We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFE2L2 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
60.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
115.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
115.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
109.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
109.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
107.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
104.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
102.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
98.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
97.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
96.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
92.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
92.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
91.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
91.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
90.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
88.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
87.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
86.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
86.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
86.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
85.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
85.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
85.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
84.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
84.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
84.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
84.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
83.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
83.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
82.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
82.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
82.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
82.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
81.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
81.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
81.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
81.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
81.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
78.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
78.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
78.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
78.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
78.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
78.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
77.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
76.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
76.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
75.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
74.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
74.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
74.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
73.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
73.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
73.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
73.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
73.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
73.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
72.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
71.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
71.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
71.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
71.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
70.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
70.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
69.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
68.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
67.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
66.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
66.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
66.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
66.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
66.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
65.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
65.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
64.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
64.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
64.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
64.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
64.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
63.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
63.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
63.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
63.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
63.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
63.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
63.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
63.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
62.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
62.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
62.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
62.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
62.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
62.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
62.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
62.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
62.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
62.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
62.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
62.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
61.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
61.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
61.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
60.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
59.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
59.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
59.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
59.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
59.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
59.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
58.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
58.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
58.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
58.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
58.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
57.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
57.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
57.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
57.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
56.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
55.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
55.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
55.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
54.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
54.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
54.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
53.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
53.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
53.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
53.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
53.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
52.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
52.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
52.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
52.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
52.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
52.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
51.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
51.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
51.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
51.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
51.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
50.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
50.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
50.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
50.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
50.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
49.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
49.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
49.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
49.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
49.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
49.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
49.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
49.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
48.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
48.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
48.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
48.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
47.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
47.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
47.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
46.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
45.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
45.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
45.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
44.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
44.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
44.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
44.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
44.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
43.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
43.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
43.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
42.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
42.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
40.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
40.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
39.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
38.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
37.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
36.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
36.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
36.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
35.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
34.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
32.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
30.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFE2L2 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
116.9
Number of samples
486
Samples
Sample
Description
TPM
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
190.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
189.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
184.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
176.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
174.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
173.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
171.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
170.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
170.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
169.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
166.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
164.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
164.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
163.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
163.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
161.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
159.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
159.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
158.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
158.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
157.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
156.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
156.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
155.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
155.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
154.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
152.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
150.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
149.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
148.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
148.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
147.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
147.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
147.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
146.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
146.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
145.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
145.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
145.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
144.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
144.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
144.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
144.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
143.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
143.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
142.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
142.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
142.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
141.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
141.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
140.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
140.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
140.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
140.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
139.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
139.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
139.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
139.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
139.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
139.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
139.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
138.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
138.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
138.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
138.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
138.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
138.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
137.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
137.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
137.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
137.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
137.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
136.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
136.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
136.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
136.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
136.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
136.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
136.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
135.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
135.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
135.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
135.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
134.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
134.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
134.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
134.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
134.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
134.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
134.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
133.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
133.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
133.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
133.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
132.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
132.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
132.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
132.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
132.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
131.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
131.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
131.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
131.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
131.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
131.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
130.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
130.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
130.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
130.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
129.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
129.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
129.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
129.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
129.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
129.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
129.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
128.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
128.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
128.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
128.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
128.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
128.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
128.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
128.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
127.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
127.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
127.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
127.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
127.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
127.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
126.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
126.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
126.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
126.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
126.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
126.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
126.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
126.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
125.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
125.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
125.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
124.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
124.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
124.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
124.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
124.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
124.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
124.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
124.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
123.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
123.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
123.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
123.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
123.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
123.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
123.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
123.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
123.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
122.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
122.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
122.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
122.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
122.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
122.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
122.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
122.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
121.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
121.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
121.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
121.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
121.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
121.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
121.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
121.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
121.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
121.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
121.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
121.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
121.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
121.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
121.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
120.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
120.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
120.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
120.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
120.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
120.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
120.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
120.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
120.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
120.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
119.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
119.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
119.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
119.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
119.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
119.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
119.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
119.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
119.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
119.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
119.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
118.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
118.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
118.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
118.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
118.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
118.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
118.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
118.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
118.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
118.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
117.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
117.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
117.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
117.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
117.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
117.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
117.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
117.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
117.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
117.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
116.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
116.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
116.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
116.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
116.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
116.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
116.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
116.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
116.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
116.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
116.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
116.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
116.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
116.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
115.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
115.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
115.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
115.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
115.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
115.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
115.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
115.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
115.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
115.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
115.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
115.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
114.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
114.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
114.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
114.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
114.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
114.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
114.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
114.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
114.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
114.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
114.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
114.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
114.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
114.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
113.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
113.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
113.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
113.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
113.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
113.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
113.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
113.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
113.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
113.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
113.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
112.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
112.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
112.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
112.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
112.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
112.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
112.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
112.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
