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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.
QKI 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
5.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
56.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
53.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
26.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
23.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
18.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
16.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
15.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
14.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
14.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
13.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
13.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
12.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
12.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
12.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
11.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
11.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
10.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
10.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
10.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
10.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
10.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
9.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
9.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
9.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
8.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
8.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
8.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
8.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
8.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
7.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
7.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
7.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
7.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
6.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
6.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
6.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
6.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
6.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
6.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
6.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
6.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
6.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
6.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
6.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
6.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
6.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
6.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
6.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
6.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
6.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
5.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
5.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
5.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
5.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
5.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
5.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
5.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
5.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
5.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
5.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
5.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
5.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
5.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
5.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
5.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
5.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
5.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
4.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
4.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
4.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
4.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
4.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
4.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
4.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
4.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
3.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
3.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
3.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
3.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
3.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
3.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
3.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
3.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
3.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
2.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
0.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
0.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
0.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 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.
QKI 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
41.8
Number of samples
486
Samples
Sample
Description
TPM
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
118.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
114.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
104.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
100.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
93.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
90.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
86.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
86.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
85.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
82.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
82.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
81.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
80.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
80.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
79.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
79.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
78.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
77.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
76.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
76.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
75.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
74.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
72.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
72.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
71.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
71.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
71.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
70.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
69.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
69.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
68.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
68.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
68.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
68.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
67.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
67.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
67.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
66.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
65.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
65.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
64.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
63.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
62.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
62.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
61.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
60.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
60.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
60.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
59.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
59.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
59.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
58.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
58.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
58.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
58.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
58.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
58.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
57.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
57.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
57.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
56.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
56.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
56.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
55.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
55.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
55.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
54.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
54.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
53.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
52.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
52.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
51.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
51.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
50.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
50.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
49.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
49.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
46.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
46.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
45.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
44.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
42.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
41.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
40.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
40.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
40.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
39.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
39.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
37.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
37.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
36.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
36.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
35.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
35.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
35.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
35.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
34.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
34.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
34.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
34.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
34.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
32.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
32.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
32.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
32.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
31.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
31.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
31.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
30.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
30.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
30.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
30.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
30.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
30.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
30.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
30.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
29.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
29.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
29.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
28.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
28.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
28.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
28.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
28.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
27.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
27.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
27.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
27.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
27.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
27.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
26.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
26.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
26.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
25.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
25.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
24.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
24.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
24.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
23.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
23.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
23.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
23.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
23.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
23.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
23.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
23.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
22.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
22.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
22.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
22.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
22.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
22.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
21.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
21.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
21.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
21.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
21.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
21.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
21.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
21.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
21.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
21.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
20.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
20.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
20.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
19.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
19.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
19.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
19.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
19.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
19.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
19.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
19.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
19.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
19.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
18.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
18.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
18.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
18.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
17.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
17.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
17.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
17.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
17.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
17.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
17.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
17.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
17.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
17.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
16.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
16.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
16.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
16.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
15.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
15.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
14.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
14.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
14.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
14.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
14.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
13.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
13.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
13.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
11.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
10.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
10.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
6.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
QKI 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
5.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
13.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
12.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
10.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
10.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
9.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
8.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
8.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
8.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
7.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
7.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
7.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
7.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
6.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
6.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
6.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
6.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
6.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
6.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
5.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
5.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
5.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
4.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
4.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
4.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
4.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
4.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
3.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
3.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
3.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
3.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
3.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
3.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
2.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
2.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
2.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
0.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
QKI is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
41.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
112.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
111.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
102.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
95.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
94.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
85.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
80.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
79.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
77.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
76.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
76.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
74.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
72.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
71.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
67.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
66.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
65.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
64.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
64.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
63.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
63.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
63.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
62.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
62.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
60.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
59.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
57.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
57.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
54.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
52.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
49.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
45.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
45.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
41.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
40.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
39.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
37.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
33.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
32.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
32.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
31.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
30.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
29.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
28.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
27.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
27.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
26.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
25.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
24.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
23.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
22.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
22.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
22.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
22.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
21.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
21.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
20.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
19.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
19.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
19.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
17.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
17.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
15.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
15.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
15.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
14.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
14.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
14.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
14.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
13.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
12.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
10.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
10.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
10.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
5.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
