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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.
IRAK1 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
87.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
296.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
246.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
225.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
214.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
212.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
204.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
202.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
196.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
192.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
191.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
175.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
173.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
167.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
165.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
164.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
164.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
162.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
160.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
156.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
156.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
149.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
145.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
143.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
141.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
140.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
137.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
137.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
135.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
134.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
134.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
133.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
133.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
132.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
132.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
131.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
130.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
130.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
128.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
127.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
126.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
125.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
124.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
122.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
119.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
119.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
118.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
118.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
115.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
114.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
114.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
113.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
113.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
112.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
112.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
111.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
110.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
109.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
109.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
108.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
107.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
107.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
107.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
106.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
106.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
105.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
105.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
105.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
105.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
105.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
102.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
100.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
99.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
99.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
98.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
98.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
97.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
96.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
96.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
96.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
94.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
94.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
93.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
93.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
93.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
92.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
92.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
92.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
92.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
92.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
92.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
91.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
90.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
89.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
89.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
88.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
88.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
88.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
87.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
87.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
87.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
87.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
86.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
85.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
85.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
84.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
83.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
83.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
83.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
83.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
82.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
82.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
82.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
82.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
80.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
80.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
79.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
79.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
79.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
79.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
78.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
78.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
78.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
78.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
77.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
77.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
76.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
75.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
75.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
75.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
75.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
74.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
74.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
74.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
73.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
73.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
73.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
73.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
72.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
72.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
72.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
72.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
72.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
72.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
71.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
71.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
71.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
70.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
70.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
70.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
69.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
69.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
69.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
69.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
69.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
69.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
68.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
68.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
67.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
67.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
67.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
66.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
65.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
65.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
64.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
64.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
64.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
63.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
63.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
63.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
63.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
62.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
62.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
62.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
62.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
61.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
61.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
61.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
60.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
60.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
60.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
60.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
60.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
59.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
58.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
58.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
57.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
57.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
57.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
57.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
56.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
56.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
56.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
56.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
56.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
56.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
56.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
55.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
55.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
54.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
54.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
53.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
52.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
51.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
50.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
49.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
49.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
49.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
45.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
44.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
42.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
41.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
40.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
40.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
38.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
33.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
32.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
IRAK1 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
84.6
Number of samples
486
Samples
Sample
Description
TPM
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
385.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
278.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
259.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
258.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
240.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
235.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
225.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
208.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
198.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
195.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
189.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
184.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
183.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
181.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
177.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
176.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
175.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
169.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
166.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
165.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
164.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
163.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
161.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
156.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
155.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
154.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
154.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
153.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
152.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
151.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
150.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
148.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
147.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
146.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
146.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
146.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
145.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
141.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
141.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
141.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
140.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
139.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
138.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
136.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
135.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
134.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
134.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
134.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
133.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
133.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
133.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
131.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
129.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
129.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
129.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
128.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
127.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
127.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
127.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
127.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
127.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
126.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
125.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
125.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
125.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
124.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
124.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
124.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
124.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
122.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
122.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
121.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
120.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
120.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
119.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
118.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
117.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
117.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
117.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
117.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
117.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
116.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
116.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
114.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
114.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
113.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
113.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
113.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
112.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
111.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
111.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
110.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
110.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
109.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
109.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
108.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
108.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
107.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
106.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
106.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
105.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
104.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
104.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
104.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
103.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
103.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
102.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
102.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
102.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
102.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
101.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
101.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
101.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
100.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
100.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
100.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
99.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
99.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
98.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
98.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
97.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
97.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
96.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
96.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
96.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
96.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
95.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
95.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
95.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
95.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
94.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
94.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
94.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
94.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
94.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
93.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
93.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
93.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
93.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
92.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
92.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
92.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
92.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
92.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
92.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
92.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
91.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
91.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
91.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
91.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
91.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
90.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
90.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
90.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
89.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
89.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
89.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
89.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
89.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
88.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
