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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.
UBE2N is potential prognostic, high expression is favorable 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
92.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
225.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
213.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
210.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
194.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
185.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
181.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
172.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
163.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
152.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
150.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
146.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
143.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
142.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
139.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
138.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
135.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
134.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
134.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
132.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
131.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
130.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
129.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
129.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
128.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
128.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
128.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
127.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
127.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
126.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
125.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
125.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
125.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
124.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
124.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
122.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
122.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
122.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
120.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
120.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
119.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
118.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
117.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
116.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
116.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
115.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
115.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
115.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
113.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
112.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
112.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
112.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
112.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
111.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
111.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
110.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
110.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
110.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
110.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
108.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
107.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
107.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
107.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
107.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
106.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
106.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
105.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
105.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
104.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
104.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
104.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
104.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
104.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
103.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
103.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
102.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
102.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
102.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
102.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
102.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
102.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
101.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
101.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
101.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
101.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
100.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
100.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
99.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
98.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
98.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
98.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
98.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
98.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
97.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
97.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
97.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
97.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
97.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
97.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
96.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
95.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
95.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
95.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
95.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
94.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
94.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
94.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
94.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
94.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
93.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
93.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
92.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
92.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
92.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
92.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
92.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
91.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
91.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
91.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
91.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
91.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
89.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
89.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
89.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
89.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
88.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
88.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
87.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
87.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
86.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
86.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
86.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
86.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
85.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
85.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
84.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
84.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
84.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
83.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
83.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
83.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
83.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
83.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
83.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
82.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
82.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
82.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
82.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
82.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
82.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
81.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
81.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
81.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
80.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
80.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
80.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
80.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
79.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
79.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
79.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
79.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
79.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
79.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
79.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
78.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
78.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
77.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
77.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
77.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
77.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
77.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
77.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
76.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
76.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
76.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
76.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
75.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
75.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
75.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
74.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
74.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
73.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
72.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
72.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
71.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
69.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
69.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
69.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
69.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
69.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
68.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
68.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
68.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
68.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
68.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
68.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
67.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
66.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
66.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
66.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
65.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
65.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
65.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
65.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
64.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
64.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
64.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
64.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
63.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
63.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
63.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
63.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
62.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
62.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
62.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
62.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
61.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
61.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
61.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
61.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
61.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
61.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
60.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
59.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
59.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
58.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
55.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
54.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
52.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
52.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
51.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
51.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
50.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
49.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
49.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
46.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
43.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
37.6
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.
UBE2N 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
99.7
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
249.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
205.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
197.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
188.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
179.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
177.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
174.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
171.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
170.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
168.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
167.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
159.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
158.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
158.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
157.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
155.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
154.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
152.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
151.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
151.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
150.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
148.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
148.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
147.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
146.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
146.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
145.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
144.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
143.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
143.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
143.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
142.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
141.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
140.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
140.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
140.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
140.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
140.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
139.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
139.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
139.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
138.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
138.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
138.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
138.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
138.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
138.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
138.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
137.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
137.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
136.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
136.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
136.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
135.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
135.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
132.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
132.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
132.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
131.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
130.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
128.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
128.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
128.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
128.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
128.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
127.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
127.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
127.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
127.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
127.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
126.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
126.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
125.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
125.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
124.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
123.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
123.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
123.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
123.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
122.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
122.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
122.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
122.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
121.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
121.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
121.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
121.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
120.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
120.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
120.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
120.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
120.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
120.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
120.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
120.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
119.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
119.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
119.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
119.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
118.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
118.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
118.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
118.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
118.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
118.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
118.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
117.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
117.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
117.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
117.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
117.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
117.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
117.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
116.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
116.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
116.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
116.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
116.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
116.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
116.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
116.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
115.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
115.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
115.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
115.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
115.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
115.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
114.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
114.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
114.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
114.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
114.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
114.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
114.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
114.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
114.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
113.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
113.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
113.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
113.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
113.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
113.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
113.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
112.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
112.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
112.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
112.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
112.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
111.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
111.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
111.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
111.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
111.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
110.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
110.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
110.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
110.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
110.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
110.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
109.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
109.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
109.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
109.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
109.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
109.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
109.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
108.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
108.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
108.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
107.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
107.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
107.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
107.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
107.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
106.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
106.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
106.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
106.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
106.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
106.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
105.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
105.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
105.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
104.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
104.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
104.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
104.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
104.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
104.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
104.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
104.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
104.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
104.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
103.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
103.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
103.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
103.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
103.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
103.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
103.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
103.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
103.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
102.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
102.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
102.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
102.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
102.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
102.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
102.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
102.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
102.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
101.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
101.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
101.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
101.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
101.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
101.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
101.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
101.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
101.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
101.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
100.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
100.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
100.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
100.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
100.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
100.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
100.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
100.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
100.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
100.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
100.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
