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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.
UBE2L6 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
81.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
366.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
352.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
275.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
262.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
254.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
238.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
237.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
217.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
215.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
214.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
208.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
203.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
183.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
178.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
178.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
177.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
175.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
172.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
168.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
165.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
164.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
164.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
163.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
159.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
158.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
157.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
155.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
155.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
149.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
149.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
142.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
141.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
140.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
139.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
138.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
138.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
138.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
138.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
138.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
134.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
134.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
132.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
128.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
125.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
124.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
122.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
122.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
122.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
121.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
120.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
119.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
114.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
114.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
112.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
111.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
111.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
110.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
109.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
109.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
109.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
108.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
107.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
106.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
105.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
104.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
103.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
103.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
102.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
101.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
100.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
99.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
97.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
97.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
95.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
95.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
94.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
94.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
94.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
93.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
92.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
92.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
91.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
90.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
89.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
88.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
88.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
88.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
87.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
87.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
87.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
85.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
84.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
84.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
84.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
84.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
79.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
78.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
78.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
77.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
76.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
76.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
76.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
76.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
75.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
75.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
74.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
73.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
73.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
73.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
72.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
72.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
72.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
71.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
71.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
70.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
70.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
70.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
69.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
69.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
69.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
67.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
67.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
66.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
66.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
65.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
63.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
63.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
62.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
60.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
59.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
58.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
58.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
57.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
56.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
54.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
54.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
53.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
53.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
53.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
53.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
52.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
51.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
51.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
50.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
50.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
50.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
49.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
49.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
48.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
48.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
47.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
44.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
43.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
43.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
43.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
42.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
41.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
41.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
38.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
36.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
34.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
32.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
29.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
24.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
21.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
21.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
UBE2L6 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
96.7
Number of samples
486
Samples
Sample
Description
TPM
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
399.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
396.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
383.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
381.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
355.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
347.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
329.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
309.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
298.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
283.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
280.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
278.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
277.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
277.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
263.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
260.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
257.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
254.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
253.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
248.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
245.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
243.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
240.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
239.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
233.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
232.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
231.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
227.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
224.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
215.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
213.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
210.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
202.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
200.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
199.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
199.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
197.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
196.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
195.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
193.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
192.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
190.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
189.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
186.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
185.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
185.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
184.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
184.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
179.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
178.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
177.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
177.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
176.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
175.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
168.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
165.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
165.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
164.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
163.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
163.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
163.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
161.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
161.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
159.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
158.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
157.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
157.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
153.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
152.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
152.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
152.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
152.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
151.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
151.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
150.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
149.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
149.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
149.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
148.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
144.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
144.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
142.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
141.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
140.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
140.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
139.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
137.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
135.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
135.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
134.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
134.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
133.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
132.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
132.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
132.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
130.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
130.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
129.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
128.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
128.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
128.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
127.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
126.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
126.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
126.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
125.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
125.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
125.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
125.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
124.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
123.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
122.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
121.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
121.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
120.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
120.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
118.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
117.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
117.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
116.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
115.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
114.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
114.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
114.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
113.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
113.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
112.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
112.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
112.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
112.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
112.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
112.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
111.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
111.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
110.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
110.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
110.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
109.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
109.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
108.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
107.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
106.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
105.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
105.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
105.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
105.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
105.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
104.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
103.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
103.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
103.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
103.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
102.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
102.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
101.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
101.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
101.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
100.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
100.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
100.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
100.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
100.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
99.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
99.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
99.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
99.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
98.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
98.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
98.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
97.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
96.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
96.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
96.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
96.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
96.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
96.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
96.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
96.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
95.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
95.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
94.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
94.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
93.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
93.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
93.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
93.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
93.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
92.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
92.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
92.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
92.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
91.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
91.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
91.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
89.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
89.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
89.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
89.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
89.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
89.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
89.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
88.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
88.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
88.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
87.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
87.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
86.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
86.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
86.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
86.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
85.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
84.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
84.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
84.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
84.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
84.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
84.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
83.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
83.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
83.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
83.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
83.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
82.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
82.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
82.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
81.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
81.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
81.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
81.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
81.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
81.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
81.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
80.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
80.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
80.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
80.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
80.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
80.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
79.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
79.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
79.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
79.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
79.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
79.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
78.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
78.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
78.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
78.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
78.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
78.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
77.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
77.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
77.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
77.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
77.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
77.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
76.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
75.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
75.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
75.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
75.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
74.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
74.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
74.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
72.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
72.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
72.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
71.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
71.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
71.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
70.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
70.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
70.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
70.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
69.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
69.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
69.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
69.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
68.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
68.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
67.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
67.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
67.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
67.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
66.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
66.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
66.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
65.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
65.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
65.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
65.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
64.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
64.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
64.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
64.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
64.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
64.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
63.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
63.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
62.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
62.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
62.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
61.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
61.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
61.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
61.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
60.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
60.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
59.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
59.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
59.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
58.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
58.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
57.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
56.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
56.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
55.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
55.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
55.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
55.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
54.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
52.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
50.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
50.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
50.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
47.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
46.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
42.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
41.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
38.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
36.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
35.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
35.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
34.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
30.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
29.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
29.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
28.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
26.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
25.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
23.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
21.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
19.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
15.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.2
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.
UBE2L6 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
68.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
250.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
222.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
187.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
164.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
149.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
142.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
135.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
134.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
132.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
130.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
128.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
126.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
126.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
107.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
100.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
99.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
96.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
91.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
91.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
86.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
86.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
83.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
80.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
80.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
79.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
77.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
75.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
73.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
73.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
71.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
71.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
70.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
70.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
67.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
67.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
67.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
66.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
66.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
65.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
62.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
60.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
58.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
55.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
54.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
53.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
52.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
51.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
51.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
48.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
47.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
44.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
43.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
42.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
39.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
38.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
37.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
36.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
36.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
35.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
34.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
33.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
21.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
21.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
18.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
18.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
13.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 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.
UBE2L6 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
68.7
Number of samples
207
Samples
Sample
Description
TPM
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
210.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
200.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
195.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
183.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
164.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
160.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
158.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
156.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
154.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
152.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
145.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
139.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
134.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
125.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
123.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
116.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
116.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
114.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
111.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
111.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
111.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
109.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
107.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
107.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
106.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
106.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
103.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
103.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
103.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
101.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
101.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
98.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
97.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
97.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
96.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
96.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
96.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
95.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
95.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
94.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
94.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
94.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
93.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
92.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
91.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
91.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
91.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
91.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
90.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
87.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
87.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
86.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
86.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
85.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
84.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
84.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
82.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
81.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
81.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
81.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
81.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
79.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
79.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
79.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
78.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
77.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
77.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
77.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
77.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
76.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
75.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
75.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
75.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
73.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
71.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
70.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
70.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
69.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
69.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
69.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
68.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
67.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
66.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
66.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
65.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
65.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
64.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
64.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
64.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
64.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
64.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
64.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
63.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
62.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
62.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
60.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
58.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
58.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
54.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
54.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
51.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
50.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
44.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
33.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
30.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
23.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
22.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
20.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
20.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
19.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
19.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
17.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
17.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
1.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.1
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
