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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.
UGT2B17 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
23.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
375.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
318.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
235.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
225.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
224.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
211.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
204.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
180.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
171.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
144.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
142.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
136.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
129.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
126.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
117.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
116.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
110.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
109.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
106.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
94.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
84.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
79.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
78.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
76.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
74.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
72.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
68.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
59.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
57.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
41.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
36.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
36.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
36.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
35.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
30.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
26.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
23.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
22.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
18.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
18.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
17.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
15.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
15.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
13.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
13.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
13.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
11.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
11.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
10.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
9.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
8.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
8.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
7.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
7.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
6.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
6.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
6.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
6.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
6.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
6.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
6.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
6.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
3.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
3.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
2.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
0.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
0.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
0.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
0.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
0.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
0.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
0.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
0.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
0.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
0.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
0.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
0.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
0.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
0.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
0.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
0.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
0.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
0.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
0.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
0.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
0.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
0.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
0.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
0.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
0.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
0.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
0.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
0.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
0.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
0.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
0.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
0.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
0.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
0.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 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.
UGT2B17 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
33.8
Number of samples
486
Samples
Sample
Description
TPM
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
401.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
287.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
286.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
267.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
252.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
248.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
243.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
221.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
220.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
217.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
215.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
208.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
197.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
187.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
175.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
174.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
171.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
169.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
166.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
162.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
152.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
151.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
149.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
148.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
146.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
144.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
135.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
133.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
125.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
125.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
123.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
115.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
115.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
109.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
109.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
108.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
108.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
107.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
105.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
105.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
105.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
104.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
103.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
101.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
101.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
97.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
95.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
95.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
93.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
91.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
91.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
89.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
89.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
88.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
87.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
86.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
86.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
83.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
81.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
80.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
79.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
78.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
76.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
75.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
74.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
73.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
73.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
71.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
71.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
70.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
70.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
69.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
69.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
69.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
68.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
66.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
63.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
62.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
60.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
60.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
60.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
59.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
55.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
55.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
54.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
46.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
45.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
36.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
33.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
33.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
30.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
30.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
29.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
28.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
28.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
27.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
27.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
26.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
26.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
26.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
26.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
26.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
25.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
24.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
24.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
24.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
23.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
23.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
23.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
22.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
22.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
22.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
22.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
22.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
21.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
21.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
21.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
21.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
20.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
20.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
20.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
20.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
20.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
20.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
19.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
19.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
19.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
19.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
19.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
19.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
19.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
19.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
18.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
18.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
18.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
18.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
18.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
18.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
18.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
18.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
18.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
17.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
17.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
17.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
17.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
17.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
16.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
16.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
16.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
16.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
16.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
16.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
16.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
16.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
16.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
16.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
16.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
15.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
15.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
15.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
15.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
15.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
15.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
15.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
14.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
14.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
14.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
14.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
14.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
14.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
14.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
13.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
13.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
13.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
13.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
13.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
13.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
13.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
12.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
11.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
11.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
11.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
11.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
11.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
10.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
10.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
10.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
10.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
10.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
10.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
9.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
9.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
9.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
9.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
9.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
9.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
9.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
9.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
8.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
8.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
8.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
8.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
8.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
8.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
7.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
7.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
7.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
7.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
7.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
7.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
7.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
7.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
7.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
7.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
6.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
6.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
6.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
6.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
6.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
6.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
6.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
6.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
6.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
6.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
6.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
6.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
6.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
5.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
5.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
5.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
5.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
5.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
4.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
4.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
4.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
4.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
4.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
4.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
4.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
4.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
4.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
4.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
4.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
3.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
3.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
3.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
3.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
3.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
3.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
3.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
3.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
3.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
3.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
3.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
3.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
3.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
3.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
3.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
3.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
2.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
2.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
2.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
2.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
2.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
1.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
0.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
0.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
0.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
0.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
0.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
0.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
0.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
0.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
0.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
0.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
0.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
0.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
0.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
0.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
0.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
0.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
0.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
0.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
0.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
0.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
0.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
0.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
0.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
0.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
0.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
0.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
0.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
0.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
0.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
0.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
0.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
0.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
0.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
0.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
0.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
0.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
0.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
0.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
0.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
0.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
0.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
0.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
0.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
0.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
0.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
0.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
0.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
0.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
0.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
0.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
0.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
0.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
0.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
0.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
0.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
0.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
0.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
0.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
0.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
0.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
0.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
0.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
0.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
0.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
0.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
0.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
0.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
0.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
0.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
0.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
0.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
0.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
0.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
0.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
0.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
0.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
0.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
0.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
0.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
0.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
0.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
0.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
0.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
0.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
0.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
0.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
0.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
0.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
0.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
0.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
0.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
0.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
0.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
0.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
0.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
0.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
0.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
0.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
0.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
0.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
0.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
0.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 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.
