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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.
PPP2CB 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
47.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
130.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
116.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
115.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
106.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
101.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
99.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
93.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
92.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
86.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
85.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
84.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
83.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
82.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
81.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
80.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
80.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
79.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
79.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
77.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
76.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
75.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
75.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
74.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
74.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
73.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
73.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
73.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
73.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
73.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
72.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
72.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
69.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
68.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
68.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
67.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
67.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
66.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
64.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
64.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
63.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
62.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
62.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
61.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
60.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
60.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
60.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
59.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
59.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
58.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
58.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
58.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
58.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
57.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
57.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
57.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
56.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
56.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
55.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
55.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
55.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
54.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
53.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
53.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
51.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
50.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
50.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
50.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
50.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
49.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
49.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
48.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
48.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
48.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
48.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
48.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
48.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
47.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
47.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
47.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
46.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
46.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
46.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
45.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
45.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
44.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
43.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
43.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
43.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
42.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
42.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
42.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
42.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
41.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
41.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
40.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
40.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
39.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
39.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
38.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
38.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
38.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
37.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
37.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
37.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
36.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
35.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
35.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
35.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
35.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
34.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
34.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
34.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
33.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
33.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
33.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
33.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
30.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
30.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
30.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
29.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
29.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
28.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
28.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
26.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
26.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
25.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
25.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
25.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
25.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
25.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
25.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
24.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
24.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
23.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
23.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
23.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
22.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
22.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
20.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
19.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
15.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
PPP2CB 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
46.6
Number of samples
486
Samples
Sample
Description
TPM
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
94.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
93.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
89.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
88.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
84.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
82.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
80.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
80.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
79.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
77.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
76.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
76.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
74.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
72.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
71.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
71.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
69.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
69.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
68.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
68.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
68.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
67.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
67.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
67.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
67.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
66.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
66.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
65.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
65.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
65.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
65.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
64.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
64.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
64.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
64.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
63.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
63.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
62.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
62.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
61.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
61.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
61.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
61.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
60.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
60.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
60.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
59.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
59.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
59.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
58.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
58.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
58.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
58.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
58.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
58.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
58.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
57.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
56.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
56.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
55.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
54.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
54.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
54.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
53.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
53.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
53.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
52.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
52.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
52.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
52.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
52.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
51.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
51.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
50.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
50.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
50.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
49.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
49.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
48.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
48.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
48.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
48.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
47.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
47.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
47.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
46.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
45.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
45.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
44.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
44.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
43.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
43.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
42.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
41.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
40.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
38.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
38.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
37.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
37.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
37.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
37.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
37.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
37.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
37.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
36.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
36.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
35.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
34.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
34.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
33.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
33.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
33.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
31.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
31.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
31.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
30.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
30.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
29.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
28.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
28.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
28.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
28.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
28.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
27.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
27.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
27.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
27.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
27.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
27.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
26.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
25.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
25.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
25.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
24.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
24.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
23.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
23.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
23.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
23.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
22.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPP2CB 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
44.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
99.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
91.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
84.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
83.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
77.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
76.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
74.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
74.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
72.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
71.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
71.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
67.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
65.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
65.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
64.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
58.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
58.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
56.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
54.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
53.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
50.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
50.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
45.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
45.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
45.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
44.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
44.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
41.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
39.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
36.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
35.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
34.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
33.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
32.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
31.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
30.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
28.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
27.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
27.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
22.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
21.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
20.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
20.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
20.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 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.
PPP2CB 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
39.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
124.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
93.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
74.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
71.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
67.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
66.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
66.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
66.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
65.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
64.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
63.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
60.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
58.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
57.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
57.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
57.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
57.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
57.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
56.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
55.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
51.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
49.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
47.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
45.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
45.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
42.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
42.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
42.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
41.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
41.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
40.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
40.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
38.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
36.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
35.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
33.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
30.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
29.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
29.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
28.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
27.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
27.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
27.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
27.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
26.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
25.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
25.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
24.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
24.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
23.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
23.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
22.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
21.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
20.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
20.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
19.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
19.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
18.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
18.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
15.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
14.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.3
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
