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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.
DDX3Y 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
5.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
25.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
24.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
20.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
17.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
17.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
17.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
16.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
15.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
15.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
14.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
14.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
13.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
13.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
12.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
12.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
12.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
11.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
11.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
11.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
11.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
11.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
10.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
10.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
10.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
10.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
10.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
10.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
9.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
9.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
8.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
8.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
8.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
8.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
7.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
7.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
7.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
6.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
6.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
6.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
6.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
5.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
5.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
5.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
5.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
5.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
4.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
4.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
4.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
4.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
4.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
4.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
3.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
3.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
0.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
0.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
0.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
0.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
0.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
0.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
0.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
0.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
0.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
0.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
0.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
0.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
0.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
0.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
0.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
0.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
0.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
0.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
0.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
0.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
0.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
0.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
0.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
0.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
0.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
0.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
0.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
0.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
0.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
0.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
0.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
0.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
0.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
0.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
0.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
0.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
0.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
0.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
0.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
0.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
0.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
0.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
0.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
0.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
0.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
0.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
0.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
0.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
0.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
0.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
0.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
0.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
0.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
0.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
0.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
0.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
0.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
0.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 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.
DDX3Y 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
11.8
Number of samples
486
Samples
Sample
Description
TPM
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
83.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
71.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
56.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
39.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
39.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
38.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
36.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
34.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
34.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
34.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
34.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
33.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
33.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
32.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
31.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
31.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
31.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
31.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
31.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
30.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
29.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
29.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
29.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
29.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
29.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
28.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
28.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
28.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
28.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
28.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
28.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
27.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
27.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
27.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
27.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
27.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
27.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
27.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
26.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
26.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
26.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
26.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
26.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
25.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
25.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
25.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
25.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
25.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
24.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
24.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
24.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
24.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
24.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
24.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
24.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
24.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
23.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
23.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
23.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
23.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
23.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
23.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
23.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
23.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
23.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
22.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
22.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
22.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
22.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
22.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
22.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
22.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
22.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
22.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
21.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
21.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
21.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
21.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
21.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
21.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
21.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
21.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
20.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
20.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
20.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
20.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
20.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
20.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
20.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
20.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
19.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
19.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
19.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
19.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
19.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
19.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
18.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
18.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
18.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
18.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
18.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
18.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
18.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
18.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
17.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
17.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
17.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
17.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
17.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
17.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
17.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
17.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
17.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
17.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
17.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
17.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
17.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
16.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
15.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
15.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
15.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
15.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
15.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
15.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
15.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
15.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
14.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
14.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
14.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
14.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
14.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
13.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
13.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
13.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
13.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
13.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
12.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
12.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
12.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
12.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
12.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
12.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
11.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
11.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
11.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
11.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
10.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
10.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
10.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
10.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
10.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
10.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
9.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
9.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
9.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
9.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
9.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
9.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
9.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
9.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
8.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
8.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
8.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
8.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
8.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
7.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
7.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
6.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
6.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
6.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
5.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
3.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
0.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
0.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
0.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
0.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
0.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
0.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
0.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
0.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
0.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
0.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
0.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
0.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
0.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
0.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
0.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
0.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
0.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
0.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
0.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
0.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
0.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
0.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
0.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
0.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
0.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
0.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
0.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
0.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
0.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
0.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
0.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
0.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
0.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
0.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
0.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
0.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
0.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
0.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
0.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
0.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
0.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
0.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
0.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
0.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
0.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
0.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
0.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
0.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
0.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
0.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
0.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
0.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
0.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
0.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
0.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
0.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
0.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
0.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
0.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
0.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
0.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
0.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
0.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
0.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
0.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
0.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
0.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
0.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
0.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
0.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
0.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
0.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
0.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
0.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
0.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
0.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
0.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
0.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
0.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
0.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
0.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
0.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
0.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
0.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
0.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
0.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
0.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
0.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
0.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
0.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
0.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
0.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
0.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
0.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
0.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
0.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
0.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
0.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
0.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
0.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
0.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
0.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
0.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
0.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
0.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
0.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
0.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
0.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
0.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
0.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
0.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
0.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
0.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
0.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
0.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
0.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
0.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
0.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
0.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
0.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
0.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
0.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
0.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
0.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
0.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
0.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
0.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
0.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
0.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
0.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
0.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
0.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
0.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
0.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
0.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
0.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
0.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
0.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
0.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
0.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
0.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
0.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
0.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
0.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
0.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
0.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
0.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
0.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
0.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
0.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
0.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
0.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
0.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
0.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
0.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
0.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
0.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
0.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
0.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
0.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
0.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
0.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
0.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
0.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
0.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
0.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
0.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
0.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
0.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
0.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
0.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
0.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
0.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
0.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
0.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
0.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
0.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
0.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
0.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
0.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
0.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
0.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
0.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
0.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
0.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
0.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
0.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
0.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
0.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
0.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
0.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
0.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
0.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
0.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
0.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
0.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
0.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
0.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
0.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
0.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
0.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
0.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
0.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
0.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
0.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
0.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
0.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
0.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
0.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
0.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
0.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
0.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
0.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
0.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
0.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
0.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
0.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
0.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
0.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
0.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
0.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
0.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
0.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
0.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
0.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
0.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
0.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
0.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
0.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
0.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
0.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
0.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 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.
DDX3Y 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
5.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
25.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
24.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
19.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
19.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
17.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
11.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
9.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
9.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
7.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
7.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
6.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
6.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
5.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
4.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
4.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
4.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
3.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
0.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
0.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
0.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
0.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
0.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
0.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
0.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
0.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
0.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
0.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
0.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
0.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
0.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
0.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
0.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
0.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
0.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
0.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
0.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
0.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
0.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
0.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
0.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 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.
DDX3Y 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
12.7
Number of samples
207
Samples
Sample
Description
TPM
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
40.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
35.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
31.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
29.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
28.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
28.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
27.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
27.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
27.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
27.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
27.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
27.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
26.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
26.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
26.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
26.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
25.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
25.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
25.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
24.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
24.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
23.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
23.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
23.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
23.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
23.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
23.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
23.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
22.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
22.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
22.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
22.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
21.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
21.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
21.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
21.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
20.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
20.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
20.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
20.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
19.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
19.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
18.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
18.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
18.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
18.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
18.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
18.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
18.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
18.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
17.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
17.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
17.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
16.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
16.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
16.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
16.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
15.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
15.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
14.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
14.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
14.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
14.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
14.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
13.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
13.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
12.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
12.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
12.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
12.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
11.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
11.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
11.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
11.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
11.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
11.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
11.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
10.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
9.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
9.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
9.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
8.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
8.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
7.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
7.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
6.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
6.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
6.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
6.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
6.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
6.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
5.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
2.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
0.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
0.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
0.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
0.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
0.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
0.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
0.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
0.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
0.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
0.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
0.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
0.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
0.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
0.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
0.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
0.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
0.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
0.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
0.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
0.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
0.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
0.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
0.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
0.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
0.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
0.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
0.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
0.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
0.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
0.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
0.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
0.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
0.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
0.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
0.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
0.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
0.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
0.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
0.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
0.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
0.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
0.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
0.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
0.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
0.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
0.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
0.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
0.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
0.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
0.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
0.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
0.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
0.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
0.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
0.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
0.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
0.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
0.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
0.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
0.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
0.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
0.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
0.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
0.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
0.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
0.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
0.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
0.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
0.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
0.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
0.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
0.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
0.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
0.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
0.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
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
