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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPP3R1 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
27.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
53.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
48.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
45.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
44.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
44.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
42.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
42.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
40.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
39.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
38.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
38.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
37.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
36.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
36.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
35.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
35.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
34.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
34.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
33.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
33.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
33.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
32.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
32.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
32.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
32.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
32.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
32.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
32.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
31.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
31.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
31.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
31.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
31.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
30.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
30.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
30.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
29.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
29.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
29.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
29.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
29.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
29.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
28.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
28.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
28.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
28.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
28.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
28.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
27.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
27.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
27.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
27.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
27.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
27.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
27.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
26.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
26.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
26.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
26.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
26.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
26.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
25.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
25.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
25.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
25.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
24.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
24.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
24.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
24.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
24.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
23.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
23.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
23.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
23.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
22.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
22.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
22.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
21.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
21.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
21.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
20.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
19.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
19.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
19.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
18.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
18.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
15.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
PPP3R1 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
62.4
Number of samples
486
Samples
Sample
Description
TPM
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
102.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
100.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
99.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
99.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
97.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
95.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
95.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
93.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
92.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
90.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
90.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
89.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
88.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
88.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
87.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
86.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
85.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
84.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
84.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
83.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
83.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
83.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
83.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
83.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
82.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
82.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
81.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
81.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
81.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
80.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
80.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
80.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
79.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
79.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
79.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
79.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
79.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
79.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
79.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
79.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
79.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
78.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
78.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
78.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
78.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
78.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
77.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
77.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
77.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
77.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
76.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
76.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
76.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
76.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
76.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
76.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
76.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
76.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
76.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
75.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
75.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
75.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
75.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
75.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
74.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
74.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
74.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
74.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
74.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
74.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
74.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
73.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
73.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
73.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
73.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
73.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
72.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
72.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
72.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
72.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
72.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
72.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
72.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
72.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
72.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
72.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
72.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
72.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
72.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
72.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
71.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
71.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
71.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
71.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
71.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
71.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
71.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
71.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
71.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
71.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
70.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
70.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
70.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
70.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
70.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
70.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
70.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
70.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
70.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
69.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
69.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
69.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
69.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
69.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
68.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
68.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
68.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
68.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
68.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
68.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
68.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
68.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
67.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
67.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
67.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
67.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
67.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
67.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
67.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
67.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
66.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
66.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
66.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
66.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
66.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
66.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
66.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
65.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
65.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
65.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
65.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
65.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
65.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
65.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
65.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
65.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
64.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
64.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
64.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
63.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
63.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
63.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
63.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
63.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
63.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
63.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
63.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
62.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
62.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
62.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
62.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
62.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
62.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
62.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
61.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
61.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
61.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
61.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
61.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
61.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
61.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
60.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
60.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
60.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
60.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
60.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
60.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
60.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
60.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
59.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
59.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
59.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
59.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
59.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
59.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
59.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
59.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
58.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
58.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
58.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
58.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
58.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
58.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
58.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
57.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
57.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
57.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
56.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
56.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
56.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
56.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
55.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
55.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
55.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
55.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
55.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
55.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
54.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
54.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
54.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
54.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
54.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
54.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
53.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
53.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
52.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
52.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
52.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
52.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
51.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
51.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
51.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
51.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
50.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
50.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
49.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
47.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
47.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
45.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
44.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
43.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
40.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
38.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
38.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
PPP3R1 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
29.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
52.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
45.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
44.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
40.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
40.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
39.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
38.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
37.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
36.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
35.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
34.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
33.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
33.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
32.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
32.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
32.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
31.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
30.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
30.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
29.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
29.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
29.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
29.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
29.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
29.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
28.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
28.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
27.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
25.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
25.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
24.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
24.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
24.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
24.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
23.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
23.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
23.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
22.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
22.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
19.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
18.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPP3R1 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
57.5
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
98.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
95.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
86.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
83.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
81.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
81.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
80.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
79.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
79.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
78.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
77.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
77.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
77.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
76.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
75.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
74.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
74.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
74.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
72.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
72.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
71.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
71.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
70.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
70.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
69.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
68.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
68.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
68.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
68.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
67.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
67.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
67.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
67.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
66.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
66.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
66.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
65.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
64.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
64.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
64.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
63.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
63.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
63.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
63.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
63.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
63.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
62.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
62.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
62.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
61.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
61.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
60.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
60.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
59.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
58.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
58.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
58.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
58.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
58.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
57.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
57.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
56.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
56.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
56.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
56.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
56.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
56.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
55.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
55.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
55.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
55.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
55.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
54.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
54.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
54.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
53.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
53.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
53.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
51.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
50.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
49.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
48.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
48.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
48.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
47.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
47.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
47.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
46.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
46.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
45.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
44.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
27.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-1.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
