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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.
EPS8L3 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
83.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
191.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
176.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
176.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
166.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
159.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
152.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
151.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
151.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
149.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
146.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
144.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
144.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
143.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
137.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
137.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
136.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
135.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
134.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
131.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
131.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
131.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
130.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
129.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
128.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
127.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
125.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
124.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
120.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
120.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
120.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
120.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
118.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
118.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
118.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
118.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
117.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
117.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
116.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
116.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
115.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
115.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
115.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
114.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
114.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
113.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
113.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
113.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
112.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
111.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
111.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
111.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
110.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
109.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
109.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
108.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
108.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
108.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
108.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
108.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
107.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
107.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
107.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
107.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
105.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
104.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
104.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
104.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
103.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
103.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
102.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
102.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
102.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
102.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
102.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
102.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
101.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
101.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
101.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
100.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
99.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
98.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
98.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
98.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
97.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
97.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
96.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
96.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
95.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
94.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
94.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
94.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
94.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
92.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
92.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
92.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
92.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
92.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
92.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
91.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
91.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
91.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
91.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
90.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
90.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
90.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
89.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
89.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
89.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
89.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
89.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
89.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
89.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
89.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
88.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
87.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
87.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
87.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
87.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
86.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
86.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
85.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
85.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
84.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
84.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
83.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
83.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
82.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
82.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
81.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
81.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
81.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
81.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
81.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
81.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
80.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
80.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
79.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
78.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
78.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
78.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
77.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
77.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
76.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
76.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
76.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
75.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
75.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
74.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
74.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
74.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
72.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
72.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
71.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
71.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
71.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
70.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
70.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
70.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
70.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
70.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
70.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
70.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
69.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
68.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
68.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
68.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
68.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
68.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
67.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
67.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
66.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
66.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
66.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
65.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
65.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
65.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
65.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
64.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
64.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
64.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
64.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
64.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
64.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
63.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
63.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
63.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
63.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
62.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
61.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
61.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
59.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
59.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
58.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
57.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
56.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
55.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
53.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
53.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
53.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
52.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
51.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
51.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
50.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
48.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
48.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
47.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
46.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
46.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
44.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
43.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
43.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
43.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
42.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
40.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
37.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
21.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
19.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
15.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
9.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
EPS8L3 is potential prognostic, high expression is favorable in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
88.3
Number of samples
486
Samples
Sample
Description
TPM
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
199.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
192.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
190.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
189.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
178.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
167.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
166.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
161.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
156.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
155.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
155.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
154.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
154.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
152.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
152.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
151.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
150.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
150.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
149.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
148.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
148.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
147.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
147.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
146.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
146.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
146.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
146.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
145.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
145.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
145.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
144.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
144.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
144.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
143.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
143.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
143.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
142.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
142.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
141.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
141.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
141.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
141.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
141.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
139.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
139.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
138.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
138.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
137.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
137.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
137.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
136.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
136.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
136.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
134.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
134.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
134.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
134.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
133.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
132.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
131.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
130.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
130.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
129.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
128.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
128.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
128.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
128.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
128.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
127.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
127.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
127.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
127.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
127.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
126.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
126.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
126.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
126.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
125.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
124.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
123.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
123.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
122.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
121.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
121.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
121.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
121.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
120.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
120.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
119.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
119.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
119.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
119.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
119.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
119.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
118.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
118.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
118.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
118.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
117.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
116.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
116.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
116.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
116.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
115.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
115.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
115.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
114.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
114.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
113.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
113.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
112.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
112.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
112.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
112.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
111.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
111.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
111.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
110.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
110.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
110.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
109.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
108.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
108.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
107.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
107.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
107.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
107.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
106.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
106.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
105.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
105.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
105.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
105.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
105.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
105.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
104.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
104.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
104.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
104.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
104.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
104.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
103.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
103.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
103.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
103.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
103.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
102.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
102.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
102.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
102.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
102.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
101.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
101.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
101.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
101.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
101.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
101.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
100.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
100.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
100.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
100.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
100.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
100.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
99.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
99.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
99.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
99.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
99.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
98.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
98.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
97.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
97.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
97.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
97.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
97.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
97.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
97.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
97.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
97.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
96.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
96.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
96.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
96.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
96.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
96.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
96.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
95.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
95.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
95.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
95.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
95.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
95.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
95.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
95.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
94.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
94.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
94.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
94.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
93.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
93.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
93.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
93.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
93.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
93.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
93.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
