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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.
RNF114 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
88.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
222.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
221.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
192.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
192.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
191.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
191.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
188.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
184.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
183.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
182.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
180.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
175.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
169.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
168.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
167.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
166.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
164.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
161.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
159.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
159.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
156.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
152.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
151.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
146.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
144.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
143.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
143.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
142.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
142.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
139.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
138.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
137.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
137.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
136.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
135.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
131.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
130.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
130.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
127.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
125.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
125.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
123.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
122.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
122.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
121.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
121.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
121.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
121.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
120.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
120.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
120.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
119.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
117.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
116.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
116.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
115.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
115.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
115.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
114.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
114.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
113.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
113.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
111.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
110.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
108.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
107.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
106.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
106.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
105.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
105.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
105.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
105.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
104.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
104.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
102.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
102.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
101.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
101.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
100.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
99.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
99.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
97.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
97.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
97.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
96.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
94.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
94.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
93.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
93.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
92.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
92.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
91.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
90.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
89.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
89.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
89.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
89.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
88.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
88.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
88.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
87.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
86.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
86.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
86.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
84.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
84.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
84.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
84.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
83.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
82.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
82.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
81.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
81.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
80.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
79.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
79.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
79.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
79.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
79.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
78.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
78.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
78.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
77.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
77.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
77.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
77.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
77.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
77.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
76.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
76.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
76.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
76.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
76.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
76.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
76.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
76.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
76.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
75.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
75.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
74.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
74.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
74.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
74.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
74.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
73.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
73.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
71.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
71.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
71.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
71.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
71.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
71.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
71.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
71.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
70.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
70.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
70.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
69.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
69.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
69.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
69.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
69.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
68.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
68.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
68.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
68.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
68.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
67.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
67.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
67.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
66.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
66.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
65.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
65.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
65.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
64.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
64.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
64.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
63.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
63.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
63.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
62.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
62.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
62.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
61.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
60.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
58.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
58.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
58.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
57.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
55.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
55.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
55.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
54.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
54.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
54.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
53.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
53.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
52.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
51.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
50.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
49.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
48.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
48.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
48.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
46.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
45.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
44.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
44.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
42.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
42.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
41.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
40.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
37.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
37.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
36.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
36.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
34.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RNF114 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
46.9
Number of samples
486
Samples
Sample
Description
TPM
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
137.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
126.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
114.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
112.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
103.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
99.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
97.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
92.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
91.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
89.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
89.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
89.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
88.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
87.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
86.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
83.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
83.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
81.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
80.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
80.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
79.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
76.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
76.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
75.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
75.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
74.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
73.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
72.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
71.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
71.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
71.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
71.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
71.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
69.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
69.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
69.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
69.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
69.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
68.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
68.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
68.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
68.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
67.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
67.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
67.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
65.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
65.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
64.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
64.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
64.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
63.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
63.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
63.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
63.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
63.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
62.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
62.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
61.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
60.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
60.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
60.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
60.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
60.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
59.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
59.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
59.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
59.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
59.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
58.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
58.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
57.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
56.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
55.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
54.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
53.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
53.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
53.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
53.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
52.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
52.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
52.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
51.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
51.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
51.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
51.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
50.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
50.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
50.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
49.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
49.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
48.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
48.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
47.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
47.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
47.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
46.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
46.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
46.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
43.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
42.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
42.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
42.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
42.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
41.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
41.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
41.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
41.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
41.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
41.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
40.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
40.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
39.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
39.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
39.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
38.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
38.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
38.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
38.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
37.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
37.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
37.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
36.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
36.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
35.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
35.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
35.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
33.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
33.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
33.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
32.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
32.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
32.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
32.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
31.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
29.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
29.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
29.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
29.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
29.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
29.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
27.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
27.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
27.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
27.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
26.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
25.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
23.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
22.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
22.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
18.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
16.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
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.
RNF114 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
97.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
265.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
249.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
179.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
157.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
155.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
150.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
140.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
140.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
136.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
136.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
133.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
132.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
131.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
131.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
130.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
129.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
127.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
124.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
123.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
118.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
117.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
117.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
116.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
114.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
114.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
113.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
112.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
111.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
110.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
108.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
107.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
106.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
105.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
105.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
104.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
103.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
101.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
101.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
101.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
100.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
100.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
98.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
96.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
95.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
93.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
92.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
92.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
90.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
89.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
89.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
89.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
88.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
88.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
87.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
87.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
86.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
86.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
86.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
83.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
81.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
77.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
77.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
77.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
77.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
75.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
74.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
73.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
70.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
68.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
63.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
62.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
58.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
58.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
56.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
52.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
52.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
47.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
40.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
28.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
RNF114 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
47.5
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
114.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
99.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
98.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
91.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
81.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
81.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
79.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
79.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
78.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
77.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
77.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
72.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
72.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
71.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
69.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
67.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
67.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
65.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
65.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
65.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
64.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
63.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
62.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
59.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
58.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
58.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
56.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
56.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
56.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
55.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
53.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
51.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
50.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
50.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
50.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
47.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
47.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
44.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
44.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
44.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
44.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
33.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
32.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
31.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
26.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
20.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
20.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
19.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
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Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
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Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
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Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
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Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
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Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
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