UGT2B17 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
24.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
657.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
311.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
234.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
150.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
140.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
68.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
65.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
41.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
31.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
28.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
20.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
20.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
20.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
18.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
17.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
13.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
9.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
8.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
8.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
8.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
7.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
6.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
5.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
5.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
4.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
4.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
4.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
3.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
0.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
0.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
0.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
0.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
0.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
0.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
0.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
0.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
0.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
0.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
0.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
0.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
0.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
0.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
0.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
0.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
0.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 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.
UGT2B17 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
15.2
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
354.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
139.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
138.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
107.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
92.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
75.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
72.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
65.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
52.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
38.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
31.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
30.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
29.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
26.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
25.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
24.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
24.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
24.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
23.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
23.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
23.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
22.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
22.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
21.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
19.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
19.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
18.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
18.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
18.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
18.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
17.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
16.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
16.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
15.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
15.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
15.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
15.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
14.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
14.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
14.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
14.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
13.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
13.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
13.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
12.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
12.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
12.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
12.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
11.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
11.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
10.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
10.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
10.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
10.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
9.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
8.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
8.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
8.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
8.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
7.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
7.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
7.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
7.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
6.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
6.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
6.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
6.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
6.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
6.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
6.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
6.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
5.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
5.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
5.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
5.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
5.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
5.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
5.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
5.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
4.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
4.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
4.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
4.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
4.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
4.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
4.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
3.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
3.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
3.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
3.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
3.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
3.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
3.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
3.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
3.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
2.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
2.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
2.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
2.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
2.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
2.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
2.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
0.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
0.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
0.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
0.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
0.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
0.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
0.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
0.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
0.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
0.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
0.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
0.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
0.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
0.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
0.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
0.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
0.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
0.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
0.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
0.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
0.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
0.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
0.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
0.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
0.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
0.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
0.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
0.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
0.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
0.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
0.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
0.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
0.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
0.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
0.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
0.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
0.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
0.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
0.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
0.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
0.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
0.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
0.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
0.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
0.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
0.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
0.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
0.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
0.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
0.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
0.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
2.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
2.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
2.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
2.5
41a04113-2061-4923-bca5-da586c_D2
Normal
2.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
2.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
2.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
1.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
1.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.9
963fc8db-f412-4427-a198-23f660_D2
Normal
1.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.8
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
1.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
1.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
1.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
1.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
1.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
1.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
1.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
1.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
1.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.2
82157a70-12f1-4913-b548-d98881_D2
Normal
1.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
1.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
1.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
1.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
1.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
1.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
1.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
1.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-1.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-1.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-2.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-2.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-2.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-2.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-2.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-2.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-2.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-2.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-2.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-2.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-2.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-2.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-2.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-2.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-2.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-2.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-2.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-2.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-2.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-2.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-2.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-2.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-2.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-2.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-2.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-2.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-2.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-2.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-2.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-2.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-2.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-2.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-2.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-2.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-2.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-2.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-2.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-2.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-3.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-3.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-3.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-3.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-3.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-3.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-3.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-3.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