92.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
92.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
92.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
92.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
92.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
92.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
91.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
91.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
91.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
91.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
91.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
91.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
90.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
90.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
90.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
90.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
90.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
89.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
89.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
89.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
89.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
89.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
89.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
89.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
89.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
88.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
88.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
88.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
88.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
88.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
88.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
87.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
87.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
87.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
86.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
86.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
86.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
85.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
85.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
85.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
85.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
85.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
85.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
84.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
84.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
84.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
83.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
83.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
83.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
83.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
83.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
83.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
83.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
83.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
82.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
82.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
82.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
81.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
81.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
81.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
81.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
80.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
80.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
80.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
80.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
79.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
79.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
79.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
79.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
79.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
79.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
78.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
78.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
78.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
78.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
78.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
78.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
77.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
77.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
77.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
77.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
77.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
77.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
76.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
76.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
76.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
76.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
76.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
75.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
74.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
74.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
74.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
74.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
73.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
73.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
73.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
73.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
73.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
73.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
73.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
72.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
71.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
71.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
71.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
71.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
70.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
69.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
69.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
69.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
69.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
68.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
68.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
68.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
68.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
68.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
67.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
67.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
67.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
66.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
66.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
66.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
66.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
65.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
65.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
65.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
64.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
64.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
64.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
63.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
62.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
62.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
62.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
62.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
61.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
61.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
60.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
60.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
60.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
60.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
59.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
59.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
59.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
58.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
58.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
58.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
57.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
57.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
56.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
56.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
55.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
54.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
53.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
53.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
51.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
48.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
48.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
47.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
45.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
41.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
36.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
33.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
30.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
27.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
26.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
25.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
23.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
21.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
18.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
16.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
12.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
12.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
11.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
10.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
7.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
EPS8L3 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
82.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
172.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
172.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
166.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
164.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
148.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
145.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
136.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
133.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
126.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
123.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
121.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
116.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
115.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
113.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
113.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
110.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
108.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
107.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
106.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
105.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
104.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
104.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
103.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
101.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
99.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
99.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
96.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
93.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
93.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
92.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
88.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
88.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
87.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
87.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
86.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
85.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
85.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
82.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
82.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
82.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
82.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
79.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
79.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
77.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
77.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
77.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
76.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
76.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
76.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
75.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
75.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
74.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
73.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
73.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
73.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
72.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
71.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
68.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
68.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
68.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
68.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
64.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
62.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
60.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
59.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
56.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
53.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
50.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
47.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
46.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
38.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
37.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
35.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EPS8L3 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
100.5
Number of samples
207
Samples
Sample
Description
TPM
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
213.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
206.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
202.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
199.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
183.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
182.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
181.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
177.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
160.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
159.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
159.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
159.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
158.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
157.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
156.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
155.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
153.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
153.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
151.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
149.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
147.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
146.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
144.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
144.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
141.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
140.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
140.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
139.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
139.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
138.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
138.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
136.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
134.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
133.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
132.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
130.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
130.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
129.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
129.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
129.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
128.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
128.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
128.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
128.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
127.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
127.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
126.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
125.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
125.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
124.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
124.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
124.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
123.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
122.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
122.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
122.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
121.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
120.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
120.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
119.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
118.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
116.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
116.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
115.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
115.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
115.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
114.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
113.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
113.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
113.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
110.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
110.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
110.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
109.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
109.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
109.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
108.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
108.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
108.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
107.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
107.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
107.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
106.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
106.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
106.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
106.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
106.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
105.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
105.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
104.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
103.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
103.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
103.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
102.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
102.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
102.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
101.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
98.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
98.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
98.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
98.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
97.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
96.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
96.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
95.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
95.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
94.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
94.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
94.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
93.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
93.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
93.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
92.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
92.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
92.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
91.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
91.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
90.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
90.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
89.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
89.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
88.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
87.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
86.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
86.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
85.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
85.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
84.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
84.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
83.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
83.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
83.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
82.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
82.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
82.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
81.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
81.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
80.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
80.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
79.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
79.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
78.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
78.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
78.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
78.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
78.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
77.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
77.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
77.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
77.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
77.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
76.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
76.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
74.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
74.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
73.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
73.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
73.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
72.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
72.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
72.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
71.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
71.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
70.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
69.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
68.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
67.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
65.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
64.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
64.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
62.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
62.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
61.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
61.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
61.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
58.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
58.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
56.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
55.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
48.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
39.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
32.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.6
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
