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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.
WDR77 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
42.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
127.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
115.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
104.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
103.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
92.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
91.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
91.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
89.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
88.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
86.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
82.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
81.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
80.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
79.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
77.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
76.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
73.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
73.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
72.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
71.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
71.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
70.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
69.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
69.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
68.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
67.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
67.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
64.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
63.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
63.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
62.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
61.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
61.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
60.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
60.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
60.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
59.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
59.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
59.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
57.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
56.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
56.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
56.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
55.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
55.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
55.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
54.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
52.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
52.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
52.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
51.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
51.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
50.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
50.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
50.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
50.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
49.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
48.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
48.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
48.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
47.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
47.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
47.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
47.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
47.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
47.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
47.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
46.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
46.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
46.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
45.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
45.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
44.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
44.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
44.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
43.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
42.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
42.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
42.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
42.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
41.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
40.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
40.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
40.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
40.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
39.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
39.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
39.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
39.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
39.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
38.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
38.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
37.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
37.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
36.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
36.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
35.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
35.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
35.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
35.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
34.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
34.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
34.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
34.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
34.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
34.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
33.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
33.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
33.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
33.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
33.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
31.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
31.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
30.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
30.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
30.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
29.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
27.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
26.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
26.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
25.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
25.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
24.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
23.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
21.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
21.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
20.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
20.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
18.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
17.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
16.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
12.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
11.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
WDR77 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
28.3
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
104.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
89.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
66.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
64.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
62.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
59.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
57.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
56.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
52.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
52.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
52.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
50.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
47.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
45.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
45.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
45.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
43.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
41.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
39.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
38.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
38.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
38.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
38.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
38.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
37.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
36.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
36.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
35.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
34.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
34.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
34.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
34.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
33.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
33.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
33.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
33.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
32.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
32.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
32.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
31.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
31.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
31.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
31.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
31.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
31.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
31.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
31.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
31.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
30.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
30.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
30.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
30.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
30.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
30.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
30.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
30.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
30.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
30.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
29.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
29.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
29.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
29.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
29.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
29.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
29.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
29.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
29.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
28.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
28.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
28.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
28.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
28.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
28.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
28.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
28.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
28.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
28.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
28.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
28.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
27.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
27.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
27.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
27.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
27.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
27.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
27.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
27.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
27.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
27.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
27.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
27.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
27.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
26.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
26.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
26.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
26.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
26.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
26.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
26.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
26.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
26.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
26.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
26.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
26.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
26.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
25.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
25.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
25.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
25.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
25.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
25.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
25.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
25.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
25.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
25.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
25.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
25.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
25.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
25.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
25.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
25.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
25.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
24.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
24.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
24.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
24.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
24.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
24.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
24.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
24.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
24.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
24.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
24.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
24.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
24.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
24.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
24.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
24.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
24.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
24.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
24.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
24.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
24.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
23.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
23.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
23.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
23.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
23.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
23.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
23.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
23.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
23.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
23.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
23.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
23.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
23.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
23.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
23.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
23.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
22.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
22.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
22.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
22.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
22.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
22.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
22.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
22.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
22.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
22.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
22.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
22.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
21.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
21.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
21.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
21.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
21.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
21.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
21.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
21.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
21.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
21.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
21.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
21.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
21.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
21.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
21.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
21.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
21.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
20.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
20.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
20.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
20.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
20.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
20.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
20.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
20.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
20.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
20.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
20.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
20.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
20.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
20.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
20.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
20.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
20.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
20.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
20.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
20.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
19.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
19.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
19.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
19.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
19.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
19.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
19.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
19.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
19.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
19.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
19.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
19.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
19.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
19.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
19.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
19.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
19.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
19.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
19.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
19.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
19.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
19.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
18.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
18.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
18.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
18.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
18.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
18.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
18.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
18.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
18.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
18.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
18.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
18.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
17.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
17.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
17.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
17.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
17.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
17.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
17.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
17.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
17.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
17.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
17.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
17.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
17.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
17.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
17.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
17.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
17.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
17.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
16.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
16.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
16.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
16.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
16.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
16.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
16.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
16.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
16.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
16.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
16.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
16.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
16.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
15.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
15.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
15.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
15.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
15.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
14.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
14.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
14.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
14.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
14.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
14.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
13.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
13.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
13.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
13.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
13.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
13.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
13.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
13.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
13.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
12.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
12.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
11.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
11.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
11.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
10.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
8.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
WDR77 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
42.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
88.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
79.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
77.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
76.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
75.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
73.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
69.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
64.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
64.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
63.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
60.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
59.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
58.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
56.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
56.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
56.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
55.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
53.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
53.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
52.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
51.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
49.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
48.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
47.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
46.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
45.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
44.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
42.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
41.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
38.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
38.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
38.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
36.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
34.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
34.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
31.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
30.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
29.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
28.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
28.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
26.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
26.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
25.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
24.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
22.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
20.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
18.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 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.
WDR77 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
29.4
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
73.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
59.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
55.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
46.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
45.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
44.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
43.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
42.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
41.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
40.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
40.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
37.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
35.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
35.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
35.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
34.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
34.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
34.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
33.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
32.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
31.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
30.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
30.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
29.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
29.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
29.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
28.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
28.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
28.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
27.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
27.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
27.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
27.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
27.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
26.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
26.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
26.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
26.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
26.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
26.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
25.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
25.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
25.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
25.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
25.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
25.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
25.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
24.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
24.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
24.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
24.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
24.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
23.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
23.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
23.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
23.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
23.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
22.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
22.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
22.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
22.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
22.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
22.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
22.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
22.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
21.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
21.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
21.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
21.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
21.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
21.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
20.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
20.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
20.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
20.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
20.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
19.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
19.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
19.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
19.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
19.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
18.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
18.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
18.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
18.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
18.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
18.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
17.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
17.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
16.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
15.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
15.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
15.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
14.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
14.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
14.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
14.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
13.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
9.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
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Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
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Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
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Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
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Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
