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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.
WNT11 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
15.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
237.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
169.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
165.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
130.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
113.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
109.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
106.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
94.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
77.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
71.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
70.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
64.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
61.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
61.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
57.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
55.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
54.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
53.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
50.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
34.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
34.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
32.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
26.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
24.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
24.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
22.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
20.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
20.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
19.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
19.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
16.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
16.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
15.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
14.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
14.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
14.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
13.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
12.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
12.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
11.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
11.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
10.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
9.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
9.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
8.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
8.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
8.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
7.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
7.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
6.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
6.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
6.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
5.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
5.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
5.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
5.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
5.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
5.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
5.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
5.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
5.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
4.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
4.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
4.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
4.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
4.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
4.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
4.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
4.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
4.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
4.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
4.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
4.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
4.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
3.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
3.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
3.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
3.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
2.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
2.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
0.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
0.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
0.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
0.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
0.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
0.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
0.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
0.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
0.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
0.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
0.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
0.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
0.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
0.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
0.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 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.
WNT11 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
10.2
Number of samples
486
Samples
Sample
Description
TPM
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
202.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
179.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
153.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
134.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
105.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
103.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
100.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
84.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
84.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
69.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
69.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
69.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
66.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
65.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
52.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
46.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
34.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
31.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
29.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
26.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
26.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
25.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
24.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
24.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
24.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
23.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
22.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
22.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
22.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
22.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
22.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
21.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
21.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
20.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
20.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
20.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
19.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
19.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
19.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
19.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
19.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
19.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
19.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
19.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
18.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
18.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
18.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
18.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
18.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
18.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
18.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
17.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
17.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
17.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
17.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
17.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
17.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
16.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
15.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
15.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
15.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
15.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
14.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
14.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
14.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
14.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
13.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
13.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
13.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
13.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
13.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
13.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
13.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
13.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
13.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
13.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
12.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
12.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
12.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
12.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
12.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
12.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
11.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
11.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
11.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
11.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
11.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
11.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
11.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
11.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
11.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
11.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
11.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
10.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
10.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
10.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
10.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
10.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
10.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
10.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
10.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
10.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
9.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
9.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
9.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
9.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
9.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
9.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
9.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
9.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
9.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
9.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
9.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
8.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
8.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
8.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
8.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
8.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
8.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
8.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
8.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
8.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
8.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
8.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
8.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
8.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
8.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
7.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
7.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
7.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
7.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
7.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
7.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
7.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
7.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
7.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
7.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
7.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
7.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
7.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
7.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
7.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
7.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
7.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
6.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
6.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
6.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
6.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
6.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
6.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
6.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
6.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
6.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
6.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
6.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
6.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
6.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
6.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
6.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
6.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
6.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
6.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
6.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
6.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
6.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
5.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
5.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
5.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
5.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
5.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
5.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
5.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
5.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
5.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
5.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
5.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
5.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
5.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
5.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
5.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
5.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
5.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
5.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
5.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
5.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
5.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
5.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
5.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
5.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
5.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
5.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
5.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
4.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
4.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
4.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
4.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
4.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
4.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
4.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
4.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
4.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
4.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
4.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
4.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
4.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
4.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
4.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
4.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
4.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
4.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
4.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
4.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
4.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
4.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
4.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
3.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
3.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
3.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
3.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
3.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
3.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
3.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
3.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
3.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
3.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
3.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
3.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
3.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
3.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
3.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
3.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
3.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
3.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
3.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
3.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
3.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
3.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
3.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
3.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
3.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
3.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
3.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
3.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
3.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
3.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
3.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
2.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
2.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
2.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
2.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
2.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
2.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
2.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
2.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
2.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
2.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
2.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
2.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
2.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
2.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
2.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
2.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
2.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
2.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
2.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
2.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
2.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
2.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
2.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
2.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
2.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
2.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
2.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
2.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
2.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
2.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
2.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
2.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
2.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
2.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
2.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
2.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
2.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
2.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
2.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
2.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
2.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
2.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
2.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
2.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
2.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
2.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
2.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
2.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
2.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
2.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
2.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
2.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
2.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
2.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
2.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
2.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
1.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
1.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
1.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
1.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
0.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
0.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
0.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
0.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
0.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
0.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
0.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
0.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
0.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
0.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
0.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
0.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
0.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
0.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
0.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
0.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
0.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
0.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
0.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
0.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
0.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
0.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
0.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
0.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
0.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
0.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
0.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
0.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
0.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
0.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
0.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
0.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
0.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
0.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
0.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
0.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
0.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
0.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
0.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
0.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
0.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
0.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
0.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
0.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
0.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
0.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
0.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
0.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
0.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
0.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
0.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
0.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
0.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
0.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
0.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
0.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
0.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
0.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
0.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
0.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
0.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
0.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
0.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
0.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
0.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
0.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
0.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
0.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
0.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
0.1
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.
WNT11 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
18.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
153.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
112.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
93.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
77.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
75.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
71.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
67.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
65.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
62.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
57.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
49.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
42.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
39.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
34.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
31.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
27.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
23.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
22.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
16.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
14.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
13.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
12.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
11.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
10.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
8.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
8.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
8.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
5.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
5.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
5.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
4.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
4.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
3.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
3.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
2.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
2.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
2.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
2.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
0.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
0.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
0.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
0.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 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.
WNT11 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12.4
Number of samples
207
Samples
Sample
Description
TPM
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
150.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
150.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
103.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
98.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
92.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
82.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
80.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
56.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
50.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
34.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
34.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
29.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
27.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
25.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
25.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
24.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
24.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
22.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
21.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
20.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
19.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
18.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
17.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
17.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
16.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
16.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
15.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
15.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
15.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
15.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
13.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
13.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
13.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
13.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
12.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
12.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
12.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
11.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
11.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
11.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
11.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
11.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
10.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
10.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
10.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
9.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
9.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
9.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
9.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
9.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
9.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
9.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
8.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
8.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
8.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
8.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
8.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
8.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
8.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
8.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
7.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
7.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
7.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
7.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
7.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
7.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
7.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
6.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
6.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
6.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
6.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
6.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
6.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
6.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
6.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
6.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
6.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
6.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
6.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
5.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
5.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
5.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
5.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
5.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
5.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
5.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
5.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
5.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
5.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
4.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
4.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
4.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
4.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
4.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
4.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
4.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
4.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
4.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
4.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
4.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
4.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
4.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
4.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
4.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
3.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
3.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
3.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
3.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
3.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
3.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
3.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
3.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
3.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
3.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
3.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
3.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
3.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
3.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
3.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
3.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
2.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
2.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
2.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
2.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
2.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
2.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
2.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
2.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
2.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
2.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
2.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
2.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
2.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
2.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
2.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
2.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
2.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
2.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
2.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
1.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
1.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
1.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
1.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
1.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
1.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
1.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
1.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
0.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
0.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
0.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
0.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
0.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
0.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
0.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
0.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
0.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
0.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
0.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
0.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
0.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
0.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
0.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
0.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
0.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
0.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
3.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
3.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
2.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
2.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
1.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
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