99.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
99.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
99.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
99.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
99.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
99.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
98.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
98.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
98.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
98.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
98.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
98.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
98.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
98.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
97.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
97.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
97.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
97.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
97.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
97.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
97.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
97.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
97.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
97.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
97.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
97.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
96.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
96.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
96.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
96.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
95.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
95.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
95.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
95.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
95.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
95.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
95.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
94.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
94.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
94.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
94.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
94.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
94.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
94.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
93.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
93.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
93.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
93.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
93.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
93.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
93.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
93.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
92.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
92.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
92.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
92.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
92.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
91.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
91.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
91.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
91.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
91.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
91.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
91.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
91.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
91.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
90.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
90.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
90.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
90.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
90.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
90.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
90.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
90.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
89.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
89.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
89.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
89.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
89.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
89.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
88.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
88.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
88.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
88.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
88.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
88.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
88.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
88.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
88.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
87.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
87.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
87.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
86.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
86.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
86.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
86.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
86.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
86.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
85.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
85.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
84.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
84.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
84.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
84.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
83.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
83.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
83.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
83.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
83.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
83.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
83.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
83.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
83.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
82.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
82.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
82.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
82.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
82.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
82.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
82.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
82.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
82.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
81.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
81.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
81.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
80.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
80.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
80.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
80.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
80.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
80.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
80.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
80.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
79.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
79.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
78.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
78.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
78.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
78.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
78.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
78.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
77.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
77.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
77.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
77.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
77.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
76.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
76.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
76.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
76.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
76.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
76.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
75.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
75.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
75.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
74.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
74.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
74.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
74.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
74.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
73.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
72.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
72.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
72.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
71.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
71.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
71.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
70.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
70.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
70.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
70.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
70.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
69.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
69.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
69.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
69.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
69.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
68.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
68.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
68.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
67.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
67.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
67.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
66.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
66.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
64.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
63.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
63.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
63.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
63.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
62.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
61.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
61.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
61.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
60.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
60.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
60.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
60.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
60.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
59.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
58.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
58.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
57.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
56.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
56.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
55.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
54.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
51.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
50.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
49.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.5
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.
UBE2N 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
91.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
199.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
170.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
153.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
151.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
148.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
148.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
147.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
140.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
136.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
135.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
133.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
133.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
132.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
128.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
126.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
125.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
124.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
120.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
119.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
117.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
117.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
114.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
113.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
112.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
111.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
109.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
108.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
107.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
107.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
107.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
105.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
103.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
103.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
102.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
100.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
97.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
96.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
95.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
95.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
93.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
89.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
88.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
87.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
87.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
86.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
86.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
85.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
85.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
83.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
83.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
83.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
81.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
81.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
78.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
77.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
77.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
77.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
77.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
76.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
75.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
74.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
73.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
71.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
69.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
68.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
65.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
64.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
64.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
63.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
61.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
59.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
57.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
57.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
56.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
53.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
53.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
52.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
46.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UBE2N 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
88.6
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
166.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
162.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
148.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
148.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
148.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
147.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
145.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
141.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
138.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
131.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
130.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
129.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
125.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
125.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
124.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
124.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
122.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
121.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
121.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
120.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
119.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
119.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
118.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
118.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
118.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
117.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
116.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
116.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
115.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
115.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
115.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
114.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
114.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
113.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
112.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
112.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
111.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
110.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
110.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
110.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
110.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
109.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
109.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
109.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
108.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
108.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
108.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
108.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
107.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
107.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
106.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
106.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
105.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
105.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
104.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
104.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
103.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
103.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
103.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
102.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
102.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
101.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
100.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
100.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
100.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
99.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
99.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
98.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
98.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
98.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
98.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
97.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
97.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
97.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
96.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
96.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
95.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
94.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
94.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
94.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
94.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
94.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
93.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
93.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
93.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
93.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
92.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
92.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
91.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
91.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
91.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
90.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
90.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
90.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
89.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
89.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
89.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
88.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
87.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
87.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
87.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
87.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
87.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
87.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
86.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
86.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
86.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
86.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
86.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
85.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
85.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
85.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
85.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
85.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
84.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
84.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
83.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
83.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
83.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
83.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
83.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
82.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
81.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
81.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
80.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
79.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
79.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
79.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
79.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
78.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
78.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
75.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
75.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
75.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
75.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
75.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
74.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
74.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
74.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
74.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
74.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
73.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
73.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
72.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
72.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
71.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
71.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
71.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
71.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
70.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
69.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
69.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
69.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
69.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
67.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
66.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
64.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
63.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
63.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
61.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
61.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
61.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
60.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
60.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
60.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
59.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
58.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
58.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
58.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
57.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
57.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
57.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
57.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
56.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
53.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
53.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
53.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
52.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
49.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
45.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
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Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
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Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
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Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
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
