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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.
PRUNE2 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
8.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
60.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
34.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
21.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
20.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
19.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
19.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
19.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
18.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
18.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
17.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
16.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
16.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
15.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
15.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
15.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
14.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
14.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
14.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
14.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
13.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
12.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
11.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
11.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
11.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
10.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
10.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
10.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
9.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
9.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
9.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
8.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
8.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
8.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
8.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
8.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
8.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
8.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
8.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
8.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
7.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
7.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
7.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
7.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
6.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
6.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
6.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
6.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
6.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
6.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
5.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
5.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
5.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
5.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
5.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
5.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
5.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
4.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
4.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
4.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
4.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
4.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
4.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
4.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
4.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
4.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
4.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
4.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
4.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
3.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
3.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
3.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
3.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
3.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
3.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
3.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
2.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
0.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
0.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
0.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 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.
PRUNE2 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
21.5
Number of samples
486
Samples
Sample
Description
TPM
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
105.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
100.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
94.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
93.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
80.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
79.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
79.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
75.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
69.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
68.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
64.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
62.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
62.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
61.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
61.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
58.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
57.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
53.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
52.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
52.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
51.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
50.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
47.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
43.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
43.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
40.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
40.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
38.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
37.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
36.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
35.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
34.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
34.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
34.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
32.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
32.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
32.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
32.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
29.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
29.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
29.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
29.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
29.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
28.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
28.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
28.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
28.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
28.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
27.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
27.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
27.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
27.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
26.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
26.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
26.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
25.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
25.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
25.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
25.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
25.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
25.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
25.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
25.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
25.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
24.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
24.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
24.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
24.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
24.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
24.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
24.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
24.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
24.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
23.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
23.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
23.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
23.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
23.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
22.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
22.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
22.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
22.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
22.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
22.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
22.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
22.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
21.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
21.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
21.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
21.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
21.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
21.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
21.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
20.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
20.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
20.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
20.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
20.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
20.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
20.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
20.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
20.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
20.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
20.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
20.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
19.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
19.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
19.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
19.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
19.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
19.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
19.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
19.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
19.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
19.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
19.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
18.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
18.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
18.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
18.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
18.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
18.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
18.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
18.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
18.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
17.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
17.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
17.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
17.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
17.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
17.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
17.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
17.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
17.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
17.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
17.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
17.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
16.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
16.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
16.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
16.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
16.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
16.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
16.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
16.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
16.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
16.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
16.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
16.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
16.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
16.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
16.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
16.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
16.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
16.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
16.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
16.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
15.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
15.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
15.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
15.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
15.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
15.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
15.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
15.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
15.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
15.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
15.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
15.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
15.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
15.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
15.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
14.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
14.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
14.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
14.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
14.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
14.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
14.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
14.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
14.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
14.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
14.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
14.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
14.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
14.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
14.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
14.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
14.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
14.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
14.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
14.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
13.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
13.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
13.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
13.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
13.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
13.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
13.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
13.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
13.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
13.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
13.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
13.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
13.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
13.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
13.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
13.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
13.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
12.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
12.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
12.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
12.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
12.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
12.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
12.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
12.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
12.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
12.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
12.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
12.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
11.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
11.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
11.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
11.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
11.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
11.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
11.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
11.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
11.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
11.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
11.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
11.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
11.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
11.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
11.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
11.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
11.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
11.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
11.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
10.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
10.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
10.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
10.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
10.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
10.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
10.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
10.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
10.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
10.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
10.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
10.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
10.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
10.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
9.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
9.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
9.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
9.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
9.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
9.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
9.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
9.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
9.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
9.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
9.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
9.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
9.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
9.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
9.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
9.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
9.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
9.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
9.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
8.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
8.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
8.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
8.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
8.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
8.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
8.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
8.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
8.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
8.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
8.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
8.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
8.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
8.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
8.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
8.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
8.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
7.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
7.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
7.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
7.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
7.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
7.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
7.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
7.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
7.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
7.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
7.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
7.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
6.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
6.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
6.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
6.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
6.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
6.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
6.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
6.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
6.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
6.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
5.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
5.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
5.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
5.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
5.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
5.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
5.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
5.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
5.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
5.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
5.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
5.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
5.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
5.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
5.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
5.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
5.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
5.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
4.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
4.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
4.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
4.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
4.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
4.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
4.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
4.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
4.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
4.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
4.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
4.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
4.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
4.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
4.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
4.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
4.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
4.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
4.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
4.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
4.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
4.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
3.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
3.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
3.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
3.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
3.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
3.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
3.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
3.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
3.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
3.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
3.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
2.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
2.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
2.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
2.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
2.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
2.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
2.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
2.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
2.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
2.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
2.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
2.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
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.
PRUNE2 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
9.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
56.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
31.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
23.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
23.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
18.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
18.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
16.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
15.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
13.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
13.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
8.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
7.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
7.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
7.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
6.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
6.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
6.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
6.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
5.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
5.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
5.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
4.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
4.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
4.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
3.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
0.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 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.
PRUNE2 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
20.2
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
211.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
87.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
74.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
70.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
43.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
36.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
34.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
32.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
32.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
31.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
30.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
30.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
30.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
28.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
25.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
25.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
25.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
24.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
23.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
23.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
22.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
22.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
21.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
21.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
21.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
21.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
21.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
21.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
21.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
21.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
20.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
20.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
20.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
19.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
19.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
19.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
18.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
18.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
18.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
17.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
17.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
17.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
17.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
17.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
17.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
16.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
16.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
16.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
16.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
16.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
15.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
15.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
15.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
15.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
15.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
15.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
15.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
15.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
15.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
14.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
14.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
14.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
14.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
14.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
14.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
14.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
13.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
13.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
13.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
13.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
13.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
13.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
13.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
13.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
12.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
12.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
12.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
12.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
12.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
12.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
11.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
11.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
11.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
11.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
11.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
11.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
10.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
10.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
10.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
10.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
10.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
10.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
10.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
9.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
9.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
9.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
9.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
8.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
8.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
8.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
8.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
8.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
8.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
8.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
8.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
8.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
7.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
7.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
7.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
6.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
6.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
6.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
6.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
6.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
6.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
6.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
6.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
6.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
6.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
6.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
6.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
6.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
6.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
5.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
5.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
5.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
5.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
5.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
5.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
5.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
5.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
4.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
4.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
4.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
4.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
4.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
3.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
3.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
3.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
3.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
3.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
3.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
3.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
3.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
3.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
3.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
2.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
2.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
2.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
2.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
2.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
1.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.9
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.9
41a04113-2061-4923-bca5-da586c_D2
Normal
0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.8
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.8
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.8
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.8
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.9
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.8
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