112.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
112.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
112.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
112.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
111.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
111.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
111.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
111.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
111.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
111.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
111.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
111.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
111.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
111.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
110.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
110.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
110.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
110.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
110.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
110.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
109.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
109.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
109.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
109.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
109.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
109.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
109.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
109.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
109.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
108.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
108.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
108.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
108.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
108.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
108.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
108.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
108.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
107.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
107.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
107.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
107.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
107.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
107.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
107.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
107.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
107.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
107.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
107.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
106.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
106.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
106.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
106.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
106.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
106.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
106.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
106.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
106.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
106.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
106.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
106.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
105.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
105.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
105.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
105.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
105.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
105.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
105.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
105.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
105.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
105.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
105.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
104.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
104.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
104.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
104.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
104.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
104.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
104.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
104.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
104.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
104.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
104.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
104.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
103.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
103.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
103.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
103.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
103.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
103.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
103.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
103.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
103.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
103.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
103.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
103.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
103.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
103.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
103.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
103.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
103.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
102.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
102.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
102.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
102.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
102.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
102.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
101.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
101.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
101.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
101.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
101.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
101.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
101.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
101.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
101.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
101.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
101.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
101.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
101.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
100.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
100.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
100.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
100.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
100.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
100.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
100.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
100.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
99.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
99.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
99.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
99.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
99.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
99.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
98.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
98.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
98.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
98.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
98.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
98.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
98.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
97.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
97.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
97.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
97.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
97.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
96.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
96.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
96.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
96.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
96.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
96.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
95.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
95.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
95.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
95.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
94.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
94.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
94.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
94.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
94.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
94.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
93.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
93.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
92.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
92.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
92.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
92.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
92.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
91.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
91.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
91.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
91.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
90.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
90.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
89.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
89.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
89.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
88.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
87.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
86.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
86.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
86.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
86.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
86.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
86.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
85.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
84.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
83.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
83.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
82.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
80.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
78.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
76.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
74.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
72.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
71.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
70.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.0
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.
NFE2L2 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
63.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
133.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
104.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
100.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
96.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
94.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
86.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
85.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
85.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
85.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
84.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
82.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
81.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
80.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
78.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
78.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
76.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
76.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
75.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
74.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
73.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
73.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
72.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
72.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
71.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
71.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
71.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
69.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
69.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
68.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
67.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
66.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
65.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
65.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
65.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
65.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
64.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
62.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
61.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
61.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
61.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
60.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
60.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
60.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
60.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
60.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
59.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
59.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
56.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
56.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
55.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
55.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
54.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
53.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
53.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
53.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
52.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
51.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
50.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
50.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
49.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
45.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
43.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
33.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
27.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
27.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFE2L2 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
114.4
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
230.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
210.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
182.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
169.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
167.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
163.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
161.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
161.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
156.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
154.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
153.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
151.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
150.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
149.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
146.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
145.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
144.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
144.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
144.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
143.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
141.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
141.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
141.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
139.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
139.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
139.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
138.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
138.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
138.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
137.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
136.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
135.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
134.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
134.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
132.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
131.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
131.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
131.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
130.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
130.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
130.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
130.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
129.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
129.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
129.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
128.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
127.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
127.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
127.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
126.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
126.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
126.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
126.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
126.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
126.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
126.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
125.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
125.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
125.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
125.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
124.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
123.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
123.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
122.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
122.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
122.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
122.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
122.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
122.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
121.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
121.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
121.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
121.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
120.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
120.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
119.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
119.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
118.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
118.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
118.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
118.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
117.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
117.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
117.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
116.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
116.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
116.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
116.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
116.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
116.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
116.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
116.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
116.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
115.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
115.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
115.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
115.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
115.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
114.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
114.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
114.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
114.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
114.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
114.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
113.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
113.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
113.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
113.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
112.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
112.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
112.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
111.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
111.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
111.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
110.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
110.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
110.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
109.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
109.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
108.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
108.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
108.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
108.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
107.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
107.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
106.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
106.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
106.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
106.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
106.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
106.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
106.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
106.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
106.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
105.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
104.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
104.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
104.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
103.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
103.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
102.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
102.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
101.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
100.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
100.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
100.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
100.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
100.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
99.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
99.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
99.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
99.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
99.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
98.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
98.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
98.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
98.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
98.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
97.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
97.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
97.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
96.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
96.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
96.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
96.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
95.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
95.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
95.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
94.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
94.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
94.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
93.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
93.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
92.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
92.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
92.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
91.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
91.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
91.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
90.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
89.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
89.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
89.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
88.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
88.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
88.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
88.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
87.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
87.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
86.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
85.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
84.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
84.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
84.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
83.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
83.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
83.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
83.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
80.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
80.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
77.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
74.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
72.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
69.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
66.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
63.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
58.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
