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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFKBIA 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
63.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
349.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
193.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
166.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
151.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
144.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
140.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
130.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
128.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
125.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
118.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
115.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
114.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
114.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
110.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
109.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
107.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
105.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
105.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
105.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
101.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
101.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
100.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
99.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
98.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
97.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
97.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
97.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
94.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
92.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
91.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
91.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
91.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
91.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
90.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
89.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
89.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
87.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
87.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
86.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
86.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
86.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
86.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
86.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
85.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
85.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
84.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
84.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
84.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
84.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
83.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
83.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
82.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
82.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
82.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
81.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
81.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
81.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
80.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
80.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
80.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
79.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
79.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
79.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
79.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
78.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
77.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
77.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
77.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
77.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
77.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
76.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
75.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
75.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
75.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
75.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
75.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
74.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
74.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
74.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
73.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
73.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
72.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
70.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
69.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
68.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
68.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
68.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
68.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
68.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
68.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
68.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
67.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
67.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
67.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
67.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
66.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
66.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
66.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
65.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
65.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
64.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
64.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
64.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
64.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
64.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
64.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
63.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
63.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
63.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
62.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
62.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
62.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
62.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
61.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
61.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
61.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
60.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
60.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
59.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
59.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
59.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
58.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
57.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
57.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
57.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
57.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
56.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
55.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
54.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
53.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
53.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
53.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
53.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
52.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
52.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
52.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
51.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
51.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
51.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
50.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
49.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
49.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
48.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
48.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
47.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
47.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
47.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
47.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
46.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
46.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
46.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
46.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
46.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
46.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
45.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
45.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
44.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
44.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
43.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
43.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
42.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
42.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
42.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
41.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
39.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
38.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
37.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
37.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
37.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
37.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
34.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
33.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
33.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
33.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
32.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
30.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
29.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
26.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
25.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
23.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
22.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
22.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
20.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 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.
NFKBIA 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
106.6
Number of samples
486
Samples
Sample
Description
TPM
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
471.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
354.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
346.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
339.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
317.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
272.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
270.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
265.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
250.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
248.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
234.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
232.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
229.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
228.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
222.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
219.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
211.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
209.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
208.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
208.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
207.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
206.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
205.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
202.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
197.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
192.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
191.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
190.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
190.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
188.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
186.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
184.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
183.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
180.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
179.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
179.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
177.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
176.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
175.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
175.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
175.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
172.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
172.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
170.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
170.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
169.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
169.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
168.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
166.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
165.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
165.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
164.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
163.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
163.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
163.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
162.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
161.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
160.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
157.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
157.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
156.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
155.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
154.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
154.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
153.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
152.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
151.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
151.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
150.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
150.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
150.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
148.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
147.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
146.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
146.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
146.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
146.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
146.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
145.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
145.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
144.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
144.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
143.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
143.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
143.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
142.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
142.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
141.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
141.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
139.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
139.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
138.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
138.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
137.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
136.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
136.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
135.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
134.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
134.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
133.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
133.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
133.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
133.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
133.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
133.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
132.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
131.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
131.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
131.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
129.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
128.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
128.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
128.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
127.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
127.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
126.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
126.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
126.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
126.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
126.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
124.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
124.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
124.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
124.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
124.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
124.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
123.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
123.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
123.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
123.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
122.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
122.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
121.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
121.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
121.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
121.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
120.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
120.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
120.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
120.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
120.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
120.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
119.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
119.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
119.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
119.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
119.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
118.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
117.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
117.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
117.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
117.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
117.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
116.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
116.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
116.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
116.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
116.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
115.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
115.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
115.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
115.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
115.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
115.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
114.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
114.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
114.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
113.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
113.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
113.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
112.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
112.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
112.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
112.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
112.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
111.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
111.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
111.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
111.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
111.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
111.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
111.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
110.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
110.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
109.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
109.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
109.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
108.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
108.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
108.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
108.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
108.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
108.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
108.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
108.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
107.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
107.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
106.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
106.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
105.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
105.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
105.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
105.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
105.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
104.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
104.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
103.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
103.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
102.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
102.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
102.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
102.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
101.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
101.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
101.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
101.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
101.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
101.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
101.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
100.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
100.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
100.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
