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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.
RAE1 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
31.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
84.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
73.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
71.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
71.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
69.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
68.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
68.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
68.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
59.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
59.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
59.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
58.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
57.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
55.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
55.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
54.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
54.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
54.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
53.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
53.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
52.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
51.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
50.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
50.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
49.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
48.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
47.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
47.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
46.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
46.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
46.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
46.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
46.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
45.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
45.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
44.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
44.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
42.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
42.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
41.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
41.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
41.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
40.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
40.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
39.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
38.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
38.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
38.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
36.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
34.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
33.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
33.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
32.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
32.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
32.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
30.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
29.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
29.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
28.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
28.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
28.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
27.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
27.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
26.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
26.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
26.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
26.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
25.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
24.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
23.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
23.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
23.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
22.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
22.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
22.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
22.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
22.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
21.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
21.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
21.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
21.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
21.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
21.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
21.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
21.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
20.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
20.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
20.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
20.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
19.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
19.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
19.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
18.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
18.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
18.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
18.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
18.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
17.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
16.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
15.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
15.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
14.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
14.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
14.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
13.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
11.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 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.
RAE1 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
19.3
Number of samples
486
Samples
Sample
Description
TPM
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
58.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
55.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
49.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
38.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
35.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
35.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
35.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
34.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
34.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
34.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
33.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
33.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
33.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
33.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
33.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
32.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
32.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
31.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
30.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
30.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
30.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
29.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
29.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
29.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
29.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
29.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
28.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
28.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
28.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
27.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
27.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
27.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
27.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
27.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
27.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
27.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
26.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
26.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
26.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
26.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
26.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
26.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
26.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
25.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
25.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
25.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
25.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
25.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
25.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
24.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
24.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
24.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
24.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
24.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
24.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
24.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
24.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
24.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
24.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
24.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
24.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
24.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
23.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
23.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
23.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
23.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
23.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
23.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
23.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
23.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
23.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
23.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
23.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
23.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
23.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
22.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
22.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
22.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
22.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
22.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
22.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
22.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
22.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
22.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
22.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
22.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
22.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
22.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
22.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
22.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
22.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
22.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
21.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
21.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
21.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
21.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
21.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
21.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
21.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
21.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
21.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
21.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
21.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
21.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
21.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
21.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
20.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
20.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
20.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
20.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
20.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
20.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
20.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
20.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
20.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
20.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
20.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
20.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
20.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
20.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
20.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
20.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
20.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
20.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
20.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
20.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
20.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
20.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
20.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
20.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
20.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
20.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
19.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
19.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
19.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
19.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
19.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
19.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
19.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
19.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
19.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
19.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
19.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
19.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
19.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
19.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
19.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
19.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
19.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
18.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
18.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
18.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
18.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
18.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
18.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
18.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
18.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
18.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
18.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
18.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
18.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
18.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
18.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
18.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
18.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
18.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
18.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
18.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
18.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
18.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
18.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
18.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
18.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
18.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
17.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
17.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
17.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
17.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
17.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
17.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
17.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
17.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
17.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
17.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
17.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
17.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
17.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
17.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
16.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
16.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
16.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
16.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
16.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
16.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
16.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
16.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
16.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
16.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
16.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
16.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
16.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
16.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
16.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
16.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
16.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
16.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
16.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
16.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
16.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
16.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
16.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
15.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
15.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
15.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
15.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
15.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
15.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
15.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
15.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
15.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
15.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
15.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
15.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
15.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
15.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
15.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
15.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
15.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
15.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
15.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
15.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
15.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
15.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
15.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
15.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
15.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
15.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
15.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
15.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
15.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
15.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
15.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
15.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
15.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
15.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
15.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
15.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
15.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
15.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
15.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
14.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
14.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
14.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
14.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
14.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
14.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
14.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
14.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
14.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
14.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
14.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
14.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
14.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
14.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
14.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
14.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
14.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
14.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
14.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
14.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
14.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
14.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
14.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
14.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
14.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
14.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
14.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
14.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
14.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
14.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
14.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
14.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
13.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
13.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
13.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
13.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
13.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
13.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
13.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
13.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
13.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
13.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
13.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
13.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
13.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
13.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
13.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
13.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
13.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
13.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
13.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
13.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
13.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
13.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
13.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
13.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
13.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
13.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
13.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
13.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
12.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
12.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
12.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
12.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
12.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
12.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
12.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
12.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
12.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
12.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
12.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
12.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
12.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
12.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
12.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
12.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
12.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
12.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
12.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
12.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
12.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
12.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
12.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
12.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
12.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
12.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
12.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
12.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
12.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
12.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
11.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
11.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
11.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
11.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
11.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
11.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
11.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
11.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
11.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
11.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
11.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
11.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
11.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
11.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
11.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
11.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
11.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
11.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
11.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
11.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
11.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
11.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
11.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
11.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
11.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
11.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
11.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
11.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
11.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
10.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
10.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
10.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
10.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
10.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
10.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
10.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
10.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
10.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
10.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
10.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
10.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
10.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
10.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
10.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
10.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
10.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
10.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
10.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
9.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
9.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
9.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
9.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
9.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
9.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
9.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
9.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
9.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
9.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
9.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
9.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
9.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
9.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
8.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
8.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
8.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
8.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
8.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
8.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
8.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
8.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
8.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
7.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
7.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
6.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
RAE1 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
35.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
82.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
71.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
69.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
66.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
60.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
58.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
53.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
51.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
51.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
51.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
50.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
47.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
46.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
45.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
41.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
40.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
39.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
39.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
36.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
34.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
34.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
33.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
32.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
32.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
32.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
31.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
31.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
30.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
29.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
29.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
28.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
28.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
27.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
27.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
25.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
22.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
20.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
17.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
16.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
RAE1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
20.1
Number of samples
207
Samples
Sample
Description
TPM
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
34.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
33.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
31.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
31.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
31.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
27.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
26.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
26.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
26.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
26.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
25.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
25.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
25.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
25.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
25.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
25.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
24.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
24.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
24.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
24.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
24.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
24.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
24.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
23.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
23.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
23.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
22.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
22.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
22.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
22.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
22.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
22.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
22.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
21.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
21.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
21.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
21.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
21.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
21.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
21.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
21.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
21.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
21.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
21.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
21.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
21.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
20.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
20.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
20.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
20.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
20.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
20.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
20.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
20.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
20.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
20.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
20.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
20.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
20.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
20.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
19.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
19.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
19.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
19.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
19.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
19.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
19.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
19.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
19.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
19.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
19.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
19.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
19.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
19.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
18.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
18.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
18.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
18.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
18.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
18.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
18.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
18.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
18.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
18.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
17.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
17.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
17.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
17.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
17.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
17.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
17.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
17.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
17.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
17.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
17.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
16.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
16.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
16.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
16.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
16.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
16.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
16.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
16.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
15.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
15.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
15.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
15.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
15.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
15.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
15.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
15.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
15.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
15.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
15.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
15.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
15.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
14.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
14.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
14.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
14.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
14.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
13.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
13.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
13.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
13.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
13.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
13.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
12.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
12.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
12.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
12.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
12.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
12.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
12.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
12.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
11.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
11.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
11.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
11.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
11.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
11.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
11.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
11.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
11.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
11.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
11.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
11.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
11.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
10.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
10.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
10.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
10.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
10.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
10.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
10.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
9.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
9.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
9.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
9.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
9.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
8.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
8.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
7.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
7.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
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Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
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Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
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Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
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Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
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Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
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Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
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Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
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Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
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.
The Human Protein Atlas project is funded
