We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
DDC 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
39.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
140.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
127.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
118.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
117.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
112.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
112.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
112.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
109.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
108.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
104.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
98.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
93.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
90.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
88.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
87.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
83.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
80.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
78.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
78.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
74.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
74.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
73.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
72.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
71.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
71.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
70.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
70.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
70.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
69.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
69.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
68.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
67.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
64.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
63.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
61.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
60.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
60.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
60.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
60.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
59.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
59.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
59.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
58.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
58.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
57.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
57.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
56.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
56.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
56.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
56.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
56.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
55.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
55.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
55.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
54.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
54.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
54.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
54.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
53.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
53.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
52.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
52.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
51.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
51.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
50.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
50.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
49.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
49.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
48.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
46.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
45.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
44.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
44.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
44.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
44.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
43.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
41.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
41.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
41.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
41.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
38.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
37.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
37.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
37.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
36.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
36.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
36.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
35.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
34.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
33.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
32.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
31.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
31.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
31.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
30.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
29.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
27.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
26.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
26.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
26.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
25.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
24.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
24.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
23.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
23.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
21.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
21.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
19.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
19.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
18.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
18.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
14.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
11.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
10.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
10.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
8.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
8.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
6.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
6.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
5.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
4.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
3.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
0.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
0.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
DDC 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
32.0
Number of samples
486
Samples
Sample
Description
TPM
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
229.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
185.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
122.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
120.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
101.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
99.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
98.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
97.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
89.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
88.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
87.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
84.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
83.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
83.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
77.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
75.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
74.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
73.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
72.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
72.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
71.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
70.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
69.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
69.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
68.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
64.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
63.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
61.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
61.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
60.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
57.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
55.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
54.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
53.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
51.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
47.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
47.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
46.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
45.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
45.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
42.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
41.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
40.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
40.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
40.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
40.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
38.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
37.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
36.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
35.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
35.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
35.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
35.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
34.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
34.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
34.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
34.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
34.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
34.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
34.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
34.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
34.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
33.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
33.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
32.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
31.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
30.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
30.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
29.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
29.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
29.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
29.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
29.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
29.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
29.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
29.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
29.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
29.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
28.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
28.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
28.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
27.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
27.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
27.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
27.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
27.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
27.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
27.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
26.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
26.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
26.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
25.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
25.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
25.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
25.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
25.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
25.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
25.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
24.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
24.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
24.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
24.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
24.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
24.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
24.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
24.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
23.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
23.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
23.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
23.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
23.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
23.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
23.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
23.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
22.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
22.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
22.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
22.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
22.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
22.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
22.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
21.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
21.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
21.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
21.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
20.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
20.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
20.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
20.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
20.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
20.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
20.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
20.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
20.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
20.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
20.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
20.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
19.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
19.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
19.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
19.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
19.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
19.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
19.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
19.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
19.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
19.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
19.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
18.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
18.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
18.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
18.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
18.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
18.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
18.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
18.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
18.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
18.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
17.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
17.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
17.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
17.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
17.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
17.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
17.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
17.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
17.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
17.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
16.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
16.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
16.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
16.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
16.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
16.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
15.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
15.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
15.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
15.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
15.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
15.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
15.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
15.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
15.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
14.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
14.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
14.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
14.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
14.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
13.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
13.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
13.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
13.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
12.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
12.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
12.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
12.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
12.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
12.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
12.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
12.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
11.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
11.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
11.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
11.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
11.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
11.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
11.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
10.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
10.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
10.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
10.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
10.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
10.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
10.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
9.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
9.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
9.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
9.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
9.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
9.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
9.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
9.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
8.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
8.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
8.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
8.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
8.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
8.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
8.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
8.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
8.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
8.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
8.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
8.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
7.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
7.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
7.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
7.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
6.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
6.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
6.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
6.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
5.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
5.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
5.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
5.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
5.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
5.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
5.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
5.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
5.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
4.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
4.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
4.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
4.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
4.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
4.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
3.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
3.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
3.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
3.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
3.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
2.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
2.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
2.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
0.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
0.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
0.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
0.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
0.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
0.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
0.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 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.
DDC 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
38.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
106.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
103.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
96.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
87.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
83.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
79.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
77.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
74.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
67.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
66.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
64.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
62.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
59.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
59.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
56.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
56.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
51.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
50.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
50.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
49.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
44.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
44.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
42.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
39.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
38.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
37.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
36.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
34.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
34.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
33.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
32.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
29.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
27.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
22.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
21.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
19.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
18.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
14.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
4.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
DDC 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
31.5
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
153.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
84.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
80.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
72.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
72.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
68.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
63.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
63.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
60.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
60.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
58.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
57.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
57.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
48.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
48.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
46.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
46.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
42.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
38.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
38.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
36.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
35.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
33.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
32.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
32.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
31.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
30.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
29.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
28.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
28.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
27.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
27.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
26.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
26.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
26.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
25.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
24.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
24.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
24.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
23.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
23.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
23.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
23.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
23.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
23.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
22.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
22.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
22.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
22.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
21.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
21.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
21.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
20.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
20.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
19.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
19.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
19.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
19.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
19.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
18.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
18.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
18.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
17.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
17.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
17.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
17.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
17.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
17.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
16.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
16.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
16.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
16.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
15.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
15.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
15.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
14.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
14.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
14.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
14.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
13.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
13.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
13.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
13.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
12.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
12.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
12.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
11.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
11.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
10.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
10.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
10.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
10.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
8.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
8.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
8.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
6.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
6.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
5.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
4.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
2.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
2.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
1.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.6
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