100.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
99.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
99.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
99.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
98.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
98.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
98.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
98.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
98.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
98.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
98.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
98.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
97.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
97.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
97.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
96.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
96.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
96.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
96.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
96.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
96.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
96.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
95.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
95.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
95.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
95.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
94.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
94.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
94.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
93.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
93.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
93.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
92.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
92.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
92.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
92.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
92.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
92.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
91.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
91.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
91.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
91.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
90.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
90.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
90.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
90.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
90.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
89.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
89.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
89.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
88.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
88.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
88.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
88.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
88.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
88.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
88.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
86.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
86.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
86.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
86.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
86.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
86.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
86.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
86.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
86.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
85.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
85.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
85.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
85.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
85.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
85.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
85.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
85.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
84.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
84.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
84.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
84.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
83.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
83.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
83.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
82.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
82.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
82.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
81.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
81.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
80.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
80.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
80.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
80.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
80.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
80.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
80.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
80.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
80.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
79.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
79.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
79.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
79.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
78.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
78.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
78.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
78.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
78.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
78.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
78.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
77.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
77.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
77.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
77.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
77.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
77.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
77.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
76.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
76.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
76.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
76.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
76.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
76.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
76.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
76.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
75.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
75.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
75.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
75.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
74.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
74.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
74.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
74.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
74.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
74.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
73.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
73.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
73.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
72.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
72.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
72.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
72.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
72.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
72.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
71.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
71.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
71.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
70.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
70.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
70.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
70.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
69.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
69.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
69.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
68.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
68.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
68.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
67.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
67.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
66.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
66.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
65.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
65.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
65.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
65.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
64.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
64.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
64.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
64.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
64.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
63.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
63.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
62.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
61.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
61.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
61.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
61.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
60.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
60.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
59.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
59.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
58.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
58.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
57.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
57.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
56.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
55.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
51.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
49.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
49.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
48.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
47.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
40.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
36.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFKBIA 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
59.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
175.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
136.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
129.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
121.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
113.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
100.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
96.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
95.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
94.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
93.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
92.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
90.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
85.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
84.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
82.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
76.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
74.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
74.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
72.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
71.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
71.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
66.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
66.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
63.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
63.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
60.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
60.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
58.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
58.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
57.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
56.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
56.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
54.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
54.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
53.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
53.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
52.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
52.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
51.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
50.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
50.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
50.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
49.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
48.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
46.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
46.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
45.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
42.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
42.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
41.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
40.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
39.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
38.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
35.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
35.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
34.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
31.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
28.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFKBIA 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
96.6
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
341.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
302.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
268.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
237.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
237.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
235.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
228.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
227.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
212.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
207.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
206.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
200.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
195.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
193.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
189.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
183.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
181.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
174.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
166.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
165.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
158.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
158.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
157.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
156.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
156.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
156.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
154.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
148.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
145.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
143.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
141.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
137.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
132.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
132.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
132.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
132.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
131.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
131.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
130.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
130.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
129.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
128.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
128.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
128.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
127.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
127.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
122.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
122.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
121.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
120.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
120.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
118.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
116.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
114.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
112.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
110.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
109.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
109.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
108.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
107.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
107.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
107.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
104.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
104.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
104.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
102.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
101.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
101.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
101.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
100.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
100.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
97.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
97.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
96.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
94.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
94.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
93.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
93.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
93.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
93.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
93.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
93.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
93.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
93.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
92.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
92.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
92.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
91.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
91.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
91.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
91.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
91.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
91.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
90.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
90.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
90.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
89.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
89.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
88.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
88.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
88.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
88.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
87.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
87.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
86.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
85.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
85.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
85.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
84.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
84.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
82.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
81.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
81.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
79.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
78.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
78.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
77.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
77.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
77.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
76.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
75.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
75.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
74.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
74.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
73.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
73.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
73.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
72.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
72.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
71.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
71.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
70.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
70.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
70.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
70.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
69.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
69.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
69.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
68.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
67.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
66.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
66.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
65.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
64.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
63.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
63.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
63.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
62.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
60.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
59.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
57.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
56.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
55.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
54.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
53.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
53.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
49.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
49.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
47.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
44.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
40.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
40.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.0
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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
