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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.
DTX3L 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
20.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
75.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
54.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
52.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
45.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
41.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
38.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
36.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
34.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
30.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
30.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
29.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
29.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
29.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
29.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
28.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
28.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
27.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
26.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
26.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
25.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
25.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
25.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
25.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
25.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
25.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
25.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
25.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
24.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
24.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
24.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
23.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
23.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
23.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
23.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
23.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
23.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
22.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
22.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
21.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
21.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
21.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
21.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
21.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
21.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
21.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
20.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
20.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
20.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
20.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
20.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
20.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
19.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
19.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
19.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
19.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
19.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
19.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
18.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
18.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
18.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
18.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
18.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
18.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
18.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
18.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
18.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
17.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
17.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
17.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
16.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
16.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
15.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
15.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
15.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
15.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
15.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
14.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
14.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
14.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
14.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
14.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
14.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
14.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
13.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
13.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
13.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
12.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
12.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
12.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
10.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
9.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
9.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
DTX3L 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
53.4
Number of samples
486
Samples
Sample
Description
TPM
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
143.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
114.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
113.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
107.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
106.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
104.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
99.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
98.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
97.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
97.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
96.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
92.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
92.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
91.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
91.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
90.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
90.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
89.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
89.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
88.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
88.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
87.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
87.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
86.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
85.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
85.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
85.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
85.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
84.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
84.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
82.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
82.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
81.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
81.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
80.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
80.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
80.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
79.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
79.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
79.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
78.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
78.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
78.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
77.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
76.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
76.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
76.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
75.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
75.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
75.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
74.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
74.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
73.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
73.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
73.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
73.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
72.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
72.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
72.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
71.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
71.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
71.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
71.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
70.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
70.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
69.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
69.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
69.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
68.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
68.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
68.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
67.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
67.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
66.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
66.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
66.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
66.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
65.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
65.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
65.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
65.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
65.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
65.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
65.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
65.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
64.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
64.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
64.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
64.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
64.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
64.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
64.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
63.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
63.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
63.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
63.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
62.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
62.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
62.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
62.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
61.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
61.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
61.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
61.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
61.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
61.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
60.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
60.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
60.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
60.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
59.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
59.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
59.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
59.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
58.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
58.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
58.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
58.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
58.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
57.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
57.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
57.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
57.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
57.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
56.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
55.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
55.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
54.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
53.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
53.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
53.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
51.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
51.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
51.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
51.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
51.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
50.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
50.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
50.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
49.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
49.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
49.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
49.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
48.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
46.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
45.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
45.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
45.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
44.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
44.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
44.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
42.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
42.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
42.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
42.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
42.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
42.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
42.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
41.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
41.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
40.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
40.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
39.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
38.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
38.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
38.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
37.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
37.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
37.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
36.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
35.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
34.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
33.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
33.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
32.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
31.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
30.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
29.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
26.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
26.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
26.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
21.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DTX3L 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
20.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
53.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
32.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
30.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
30.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
30.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
29.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
25.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
25.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
24.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
23.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
22.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
22.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
21.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
21.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
20.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
20.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
20.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
19.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
19.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
18.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
18.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
16.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
16.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
14.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
13.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
12.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
DTX3L 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
48.8
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
104.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
92.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
90.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
86.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
82.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
81.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
79.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
75.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
75.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
74.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
74.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
74.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
73.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
72.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
71.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
71.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
70.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
69.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
68.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
67.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
67.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
64.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
63.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
62.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
62.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
62.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
62.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
62.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
60.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
60.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
60.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
59.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
57.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
56.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
55.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
53.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
52.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
51.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
48.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
48.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
47.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
45.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
45.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
44.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
44.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
42.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
41.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
39.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
39.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
35.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
34.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
33.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
30.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
26.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.9
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
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Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
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Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
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Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
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Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
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Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
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Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
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
