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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.
TAX1BP1 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
83.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
277.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
173.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
172.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
165.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
163.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
161.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
156.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
150.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
145.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
141.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
137.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
136.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
136.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
134.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
133.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
132.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
131.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
129.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
129.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
129.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
128.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
128.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
128.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
126.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
123.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
122.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
122.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
120.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
120.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
120.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
120.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
120.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
119.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
117.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
117.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
116.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
116.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
114.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
113.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
112.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
111.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
110.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
110.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
109.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
108.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
107.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
107.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
107.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
106.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
106.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
105.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
105.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
104.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
103.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
102.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
102.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
102.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
102.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
101.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
100.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
98.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
98.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
98.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
98.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
98.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
97.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
97.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
96.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
96.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
96.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
94.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
93.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
93.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
93.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
93.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
92.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
92.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
92.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
92.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
91.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
90.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
90.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
90.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
89.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
89.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
89.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
88.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
87.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
87.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
87.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
86.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
86.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
86.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
85.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
85.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
85.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
85.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
84.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
84.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
84.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
84.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
83.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
83.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
83.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
82.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
82.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
81.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
81.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
81.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
81.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
80.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
80.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
80.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
80.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
80.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
79.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
79.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
79.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
79.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
78.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
78.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
78.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
77.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
77.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
77.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
77.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
77.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
76.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
76.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
76.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
75.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
74.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
74.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
74.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
74.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
73.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
73.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
73.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
73.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
73.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
73.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
72.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
72.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
72.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
72.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
72.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
71.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
71.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
70.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
70.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
70.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
70.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
69.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
69.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
69.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
68.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
67.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
67.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
66.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
66.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
66.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
66.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
65.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
65.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
65.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
65.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
65.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
65.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
65.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
64.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
64.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
64.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
64.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
64.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
64.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
63.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
62.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
62.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
62.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
62.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
61.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
61.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
61.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
61.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
61.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
60.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
60.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
60.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
60.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
60.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
60.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
59.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
59.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
59.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
59.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
59.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
58.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
58.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
57.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
57.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
57.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
56.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
56.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
56.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
55.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
55.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
55.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
55.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
55.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
55.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
55.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
53.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
52.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
52.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
52.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
51.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
50.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
50.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
49.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
48.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
45.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
41.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
37.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 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.
TAX1BP1 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
88.2
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
251.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
206.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
181.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
175.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
175.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
175.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
167.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
161.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
157.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
148.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
146.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
145.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
144.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
144.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
141.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
140.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
139.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
137.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
136.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
136.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
136.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
135.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
135.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
134.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
134.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
134.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
133.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
133.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
133.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
131.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
131.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
129.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
129.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
128.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
128.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
126.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
126.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
125.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
124.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
124.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
123.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
123.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
123.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
123.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
122.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
122.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
121.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
121.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
120.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
120.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
120.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
120.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
118.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
118.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
118.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
117.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
116.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
116.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
116.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
115.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
115.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
114.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
114.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
114.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
113.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
113.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
113.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
112.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
112.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
112.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
112.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
112.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
111.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
111.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
111.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
111.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
111.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
111.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
111.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
110.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
110.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
110.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
110.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
110.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
110.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
110.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
109.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
109.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
109.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
109.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
109.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
108.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
108.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
108.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
107.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
107.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
107.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
107.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
106.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
106.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
106.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
106.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
106.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
106.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
106.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
105.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
105.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
105.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
105.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
105.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
105.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
105.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
104.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
104.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
104.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
104.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
103.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
103.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
103.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
102.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
102.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
102.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
102.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
102.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
101.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
101.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
101.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
100.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
99.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
99.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
99.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
98.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
98.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
98.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
98.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
98.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
98.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
98.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
98.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
97.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
97.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
97.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
97.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
97.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
97.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
97.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
97.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
96.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
96.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
96.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
96.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
96.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
96.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
96.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
96.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
95.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
95.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
95.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
95.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
95.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
95.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
95.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
95.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
95.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
94.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
94.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
93.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
93.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
93.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
93.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
93.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
92.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
92.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
92.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
92.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
92.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
92.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
92.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
92.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
92.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
92.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
91.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
91.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
91.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
91.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
91.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
91.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
91.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
91.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
91.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
90.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
90.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
90.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
90.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
90.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
90.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
90.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
90.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
90.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
89.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
89.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
89.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
89.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
89.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
89.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
89.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
89.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
89.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
89.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
89.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
88.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
