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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.
WDR74 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
436.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
38125.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28885.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
12682.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
12257.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
3807.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2654.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
119.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
112.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
104.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
97.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
95.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
91.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
90.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
90.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
87.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
86.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
82.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
81.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
81.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
81.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
78.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
76.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
76.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
76.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
75.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
74.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
74.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
73.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
73.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
72.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
72.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
72.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
71.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
71.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
71.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
71.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
70.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
70.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
70.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
69.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
68.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
67.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
67.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
65.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
65.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
65.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
64.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
63.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
62.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
62.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
62.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
62.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
62.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
62.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
61.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
61.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
61.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
61.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
60.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
60.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
60.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
60.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
60.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
60.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
59.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
59.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
59.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
59.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
58.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
58.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
58.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
57.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
57.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
57.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
57.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
57.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
57.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
57.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
56.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
55.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
55.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
55.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
54.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
54.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
54.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
54.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
54.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
54.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
54.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
54.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
53.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
53.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
52.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
52.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
52.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
52.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
51.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
51.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
51.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
51.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
51.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
51.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
50.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
50.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
50.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
49.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
49.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
48.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
48.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
48.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
47.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
47.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
47.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
47.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
46.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
46.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
46.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
45.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
45.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
45.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
45.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
44.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
44.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
44.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
44.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
42.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
42.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
42.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
42.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
42.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
42.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
41.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
41.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
41.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
41.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
41.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
40.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
40.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
40.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
40.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
40.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
39.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
39.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
38.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
38.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
38.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
38.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
37.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
37.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
35.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
35.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
34.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
34.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
34.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
34.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
33.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
33.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
33.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
33.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
33.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
32.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
32.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
32.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
29.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
29.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
27.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
26.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
25.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
25.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
21.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
WDR74 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
329.4
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1083.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
961.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
805.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
759.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
739.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
736.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
714.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
704.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
651.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
633.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
621.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
614.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
609.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
603.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
599.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
595.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
588.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
587.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
581.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
581.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
575.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
565.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
564.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
560.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
556.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
554.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
553.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
551.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
551.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
549.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
547.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
545.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
543.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
543.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
542.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
536.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
533.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
529.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
529.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
527.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
527.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
525.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
522.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
522.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
521.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
520.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
516.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
515.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
513.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
511.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
510.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
508.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
508.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
506.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
505.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
504.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
504.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
502.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
499.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
498.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
497.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
497.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
494.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
493.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
486.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
485.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
484.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
480.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
480.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
478.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
478.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
478.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
476.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
475.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
474.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
474.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
468.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
467.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
466.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
466.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
463.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
462.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
462.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
462.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
461.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
460.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
460.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
459.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
459.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
458.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
458.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
458.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
457.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
456.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
456.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
455.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
453.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
453.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
452.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
452.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
452.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
447.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
447.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
447.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
446.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
446.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
446.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
443.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
442.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
442.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
441.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
440.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
440.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
439.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
438.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
437.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
436.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
436.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
435.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
435.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
435.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
433.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
431.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
430.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
429.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
429.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
425.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
424.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
424.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
420.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
420.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
419.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
418.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
418.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
417.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
417.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
413.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
412.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
412.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
411.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
411.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
410.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
410.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
409.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
408.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
407.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
407.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
406.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
403.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
402.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
401.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
400.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
399.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
399.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
398.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
398.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
398.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
397.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
396.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
396.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
395.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
393.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
393.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
392.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
390.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
390.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
390.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
389.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
388.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
388.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
384.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
384.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
383.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
383.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
383.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
382.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
382.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
381.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
381.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
379.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
376.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
372.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
369.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
368.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
368.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
367.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
366.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
364.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
364.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
363.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
362.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
362.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
362.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
361.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
361.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
361.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
360.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
360.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
359.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
359.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
359.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
359.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
359.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
358.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
357.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
356.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
356.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
356.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
354.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
352.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
351.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
350.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
350.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
345.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
345.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
344.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
343.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
342.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
342.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
342.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
339.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
337.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
336.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
336.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
336.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
336.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
336.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
336.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
336.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
335.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
335.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
334.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
334.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
333.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
332.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
332.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
332.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
330.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
330.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
329.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
328.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
327.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
323.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
322.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
322.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
322.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
321.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
321.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
320.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
320.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
319.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
319.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
318.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
316.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
316.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
316.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
315.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
315.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
314.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
314.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
314.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
313.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
312.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
311.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
309.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
308.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
307.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
307.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
307.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
306.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
305.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
305.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
305.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
305.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
304.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
301.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
299.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
298.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
296.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
296.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
296.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
295.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
295.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
294.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
294.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
291.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
291.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