88.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
88.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
88.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
88.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
88.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
87.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
87.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
87.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
86.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
86.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
85.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
85.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
85.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
84.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
84.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
84.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
84.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
83.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
83.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
83.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
83.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
83.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
83.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
82.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
82.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
82.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
82.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
82.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
81.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
81.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
81.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
80.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
80.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
80.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
80.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
79.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
79.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
79.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
79.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
79.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
78.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
78.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
78.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
78.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
78.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
77.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
77.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
77.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
77.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
77.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
77.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
77.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
77.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
77.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
77.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
77.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
76.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
76.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
76.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
76.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
76.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
76.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
75.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
75.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
75.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
75.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
75.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
75.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
75.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
75.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
74.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
74.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
73.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
73.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
73.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
72.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
72.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
72.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
72.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
72.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
71.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
71.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
70.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
70.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
70.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
69.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
69.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
69.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
69.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
68.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
68.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
68.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
68.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
68.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
68.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
68.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
67.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
67.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
67.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
67.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
67.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
66.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
66.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
66.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
66.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
66.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
66.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
65.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
65.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
65.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
64.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
64.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
64.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
64.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
64.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
64.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
64.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
64.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
63.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
63.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
63.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
63.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
63.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
62.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
62.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
62.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
62.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
62.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
61.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
61.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
61.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
61.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
61.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
61.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
61.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
61.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
60.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
60.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
60.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
60.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
60.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
60.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
60.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
59.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
58.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
57.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
56.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
56.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
56.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
56.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
55.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
55.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
54.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
54.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
53.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
53.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
51.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
51.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
50.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
50.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
49.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
44.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
39.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.2
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.
IRAK1 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
83.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
220.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
187.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
164.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
157.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
157.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
149.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
146.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
142.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
132.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
131.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
127.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
118.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
115.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
114.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
114.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
114.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
114.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
111.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
105.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
102.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
102.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
102.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
95.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
94.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
94.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
92.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
92.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
91.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
91.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
89.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
88.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
88.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
86.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
85.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
85.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
84.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
83.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
80.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
79.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
78.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
78.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
78.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
78.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
77.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
75.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
75.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
75.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
75.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
75.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
73.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
69.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
68.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
68.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
68.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
67.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
67.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
65.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
65.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
65.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
63.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
62.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
58.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
58.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
57.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
55.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
54.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
53.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
49.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
48.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
47.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
46.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
45.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
45.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
42.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
37.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
IRAK1 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
77.2
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
256.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
208.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
167.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
148.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
147.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
145.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
144.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
137.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
130.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
128.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
128.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
127.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
127.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
126.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
124.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
120.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
119.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
117.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
116.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
114.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
114.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
113.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
112.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
109.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
109.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
109.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
108.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
108.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
108.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
107.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
105.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
105.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
102.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
101.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
101.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
100.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
100.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
100.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
100.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
99.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
99.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
96.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
95.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
95.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
94.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
94.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
94.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
94.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
93.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
93.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
92.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
91.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
91.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
90.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
90.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
89.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
88.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
88.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
87.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
86.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
85.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
85.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
85.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
84.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
83.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
83.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
83.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
83.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
82.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
82.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
82.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
81.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
81.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
81.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
80.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
80.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
79.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
78.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
78.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
78.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
77.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
77.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
75.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
75.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
74.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
74.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
74.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
74.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
73.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
73.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
73.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
72.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
72.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
72.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
72.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
72.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
71.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
71.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
71.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
71.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
71.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
71.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
70.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
68.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
68.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
68.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
67.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
67.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
67.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
67.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
66.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
66.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
65.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
65.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
64.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
64.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
64.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
64.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
63.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
62.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
62.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
61.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
61.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
60.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
60.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
58.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
58.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
58.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
57.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
57.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
55.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
54.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
54.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
54.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
54.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
49.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
49.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
48.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
48.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
47.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
46.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
43.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
41.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