88.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
88.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
87.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
87.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
87.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
87.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
87.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
87.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
87.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
87.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
86.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
86.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
86.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
86.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
86.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
86.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
86.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
86.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
86.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
85.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
85.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
85.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
85.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
84.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
84.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
84.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
84.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
84.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
84.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
84.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
84.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
83.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
83.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
83.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
83.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
83.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
83.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
83.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
83.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
82.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
82.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
82.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
82.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
82.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
82.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
81.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
81.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
81.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
81.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
81.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
81.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
81.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
81.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
81.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
80.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
80.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
80.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
80.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
80.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
80.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
80.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
80.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
79.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
79.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
79.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
79.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
79.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
79.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
79.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
79.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
78.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
78.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
78.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
77.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
77.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
77.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
77.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
77.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
77.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
77.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
77.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
76.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
76.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
76.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
76.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
76.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
76.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
76.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
76.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
76.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
76.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
75.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
75.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
75.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
75.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
75.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
74.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
74.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
73.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
73.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
73.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
73.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
72.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
72.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
72.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
72.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
72.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
72.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
71.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
71.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
71.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
71.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
71.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
71.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
71.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
70.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
70.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
70.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
70.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
70.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
70.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
69.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
69.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
69.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
69.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
69.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
69.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
68.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
68.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
68.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
68.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
68.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
68.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
68.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
68.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
68.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
67.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
67.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
67.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
67.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
67.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
67.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
67.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
67.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
66.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
66.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
66.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
65.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
65.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
65.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
65.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
65.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
65.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
64.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
64.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
64.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
63.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
63.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
63.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
63.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
62.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
62.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
62.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
62.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
62.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
61.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
61.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
61.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
61.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
61.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
60.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
59.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
59.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
59.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
59.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
58.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
58.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
58.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
58.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
57.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
57.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
56.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
56.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
55.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
55.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
54.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
54.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
53.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
53.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
50.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
50.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TAX1BP1 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
87.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
182.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
179.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
159.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
158.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
154.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
152.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
147.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
135.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
134.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
132.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
128.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
127.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
127.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
125.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
113.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
108.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
108.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
107.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
105.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
102.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
102.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
101.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
100.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
100.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
98.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
97.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
97.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
96.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
96.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
94.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
92.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
92.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
90.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
89.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
89.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
88.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
88.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
88.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
86.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
86.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
85.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
84.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
84.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
82.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
82.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
82.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
82.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
80.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
80.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
80.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
78.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
77.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
76.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
75.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
75.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
74.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
74.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
72.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
72.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
71.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
70.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
69.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
67.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
66.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
65.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
65.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
63.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
63.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
62.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
62.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
60.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
59.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
56.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
54.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
53.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
51.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
50.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
49.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
41.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
21.8
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.
TAX1BP1 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
83.1
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
193.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
175.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
137.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
137.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
135.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
135.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
134.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
128.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
125.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
122.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
121.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
120.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
120.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
117.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
116.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
116.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
115.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
115.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
115.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
115.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
114.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
113.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
112.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
111.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
110.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
110.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
110.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
109.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
108.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
108.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
108.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
108.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
108.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
107.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
107.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
106.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
105.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
105.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
104.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
104.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
103.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
102.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
102.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
102.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
102.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
101.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
100.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
100.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
99.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
99.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
97.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
96.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
96.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
96.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
96.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
96.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
95.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
94.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
93.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
93.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
93.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
92.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
92.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
92.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
91.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
91.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
91.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
91.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
90.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
90.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
90.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
90.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
89.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
88.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
88.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
88.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
87.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
87.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
87.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
86.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
86.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
85.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
85.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
85.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
85.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
84.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
84.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
84.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
83.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
83.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
83.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
82.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
82.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
82.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
80.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
80.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
80.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
79.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
79.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
79.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
79.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
79.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
79.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
78.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
78.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
77.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
76.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
76.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
75.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
74.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
74.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
74.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
73.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
73.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
73.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
73.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
72.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
72.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
72.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
72.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
72.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
71.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
71.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
71.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
71.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
71.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
71.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
71.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
71.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
70.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
70.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
70.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
70.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
70.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
69.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
69.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
69.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
68.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
68.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
68.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
68.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
68.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
67.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
67.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
67.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
66.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
66.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
66.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
65.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
65.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
64.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
64.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
63.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
63.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
62.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
62.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
61.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
61.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
56.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
55.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
55.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
53.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
48.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
47.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
30.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
2.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_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
