We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
PPP2R5A 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
28.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
105.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
65.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
57.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
45.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
44.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
44.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
41.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
41.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
40.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
40.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
40.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
40.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
39.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
38.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
37.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
37.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
36.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
36.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
36.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
35.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
35.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
35.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
35.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
34.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
34.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
33.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
33.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
33.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
33.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
32.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
32.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
31.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
31.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
31.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
31.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
31.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
31.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
30.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
30.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
30.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
30.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
30.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
29.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
29.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
29.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
28.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
28.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
28.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
27.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
27.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
27.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
26.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
26.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
26.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
26.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
26.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
26.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
26.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
26.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
25.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
25.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
25.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
25.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
25.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
25.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
24.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
24.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
24.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
24.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
24.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
23.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
23.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
23.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
23.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
22.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
22.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
22.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
22.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
22.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
22.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
22.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
21.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
21.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
21.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
21.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
20.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
20.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
20.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
20.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
20.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
20.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
20.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
19.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
18.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
18.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
18.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
17.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
17.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
17.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
16.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
16.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
PPP2R5A 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
33.0
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
71.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
65.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
65.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
63.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
52.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
51.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
50.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
50.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
50.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
49.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
48.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
47.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
45.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
43.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
41.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
41.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
40.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
40.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
40.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
39.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
39.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
38.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
38.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
38.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
38.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
38.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
37.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
37.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
37.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
37.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
37.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
36.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
36.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
36.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
36.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
35.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
35.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
35.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
35.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
35.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
34.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
34.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
34.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
34.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
34.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
34.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
34.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
34.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
34.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
33.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
33.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
33.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
33.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
33.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
33.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
33.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
32.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
32.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
32.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
32.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
32.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
31.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
31.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
31.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
31.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
31.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
31.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
31.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
31.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
31.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
31.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
31.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
30.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
30.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
30.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
30.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
30.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
30.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
30.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
30.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
30.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
30.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
30.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
30.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
29.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
29.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
29.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
29.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
29.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
29.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
29.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
29.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
29.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
29.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
29.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
29.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
28.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
28.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
28.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
28.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
28.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
28.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
28.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
28.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
28.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
28.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
28.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
28.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
28.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
28.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
27.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
27.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
27.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
27.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
27.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
27.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
27.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
27.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
27.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
27.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
27.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
26.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
26.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
26.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
26.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
26.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
26.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
26.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
26.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
26.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
26.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
26.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
26.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
26.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
26.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
26.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
26.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
26.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
25.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
25.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
25.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
25.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
25.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
25.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
25.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
25.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
24.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
24.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
24.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
24.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
23.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
23.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
23.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
23.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
23.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
23.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
23.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
23.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
23.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
23.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
23.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
22.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
22.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
22.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
22.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
22.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
22.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
22.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
22.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
22.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
21.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
21.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
21.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
21.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
21.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
20.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
20.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
19.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
19.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
19.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
18.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
18.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
18.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
17.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
15.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
12.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
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.
PPP2R5A 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
28.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
76.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
50.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
50.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
48.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
43.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
41.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
41.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
38.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
37.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
32.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
32.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
31.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
31.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
30.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
29.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
29.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
29.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
28.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
28.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
28.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
27.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
27.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
27.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
26.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
25.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
25.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
24.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
24.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
23.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
23.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
22.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
22.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
22.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
21.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
20.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
20.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
18.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
18.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPP2R5A 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
28.6
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
40.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
40.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
39.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
38.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
36.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
34.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
33.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
33.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
32.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
32.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
32.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
32.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
32.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
32.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
31.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
30.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
30.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
30.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
30.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
30.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
29.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
29.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
29.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
29.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
29.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
29.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
28.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
28.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
28.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
27.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
27.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
27.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
27.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
27.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
26.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
26.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
26.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
26.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
26.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
26.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
26.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
26.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
25.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
25.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
25.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
25.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
25.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
24.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
24.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
24.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
24.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
24.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
24.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
24.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
24.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
23.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
23.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
23.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
23.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
23.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
22.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
22.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
22.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
22.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
22.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
22.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
22.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
22.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
21.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
21.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
21.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
21.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
21.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
21.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
20.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
20.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
20.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
20.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
20.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
19.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
19.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
19.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
18.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
18.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
18.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
17.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
17.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
15.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
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
