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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.
NEDD8 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
99.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
187.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
186.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
171.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
167.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
164.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
161.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
155.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
150.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
148.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
147.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
145.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
145.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
140.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
140.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
138.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
137.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
137.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
137.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
136.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
135.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
134.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
134.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
132.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
131.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
131.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
131.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
131.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
130.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
130.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
130.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
129.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
129.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
128.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
128.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
128.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
127.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
127.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
127.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
126.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
126.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
125.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
124.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
123.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
123.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
122.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
122.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
122.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
121.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
121.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
121.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
120.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
120.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
119.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
119.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
118.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
118.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
118.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
117.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
117.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
117.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
116.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
116.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
115.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
115.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
115.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
114.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
114.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
114.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
114.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
114.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
113.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
111.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
111.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
110.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
110.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
109.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
109.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
109.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
109.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
109.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
109.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
109.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
109.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
109.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
108.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
108.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
108.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
108.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
108.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
107.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
107.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
107.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
107.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
106.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
106.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
106.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
106.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
105.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
105.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
105.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
105.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
105.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
105.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
105.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
104.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
104.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
104.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
104.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
104.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
103.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
103.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
103.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
102.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
102.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
102.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
101.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
101.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
101.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
101.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
100.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
100.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
100.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
100.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
99.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
99.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
98.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
98.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
97.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
97.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
97.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
97.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
96.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
96.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
96.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
95.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
95.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
95.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
95.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
95.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
95.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
94.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
94.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
94.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
94.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
94.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
93.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
93.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
93.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
93.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
93.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
93.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
92.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
91.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
91.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
91.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
91.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
91.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
91.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
91.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
90.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
90.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
89.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
89.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
89.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
88.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
88.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
87.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
87.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
87.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
87.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
87.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
87.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
87.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
86.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
85.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
85.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
85.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
84.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
84.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
84.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
83.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
83.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
82.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
82.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
82.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
82.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
82.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
81.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
81.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
80.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
80.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
80.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
79.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
79.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
79.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
79.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
78.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
78.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
78.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
78.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
77.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
77.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
76.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
76.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
76.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
76.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
76.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
75.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
75.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
74.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
74.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
74.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
73.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
73.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
73.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
73.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
73.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
72.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
72.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
72.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
71.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
71.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
70.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
69.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
68.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
68.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
68.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
67.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
67.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
66.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
66.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
65.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
65.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
64.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
63.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
61.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
61.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
60.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
59.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
58.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
50.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
48.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 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.
NEDD8 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
58.1
Number of samples
486
Samples
Sample
Description
TPM
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
119.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
108.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
101.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
98.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
97.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
96.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
94.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
92.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
91.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
88.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
87.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
87.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
87.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
86.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
85.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
85.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
85.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
85.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
84.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
84.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
83.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
82.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
82.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
81.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
80.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
80.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
80.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
79.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
79.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
78.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
78.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
78.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
78.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
78.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
78.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
77.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
77.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
76.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
76.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
75.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
75.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
75.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
75.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
75.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
75.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
74.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
74.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
74.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
74.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
73.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
73.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
73.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
73.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
73.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
73.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
73.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
73.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
72.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
72.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
72.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
72.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
71.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
71.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
71.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
71.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
71.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
71.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
70.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
70.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
70.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
70.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
70.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
70.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
69.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
69.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
69.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
69.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
69.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
69.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
69.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
68.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
68.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
68.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
67.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
67.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
67.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
67.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
67.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
67.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
67.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
66.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
66.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
66.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
65.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
65.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
65.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
65.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
65.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
65.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
64.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
64.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
64.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
64.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
63.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
63.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
63.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
63.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
63.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
63.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
63.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
62.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
62.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
62.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
62.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
62.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
62.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
62.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
61.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
61.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
61.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
61.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
61.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
61.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
61.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
60.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
60.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
60.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
60.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
60.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
60.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
60.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
60.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
59.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
59.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
59.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
59.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
59.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
59.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
58.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
58.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
58.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
58.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
58.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
57.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
57.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
57.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
57.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
57.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
57.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
56.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
56.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
56.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
56.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
56.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
55.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
55.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
54.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
54.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
54.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
53.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
53.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
53.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
53.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
53.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
52.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
52.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
52.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
52.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
51.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
51.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
50.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
50.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
50.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
49.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
49.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
49.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
48.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
48.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
48.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
47.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
47.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
45.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
45.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
45.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
44.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
43.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
43.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
42.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
41.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
39.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
38.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
30.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
NEDD8 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
99.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
165.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
163.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
149.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
140.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
138.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
137.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
137.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
132.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
132.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
129.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
129.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
127.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
127.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
126.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
120.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
118.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
118.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
117.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
117.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
117.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
115.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
115.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
113.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
113.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
112.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
111.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
110.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
110.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
109.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
109.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
107.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
106.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
106.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
105.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
104.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
104.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
103.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
102.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
101.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
101.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
101.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
101.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
98.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
97.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
97.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
97.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
97.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
94.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
93.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
93.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
92.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
91.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
91.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
91.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
91.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
90.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
89.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
89.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
88.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
88.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
86.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
85.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
84.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
84.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
84.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
81.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
80.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
79.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
78.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
76.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
76.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
75.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
75.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
71.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
70.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
69.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
69.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
68.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
67.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
64.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
63.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
61.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
60.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
48.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 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.
NEDD8 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
52.2
Number of samples
207
Samples
Sample
Description
TPM
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
105.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
98.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
96.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
90.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
88.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
87.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
79.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
77.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
76.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
75.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
73.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
72.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
72.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
70.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
70.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
70.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
69.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
69.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
69.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
69.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
68.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
67.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
66.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
65.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
64.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
64.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
64.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
64.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
63.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
63.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
63.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
63.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
62.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
61.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
60.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
60.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
60.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
59.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
58.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
57.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
56.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
56.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
55.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
55.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
54.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
54.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
52.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
52.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
51.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
51.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
49.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
49.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
47.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
45.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
44.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
44.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
44.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
39.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
27.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