290.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
289.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
285.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
283.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
282.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
281.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
280.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
280.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
280.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
279.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
278.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
277.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
273.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
272.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
272.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
270.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
269.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
269.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
269.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
266.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
266.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
266.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
266.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
265.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
265.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
263.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
261.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
260.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
257.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
257.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
257.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
257.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
255.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
254.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
252.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
252.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
252.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
252.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
251.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
251.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
251.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
250.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
249.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
248.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
246.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
246.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
246.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
244.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
243.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
242.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
242.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
241.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
239.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
239.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
238.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
236.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
234.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
234.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
233.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
232.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
230.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
230.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
229.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
228.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
228.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
226.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
224.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
222.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
221.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
220.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
220.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
219.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
218.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
217.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
214.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
213.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
212.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
212.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
208.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
208.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
207.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
206.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
206.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
205.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
203.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
203.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
202.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
201.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
201.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
200.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
200.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
198.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
197.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
197.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
196.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
192.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
191.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
190.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
189.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
188.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
187.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
186.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
185.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
184.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
183.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
182.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
182.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
181.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
180.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
178.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
178.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
177.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
176.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
176.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
175.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
175.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
175.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
174.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
173.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
172.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
172.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
169.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
168.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
167.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
167.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
167.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
165.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
165.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
165.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
164.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
163.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
163.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
162.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
162.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
160.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
157.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
156.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
155.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
154.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
153.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
152.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
152.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
148.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
147.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
147.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
146.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
146.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
145.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
141.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
140.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
140.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
139.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
138.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
137.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
135.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
135.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
134.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
133.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
133.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
132.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
132.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
130.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
130.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
127.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
126.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
123.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
123.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
122.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
121.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
120.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
120.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
120.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
118.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
117.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
117.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
116.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
115.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
115.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
115.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
114.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
113.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
112.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
109.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
109.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
107.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
106.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
100.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
100.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
100.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
91.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
88.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
88.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
88.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
84.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
45.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
42.0
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.
WDR74 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
51.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
112.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
106.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
90.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
89.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
85.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
84.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
82.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
81.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
76.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
75.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
73.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
71.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
69.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
69.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
67.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
66.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
65.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
64.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
64.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
63.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
62.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
62.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
59.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
58.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
57.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
56.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
54.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
51.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
51.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
50.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
49.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
48.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
46.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
44.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
43.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
43.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
42.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
41.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
40.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
40.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
40.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
39.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
38.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
37.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
36.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
36.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
33.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
27.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
27.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
22.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 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.
WDR74 is potential prognostic, high expression is favorable 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
261.4
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
662.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
527.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
501.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
439.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
433.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
428.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
417.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
416.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
414.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
410.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
399.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
396.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
395.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
394.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
394.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
384.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
379.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
369.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
365.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
364.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
361.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
361.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
356.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
346.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
346.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
340.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
339.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
338.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
338.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
338.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
335.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
335.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
334.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
329.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
327.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
323.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
322.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
319.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
318.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
317.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
316.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
315.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
314.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
308.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
307.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
306.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
305.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
304.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
303.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
303.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
302.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
301.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
300.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
299.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
297.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
297.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
296.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
296.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
295.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
295.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
292.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
291.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
291.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
290.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
289.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
289.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
286.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
286.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
286.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
285.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
284.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
282.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
281.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
279.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
279.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
278.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
278.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
278.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
277.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
277.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
276.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
275.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
271.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
270.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
270.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
269.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
267.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
267.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
267.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
266.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
266.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
265.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
264.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
263.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
263.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
263.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
263.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
263.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
262.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
262.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
261.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
260.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
259.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
258.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
257.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
257.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
254.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
253.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
253.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
252.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
251.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
251.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
248.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
247.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
246.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
246.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
244.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
243.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
243.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
240.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
240.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
239.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
239.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
239.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
237.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
235.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
235.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
234.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
234.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
234.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
233.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
233.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
232.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
229.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
229.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
226.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
226.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
225.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
224.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
223.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
219.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
218.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
218.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
217.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
214.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
213.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
212.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
212.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
212.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
211.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
211.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
210.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
210.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
210.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
209.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
209.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
209.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
209.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
209.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
208.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
207.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
207.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
204.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
203.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
202.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
202.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
201.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
201.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
200.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
200.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
198.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
196.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
195.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
190.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
189.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
187.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
183.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
183.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
182.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
181.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
181.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
179.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
176.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
174.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
173.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
171.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
165.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
161.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
156.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
155.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
155.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
151.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
146.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
144.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
144.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
143.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
141.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
141.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
137.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
136.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
133.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
132.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
123.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
119.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
104.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
95.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
88.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.8
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.9
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.9
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
