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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.
PPP6R1 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
41.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
107.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
101.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
87.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
82.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
74.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
72.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
71.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
71.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
70.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
70.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
70.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
68.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
68.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
67.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
66.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
66.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
65.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
65.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
64.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
62.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
62.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
61.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
61.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
61.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
61.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
60.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
59.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
59.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
58.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
58.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
58.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
57.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
57.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
56.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
54.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
53.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
52.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
52.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
51.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
51.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
51.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
50.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
49.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
47.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
47.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
47.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
47.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
47.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
46.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
46.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
46.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
46.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
45.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
45.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
45.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
45.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
45.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
44.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
44.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
44.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
43.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
43.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
42.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
42.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
42.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
42.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
41.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
41.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
40.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
40.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
40.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
39.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
39.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
39.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
39.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
39.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
39.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
38.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
38.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
38.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
38.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
37.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
36.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
36.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
36.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
36.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
36.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
35.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
35.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
35.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
35.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
34.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
34.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
34.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
34.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
33.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
33.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
32.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
32.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
31.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
31.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
31.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
30.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
30.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
30.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
30.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
29.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
29.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
28.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
27.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
25.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
24.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
24.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
23.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
22.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
22.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
21.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
20.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
20.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
20.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
PPP6R1 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
50.7
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
194.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
101.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
98.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
97.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
93.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
92.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
91.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
90.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
90.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
90.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
90.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
89.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
89.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
86.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
85.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
85.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
85.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
84.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
83.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
81.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
81.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
80.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
79.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
79.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
77.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
77.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
76.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
76.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
75.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
75.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
75.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
74.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
73.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
72.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
72.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
72.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
71.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
70.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
70.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
70.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
69.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
69.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
69.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
69.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
69.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
69.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
69.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
69.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
68.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
68.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
68.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
68.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
67.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
67.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
67.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
67.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
66.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
65.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
64.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
64.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
64.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
63.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
63.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
63.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
63.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
63.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
63.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
63.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
63.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
62.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
61.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
61.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
61.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
60.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
60.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
59.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
59.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
59.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
58.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
58.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
58.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
58.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
57.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
57.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
57.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
57.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
57.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
57.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
57.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
56.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
56.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
56.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
56.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
55.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
55.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
55.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
54.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
54.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
54.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
53.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
53.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
52.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
52.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
51.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
51.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
51.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
51.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
51.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
51.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
50.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
50.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
49.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
49.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
49.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
48.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
48.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
48.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
47.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
47.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
46.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
46.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
45.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
44.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
44.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
43.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
43.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
42.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
42.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
42.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
42.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
40.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
40.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
39.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
38.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
38.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
37.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
37.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
35.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
34.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
33.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
32.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
32.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
30.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
30.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
30.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
28.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
26.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
PPP6R1 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
34.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
54.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
53.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
52.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
49.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
49.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
47.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
43.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
42.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
42.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
40.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
39.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
39.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
39.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
39.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
38.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
38.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
37.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
37.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
34.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
32.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
32.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
31.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
29.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
29.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
28.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
26.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
23.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
22.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
22.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
21.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.1
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.
PPP6R1 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
42.7
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
100.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
71.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
66.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
66.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
65.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
63.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
61.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
57.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
57.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
56.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
56.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
55.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
54.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
54.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
54.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
53.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
51.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
50.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
50.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
49.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
48.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
47.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
47.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
47.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
47.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
44.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
44.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
42.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
42.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
41.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
38.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
33.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
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Normal
0.1
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Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
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Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
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Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
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Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
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Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
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Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
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Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
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Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
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Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
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
