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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.
UBE2S 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
85.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
284.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
235.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
228.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
201.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
190.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
185.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
184.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
182.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
175.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
167.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
165.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
164.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
163.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
162.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
154.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
153.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
148.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
147.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
147.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
145.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
142.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
138.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
137.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
137.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
136.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
134.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
133.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
128.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
128.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
127.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
127.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
125.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
125.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
124.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
123.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
123.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
123.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
121.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
121.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
120.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
119.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
119.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
119.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
119.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
118.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
117.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
117.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
116.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
116.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
115.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
115.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
114.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
114.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
114.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
114.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
111.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
110.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
110.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
109.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
109.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
108.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
107.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
106.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
105.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
104.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
104.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
104.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
103.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
102.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
102.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
101.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
101.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
100.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
100.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
100.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
99.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
99.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
99.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
99.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
97.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
97.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
96.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
95.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
95.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
94.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
94.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
94.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
94.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
93.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
92.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
92.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
91.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
91.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
90.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
90.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
90.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
90.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
89.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
89.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
88.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
88.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
88.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
87.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
87.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
87.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
86.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
86.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
86.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
86.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
85.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
85.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
85.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
85.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
85.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
85.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
84.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
84.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
83.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
82.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
82.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
80.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
80.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
79.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
79.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
79.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
78.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
78.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
78.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
78.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
77.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
77.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
77.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
77.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
77.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
77.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
75.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
74.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
74.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
74.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
73.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
73.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
72.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
72.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
71.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
69.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
69.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
69.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
68.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
68.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
68.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
67.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
67.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
67.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
67.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
66.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
66.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
66.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
65.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
65.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
65.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
65.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
64.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
64.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
64.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
64.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
64.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
63.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
63.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
63.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
63.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
63.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
62.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
62.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
61.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
61.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
61.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
61.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
60.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
60.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
60.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
60.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
58.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
58.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
58.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
57.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
57.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
57.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
56.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
56.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
55.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
54.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
54.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
54.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
53.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
52.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
52.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
51.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
51.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
50.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
50.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
50.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
49.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
48.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
48.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
48.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
45.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
44.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
43.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
43.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
42.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
37.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
36.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
35.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
34.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
32.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
31.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
28.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
27.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 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.
UBE2S 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
83.7
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
295.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
276.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
265.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
219.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
207.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
198.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
197.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
196.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
188.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
187.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
184.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
181.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
179.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
179.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
173.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
173.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
167.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
166.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
166.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
161.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
160.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
158.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
157.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
156.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
155.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
155.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
155.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
155.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
155.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
153.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
153.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
150.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
150.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
149.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
148.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
147.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
147.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
146.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
144.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
144.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
144.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
144.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
143.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
141.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
140.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
138.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
138.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
137.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
137.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
137.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
137.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
136.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
135.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
134.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
134.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
134.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
134.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
133.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
133.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
132.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
131.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
131.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
130.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
130.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
129.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
129.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
129.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
128.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
128.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
128.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
127.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
126.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
125.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
125.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
123.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
123.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
121.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
120.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
120.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
119.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
119.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
119.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
119.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
119.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
119.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
118.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
118.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
118.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
118.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
118.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
118.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
116.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
116.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
116.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
114.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
114.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
114.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
114.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
114.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
113.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
113.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
113.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
111.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
111.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
111.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
111.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
109.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
109.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
109.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
108.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
108.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
108.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
108.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
108.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
108.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
108.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
107.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
106.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
105.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
105.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
105.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
105.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
105.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
105.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
105.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
105.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
104.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
104.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
104.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
103.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
103.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
103.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
103.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
102.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
102.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
102.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
102.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
102.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
101.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
100.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
100.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
100.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
99.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
99.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
99.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
99.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
99.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
99.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
99.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
98.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
98.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
98.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
98.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
97.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
97.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
96.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
96.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
96.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
96.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
96.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
96.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
95.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
95.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
95.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
94.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
94.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
94.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
94.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
94.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
93.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
93.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
93.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
93.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
93.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
92.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
92.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
92.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
91.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
90.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
90.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
90.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
90.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
89.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
89.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
89.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
89.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
89.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
89.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
89.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
88.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
87.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
87.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
86.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
85.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
85.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
85.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
84.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
84.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
84.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
84.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
83.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
83.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
83.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
83.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
83.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
83.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
82.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
82.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
82.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
81.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
81.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
81.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
81.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
81.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
80.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
80.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
80.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
79.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
79.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
78.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
78.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
77.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
77.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
77.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
76.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
76.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
76.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
76.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
75.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
75.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
75.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
75.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
75.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
74.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
74.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
74.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
74.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
73.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
73.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
73.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
72.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
71.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
71.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
71.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
71.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
70.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
70.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
70.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
70.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
70.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
70.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
70.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
70.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
69.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
69.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
69.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
68.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
68.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
67.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
67.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
67.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
67.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
67.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
67.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
67.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
66.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
66.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
66.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
65.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
65.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
65.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
64.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
64.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
64.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
64.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
63.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
62.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
62.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
62.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
62.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
62.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
62.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
62.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
62.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
61.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
61.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
61.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
61.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
61.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
61.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
60.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
60.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
60.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
59.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
59.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
59.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
58.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
58.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
58.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
58.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
58.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
58.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
57.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
56.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
56.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
54.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
53.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
52.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
52.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
51.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
51.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
50.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
49.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
49.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
49.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
46.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
44.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
42.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
39.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
39.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
38.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
37.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
31.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
31.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
28.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
25.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
18.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
16.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
14.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
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.
UBE2S 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
73.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
205.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
199.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
170.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
160.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
149.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
147.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
134.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
120.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
115.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
113.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
113.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
107.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
105.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
105.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
102.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
102.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
101.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
99.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
99.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
94.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
94.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
92.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
91.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
90.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
89.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
88.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
87.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
87.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
85.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
85.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
83.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
82.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
81.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
81.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
78.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
77.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
76.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
75.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
74.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
74.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
74.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
73.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
72.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
72.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
68.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
68.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
67.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
65.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
63.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
63.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
63.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
62.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
60.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
57.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
53.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
53.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
52.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
48.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
43.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
42.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
42.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
35.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
35.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
30.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
29.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
28.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.7
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.
UBE2S 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
55.0
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
148.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
142.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
129.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
122.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
121.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
114.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
112.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
111.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
111.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
110.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
108.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
107.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
106.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
105.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
103.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
101.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
96.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
95.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
92.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
91.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
90.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
89.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
89.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
88.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
86.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
85.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
85.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
84.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
82.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
82.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
81.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
81.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
80.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
78.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
77.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
76.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
76.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
74.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
74.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
74.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
72.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
70.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
68.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
68.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
68.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
68.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
65.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
62.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
62.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
62.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
61.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
60.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
60.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
60.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
60.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
58.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
58.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
56.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
55.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
55.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
53.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
52.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
52.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
49.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
48.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
48.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
48.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
48.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
47.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
40.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
39.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
39.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
35.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
33.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
29.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
27.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
23.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
22.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
20.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
20.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
19.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
18.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
15.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
7.4
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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
