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
87.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
87.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
86.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
86.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
86.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
84.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
84.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
83.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
83.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
82.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
81.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
81.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
80.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
80.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
80.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
79.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
79.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
79.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
78.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
78.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
77.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
77.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
76.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
76.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
76.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
75.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
75.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
74.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
74.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
74.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
74.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
74.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
73.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
73.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
73.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
72.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
72.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
71.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
70.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
69.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
69.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
69.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
69.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
68.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
67.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
67.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
66.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
66.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
66.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
65.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
65.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
65.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
64.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
64.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
64.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
64.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
63.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
63.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
62.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
61.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
60.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
60.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
58.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
57.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
56.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
55.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
55.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
54.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
54.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
54.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
53.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
53.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
53.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
53.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
52.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
52.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
51.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
51.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
50.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
50.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
49.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
48.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
47.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
46.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
45.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
44.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
43.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
42.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
40.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
35.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
34.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
31.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
27.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
27.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
26.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
26.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
26.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
26.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
26.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
26.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
25.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
